From 30964844c6b56706b5ff77597721c42ce2a84e27 Mon Sep 17 00:00:00 2001 From: Martin Gaitan Date: Sun, 11 Jun 2017 00:15:05 -0300 Subject: [PATCH] actualizacion --- Clase 2.ipynb | 1375 ++++--------- Clase 3.ipynb | 672 ++---- Clase 4.ipynb | 1394 ++++--------- Clase 5.ipynb | 1080 ++++++---- Clase 5b.ipynb | 184 +- Clase 6.ipynb | 340 +--- Clase 7.ipynb | 133 +- Clase 8.ipynb | 3949 ++++++++++++++++++++++-------------- img/circle.bmp | Bin 0 -> 5138 bytes img/numpy_manipulation.png | Bin 0 -> 61928 bytes 10 files changed, 4172 insertions(+), 4955 deletions(-) create mode 100644 img/circle.bmp create mode 100644 img/numpy_manipulation.png diff --git a/Clase 2.ipynb b/Clase 2.ipynb index 8eaa971..fecb091 100644 --- a/Clase 2.ipynb +++ b/Clase 2.ipynb @@ -38,8 +38,10 @@ }, { "cell_type": "code", - "execution_count": 50, - "metadata": {}, + "execution_count": null, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "def cuadrado(numero):\n", @@ -50,80 +52,36 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "9" - ] - }, - "execution_count": 51, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "cuadrado(3)" ] }, { "cell_type": "code", - "execution_count": 52, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "4e+20" - ] - }, - "execution_count": 52, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "cuadrado(2e10)" ] }, { "cell_type": "code", - "execution_count": 53, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(24-10j)" - ] - }, - "execution_count": 53, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "cuadrado(5-1j)" ] }, { "cell_type": "code", - "execution_count": 55, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "25" - ] - }, - "execution_count": 55, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "cuadrado(3 + 2)" ] @@ -144,22 +102,9 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "ename": "TypeError", - "evalue": "unsupported operand type(s) for ** or pow(): 'str' and 'int'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mcuadrado\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"hola mundo\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[1;32m\u001b[0m in \u001b[0;36mcuadrado\u001b[1;34m(numero)\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mcuadrado\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnumero\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;34m\"\"\"Dado un escalar, devuelve su potencia cuadrada\"\"\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mresulta\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnumero\u001b[0m\u001b[1;33m**\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 4\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mresulta\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for ** or pow(): 'str' and 'int'" - ] - } - ], + "outputs": [], "source": [ "cuadrado(\"hola mundo\")" ] @@ -185,17 +130,9 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "¡Hola curso de extension!\n" - ] - } - ], + "outputs": [], "source": [ "# definimos una funcion que no recibe ni devuelve parámetros pero hace algo. \n", "def hola():\n", @@ -211,18 +148,9 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "¡Hola curso de extension!\n", - "None\n" - ] - } - ], + "outputs": [], "source": [ "print(hola())" ] @@ -236,17 +164,9 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "¡Hola curso de extension!\n" - ] - } - ], + "outputs": [], "source": [ "saludo = hola()" ] @@ -268,8 +188,10 @@ }, { "cell_type": "code", - "execution_count": 67, - "metadata": {}, + "execution_count": null, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "hola.__doc__ = 'hola'\n" @@ -293,20 +215,9 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'Hola chochamus!'" - ] - }, - "execution_count": 73, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "def saludo(coloquial):\n", " if coloquial:\n", @@ -324,20 +235,9 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'Hola chochamus!'" - ] - }, - "execution_count": 74, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "saludo(coloquial=True)" ] @@ -364,19 +264,9 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Hola Martín, ¿qué tal?\n", - "Ey Fernando, ¿qué tal?\n", - "Estimado Lionel Messi, usted es un genio\n" - ] - } - ], + "outputs": [], "source": [ "def saludar(nombre, saludo=\"Hola\", sufijo=\"¿qué tal?\"):\n", " \"\"\"Dado un nombre y, opcionalmente, un saludo y/o sufijo, devuelve \n", @@ -391,20 +281,9 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'Hola oscar, ¿qué tal?'" - ] - }, - "execution_count": 76, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "saludar('oscar')" ] @@ -420,20 +299,9 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'Hola Lionel, que golazo hiciste'" - ] - }, - "execution_count": 78, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "saludar('Lionel', sufijo=\"que golazo hiciste\") # saludo no se explicitó, se usa el default (\"Hola\")" ] @@ -462,8 +330,6 @@ " *****************\n", "```\n", "\n", - "\n", - "\n", "" ] }, - { - "cell_type": "code", - "execution_count": 82, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "((1.2246467991473532e-16+2j), (-1.2246467991473532e-16-2j))" - ] - }, - "execution_count": 82, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# %load https://gist.githubusercontent.com/mgaitan/cb0ad9778453607acb49/raw/8d85d2184a4b46b48440cf5b5d95062801a08cce/baskara.py\n", - "def baskara(a, b=0, c=0):\n", - " \"\"\"dados los coeficientes, encuentra los valores de x tal que ax^2 + bx + c = 0\"\"\"\n", - "\n", - " discriminante = (b**2 - 4*a*c)**0.5\n", - " x1 = (-b + discriminante)/(2*a)\n", - " x2 = (-b - discriminante)/(2*a)\n", - " return (x1, x2)\n", - " \n", - "baskara(1, 0, 4)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "************************************************************\n", - "* *\n", - "* Hola *\n", - "* *\n", - "************************************************************\n", - "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n", - "% %\n", - "% %\n", - "% Grosoooo! %\n", - "% %\n", - "% %\n", - "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%\n" - ] - } - ], - "source": [ - "# %load https://gist.githubusercontent.com/mgaitan/6319640/raw/8183dc5b214397f0ff2d38a25ebdd128a1a3ca0f/gistfile1.txt" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "------------------------------------------------------------\n", - "- -\n", - "- Vamos Boca! -\n", - "- -\n", - "------------------------------------------------------------\n" - ] - } - ], - "source": [ - "print(marquesina('Vamos Boca!', caracter='-'))" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -562,7 +350,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "list(zip((1, 2, 3), ('a', 'b', 'c'), ('alfa', 'beta', 'gama', 'theta')))" @@ -577,8 +367,10 @@ }, { "cell_type": "code", - "execution_count": 86, - "metadata": {}, + "execution_count": null, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "def prod(*args):\n", @@ -595,40 +387,18 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "24" - ] - }, - "execution_count": 87, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "prod(3, 4, 2)" ] }, { "cell_type": "code", - "execution_count": 89, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "420.0" - ] - }, - "execution_count": 89, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "prod(10, 20, 2.1)" ] @@ -651,20 +421,9 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'Carlitos': 10, 'Gaitán': 'Jugador Nº 12', 'Gonzales': 'no juega'}" - ] - }, - "execution_count": 92, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "dict(Carlitos=10, Gaitán='Jugador Nº 12', Gonzales= 'no juega')" ] @@ -678,32 +437,26 @@ }, { "cell_type": "code", - "execution_count": 93, - "metadata": {}, - "outputs": [], - "source": [ - "def itemizar(**kwargs):\n", - " \"\"\"genera una lista de items con todos los argumentos dados\"\"\"\n", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def itemizar(**kwargs):\n", + " \"\"\"\n", + " genera una lista de items con todos los argumentos dados\n", + " \"\"\"\n", + " \n", " for clave, valor in kwargs.items():\n", " print('* {0} ({1})'.format(clave, valor))" ] }, { "cell_type": "code", - "execution_count": 95, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "* tornillos (10)\n", - "* cualquiera (10)\n", - "* cosa (40)\n", - "* lija (2)\n" - ] - } - ], + "outputs": [], "source": [ "itemizar(tornillos=10, lija=2, cualquiera=10, cosa=40)" ] @@ -717,8 +470,10 @@ }, { "cell_type": "code", - "execution_count": 96, - "metadata": {}, + "execution_count": null, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "def f(a1,*args,**kwargs):\n", @@ -729,70 +484,29 @@ }, { "cell_type": "code", - "execution_count": 97, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "a1= 4\n", - "args= ()\n", - "kwargs= {}\n" - ] - } - ], + "outputs": [], "source": [ "f(4) # solo definido el parámetro común a" ] }, { "cell_type": "code", - "execution_count": 98, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "a1= valor\n", - "args= (1, 2)\n", - "kwargs= {}\n" - ] - } - ], + "outputs": [], "source": [ "f('valor', 1, 2) # 'a1' y dos argumentos posicionales arbitrarios" ] }, { "cell_type": "code", - "execution_count": 99, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "a1= 2\n", - "args= (1, 2)\n", - "kwargs= {'detallado': True, 'color': 'azul'}\n" - ] - } - ], - "source": [ - "f('2', 1, 2, color='azul', detallado=True) # " - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": true - }, "outputs": [], "source": [ - "zip?" + "f('2', 1, 2, color='azul', detallado=True) # " ] }, { @@ -801,7 +515,7 @@ "source": [ "\n", "\n", - "** NOTA **: No es necesario los nombres \"args\" y \"kwargs\", podemos llamarlas diferente! los simbolos que indican cantidades arbitrarias de parametros son `*` y `**`. Además es posible poner parametros \"comunes\" antes de los parametros arbritarios.\n", + "
** NOTA **: No es necesario los nombres \"args\" y \"kwargs\", podemos llamarlas diferente, pero es una convención muy extendida. Estrictamente, los simbolos que indican cantidades arbitrarias de parametros son `*` y `**`. Además es posible poner parametros \"comunes\" antes de los parametros arbritarios.
\n", "\n", "\n", "\n" @@ -819,22 +533,11 @@ }, { "cell_type": "code", - "execution_count": 100, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'Che José, sos vivo?'" - ] - }, - "execution_count": 100, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "otra_data = ('Che', 'sos vivo?')\n", + "otra_data = ('hola', '¿cómo va?')\n", "\n", "saludo, sufijo = otra_data\n", "\n", @@ -843,20 +546,9 @@ }, { "cell_type": "code", - "execution_count": 102, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'Che José, sos vivo?'" - ] - }, - "execution_count": 102, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "saludar('José', *otra_data)" ] @@ -874,21 +566,9 @@ }, { "cell_type": "code", - "execution_count": 104, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "ename": "TypeError", - "evalue": "saludar() got an unexpected keyword argument 'otra'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mmi_data\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m{\u001b[0m\u001b[1;34m'nombre'\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;34m'Cristian'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'saludo'\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;34m'Ey'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'sufijo'\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;34m'qué onda?'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'otra'\u001b[0m\u001b[1;33m:\u001b[0m \u001b[1;34m'color'\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0msaludar\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m**\u001b[0m\u001b[0mmi_data\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[1;31mTypeError\u001b[0m: saludar() got an unexpected keyword argument 'otra'" - ] - } - ], + "outputs": [], "source": [ "mi_data = {'nombre': 'Cristian', 'saludo': 'Ey', 'sufijo': 'qué onda?', 'otra': 'color'}\n", "\n", @@ -897,8 +577,10 @@ }, { "cell_type": "code", - "execution_count": 105, - "metadata": {}, + "execution_count": null, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "def saludar2(nombre, saludo=\"Hola\", sufijo=\"¿qué tal?\", **kwargs):\n", @@ -911,20 +593,9 @@ }, { "cell_type": "code", - "execution_count": 107, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'Ey Cristian, qué onda?'" - ] - }, - "execution_count": 107, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "saludar2(**mi_data)" ] @@ -938,8 +609,10 @@ }, { "cell_type": "code", - "execution_count": 109, - "metadata": {}, + "execution_count": null, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "import this" @@ -947,7 +620,7 @@ }, { "cell_type": "code", - "execution_count": 110, + "execution_count": null, "metadata": { "collapsed": true }, @@ -959,7 +632,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "mi_data = {'nombre': 'Cristian', 'saludo': 'Ey', 'sufijo': 'qué onda', 'color': 'roja'}\n", @@ -977,49 +652,6 @@ "\n" ] }, - { - "cell_type": "code", - "execution_count": 118, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# %load https://gist.githubusercontent.com/mgaitan/6bda75780aa826b45d09/raw/a1fb74873c98f4dff1b3689dae7246c490fb88ec/prod_enmarcable.py\n", - "def prod(*args, enmarcar=False, **kwargs):\n", - " \"\"\"\n", - " calcula la productoria de todos los argumentos dados\n", - " \"\"\"\n", - " \n", - " # print(args) # args es una tupla de los argumentos posicionales dados. \n", - " producto = 1\n", - " for num in args: \n", - " producto *= num # igual a producto = producto * num\n", - " if enmarcar:\n", - " return marquesina(producto, **kwargs)\n", - " return producto" - ] - }, - { - "cell_type": "code", - "execution_count": 120, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'**********\\n* *\\n* *\\n* 10 *\\n* *\\n* *\\n**********'" - ] - }, - "execution_count": 120, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "prod(1, 2, 5, enmarcar=True, ancho=10, alto=2)" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -1035,28 +667,8 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 121, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - " File \"\", line 3\n", - " def f(*args, mayus=False):\n", - " ^\n", - "SyntaxError: invalid syntax\n" - ] - } - ], + "outputs": [], "source": [ "%%python2 \n", "\n", @@ -1070,20 +682,9 @@ }, { "cell_type": "code", - "execution_count": 122, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'HOLA CURSO!'" - ] - }, - "execution_count": 122, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "def f(*args, mayus=False):\n", " s = ' '.join(args)\n", @@ -1104,22 +705,20 @@ }, { "cell_type": "code", - "execution_count": 125, + "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "************************************************************\n", - "* *\n", - "* 3 *\n", - "* *\n", - "************************************************************\n" + "10\n" ] } ], "source": [ + "marquesina = lambda x: 10\n", + "\n", "def sumar(a, b, enmarcar=False):\n", " result = a + b\n", " if enmarcar:\n", @@ -1131,22 +730,22 @@ }, { "cell_type": "code", - "execution_count": 126, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'************************************************************\\n* *\\n* 3 *\\n* *\\n************************************************************'" + "10" ] }, - "execution_count": 126, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "sumar(1, 2, 3) # ups!" + "sumar(1, 2, 3) # bug" ] }, { @@ -1158,7 +757,7 @@ }, { "cell_type": "code", - "execution_count": 127, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -1166,10 +765,10 @@ "evalue": "sumar() takes 2 positional arguments but 3 were given", "output_type": "error", "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 6\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 7\u001b[1;33m \u001b[0msumar\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m3\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[1;31mTypeError\u001b[0m: sumar() takes 2 positional arguments but 3 were given" + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0msumar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m: sumar() takes 2 positional arguments but 3 were given" ] } ], @@ -1185,21 +784,9 @@ }, { "cell_type": "code", - "execution_count": 129, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "************************************************************\n", - "* *\n", - "* 3 *\n", - "* *\n", - "************************************************************\n" - ] - } - ], + "outputs": [], "source": [ "print(sumar(1,2, enmarcar=True))" ] @@ -1213,37 +800,9 @@ }, { "cell_type": "code", - "execution_count": 131, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The Zen of Python, by Tim Peters\n", - "\n", - "Beautiful is better than ugly.\n", - "Explicit is better than implicit.\n", - "Simple is better than complex.\n", - "Complex is better than complicated.\n", - "Flat is better than nested.\n", - "Sparse is better than dense.\n", - "Readability counts.\n", - "Special cases aren't special enough to break the rules.\n", - "Although practicality beats purity.\n", - "Errors should never pass silently.\n", - "Unless explicitly silenced.\n", - "In the face of ambiguity, refuse the temptation to guess.\n", - "There should be one-- and preferably only one --obvious way to do it.\n", - "Although that way may not be obvious at first unless you're Dutch.\n", - "Now is better than never.\n", - "Although never is often better than *right* now.\n", - "If the implementation is hard to explain, it's a bad idea.\n", - "If the implementation is easy to explain, it may be a good idea.\n", - "Namespaces are one honking great idea -- let's do more of those!\n" - ] - } - ], + "outputs": [], "source": [ "%%python3\n", "import this" @@ -1260,20 +819,9 @@ }, { "cell_type": "code", - "execution_count": 132, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "3.14" - ] - }, - "execution_count": 132, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "pi = 3.14\n", "\n", @@ -1286,18 +834,9 @@ }, { "cell_type": "code", - "execution_count": 133, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "3.1415\n", - "3.14\n" - ] - } - ], + "outputs": [], "source": [ "pi = 3.14\n", "\n", @@ -1317,17 +856,9 @@ }, { "cell_type": "code", - "execution_count": 136, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'BLAH': 'bleh', 'b': 'algo', 'a': '1'}\n" - ] - } - ], + "outputs": [], "source": [ "pi = 2\n", "def namespaces(a, b):\n", @@ -1346,17 +877,9 @@ }, { "cell_type": "code", - "execution_count": 138, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[10, 'b']\n" - ] - } - ], + "outputs": [], "source": [ "def f2(l):\n", " l[0] = 10 \n", @@ -1369,27 +892,9 @@ }, { "cell_type": "code", - "execution_count": 140, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[10, 'b']\n" - ] - }, - { - "data": { - "text/plain": [ - "['a', 'b']" - ] - }, - "execution_count": 140, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "def f3(l):\n", " l1 = l.copy()\n", @@ -1405,7 +910,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "# pero se modificó el objeto fuera de la funcion\n", @@ -1422,7 +929,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "def f2(l):\n", @@ -1441,45 +950,10 @@ "\n", "* Una función puede retornar cualquier objeto y en Python todo es un objeto. Defina una [función de orden superior](https://es.wikipedia.org/wiki/Funci%C3%B3n_de_orden_superior) (función que devuelve funciones) llamada `lineal` que dados los coeficientes `a` y `b` devuelve $$f(x) = ax + b$$\n", "\n", - "\n", + "* Mejorar la función anterior, generando un docstring dinámico para cada función devuelta indicando la función lineal específica que resuelve\n", "\n", - "* Mejorar la función anterior, generando un docstring dinámico para cada función devuelta indicando la función lineal específica que resuelve" - ] - }, - { - "cell_type": "code", - "execution_count": 153, - "metadata": {}, - "outputs": [], - "source": [ - "# %load https://gist.githubusercontent.com/mgaitan/a5fac459bf360f54d96e/raw/3b0d50048503399662cca97fb7c62025cdecb6cc/lineal_factory.py\n", - "def lineal(a,b):\n", - " def f(x):\n", - " return a*x + b\n", - " f.__doc__ = \"Calcula {}x + {}\".format(a, b)\n", - " return f" - ] - }, - { - "cell_type": "code", - "execution_count": 154, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "l = lineal(3, 2)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "l" + "\n", + "" ] }, { @@ -1490,23 +964,14 @@ "\n", "\n", "\n", - "Los generadores son similares a las funciones, pero permiten generar **una serie de resultados** para ser iterados (o sea, genera un iterador), devolviendo un valor por cada llamada. Ejemplos de funciones generadoras son `zip`, `enumerate` y `range`, que ya vimos. \n", + "Los generadores son similares a las funciones, pero permiten crear **una serie de resultados** para ser iterados (o sea, genera un iterador), devolviendo un valor por cada llamada. Ejemplos de funciones generadoras son `zip`, `enumerate`, `range` y `reversed`, que ya vimos. \n", "\n", "También mencionamos la versión por comprensión `(f(x) for x in iter)`. La forma funcional es casi igual a la las funciones comunes, pero en vez de `return` se utiliza `yield` que funciona como **una pausa** (devolviendo opcionalmente un valor) en la ejecución.\n" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 155, + "execution_count": 14, "metadata": { "collapsed": true }, @@ -1524,23 +989,23 @@ }, { "cell_type": "code", - "execution_count": 156, + "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 156, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "g = generador_ejemplo()\n", - "g" + "valores = generador_ejemplo()\n", + "valores" ] }, { @@ -1552,101 +1017,38 @@ }, { "cell_type": "code", - "execution_count": 157, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "antes del primer yield\n" - ] - }, - { - "data": { - "text/plain": [ - "1" - ] - }, - "execution_count": 157, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "next(g)" + "next(valores)" ] }, { "cell_type": "code", - "execution_count": 158, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "antes del segundo\n" - ] - } - ], + "outputs": [], "source": [ - "next(g)" + "next(valores)" ] }, { "cell_type": "code", - "execution_count": 159, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "antes del último\n" - ] - }, - { - "data": { - "text/plain": [ - "10" - ] - }, - "execution_count": 159, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "next(g)" + "next(valores)" ] }, { "cell_type": "code", - "execution_count": 160, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "final\n" - ] - }, - { - "ename": "StopIteration", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mStopIteration\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mnext\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[1;31mStopIteration\u001b[0m: " - ] - } - ], + "outputs": [], "source": [ - "next(g)" + "next(valores)" ] }, { @@ -1658,23 +1060,9 @@ }, { "cell_type": "code", - "execution_count": 161, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "antes del primer yield\n", - "Valor: 1\n", - "antes del segundo\n", - "Valor: None\n", - "antes del último\n", - "Valor: 10\n", - "final\n" - ] - } - ], + "outputs": [], "source": [ "for valor in generador_ejemplo():\n", " print('Valor: ', valor)" @@ -1689,16 +1077,35 @@ }, { "cell_type": "code", - "execution_count": 162, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[0, 1, 1, 2, 3, 5, 8, 13, 21, 34]" + "[0,\n", + " 1,\n", + " 1,\n", + " 2,\n", + " 3,\n", + " 5,\n", + " 8,\n", + " 13,\n", + " 21,\n", + " 34,\n", + " 55,\n", + " 89,\n", + " 144,\n", + " 233,\n", + " 377,\n", + " 610,\n", + " 987,\n", + " 1597,\n", + " 2584,\n", + " 4181]" ] }, - "execution_count": 162, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -1714,7 +1121,7 @@ " # con los valores de locals() tal como estaban antes de hacer el yield\n", " a, b = b, a + b\n", "\n", - "list(fibonacci(10))" + "list(fibonacci(20))" ] }, { @@ -1735,32 +1142,6 @@ "-->" ] }, - { - "cell_type": "code", - "execution_count": 167, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[['A', 'B']]" - ] - }, - "execution_count": 167, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# %load https://gist.githubusercontent.com/mgaitan/2b11d202a6aec12994b7/raw/cb791ab0252f2cb24de0bf5fd9513ded6d01c3e8/encadenar.py\n", - "def encadenar(*args):\n", - " for iterador in args:\n", - " for elemento in iterador:\n", - " yield elemento\n", - "\n", - "list(encadenar(['A', 'B'], ['C', 'D']))\n" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -1776,41 +1157,18 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "ename": "ValueError", - "evalue": "invalid literal for int() with base 10: 'diez'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'diez'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[1;31mValueError\u001b[0m: invalid literal for int() with base 10: 'diez'" - ] - } - ], + "outputs": [], "source": [ "int('diez')" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ingrese un número entero: diez\n", - "Eso no es un número válido.\n", - "Ingrese un número entero: 10\n", - "qué lindo número el 10\n" - ] - } - ], + "outputs": [], "source": [ "while True:\n", " try:\n", @@ -1830,21 +1188,11 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ingrese el divisor: 0\n", - "hubo un error de division por cero, obvio\n", - "no sé qué pasó ni me interesa: yo me ejecuto igual\n" - ] - } - ], + "outputs": [], "source": [ "\n", "try:\n", @@ -1872,46 +1220,17 @@ "\n", "1. Redefina el siguiente fragmento de código en una estructura `try / except`\n", "\n", - "" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ingrese opcion d\n" - ] - }, - { - "ename": "ValueError", - "evalue": "valor invalido!", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 5\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Vamos a '\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mopciones\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mopcion\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 6\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mKeyError\u001b[0m: 'd'", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Vamos a '\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mopciones\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mopcion\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 6\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 7\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'valor invalido!'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 8\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mValueError\u001b[0m: valor invalido!" - ] - } - ], - "source": [ + "```python\n", "opciones = {'a': 'jugar', 'b': 'bailar', 'c': 'dormir siesta'}\n", "\n", "opcion = input(\"Ingrese opcion \")\n", - "try:\n", - " print('Vamos a ', opciones[opcion])\n", - "except KeyError:\n", - " raise ValueError('valor invalido!')\n", - " " + "if opcion in opciones:\n", + " print('Vamos a ', opciones[opcion])\n", + "else:\n", + " print('Valor invalido')\n", + "```\n", + "\n", + "" ] }, { @@ -1923,48 +1242,6 @@ "outputs": [], "source": [] }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "ename": "ValueError", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[1;31mValueError\u001b[0m: " - ] - } - ], - "source": [ - "raise ValueError" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "ename": "KeyError", - "evalue": "'d'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mopciones\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'd'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[1;31mKeyError\u001b[0m: 'd'" - ] - } - ], - "source": [ - "opciones['d']" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -1987,7 +1264,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -2000,16 +1277,16 @@ ], "source": [ "%%writefile archivo.txt\n", - "UN EJEMPLITO DE TEXTO\n", + "UN EJEMPLO DE TEXTO\n", "\n", - "CON MUCHAS LINEAS\n", + "CON MULTIPLES LINEAS\n", "\n", - "YEAH!" + "SI!" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -2034,16 +1311,16 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'TO DE TEXTO\\n\\nCON MUCHAS LINEAS\\n\\nYEAH!'" + "'UN EJEMPLO DE TEXTO\\n\\nCON MULTIPLES LINEAS\\n\\nSI!'" ] }, - "execution_count": 14, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -2054,6 +1331,15 @@ "texto" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, @@ -2067,21 +1353,9 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "UN EJEMPLITO DE TEXTO\n", - "\n", - "CON MUCHAS LINEAS\n", - "\n", - "YEAH\n" - ] - } - ], + "outputs": [], "source": [ "readme = open('archivo.txt')\n", "for linea in readme:\n", @@ -2090,24 +1364,9 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Curso de Python para ciencias e ingenierías\n", - "\n", - "==============================================\n", - "\n", - "\n", - "\n", - "Un curso de Python orientado a estudiantes de ciencias e ingenieria, profesores, ingenieros e investigadores.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "readme = open('README.rst')\n", "for i, linea in enumerate(readme):\n", @@ -2119,17 +1378,9 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], + "outputs": [], "source": [ "readme2 = open('archivo.txt', 'r')\n", "\n", @@ -2145,25 +1396,12 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Curso de Python para ciencias e ingenierías\n", - "==============================================\n", - "\n", - "Un curso de Python orientado a estudiantes de ciencias e ingenieria, profesores, ingenieros e investigadores.\n", - "\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "with open('README.rst', 'r') as readme:\n", - " lineas = readme.readlines()[0:5] #mete las líneas en una lista\n", + " lineas = readme.readlines()[0:5] #mete las líneas en una lista\n", "print(''.join(lineas))\n" ] }, @@ -2178,28 +1416,73 @@ ] }, { - "cell_type": "code", - "execution_count": 30, + "cell_type": "markdown", "metadata": { "collapsed": true }, - "outputs": [], "source": [ - "# %load https://gist.githubusercontent.com/mgaitan/2c991ea473a8d8c4ab32/raw/3a39cb083a614952bf8ee93ff9f8c4fa2f56784c/convertidor.py\n", - "def convertidor(archivo):\n", - " with open(archivo, 'r') as entrada:\n", - " salida = entrada.read().lower()\n", - " with open('lower_' + archivo, 'w') as archivo_salida:\n", - " archivo_salida.write(salida)" + "### Archivos binarios" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "**No te olvides de dar el presente a esta clase**\n", + "La manipulación de archivos binarios es equivalente. \n", + "\n", "\n", - "http://goo.gl/forms/DDlrgoJHAk" + "\n", + "![](files/img/circle.bmp)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "b'BM\\x12\\x14\\x00\\x00\\x00\\x00\\x00\\x00\\x8a\\x00\\x00\\x00|\\x00\\x00\\x002\\x00\\x00\\x002\\x00\\x00\\x00\\x01\\x00\\x10\\x00\\x03\\x00\\x00\\x00\\x88\\x13\\x00\\x00\\x13\\x0b\\x00\\x00\\x13\\x0b\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\xf8\\x00\\x00\\xe0\\x07\\x00\\x00\\x1f\\x00\\x00\\x00\\x00\\x00\\x00\\x00BGRs\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x02\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xde\\xff\\xdb\\xfeU\\xfd\\x8e\\xfb\\x08\\xfa\\xc3\\xf8!\\xf8!\\xf8\\xc3\\xf8\\x08\\xfa\\x8e\\xfbU\\xfd\\xdb\\xfe\\xde\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xdf\\xff8\\xfe\\xcb\\xfa\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xcb\\xfa8\\xfe\\xdf\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xbe\\xff\\xd3\\xfc\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xd3\\xfc\\xbe\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xffu\\xfd\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8u\\xfd\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff<\\xff\\xc7\\xf9\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xc7\\xf9<\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xf7\\xfd\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xf7\\xfd\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xf3\\xfc\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xf3\\xfc\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xb2\\xfc\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xb2\\xfc\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\x14\\xfd\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x14\\xfd\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff8\\xfe\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf88\\xfe\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff}\\xff\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8}\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\x8a\\xfa\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x8a\\xfa\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xf7\\xfd\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xf7\\xfd\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xdf\\xff!\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8!\\xf8\\xdf\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\x96\\xfd\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x96\\xfd\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xc3\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xc3\\xf8\\xff\\xff\\xff\\xff\\xff\\xff\\xba\\xfe\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xba\\xfe\\xff\\xff\\xff\\xff\\xcf\\xfb\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xcf\\xfb\\xff\\xff\\xff\\xff\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xff\\xff<\\xff\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8<\\xff\\xd7\\xfd\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xd7\\xfd0\\xfc\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf80\\xfc\\xaa\\xfa\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xaa\\xfaE\\xf9\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8E\\xf9a\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8a\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8a\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8a\\xf8E\\xf9\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8E\\xf9\\xaa\\xfa\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xaa\\xfa0\\xfc\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf80\\xfc\\xd7\\xfd\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xd7\\xfd<\\xff\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8<\\xff\\xff\\xff\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xff\\xff\\xff\\xff\\xcf\\xfb\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xcf\\xfb\\xff\\xff\\xff\\xff\\xba\\xfe\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xba\\xfe\\xff\\xff\\xff\\xff\\xff\\xff\\xc3\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xc3\\xf8\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\x96\\xfd\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x96\\xfd\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xdf\\xff!\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8!\\xf8\\xdf\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xf7\\xfd\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xf7\\xfd\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\x8a\\xfa\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x8a\\xfa\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff}\\xff\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8}\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff8\\xfe\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf88\\xfe\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\x14\\xfd\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x14\\xfd\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xb2\\xfc\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xb2\\xfc\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xf3\\xfc\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xf3\\xfc\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xf7\\xfd\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xf7\\xfd\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff<\\xff\\xc7\\xf9\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xc7\\xf9<\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xffu\\xfd\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8u\\xfd\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xbe\\xff\\xd3\\xfc\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xd3\\xfc\\xbe\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xdf\\xff8\\xfe\\xcb\\xfa\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\x00\\xf8\\xcb\\xfa8\\xfe\\xdf\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff'" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with open('img/circle.bmp', 'rb') as img_file:\n", + " img_data = img_file.read()\n", + "img_data" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "bytes" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(img_data)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Por ejemplo, podemos " ] }, { @@ -2210,38 +1493,126 @@ }, "outputs": [], "source": [ - "convertidor('archivo.txt')" + "with open('circle_edited.bmp', 'wb') as img_file: \n", + " img_file.write(img_data.replace(b'\\xff', b'\\x00'))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![](files/circle_edited.bmp)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "A veces, la información binaria es simplemente texto y sólo hace falta \"decodificarlo\" para que python lo convierta a un objeto unicode. Para eso se usa el método `decode()` al que se le pasa el tipo de \"encoding\" (latin-1, ascii, utf8, etc). " ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'BM\\x12\\x14\\x00\\x00\\x00\\x00\\x00\\x00\\x8a\\x00\\x00\\x00|\\x00\\x00\\x002\\x00\\x00\\x002\\x00\\x00\\x00\\x01\\x00\\x10\\x00'" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "img_data.decode('latin-1')[0:30]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "esa representacion como texto de datos que no son texto no es muy util. Sin embargo a veces es util convertir a una representación hexadecimal" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'424d12140000000000008a0000007c'" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "img_data.hex()[0:30]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Qué pasa si una estructura de datos binaria del archivo es compuesta? Por ejemplo, texto, números, etc. Para eso existe el módulo `struct`" + ] + }, + { + "cell_type": "code", + "execution_count": 43, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "un ejemplito de texto\r\n", - "\r\n", - "con muchas lineas\r\n", - "\r\n", - "yeah!" + "Original values: (1, b'ab', 2.7)\n", + "Format string : b'I 2s f'\n", + "Uses : 12 bytes\n", + "Packed Value : 0100000061620000cdcc2c40\n" ] } ], "source": [ - "!cat lower_archivo.txt" + "import struct \n", + "\n", + "values = (1, 'ab'.encode('utf-8'), 2.7)\n", + "s = struct.Struct('I 2s f')\n", + "packed_data = s.pack(*values)\n", + "\n", + "print('Original values:', values)\n", + "print('Format string :', s.format)\n", + "print('Uses :', s.size, 'bytes')\n", + "print('Packed Value :', packed_data.hex())" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1, b'ab', 2.700000047683716)" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s.unpack(packed_data)" + ] } ], "metadata": { diff --git a/Clase 3.ipynb b/Clase 3.ipynb index 1018318..ec38bfd 100644 --- a/Clase 3.ipynb +++ b/Clase 3.ipynb @@ -7,20 +7,9 @@ "# Introducción a Python para ciencias e ingenierías (notebook 3)\n", "\n", "\n", - "### Proximamente conocido como \"Python para lavar mejor los platos\" :-/ \n", - "\n", - "\n", "Ing. Martín Gaitán \n", "\n", "\n", - "Twitter: `@tin_nqn_`\n", - "\n", - "\n", - "** Registrá tu asistencia a esta clase **\n", - "\n", - "### http://goo.gl/forms/GbPdjSwSmh\n", - "\n", - "\n", "**Links útiles**\n", "\n", "Repositorio del curso:\n", @@ -76,9 +65,7 @@ { "cell_type": "code", "execution_count": 22, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -108,7 +95,7 @@ "cell_type": "code", "execution_count": 7, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -118,9 +105,7 @@ { "cell_type": "code", "execution_count": 8, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -140,9 +125,7 @@ { "cell_type": "code", "execution_count": 15, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -163,9 +146,7 @@ { "cell_type": "code", "execution_count": 23, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -192,9 +173,7 @@ { "cell_type": "code", "execution_count": 17, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -214,9 +193,7 @@ { "cell_type": "code", "execution_count": 18, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -243,9 +220,7 @@ { "cell_type": "code", "execution_count": 24, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -307,9 +282,7 @@ { "cell_type": "code", "execution_count": 36, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -327,9 +300,7 @@ { "cell_type": "code", "execution_count": 39, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -350,7 +321,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "#### Herencia\n", + "### Herencia\n", "\n", "Un cuadrado es un tipo especial de rectángulo, donde base == altura. En vez de escribir una clase casi igual, hagamos una **herencia**\n", "\n" @@ -387,9 +358,7 @@ { "cell_type": "code", "execution_count": 32, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -410,9 +379,7 @@ { "cell_type": "code", "execution_count": 33, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -432,9 +399,7 @@ { "cell_type": "code", "execution_count": 34, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -480,9 +445,7 @@ { "cell_type": "code", "execution_count": 42, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -503,9 +466,7 @@ { "cell_type": "code", "execution_count": 43, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -542,7 +503,7 @@ "cell_type": "code", "execution_count": 44, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -562,9 +523,7 @@ { "cell_type": "code", "execution_count": 45, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -582,9 +541,7 @@ { "cell_type": "code", "execution_count": 46, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -615,159 +572,6 @@ "\n" ] }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "13" - ] - }, - "execution_count": 50, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# %load https://gist.githubusercontent.com/mgaitan/68f072b0243e0c85e85a/raw/9830ddc624c752e2ef661ac0db41355b4fb1514a/clases.py\n", - "class Estudiante:\n", - " def __init__(self, nombre, ingreso):\n", - " self.nombre = nombre\n", - " self.ingreso = ingreso\n", - "\n", - " def años_cursado(self):\n", - " return 2015 - self.ingreso\n", - "\n", - " def __len__(self):\n", - " return self.años_cursado()\n", - "\n", - "\n", - "martin = Estudiante('martin', 2002)\n", - "martin.años_cursado()" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "13" - ] - }, - "execution_count": 52, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(martin)" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "6.5" - ] - }, - "execution_count": 58, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "\n", - "\n", - "\n", - "class Lineal:\n", - " def __init__(self, a, b):\n", - " self.a = a\n", - " self.b = b\n", - "\n", - " def calcular(self, x):\n", - " return self.a*x + self.b\n", - "\n", - " def __call__(self, x):\n", - " return self.calcular(x)\n", - "\n", - "\n", - "\n", - "f1 = Lineal(1, 2)\n", - "f1(x=4.5)" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "3" - ] - }, - "execution_count": 55, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "f1(1)" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "7.3890560989306495" - ] - }, - "execution_count": 59, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "\n", - "\n", - "\n", - "import math\n", - "class Exponencial(Lineal):\n", - "\n", - " def calcular(self, x):\n", - " return self.a*x**self.b\n", - "\n", - "\n", - "\n", - "e = Exponencial(1, 2)\n", - "e(math.e)" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -780,7 +584,7 @@ "\n", "Hay que crear **módulos**. \n", "\n", - "Por ejemplo, creemos un un módulo para guardar la función que encuentra raices de segundo grado.\n", + "Por ejemplo, creemos un módulo para guardar la función que encuentra raíces de segundo grado.\n", "\n", "Podemos abrir cualquier editor (incluído el que trae el propio jupyter), o alternativamente podemos preceder la celda con la \"función magic\" (que aporta Jupyter y se denotan por empezar con `%` o `%%`), en este caso `%%writefile`\n", "\n", @@ -790,9 +594,7 @@ { "cell_type": "code", "execution_count": 60, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -827,7 +629,7 @@ "cell_type": "code", "execution_count": 61, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -838,14 +640,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Esto nos crea un *\"espacio de nombres\"* llamado `cuadratica`, dentro del cual está la función que definimos " + "El módulo `cuadratica` importado funciona como *\"espacio de nombres\"*, donde todos los objetos definidos dentro son atributos" ] }, { "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -855,9 +657,7 @@ { "cell_type": "code", "execution_count": 62, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -878,7 +678,7 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -897,9 +697,7 @@ { "cell_type": "code", "execution_count": 63, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -929,7 +727,7 @@ "cell_type": "code", "execution_count": 64, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -1007,35 +805,23 @@ }, { "cell_type": "code", - "execution_count": 66, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "mkdir: no se puede crear el directorio «paquete»: El archivo ya existe\r\n" - ] - } - ], + "execution_count": 2, + "metadata": {}, + "outputs": [], "source": [ "%mkdir paquete # creamos un directorio \"paquete\"" ] }, { "cell_type": "code", - "execution_count": 70, - "metadata": { - "collapsed": false - }, + "execution_count": 3, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Overwriting paquete/__init__.py\n" + "Writing paquete/__init__.py\n" ] } ], @@ -1047,10 +833,8 @@ }, { "cell_type": "code", - "execution_count": 71, - "metadata": { - "collapsed": false - }, + "execution_count": 6, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -1074,7 +858,7 @@ " ) ;v, x=w,h; C = range(-1,v*x \n", " +1);import struct; P = struct.pack;M, \\\n", " j =b'\n", + "\n", + "\n", "2. Genere un archivo csv donde la primera columna es la serie de enteros 1 a 10 inclusive, la segunda columna el logaritmo natural para el numero correspondiente de la primera columna, y una tercera que el logaritmo en base 10. \n", "\n", " [(i, math.log(i), math.log10(i)) for i in range(1, 11)]\n" @@ -1286,16 +1073,14 @@ }, { "cell_type": "code", - "execution_count": 78, - "metadata": { - "collapsed": false - }, + "execution_count": 11, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Overwriting circuitos.csv\n" + "Writing circuitos.csv\n" ] } ], @@ -1311,132 +1096,6 @@ "-58.373438804697628;-34.610990941996334;8716;COLEGIO NACIONAL BUENOS AIRES;BOLIVAR 263;14;372;381;10;BOLIVAR 263" ] }, - { - "cell_type": "code", - "execution_count": 79, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "[{'CIRCUITO': '1',\n", - " 'CODIGO DE ESTABLECIMIENTO': '4369',\n", - " 'DESDE MESA': '19',\n", - " 'DOMICILIO': 'BOLIVAR 1235',\n", - " 'Dirección Normalizada': 'BOLIVAR 1235',\n", - " 'HASTA MESA': '28',\n", - " 'NOMBRE ESTABLECIMIENTO': 'ESC N°3 BERNARDINO RIVADAVIA',\n", - " 'TOTAL MESAS': '10',\n", - " 'lat': '-34.622409314430783',\n", - " 'long': '-58.372807778869245'},\n", - " {'CIRCUITO': '6',\n", - " 'CODIGO DE ESTABLECIMIENTO': '4593',\n", - " 'DESDE MESA': '115',\n", - " 'DOMICILIO': 'LIBERTAD 1257',\n", - " 'Dirección Normalizada': 'LIBERTAD 1257',\n", - " 'HASTA MESA': '136',\n", - " 'NOMBRE ESTABLECIMIENTO': 'COL. NAC.Nº2 D F SARMIENTO',\n", - " 'TOTAL MESAS': '22',\n", - " 'lat': '-34.593569986274616',\n", - " 'long': '-58.384400577996836'},\n", - " {'CIRCUITO': '9',\n", - " 'CODIGO DE ESTABLECIMIENTO': '4409',\n", - " 'DESDE MESA': '192',\n", - " 'DOMICILIO': 'SAN MARTIN 458',\n", - " 'Dirección Normalizada': 'SAN MARTIN 458',\n", - " 'HASTA MESA': '206',\n", - " 'NOMBRE ESTABLECIMIENTO': 'ESC N°13 GRAL SAN MARTIN',\n", - " 'TOTAL MESAS': '15',\n", - " 'lat': '-34.602665313935738',\n", - " 'long': '-58.373914555842283'},\n", - " {'CIRCUITO': '10',\n", - " 'CODIGO DE ESTABLECIMIENTO': '5330',\n", - " 'DESDE MESA': '225',\n", - " 'DOMICILIO': 'LIBERTAD 581',\n", - " 'Dirección Normalizada': 'LIBERTAD 581',\n", - " 'HASTA MESA': '234',\n", - " 'NOMBRE ESTABLECIMIENTO': 'ESC N°7 PTE ROCA',\n", - " 'TOTAL MESAS': '10',\n", - " 'lat': '-34.601733848426591',\n", - " 'long': '-58.383791453750931'},\n", - " {'CIRCUITO': '10',\n", - " 'CODIGO DE ESTABLECIMIENTO': '9026',\n", - " 'DESDE MESA': '252',\n", - " 'DOMICILIO': 'SARMIENTO 1565',\n", - " 'Dirección Normalizada': 'SARMIENTO 1565',\n", - " 'HASTA MESA': '259',\n", - " 'NOMBRE ESTABLECIMIENTO': 'UMSA UNIV DE MUSEO SOCIAL ARG',\n", - " 'TOTAL MESAS': '8',\n", - " 'lat': '-34.605387432219594',\n", - " 'long': '-58.388829352224974'},\n", - " {'CIRCUITO': '14',\n", - " 'CODIGO DE ESTABLECIMIENTO': '5118',\n", - " 'DESDE MESA': '367',\n", - " 'DOMICILIO': 'BOLIVAR 346',\n", - " 'Dirección Normalizada': 'BOLIVAR 346',\n", - " 'HASTA MESA': '371',\n", - " 'NOMBRE ESTABLECIMIENTO': 'ESC POLITECNICA Nº5 M BELGRANO',\n", - " 'TOTAL MESAS': '5',\n", - " 'lat': '-34.611859568515861',\n", - " 'long': '-58.373317952774258'},\n", - " {'CIRCUITO': '14',\n", - " 'CODIGO DE ESTABLECIMIENTO': '8716',\n", - " 'DESDE MESA': '372',\n", - " 'DOMICILIO': 'BOLIVAR 263',\n", - " 'Dirección Normalizada': 'BOLIVAR 263',\n", - " 'HASTA MESA': '381',\n", - " 'NOMBRE ESTABLECIMIENTO': 'COLEGIO NACIONAL BUENOS AIRES',\n", - " 'TOTAL MESAS': '10',\n", - " 'lat': '-34.610990941996334',\n", - " 'long': '-58.373438804697628'}]" - ] - }, - "execution_count": 79, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import csv\n", - "import codecs\n", - "\n", - "with codecs.open('circuitos.csv', encoding='utf8') as csv_file:\n", - " reader = csv.DictReader(csv_file, delimiter=';')\n", - " \n", - " escuelas = [line for line in reader] #o list(reader)\n", - "escuelas" - ] - }, - { - "cell_type": "code", - "execution_count": 83, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "{'COL. NAC.Nº2 D F SARMIENTO': '22',\n", - " 'COLEGIO NACIONAL BUENOS AIRES': '10',\n", - " 'ESC N°13 GRAL SAN MARTIN': '15',\n", - " 'ESC N°3 BERNARDINO RIVADAVIA': '10',\n", - " 'ESC N°7 PTE ROCA': '10',\n", - " 'ESC POLITECNICA Nº5 M BELGRANO': '5',\n", - " 'UMSA UNIV DE MUSEO SOCIAL ARG': '8'}" - ] - }, - "execution_count": 83, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "{e['NOMBRE ESTABLECIMIENTO']:e['TOTAL MESAS'] for e in escuelas}" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -1448,21 +1107,10 @@ "Ver [documentación](https://docs.python.org/3/library/random.html)" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] - }, { "cell_type": "code", "execution_count": 85, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1485,9 +1133,7 @@ { "cell_type": "code", "execution_count": 99, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1507,9 +1153,7 @@ { "cell_type": "code", "execution_count": 102, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1529,9 +1173,7 @@ { "cell_type": "code", "execution_count": 106, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1552,7 +1194,7 @@ "cell_type": "code", "execution_count": 107, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -1562,9 +1204,7 @@ { "cell_type": "code", "execution_count": 108, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1584,9 +1224,7 @@ { "cell_type": "code", "execution_count": 109, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1614,9 +1252,7 @@ { "cell_type": "code", "execution_count": 110, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1644,7 +1280,7 @@ "cell_type": "code", "execution_count": 114, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -1654,9 +1290,7 @@ { "cell_type": "code", "execution_count": 115, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -1704,9 +1338,7 @@ { "cell_type": "code", "execution_count": 119, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1737,9 +1369,7 @@ { "cell_type": "code", "execution_count": 122, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1769,7 +1399,7 @@ "cell_type": "code", "execution_count": 124, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -1783,9 +1413,7 @@ { "cell_type": "code", "execution_count": 125, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1807,7 +1435,7 @@ "cell_type": "code", "execution_count": 126, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -1819,9 +1447,7 @@ { "cell_type": "code", "execution_count": 128, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -1839,7 +1465,7 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -1856,9 +1482,7 @@ { "cell_type": "code", "execution_count": 135, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1885,9 +1509,7 @@ { "cell_type": "code", "execution_count": 130, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1908,7 +1530,7 @@ "cell_type": "code", "execution_count": 136, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -1918,9 +1540,7 @@ { "cell_type": "code", "execution_count": 138, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1947,9 +1567,7 @@ { "cell_type": "code", "execution_count": 139, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1976,9 +1594,7 @@ { "cell_type": "code", "execution_count": 140, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "ename": "AttributeError", @@ -2007,9 +1623,7 @@ { "cell_type": "code", "execution_count": 141, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2068,9 +1682,7 @@ { "cell_type": "code", "execution_count": 143, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2099,18 +1711,16 @@ }, { "cell_type": "code", - "execution_count": 144, - "metadata": { - "collapsed": false - }, + "execution_count": 13, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "0" + "CompletedProcess(args=['gedit'], returncode=0)" ] }, - "execution_count": 144, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -2118,15 +1728,13 @@ "source": [ "import subprocess\n", "\n", - "subprocess.call(['gedit'])" + "subprocess.run(['gedit'])" ] }, { "cell_type": "code", - "execution_count": 145, - "metadata": { - "collapsed": false - }, + "execution_count": 16, + "metadata": {}, "outputs": [ { "data": { @@ -2134,13 +1742,13 @@ "b'hola python, soy echo\\n'" ] }, - "execution_count": 145, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "texto_prograa = subprocess.check_output(['echo', 'hola python, soy echo']) # se ejecuta en el \"kernel\" (ver consola)" + "subprocess.check_output(['echo', 'hola python, soy echo']) # se ejecuta en el \"kernel\" (ver consola)" ] }, { @@ -2180,7 +1788,7 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -2191,7 +1799,7 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false, + "collapsed": true, "scrolled": true }, "outputs": [], @@ -2215,7 +1823,7 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -2227,7 +1835,7 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -2245,7 +1853,7 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -2278,7 +1886,7 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -2296,7 +1904,7 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -2307,7 +1915,7 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -2325,7 +1933,7 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], "source": [ @@ -2347,9 +1955,7 @@ { "cell_type": "code", "execution_count": 146, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2370,9 +1976,7 @@ { "cell_type": "code", "execution_count": 147, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2396,9 +2000,7 @@ { "cell_type": "code", "execution_count": 148, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2426,9 +2028,7 @@ { "cell_type": "code", "execution_count": 149, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2452,9 +2052,7 @@ { "cell_type": "code", "execution_count": 151, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2475,9 +2073,7 @@ { "cell_type": "code", "execution_count": 150, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2506,9 +2102,7 @@ { "cell_type": "code", "execution_count": 152, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2529,9 +2123,7 @@ { "cell_type": "code", "execution_count": 157, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2552,9 +2144,7 @@ { "cell_type": "code", "execution_count": 161, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2571,9 +2161,7 @@ { "cell_type": "code", "execution_count": 154, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2606,9 +2194,7 @@ { "cell_type": "code", "execution_count": 162, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2640,9 +2226,7 @@ { "cell_type": "code", "execution_count": 163, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2660,9 +2244,7 @@ { "cell_type": "code", "execution_count": 164, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2688,9 +2270,7 @@ { "cell_type": "code", "execution_count": 166, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2703,28 +2283,6 @@ "source": [ "!python3 prog.py 10 2 45 106 --sum" ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "Tarea: Estudiar la biblioteca estándar de Python ! \n", - "\n", - "--------------\n", - "\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [] } ], "metadata": { @@ -2743,9 +2301,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.4.0" + "version": "3.6.1" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/Clase 4.ipynb b/Clase 4.ipynb index 68ce307..45ccae0 100644 --- a/Clase 4.ipynb +++ b/Clase 4.ipynb @@ -13,13 +13,6 @@ "source": [ "Ing. Martín Gaitán\n", "\n", - "Twitter: `@tin_nqn_`\n", - "\n", - "** Registrá tu asistencia a esta clase **\n", - "### http://goo.gl/forms/olbkNwX700\n", - "\n", - "**Links útiles**\n", - "\n", "Repositorio del curso:\n", "\n", "### http://bit.ly/cursopy\n", @@ -54,10 +47,8 @@ }, { "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": false - }, + "execution_count": 1, + "metadata": {}, "outputs": [], "source": [ "%matplotlib inline " @@ -65,10 +56,8 @@ }, { "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": false - }, + "execution_count": 2, + "metadata": {}, "outputs": [], "source": [ "from matplotlib import pyplot # generalmente importado \"as plt\"" @@ -76,10 +65,8 @@ }, { "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": false - }, + "execution_count": 3, + "metadata": {}, "outputs": [ { "data": { @@ -187,7 +174,7 @@ " 5.0]" ] }, - "execution_count": 4, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -199,10 +186,8 @@ }, { "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": false - }, + "execution_count": 4, + "metadata": {}, "outputs": [ { "data": { @@ -310,7 +295,7 @@ " 25.0]" ] }, - "execution_count": 5, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -322,35 +307,24 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": false - }, + "execution_count": 5, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 6, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW4AAAEACAYAAACTXJylAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD8CAYAAABn919SAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xl4VNX9x/H3N/sKSUgggWzsMQgKhB2tioqCuCAuqKgV\nRatttXb5aWtbu9harfZnrVpQRBQFUbHuKCLKLgnInrBlIWHJQiCB7Jk5vz8S+6OWJSQzc2fufF/P\nk4fJZOL9DD7PhzP3nnuOGGNQSinl+wKsDqCUUso1tNCVUsomtNCVUsomtNCVUsomtNCVUsomtNCV\nUsomtNCVUsomtNCVUsomtNCVUsomgjx5sPj4eJOenu7JQyqllM9bv359hTEm4XSv82ihp6enk5OT\n48lDKqWUzxORora8Tk+5KKWUTWihK6WUTWihK6WUTWihK6WUTWihK6WUTZy20EUkRUSWich2Edkm\nIve3Pv+oiOwTkY2tXxPcH1cppdTJtGXaYjPwU2PMBhGJBtaLyJLWn/3NGPNX98VTSinVVqcdoRtj\nDhhjNrQ+PgrkAj3cHex4K3aV8/yXuz15SKWUconaxmZ+98E2ig7VuP1YZ3QOXUTSgcHA161P/VBE\nNovIyyISe5LfmSEiOSKSU15e3q6QK3dV8PRnOyk/2tCu31dKKat8tPkAc1YVUlrt/v5qc6GLSBTw\nDvCAMaYaeAHoDZwLHACeOtHvGWNmGWOyjDFZCQmnvXP1hK4flkKz07BoQ0m7fl8ppayyMKeYXvGR\nDEs/4ZjXpdpU6CISTEuZv26MWQRgjCk1xjiMMU7gRWC4u0L2TohiWHosb2YXY4xx12GUUsqldpcd\nI7vwMNcPS0FE3H68tsxyEWA2kGuMefq455OOe9k1wFbXx/t/NwxLJb+ihuzCw+48jFJKuczCnGKC\nAoTJQzxz2bEtI/QxwDTgou9MUXxCRLaIyGbgQuAn7gw6YWAi0aFBvJld7M7DKKWUSzQ2O1m0oYRx\nZ3Wla3SYR4552mmLxpiVwIk+K3zs+jgnFxESxKRzu7NoQwm/vTKTTmHBnjy8UkqdkS/ySqk41sgN\nw1I8dkyfulP0xmEp1Dc5eX/jfqujKKXUKS3ILiaxUxjn923fZJD28KlCH9ijMxmJ0XraRSnl1Q5U\n1bF8ZzlThiYTFOi5mvWpQhcRbhyWwpZ9VWzdV2V1HKWUOqGF2SU4DVyf5bnTLeBjhQ5wzeBkQoMC\nWJC91+ooSin1XxxOw5vZezmvbzypXSI8emyfK/TOEcFMHJjEe9/sp7ax2eo4Sin1H5bvKmd/VT03\nDkv1+LF9rtABpo5I5WhDMx9uPmB1FKWU+g/zv95Ll8gQLsns5vFj+2ShZ6XF0qdrFPPX6WkXpZT3\nKKuuZ2leGVOykgkJ8ny9+mShf3tx9Ju9R8g7WG11HKWUAuCt9SU4nMaS0y3go4UOMHlIMiGBASxY\np1MYlVLWczoNC7L3MqpXF3rGR1qSwWcLPS4yhMvOTmTRhhLqGh1Wx1FK+blVeyoorqxj6ghrRufg\nw4UOMHV4KtX1zXy0RS+OKqWs9cbXe4mLDGH8AM9fDP2WTxf6yF5x9EqI5PWvi6yOopTyY6XV9Xy2\nvZTrhiYTGhRoWQ6fLnQR4eYRaXyz9wjb9+vFUaWUNRZmF+NwGqYOt+50C/h4oQNcO6QHoUEBvLFO\nR+lKKc9zOA3z17XcGZpu0cXQb/l8ocdEhDBxUBL/+mY/NQ1656hSyrO+2lnG/qp6brJ4dA42KHSA\nm0ekcayhmfc36bK6SinPen3tXhKiQ7nYgjtDv8sWhT4kNYaMxGjmrS3SPUeVUh6z70gdy3aUceOw\nFII9uEzuyVifwAVEhJtHprFtfzWbSnRZXaWUZ8z/umX5EU/uSnQqtih0gGsG9yAyJJDX1ujFUaWU\n+zU2O1mQvZeLMrqRHOvZZXJPxjaFHhUaxOQhyXyweT+HaxqtjqOUsrnF2w5ScayRW0ZafzH0W7Yp\ndIBbRqbR2OzkrfW6votSyr3mrSkiNS7Co3uGno6tCr1/YjTDe8Yxb+1enE69OKqUco+8g9WsK6zk\nlpGpBASI1XH+zVaFDjBtZBp7K2tZvqvc6ihKKZuat7aIkKAArhvqHRdDv2W7Qh8/IJH4qFDmrdWL\no0op1zta38S7G/YxaVB3YiNDrI7zH2xX6CFBAUwdnsLSvDKKK2utjqOUspl3v9lHTaPDqy6Gfst2\nhQ4ty+oGiDBPV2FUSrmQMYZX1xQxKLkz56bEWB3nv9iy0LvHhHNpZjfezC6mvkk3v1BKucbqPYfY\nXXaMW0elI+I9F0O/ZctCB7h1VDpHapt0fRellMvMXV1IXGQIVwxKsjrKCdm20Ef2iqNftyjmri7U\n9V2UUh1WcriWz3NLuXFYCmHB1m1icSq2LXQR4dZR6WzbX82GvUesjqOU8nGvt67bcvPINIuTnNxp\nC11EUkRkmYhsF5FtInJ/6/NxIrJERHa1/hnr/rhn5prBPYgOC2Lu6kKroyilfFh9k4MF6/ZySWY3\nesSEWx3npNoyQm8GfmqMyQRGAveJSCbwELDUGNMXWNr6vVeJDA3iuqEpfLzlAGXV9VbHUUr5qA82\n7edwbRO3jU63OsopnbbQjTEHjDEbWh8fBXKBHsBVwNzWl80FrnZXyI64dVQaDmOY1/pxSSmlzoQx\nhjmrCunXLYpRvbpYHeeUzugcuoikA4OBr4FuxpgDrT86CFi/XccJpMdHcmH/rrzxdRENzTqFUSl1\nZtYVVLL9QDW3j+7plVMVj9fmQheRKOAd4AFjTPXxPzMt00hOOJVERGaISI6I5JSXW7O+yvfHpFNx\nrJEPNx04/YuVUuo4r6wuJCYimGsG97A6ymm1qdBFJJiWMn/dGLOo9elSEUlq/XkSUHai3zXGzDLG\nZBljshISrFlmcmyfePp2jWLO6gKdwqiUarOSw7V8uu0gNw5LJTzEO6cqHq8ts1wEmA3kGmOePu5H\n7wO3tT6+DXjP9fFcQ0S4fUw6W/dVk1N02Oo4Sikf8dqaIkSEaaO8d6ri8doyQh8DTAMuEpGNrV8T\ngMeBS0RkF3Bx6/de65rBPegUFsScVQVWR1FK+YDaxmbmr9vL+AHePVXxeEGne4ExZiVwsisB41wb\nx30iQoKYOjyVl1YWsO9Inc/8D1JKWWPRhn1U1zfz/TE9rY7SZra9U/REbm2dQ6o3GimlTsXpNLy8\nqoCBPTqTleZ190yelF8Veo+YcC47O5H56/ZS09BsdRyllJf6amc5+eU1TB/r/VMVj+dXhQ5w59ie\nHK1v5q0c3UhaKXVis1cWkNgpjAkDvXNVxZPxu0IfnBrLkNQY5qwuxKEbSSulviPvYDUrd1dw6+g0\nQoJ8qyJ9K62LTB/bi6JDLUthKqXU8WavKCA8OJCbhnvfFnOn45eF/u00pNkrdQqjUur/lR9t4L2N\n+5kyNJmYCO/aALot/LLQgwID+P6YdNYVVLKlpMrqOEopLzFvbRGNDiffH5NudZR28ctCB7hhWArR\noUG8uCLf6ihKKS9Q1+jgtbVFXHxWV3olRFkdp138ttCjw4KZOiKVj7YcoORwrdVxlFIWe2dDCZU1\njcw4v7fVUdrNbwsd4PbR6QgwZ1Wh1VGUUhZyOA2zVxZwTkoMw9J950ai7/LrQu8eE86kc7qzYN1e\nquqarI6jlLLI57mlFFTUMOO8Xj51I9F3+XWhA9x5Xk9qGh3MX6c7Ginlr15cnk9KXDjjB3jlPj1t\n5veFPqB7Z8b2iWfOqgIam51Wx1FKedj6osPkFB1m+pieBAX6diX6dnoXuev8XpRWN/Dexn1WR1FK\nediLy/PpFBbEdVkpVkfpMC104Py+8WQkRjNreT5OXQ5AKb+xp/wYn24/yK2j0okMPe1q4l5PC52W\nHY3u+V5vdpUd44u8E+6kp5SyoReX5xMSGMDtPnoj0XdpobeaOCiJHjHhzFy+x+ooSikPKKuuZ9GG\nfVyXlUx8VKjVcVxCC71VcGAAd57Xk+zCw6wvqrQ6jlLKzV5eVUiz08ld5/WyOorLaKEf54ZhKcRG\nBPPPr3Q5AKXs7Gh9E6+vLeLygUmkdYm0Oo7LaKEfJyIkiFtHpbNkeym7y45aHUcp5SZvfL2Xow3N\n3OPDt/mfiBb6d9w2Op3w4EBe+FJH6UrZUX2Tg5dWFjC2TzwDkztbHceltNC/Iy4yhKnDU/nXxn0U\nV+qiXUrZzdvrSyg/2sC9F9prdA5a6Cd01/k9CRB0aV2lbKbZ4WTm8j0MTo1hVK8uVsdxOS30E0jq\nHM7kwcm8mV1M+dEGq+MopVzkw80HKK6s494L+vj0Ilwno4V+Evdc0Jsmh5OXV+k2dUrZgdNpeP7L\n3fTvFs24jK5Wx3ELLfST6BkfyYSBSby2pkiX1lXKBj7PLWVn6THuvbA3AQH2G52DFvop3XtBH441\nNPPq6kKroyilOsAYw3PLdpMaF8HEgUlWx3EbLfRTyOzeiXEZXZm9qoBjDc1Wx1FKtdPyXRVsKqni\nBxf09vklck/Fvu/MRX40ri9HalvuKlNK+R5jDM8u3UX3zmFcOyTZ6jhupYV+GuemxHBe33heXJFP\nXaPD6jhKqTO0Nr+SnKLD3HNBb0KC7F159n53LvKji/pScaxRt6lTygc9+8UuEqJDud4GG1iczmkL\nXUReFpEyEdl63HOPisg+EdnY+jXBvTGtNbxnHCN6xjFz+R7qm3SUrpSvWF9Uyeo9h7j7/F6EBQda\nHcft2jJCfwW47ATP/80Yc27r18eujeV9fjyuL6XVDby1vsTqKEqpNvr70t3ERYZw04hUq6N4xGkL\n3RizHPD7BcJH9+5CVlosLyzbTUOzjtKV8nbf7D3MVzvLueu8XkSE+P72cm3RkXPoPxSRza2nZGJP\n9iIRmSEiOSKSU15e3oHDWUtEeODifuyvquetHB2lK+Xtnlm6i9iIYG4dlWZ1FI9pb6G/APQGzgUO\nAE+d7IXGmFnGmCxjTFZCQkI7D+cdxvRpGaU/r6N0pbzaN3sP8+WOcmac39sWmz+3VbsK3RhTaoxx\nGGOcwIvAcNfG8k46SlfKN/jj6BzaWegicvy9s9cAW0/2WrvRUbpS3s1fR+fQtmmL84E1QH8RKRGR\n6cATIrJFRDYDFwI/cXNOr3H8KH2hjtKV8jr/+7l/js4BTvvPlzFm6gmenu2GLD5jTJ8uDEuP5R9f\n7OK6ocl+Mb9VKV+wvqiSr3aW89DlGX43Oge9U7RdRIQHL+lPaXUDr3+td48q5S2e+mwn8VGh3DYq\n3eooltBCb6dRvbswuncXXvhyN7WNuhKjUlZbvaeC1XsOce8FvQkP8c9PzVroHfDTS/tRcayRuat1\nJUalrGSM4enPdpLYKcxv7go9ES30DhiaFscF/ROYuXwPR+t1VyOlrPLVznJyig7zw4v6+PU1LS30\nDnrwkn4cqW1i9krde1QpKxhjeHrJTpJjw/1iRcVT0ULvoEHJMYwf0I2XVhRQWdNodRyl/M7irQfZ\nXFLF/eP62n6989Px73fvIj+7tD+1jc08v2y31VGU8ivNDid//WwHfbpGMdnmuxG1hRa6C/TtFs01\ng5N5dW0R+4/UWR1HKb+x6Jt97Cmv4WeX9iMwQKyOYzktdBd54OK+LXsXfrHL6ihK+YWGZgfPfL6L\nc5I7M35AotVxvIIWuoukxEVw84g0FuaUkF9+zOo4Stne62v3su9IHT8fn4GIjs5BC92l7ruwD6FB\nATz12U6royhla0frm3hu2W5G9+7C2L7xVsfxGlroLpQQHcqd5/Xioy0H2Fh8xOo4StnWrOX5HKpp\n5H8uy7A6ilfRQnexGef3oktkCH/+OBdjjNVxlLKdsup6XlpRwMRBSZyTEmN1HK+ihe5iUaFB/Hhc\nX74uqOTLHb675Z5S3up/l+6iyeHk55f2tzqK19FCd4Opw1NJ6xLB45/k4XDqKF0pV9lTfow3s4u5\neUQq6fGRVsfxOlrobhASFMDPx/dnR+lRFm3QTTCUcpUnFucRFhTAj8b1tTqKV9JCd5OJA5M4J7kz\nT322k7pG3apOqY5aV1DJp9tKuft7vYmPCrU6jlfSQncTEeGRKzI5WF3PiyvyrY6jlE9zOg2PfbSd\nxE5h3HVeL6vjeC0tdDcalh7HZQMS+edXeyg7Wm91HKV81geb97OppIqfje/vt5tXtIUWups9dHkG\njc1O/rZEbzZSqj3qmxw8sXgHmUmdmDy4h9VxvJoWupulx0cybVQab2YXs+PgUavjKOVz5qwqZN+R\nOh6ZeBYBugDXKWmhe8D94/oSFRrEHz/arjcbKXUGKo418Pyy3YzL6MroPnqL/+looXtATEQID1zc\njxW7Kvgir8zqOEr5jKc+20Fdk4NfTjzL6ig+QQvdQ6aNSqN3QiR//CiXxman1XGU8nrb9lexILuY\n20an0zshyuo4PkEL3UOCAwN45IpMCipqmLu60Oo4Snk1Ywy/+2A7sREh/FhvImozLXQPurB/Vy7o\nn8Dfl+6i4liD1XGU8lqfbD3IuoJKHrykH53Dg62O4zO00D3skYmZ1DU5eOqzHVZHUcor1Tc5+NPH\nuWQkRnPjsBSr4/gULXQP69M1ittGp7Mgu5gtJVVWx1HK68z8Kp+Sw3X8ZlImQYFaUWdC/7YscP/F\nfekSGcpv3t+KU1djVOrfiitref7L3UwclMTo3jpN8UxpoVugU1gwD12ewTd7j/COrsao1L899lEu\nASL8aoJOU2yP0xa6iLwsImUisvW45+JEZImI7Gr9M9a9Me1n8uAeDEmN4S+L86iub7I6jlKWW7Gr\nnMXbDvLDi/rQPSbc6jg+qS0j9FeAy77z3EPAUmNMX2Bp6/fqDAQECL+/6mwO1TTqOi/K7zU2O3n0\n/W2kd4ngzvN6Wh3HZ5220I0xy4HK7zx9FTC39fFc4GoX5/ILZ/fozE3DU5m7upBt+/UCqfJfL63M\nZ095Db+dNIDQIF1Nsb3aew69mzHmQOvjg0A3F+XxO78Yn0FsRAi//pdeIFX+qbiylr8v3cX4Ad24\nMKOr1XF8WocvipqW1aZO2kQiMkNEckQkp7xcN03+rs4Rwfxywlls2HuEhTnFVsdRyuN+98F2AkT4\n7aQBVkfxee0t9FIRSQJo/fOkK04ZY2YZY7KMMVkJCQntPJy9TR7Sg+HpcTy+OI/Kmkar4yjlMUu2\nl/J5bin3j+urF0JdoL2F/j5wW+vj24D3XBPHP4kIf7j6bI7VN/P4J7lWx1HKI2obm3n0/W306xbF\nHWP1QqgrtGXa4nxgDdBfREpEZDrwOHCJiOwCLm79XnVA/8Ropp/Xk4U5JazNP2R1HKXc7m9LdrLv\nSB1/vHogwXpHqEu0ZZbLVGNMkjEm2BiTbIyZbYw5ZIwZZ4zpa4y52Bjz3Vkwqh0eGNePlLhwfvnu\nFuqbHFbHUcpttu6rYvbKAqYOT2V4zzir49iG/rPoRcJDAnns6oHkl9fw/Jd7rI6jlFs0O5w8vGgL\ncZGhPHRZhtVxbEUL3cuc3y+Bq8/tzgtf7mZXqe5BquznldWFbNlXxaNXZtI5QpfGdSUtdC/0yBWZ\nRIYG8fCiLTo3XdlKcWUtTy/ZyUUZXZk4MMnqOLajhe6F4qNCeWRiJjlFh3ltbZHVcZRyCWMMv3x3\nCwL8/qoBiIjVkWxHC91LXTukB9/rl8BfFudRXFlrdRylOuyt9SWs2FXBQ5dnkBwbYXUcW9JC91Ii\nwp8mD0SAhxdtoeWGXKV8U1l1PX/8cDvD0+O4eUSa1XFsSwvdi/WICeehyzNYubuCt3J03XTlm4wx\nPPKvrTQ0O3n82oEEBOipFnfRQvdyN49IY3jPOP7w0XYOVNVZHUepM/b+pv18tr2Un1zSj14JUVbH\nsTUtdC8XECA8OWUQzQ7D/7yjp16Ubymrruc3723j3JQY7tTb+91OC90HpHWJ5OEJGSzfWc6CbF2R\nUfkGYwwPL2q56/mp68/RDZ89QP+GfcQtI9IY3bsLf/xwu856UT7h7fUlLM0r4+fj+9NbT7V4hBa6\njwgIEJ6YMggR4Rdvb9YbjpRX23+kjt9/0DKr5Y4xeqrFU7TQfUhybAS/vuIs1uQf4uVVBVbHUeqE\nnE7DTxduwmEMT143SGe1eJAWuo+5PiuFSzO78cTiHeQdrLY6jlL/ZfbKAtbkH+K3kzJJ6xJpdRy/\nooXuY0SEP08eSKfwYB5YsJGGZl1mV3mP3APVPPnpDi7N7Mb1WSlWx/E7Wug+qEtUKE9MGUjewaM8\n9dlOq+MoBUB9k4OfvLmRTuHB/HnyQF2rxQJa6D7qooxu3DIylVnL81mxSzffVtb7y+I88g4e5Ykp\nA+kSFWp1HL+khe7DfjUhk75do3hw4SYqjjVYHUf5saW5pcxZVcjto9O5KKOb1XH8lha6DwsPCeTZ\nmwZTVdfEz97apFMZlSVKq+v5+dubyUzqxMMTdAciK2mh+7iMxE78euJZfLmjnDmrC62Oo/yMw2n4\nyZsbqWt08PepgwkNCrQ6kl/TQreBW0amcWlmNx7/JJdNxUesjqP8yPPLdrN6zyEevTKTPl31blCr\naaHbgEjLXaRdo8O4740NVNU2WR1J+YHVeyr42+c7ufrc7jpF0UtoodtETEQI/7hpMKXV9fzs7U26\nKqNyq7Kj9dy/YCM94yN57BqdougttNBtZHBqLA9dfhZLtpcye6UuDaDcw+E03D9/I0frm3j+5qFE\nhgZZHUm10kK3mTvGpDN+QDce/ySP7MJKq+MoG3p6yQ7W5B/i91edTf/EaKvjqONoodtMy/n0c0iO\nDefe1zdQVl1vdSRlI59tO8hzy/ZwQ1aKnjf3QlroNtQ5PJiZ07I4Vt/Mva9voLHZaXUkZQP55cf4\n6cJNDEruzO+uGmB1HHUCWug21T8xmiemDCKn6DB/+jjX6jjKx9U0NHP3a+sJDgrghVuGEhas8829\nkV7NsLFJ53RnY/ERZq8sILN7J/2IrNrF6TQ8uHAje8qP8dr0EfSICbc6kjoJHaHb3MOXZzC2TzyP\nvLuV9UV6kVSduWeW7uLTbaX8csJZjOkTb3UcdQpa6DYXFBjAP24aTFJMGHe/toH9R+qsjqR8yCdb\nDvDM0l1cOySZ6WN1Kzlv16FCF5FCEdkiIhtFJMdVoZRrxUSE8OKtWdQ3OZjxWg61jc1WR1I+YNv+\nKh5cuInBqTE8ds3ZevOQD3DFCP1CY8y5xpgsF/y3lJv06xbNMzeey7b91fzkzY26MqM6pYNV9Ux/\nJadlxpReBPUZesrFj4w7qxuPTMzk022l/GVxntVxlJeqaWhm+txsjtY38fLtw+jaKczqSKqNOlro\nBvhMRNaLyIwTvUBEZohIjojklJfrzjpWu2NMOtNGpjFzeT7z1+21Oo7yMg6n4f4FG8k9UM0/bhpC\nZvdOVkdSZ6CjhT7WGDMEuBy4T0TO/+4LjDGzjDFZxpishISEDh5OdZSI8NtJmVzQP4FH/rWVZTvK\nrI6kvIQxhj98uJ3Pc0v57aQBXJjR1epI6gx1qNCNMfta/ywD3gWGuyKUcq+WmS9DyEiM5t55G3QN\ndQXAP7/K55XVhUwf25PbRqdbHUe1Q7sLXUQiRST628fApcBWVwVT7hUVGsSc7w+jS1QId7ySTUFF\njdWRlIUWbSjhL4vzmHROd3414Syr46h26sgIvRuwUkQ2AeuAj4wxi10TS3lC1+gwXr1jOE5juO3l\ndbqQl5/6amc5v3h7M6N6deGv1w0iIECnJ/qqdhe6MSbfGHNO69cAY8xjrgymPKNXQhQv3z6MimMN\nTJu9jiO1jVZHUh6UXVjJ3a/l0K9bNDNvHap7gvo4nbaoGJway6xpWRRU1HD7nGyONeiNR/5g674q\n7piTTffO4bw6fTidwoKtjqQ6SAtdATC2bzzP3jSYLfuqmPFqDvVNDqsjKTfaXXaM215eR6fwYObd\nOYL4qFCrIykX0EJX/zZ+QCJPThnEmvxD3P3aehqatdTtqKCihpteXIuIMO/OEXTX1RNtQwtd/YfJ\nQ5L58zUD+WpnOT+Yt0FL3WYKK2qYOmstDqfhjbtG0DM+0upIyoW00NV/uXF4Ko9dczZf5JVxn+54\nZBt7D9Uy9cW1NDqcvH7XCPp10/1A7UYLXZ3QzSPS+MNVA/g8t4x75q3Xc+o+Lr/8GNfPXENdk4N5\n00eQkai39NuRFro6qWmj0nnsmrNZtqOM6XOzddldH7Xj4FGun7mWZqeT+XeN1PVZbEwLXZ3SzSPS\n+OuUc1iz5xC3zl5HdX2T1ZHUGdhSUsUNs9YQGAALZozirCQtczvTQlende3QZJ6dOoSNxUe4YeZa\nyo7qHaW+YNXuCm6ctYbIkCAW3j2KPl2jrI6k3EwLXbXJxEFJvHRbFoUVNUx5YQ2FuvaLV/tw836+\nPyeb5NgI3vnBaNK66GwWf6CFrtrsgv5deeOuERytb2LKP1ezuURXafRGr6wq4Efzv2FQcmcW3j2K\nxM66QYW/0EJXZ2Rwaixv/2A0oUGBXD9zDZ9uO2h1JNXK4TT87oNtPPrBdsZldOO16SPoHKG38/sT\nLXR1xnonRPGv+8bQP7ET98xbz0sr8jFG9yi1Uk1DM3e/lsOcVYXcMaYnM6cNJTxEF9ryN1roql0S\nokNZcNdILhuQyB8/yuWhd7boXaUWKa6s5bp/ruGLvDL+cNUAfjMpk0BdAtcvaaGrdgsPCeS5m4bw\nwwv78GZOMTfOWkuprqnuUat3V3DlP1ZScriWl28fxrRR6VZHUhbSQlcdEhAg/Gx8f56/eQg7Dh5l\n0rMrWV9UaXUs2zPG8NKKfKa9vI74qFDe++FYLuive4D6Oy105RITBiax6N7RhAUHcsPMtcxavkfP\nq7tJVV0T98xbzx8/ymVcRlfevW+MLrKlAC105UIZiZ348MdjuSSzG3/6OI+7Xs3hcI3ugORKm0uO\ncMWzK1iaW8YjE89i5rShRIUGWR1LeQktdOVSncKCef7mITw6KZOvdpZz2TPLWbGr3OpYPs/hNDy3\nbDeTn1+Nw2FYeM8o7jyvFyJ68VP9Py105XIiwu1jevLuvWOIDgtm2ux1/O6DbbpiYzsVV9Zyw8w1\nPPnpDsY+dLc/AAAHtUlEQVSfncjH95/HkNRYq2MpL6Sf1ZTbnN2jMx/+aCyPf5LHnFWFfLWjnL9M\nGcSw9Diro/kEp9Pw6ppCnvh0B4Ei/O2Gc7j63B46KlcnpSN05VZhwYE8euUAXps+nEaHk+v+uYbf\nvLdVN6I+jd1lLeuXP/rBdrLS41j8k/O5ZnCylrk6JfHkTISsrCyTk5PjseMp71LT0MyTn+5g7ppC\nukaH8quJmUwalKQldZzaxmae/WI3L63IJyIkiN9ckcnkIToq93cist4Yk3Xa12mhK0/7Zu9hfv3e\nVrbuq2ZUry789spMv99BxxjDR1sO8NhHuRyoqufaIck8dHkGCdGhVkdTXkALXXk1h9Mwf91envx0\nB9X1TUwZksyDl/YjqbP/7UC/rqCSP32cy8biI2QmdeL3Vw0gS68zqONooSufcKS2keeW7Wbu6iJE\n4LbR6cw4vxfxUfYfmW4pqeKZpTv5PLeMxE5hPHhJP64dmqzrsKj/ooWufEpxZS1PL9nJexv3ERIU\nwC0j0phxfi+6drLfWt4bi4/w96W7+CKvjE5hQdz9vd7cMaanro6oTkoLXfmkPeXHeG7Zbt7buJ8A\ngUnndGf62J4M6N7Z6mgd4nAalmw/yOyVBWQXHiYmIpi7zuvFraPSiA7TNcvVqWmhK59WdKiGOasK\nWZhTTG2jg+HpcdwwLIUJA5N8aiR7oKqOt3NKeDOnmJLDdaTEhXP76J7cMCxFb9lXbaaFrmyhqq6J\nN7P3Mn9dMQUVNUSHBnHFOUlcMag7I3rGERTofbdSVNc38fn2Ut7ftJ/lO8txGhjduwu3jkrjksxE\nPUeuzphHCl1ELgOeAQKBl4wxj5/q9Vroqr2MMawrqOTN7GIWbztIbaOD+KgQLslM5ML+CYzpE0+k\nhSPeA1V1fLmjnKW5ZSzfVU5js5PuncOYPCSZ67NSSO0SYVk25fvcXugiEgjsBC4BSoBsYKoxZvvJ\nfkcLXblCfZODZXllfLj5AF/uKKOm0UFwoDAkNZbhPePISo9jcGoMndx0btoYw/6qenIKK8kpPMzX\nBYfYWXoMgO6dw7js7CQmDkpicEoMAToaVy7Q1kLvyJBmOLDbGJPfesAFwFXASQtdKVcICw7k8oFJ\nXD4wicZmJzlFlXy1o5w1+Yd4/ss9OJy7AUiODScjsRP9E6NIjYsgJTaCHrHhxEWGEBUadMq7Lx1O\nQ1VdExXHGiiurKW4spbCQ7XkHawm7+BRjtQ2ARAZEsiQtFimDE3mgv5d6ds1Su/qVJbpSKH3AIqP\n+74EGNGxOEqdmZCgAEb3jmd073igZXmBjcVH2Fh8hLyDR8k9UM2yHWU4nP/5STQ4UOgcHkxIYAAh\nQQEEBAjNDkNjs5P6ZgdVdU1898NrREgg/bpFc/nZSZyVFM2Q1FgyEqO98jy+8k9uP+koIjOAGQCp\nqanuPpzyc5GhQYzpE8+YPvH/fq7Z4eRAVT3FlbXsr6rncE0jh2sbqaprorHZSaPDSbPTtJR7YACh\nwQHERoQQGxFMXFQoybHhpMZF0CUyREffyqt1pND3ASnHfZ/c+tx/MMbMAmZByzn0DhxPqXYJCgwg\nJS6ClDi9MKnsrSOfFbOBviLSU0RCgBuB910TSyml1Jlq9wjdGNMsIj8EPqVl2uLLxphtLkumlFLq\njHToHLox5mPgYxdlUUop1QF6eV4ppWxCC10ppWxCC10ppWxCC10ppWxCC10ppWzCo8vnikg5UOSx\nA7pOPFBhdQgP8rf3C/qe/YWvvuc0Y0zC6V7k0UL3VSKS05aVzuzC394v6Hv2F3Z/z3rKRSmlbEIL\nXSmlbEILvW1mWR3Aw/zt/YK+Z39h6/es59CVUsomdISulFI2oYV+BkTkpyJiRCT+9K/2bSLypIjk\nichmEXlXRGKszuQuInKZiOwQkd0i8pDVedxNRFJEZJmIbBeRbSJyv9WZPEFEAkXkGxH50Oos7qKF\n3kYikgJcCuy1OouHLAHONsYMomUz8IctzuMWrZudPwdcDmQCU0Uk09pUbtcM/NQYkwmMBO7zg/cM\ncD+Qa3UId9JCb7u/Ab8A/OKigzHmM2NMc+u3a2nZkcqO/r3ZuTGmEfh2s3PbMsYcMMZsaH18lJaS\n62FtKvcSkWRgIvCS1VncSQu9DUTkKmCfMWaT1VkscgfwidUh3OREm53butyOJyLpwGDga2uTuN3/\n0jIgc1odxJ3cvkm0rxCRz4HEE/zoV8AvaTndYiunes/GmPdaX/MrWj6iv+7JbMr9RCQKeAd4wBhT\nbXUedxGRK4AyY8x6EbnA6jzupIXeyhhz8YmeF5GBQE9gU+uO78nABhEZbow56MGILney9/wtEbkd\nuAIYZ+w7v7VNm53bjYgE01LmrxtjFlmdx83GAFeKyAQgDOgkIvOMMbdYnMvldB76GRKRQiDLGOOL\nC/y0mYhcBjwNfM8YU251HncRkSBaLvqOo6XIs4Gb7Lw/rrSMTOYClcaYB6zO40mtI/SfGWOusDqL\nO+g5dHUy/wCigSUislFE/ml1IHdovfD77WbnucBCO5d5qzHANOCi1v+3G1tHr8rH6QhdKaVsQkfo\nSillE1roSillE1roSillE1roSillE1roSillE1roSillE1roSillE1roSillE/8HpaI0+Vqxm8UA\nAAAASUVORK5CYII=\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -370,27 +344,14 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "%matplotlib inline" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": false - }, + "execution_count": 8, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXAAAAEKCAYAAAALoA6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAEICAYAAABPgw/pAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -415,10 +376,8 @@ }, { "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": false - }, + "execution_count": 9, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -444,16 +403,14 @@ }, { "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": false - }, + "execution_count": 10, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAADtCAYAAAAcNaZ2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\npNAVEcmRQldEJEf/ArkAFcSlB2OFAAAAAElFTkSuQmCC\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWQAAADuCAYAAAAOR30qAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -475,7 +432,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": { "collapsed": true }, @@ -487,16 +444,14 @@ }, { "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": false - }, + "execution_count": 12, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEACAYAAAC9Gb03AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAD8CAYAAAB5Pm/hAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -525,16 +480,14 @@ }, { "cell_type": "code", - "execution_count": 12, - "metadata": { - "collapsed": false - }, + "execution_count": 13, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAARMAAAENCAYAAAAsdYFTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAQ8AAAEHCAYAAACwfMNTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -573,97 +526,13 @@ "\n", "\n", "\n", - "2. Basado en el [ejemplo de grafico de torta](http://matplotlib.org/examples/pie_and_polar_charts/pie_demo_features.html) de la galería, adaptar el ejemplo que grafica \"near_critical_oil.csv\" para que no se vea \"ovoide\" y la porción correspondiente a \"C2\" quede separada. Agregar un título al gráfico\n" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXAAAAEKCAYAAAALoA6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n8pQKuIhInlIBFxHJU/8fABDcyeICNy4AAAAASUVORK5CYII=\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# %load https://gist.githubusercontent.com/mgaitan/f0ceedbc1890038cf27f/raw/48fe60095644647d8b5b084b60547b4da0751201/plot_parabola.py\n", - "def baskara(a, b=0, c=0):\n", - " \"\"\"dados los coeficientes, encuentra los valores de x tal que ax^2 + bx + c = 0\"\"\"\n", - "\n", - " discriminante = (b**2 - 4*a*c)**0.5\n", - " x1 = (-b + discriminante)/(2*a)\n", - " x2 = (-b - discriminante)/(2*a)\n", - " return (x1, x2)\n", - "\n", - "\n", - "def plot_parabola(a, b=0, c=0):\n", - " X = [.1 * i for i in range(-50, 51)]\n", - " Y = [(a*x**2 + b*x + c) for x in X]\n", - " pyplot.plot(X,Y)\n", - " pyplot.plot(x, [0 for x in X], linestyle='dashed')\n", - " pyplot.title('un titulo')\n", - " x1, x2 = baskara(a, b, c)\n", - " if not isinstance(x1, complex):\n", - " pyplot.scatter([x1, x2], [0, 0], color='red')\n", - " pyplot.annotate(s=round(x1, 2), xy=(x1, 0), xytext=(x1+0.3, .2))\n", - " pyplot.annotate(s=round(x2, 2), xy=(x2, 0), xytext=(x2 + .3, .2))\n", - " \n", - " \n", - "plot_parabola(1.2, b=0.4, c=-1.4)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAAD4CAYAAABPLjVeAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\niH4DJf4cj4WMUhgAAAAASUVORK5CYII=\n", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import csv\n", - "\n", - "with open('data/near_critical_oil.csv') as csv_file:\n", - " reader = csv.reader(csv_file)\n", - " critical_oil = [line for line in reader] #o list(reader)\n", + "2. Basado en el [ejemplo de grafico de torta](http://matplotlib.org/examples/pie_and_polar_charts/pie_demo_features.html) de la galería, adaptar el ejemplo que grafica \"near_critical_oil.csv\" para que no se vea \"ovoide\" y la porción correspondiente a \"C2\" quede separada. Agregar un título al gráfico\n", "\n", - "components = [c for (c, f) in critical_oil[1:]]\n", - "fraction = [float(f) for (c, f) in critical_oil[1:]]\n", - "explode = [0.2 if c == 'c2' else 0 for c in components]\n", - "# el ; evita el output de la celda\n", - "\n", - "pyplot.pie(fraction, explode=explode, labels=components, shadow=True)\n", - "pyplot.axis('equal');" + "" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "metadata": {}, @@ -709,16 +578,14 @@ }, { "cell_type": "code", - "execution_count": 19, - "metadata": { - "collapsed": false - }, + "execution_count": 14, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "1000 loops, best of 3: 1.08 ms per loop\n" + "814 µs ± 12.2 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)\n" ] } ], @@ -728,17 +595,14 @@ }, { "cell_type": "code", - "execution_count": 20, - "metadata": { - "collapsed": false - }, + "execution_count": 15, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "The slowest run took 13.32 times longer than the fastest. This could mean that an intermediate result is being cached \n", - "10000 loops, best of 3: 38.2 µs per loop\n" + "38 µs ± 267 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n" ] } ], @@ -748,25 +612,23 @@ }, { "cell_type": "code", - "execution_count": 21, - "metadata": { - "collapsed": false - }, + "execution_count": 16, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "1 loops, best of 3: 991 ms per loop\n" + "944 ms ± 35.6 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 21, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -780,25 +642,23 @@ }, { "cell_type": "code", - "execution_count": 22, - "metadata": { - "collapsed": false - }, + "execution_count": 17, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "10 loops, best of 3: 156 ms per loop\n" + "141 ms ± 1.14 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 22, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -812,18 +672,16 @@ }, { "cell_type": "code", - "execution_count": 23, - "metadata": { - "collapsed": false - }, + "execution_count": 18, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "6.370105952818687" + "6.499575090405748" ] }, - "execution_count": 23, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -844,16 +702,14 @@ "metadata": {}, "source": [ "- Listas o tuplas\n", - "- Usando funciones dedicadas a generar arreglos numpy, como `arange`, `linspace`,`ones`, `zeros` etc.\n", + "- Usando funciones dedicadas a generar arreglos numpy, como `arange`, `linspace`, `ones`, `zeros` etc.\n", "- Leyendo datos desde archivos" ] }, { "cell_type": "code", "execution_count": 24, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -874,9 +730,7 @@ { "cell_type": "code", "execution_count": 32, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -900,9 +754,7 @@ { "cell_type": "code", "execution_count": 26, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -931,9 +783,7 @@ { "cell_type": "code", "execution_count": 27, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -953,9 +803,7 @@ { "cell_type": "code", "execution_count": 28, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -975,9 +823,7 @@ { "cell_type": "code", "execution_count": 29, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -997,9 +843,7 @@ { "cell_type": "code", "execution_count": 30, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1027,9 +871,7 @@ { "cell_type": "code", "execution_count": 33, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1056,9 +898,7 @@ { "cell_type": "code", "execution_count": 36, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "ename": "TypeError", @@ -1086,9 +926,7 @@ { "cell_type": "code", "execution_count": 38, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1109,9 +947,7 @@ { "cell_type": "code", "execution_count": 42, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1141,9 +977,7 @@ { "cell_type": "code", "execution_count": 43, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1175,9 +1009,7 @@ { "cell_type": "code", "execution_count": 48, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1198,9 +1030,7 @@ { "cell_type": "code", "execution_count": 49, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1222,9 +1052,7 @@ { "cell_type": "code", "execution_count": 50, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1252,9 +1080,7 @@ { "cell_type": "code", "execution_count": 51, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1284,9 +1110,7 @@ { "cell_type": "code", "execution_count": 52, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1316,9 +1140,7 @@ { "cell_type": "code", "execution_count": 53, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1357,9 +1179,7 @@ { "cell_type": "code", "execution_count": 54, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1379,9 +1199,7 @@ { "cell_type": "code", "execution_count": 55, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1405,9 +1223,7 @@ { "cell_type": "code", "execution_count": 56, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1455,10 +1271,8 @@ }, { "cell_type": "code", - "execution_count": 57, - "metadata": { - "collapsed": false - }, + "execution_count": 19, + "metadata": {}, "outputs": [ { "data": { @@ -1466,7 +1280,7 @@ "array([-3. , 0. , 3.4])" ] }, - "execution_count": 57, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -1488,20 +1302,18 @@ }, { "cell_type": "code", - "execution_count": 58, - "metadata": { - "collapsed": false - }, + "execution_count": 20, + "metadata": {}, "outputs": [ { "ename": "TypeError", "evalue": "only length-1 arrays can be converted to Python scalars", "output_type": "error", "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mmath\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mmath\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[1;31mTypeError\u001b[0m: only length-1 arrays can be converted to Python scalars" + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmath\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mmath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m: only length-1 arrays can be converted to Python scalars" ] } ], @@ -1512,10 +1324,8 @@ }, { "cell_type": "code", - "execution_count": 59, - "metadata": { - "collapsed": false - }, + "execution_count": 23, + "metadata": {}, "outputs": [ { "data": { @@ -1523,7 +1333,7 @@ "array([ 0.14112001, -0.91616594, 0.84147098])" ] }, - "execution_count": 59, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -1534,10 +1344,8 @@ }, { "cell_type": "code", - "execution_count": 60, - "metadata": { - "collapsed": false - }, + "execution_count": 24, + "metadata": {}, "outputs": [ { "data": { @@ -1545,7 +1353,7 @@ "0.0" ] }, - "execution_count": 60, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -1583,10 +1391,8 @@ }, { "cell_type": "code", - "execution_count": 61, - "metadata": { - "collapsed": false - }, + "execution_count": 25, + "metadata": {}, "outputs": [ { "data": { @@ -1594,7 +1400,7 @@ "array([ 2., 4., 6.])" ] }, - "execution_count": 61, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -1632,9 +1438,7 @@ { "cell_type": "code", "execution_count": 62, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1660,9 +1464,7 @@ { "cell_type": "code", "execution_count": 63, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1692,9 +1494,7 @@ { "cell_type": "code", "execution_count": 65, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "ename": "ValueError", @@ -1726,9 +1526,7 @@ { "cell_type": "code", "execution_count": 67, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1763,99 +1561,20 @@ "source": [ "### Ejercicio\n", "\n", - "1. Crear una array de 10x10 donde cada fila va del 0 al 9 (tip: implementar via broadcasting y también ver la función `np.tile`)\n", - "2. Dado un vector `[0 20 32 100 123]` que indica las distancias entre los pueblos sobre una ruta, encontrar la \"matriz de distancias\" (que da la distancia absoluta entre cualquier par de pueblos)\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 73, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9.],\n", - " [ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9.],\n", - " [ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9.],\n", - " [ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9.],\n", - " [ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9.],\n", - " [ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9.],\n", - " [ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9.],\n", - " [ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9.],\n", - " [ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9.],\n", - " [ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9.]])" - ] - }, - "execution_count": 73, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "np.ones((10, 10)) * np.arange(10)" - ] - }, - { - "cell_type": "code", - "execution_count": 75, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],\n", - " [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],\n", - " [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],\n", - " [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],\n", - " [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],\n", - " [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],\n", - " [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],\n", - " [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],\n", - " [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],\n", - " [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]])" - ] - }, - "execution_count": 75, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "np.tile(np.arange(10), 10).reshape((10,10))" - ] - }, - { - "cell_type": "code", - "execution_count": 70, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[ 0, 35, 40, 60, 70],\n", - " [35, 0, 5, 25, 35],\n", - " [40, 5, 0, 20, 30],\n", - " [60, 25, 20, 0, 10],\n", - " [70, 35, 30, 10, 0]])" - ] - }, - "execution_count": 70, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ruta = np.array([0, 35, 40, 60, 70])\n", + "- 1) Crear una array de 10x10 donde cada fila va del 0 al 9 (tip: implementar via broadcasting y también ver la función `np.tile`)\n", + "\n", + "\n", + "\n", + "- 2) Dado un vector `[0 20 32 40 123]` que indica las distancias entre ciudades de la ruta 5 (partiendo desde córdoba), encontrar la \"matriz de distancias\" (que da la distancia absoluta entre cualquier par de pueblos)\n", + "\n", + "" ] }, { @@ -1897,9 +1616,7 @@ { "cell_type": "code", "execution_count": 78, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1919,9 +1636,7 @@ { "cell_type": "code", "execution_count": 79, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1941,9 +1656,7 @@ { "cell_type": "code", "execution_count": 80, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1974,9 +1687,7 @@ { "cell_type": "code", "execution_count": 82, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2336,9 +2047,7 @@ { "cell_type": "code", "execution_count": 83, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2361,9 +2070,7 @@ { "cell_type": "code", "execution_count": 84, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2383,9 +2090,7 @@ { "cell_type": "code", "execution_count": 85, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2413,9 +2118,7 @@ { "cell_type": "code", "execution_count": 87, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2432,9 +2135,7 @@ }, { "cell_type": "markdown", - "metadata": { - "collapsed": false - }, + "metadata": {}, "source": [ "%timeit m[1,1] # yeaaaa!!!" ] @@ -2442,9 +2143,7 @@ { "cell_type": "code", "execution_count": 92, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2466,9 +2165,7 @@ { "cell_type": "code", "execution_count": 94, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2488,9 +2185,7 @@ { "cell_type": "code", "execution_count": 91, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2518,9 +2213,7 @@ { "cell_type": "code", "execution_count": 93, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2540,10 +2233,8 @@ }, { "cell_type": "code", - "execution_count": 103, - "metadata": { - "collapsed": false - }, + "execution_count": 29, + "metadata": {}, "outputs": [ { "data": { @@ -2556,7 +2247,7 @@ " [50, 51, 52, 53, 54, 55]])" ] }, - "execution_count": 103, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -2569,9 +2260,7 @@ { "cell_type": "code", "execution_count": 96, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2599,27 +2288,31 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "a[:,2:3]" - ] - }, - { - "cell_type": "markdown", + "execution_count": 30, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 2, 12, 22, 32, 42, 52])" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "Como resumen (corregir ejemplo rojo!)" + "a[:,2]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "![](http://www.tp.umu.se/~nylen/pylect/_images/numpy_indexing.png)" + "### Resúmen\n", + "\n", + "![](files/img/numpy_manipulation.png)" ] }, { @@ -2628,7 +2321,7 @@ "source": [ "### Ejercicios\n", "\n", - "1. Dado el array del gráfico (`np.arange(60).reshape(6, 10)[:,:6]`):\n", + "- 1) Dado el array del gráfico (`np.arange(60).reshape(6, 10)[:,:6]`):\n", " \n", " 1.1 Obtener la segunda columna exceptuando el valor de la primera y la última fila\n", " \n", @@ -2638,143 +2331,28 @@ " \n", " 1.4 Reconfigurar la forma para que cada \"fila\" resultante se convierta en una matriz de 2x3\n", " \n", - "2. Crear la estructura de datos de un [Cubo de Rubik](https://es.wikipedia.org/wiki/Cubo_de_Rubik) en su estado inicial: 6x3x3 donde cada una de las 6 \"caras\" *i* tiene todos sus elementos con valor *i*\n", + "- 2) Crear la estructura de datos de un [Cubo de Rubik](https://es.wikipedia.org/wiki/Cubo_de_Rubik) en su estado inicial: 6x3x3 donde cada una de las 6 \"caras\" *i* tiene todos sus elementos con valor *i*\n", "\n", "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 106, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[[ 0., 0., 0.],\n", - " [ 0., 0., 0.],\n", - " [ 0., 0., 0.]],\n", - "\n", - " [[ 1., 1., 1.],\n", - " [ 1., 1., 1.],\n", - " [ 1., 1., 1.]],\n", - "\n", - " [[ 2., 2., 2.],\n", - " [ 2., 2., 2.],\n", - " [ 2., 2., 2.]],\n", - "\n", - " [[ 3., 3., 3.],\n", - " [ 3., 3., 3.],\n", - " [ 3., 3., 3.]],\n", - "\n", - " [[ 4., 4., 4.],\n", - " [ 4., 4., 4.],\n", - " [ 4., 4., 4.]],\n", - "\n", - " [[ 5., 5., 5.],\n", - " [ 5., 5., 5.],\n", - " [ 5., 5., 5.]]])" - ] - }, - "execution_count": 106, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# %load https://gist.githubusercontent.com/mgaitan/1c90f89c49927d329cb6/raw/6d1f1534e8aa692b64e92c4db193500c5a3a2c16/rubik.py\n", - "np.zeros([6,3,3]) + np.arange(6)[:,np.newaxis, np.newaxis]" - ] - }, - { - "cell_type": "code", - "execution_count": 111, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[[0]],\n", - "\n", - " [[1]],\n", - "\n", - " [[2]],\n", - "\n", - " [[3]],\n", - "\n", - " [[4]],\n", - "\n", - " [[5]]])" - ] - }, - "execution_count": 111, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - " np.arange(6)[:, np.newaxis, np.newaxis]" - ] - }, - { - "cell_type": "code", - "execution_count": 104, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[ 0., 0., 0., 0., 0., 0., 0., 0.],\n", - " [ 0., 0., 1., 2., 3., 4., 5., 0.],\n", - " [ 0., 10., 11., 12., 13., 14., 15., 0.],\n", - " [ 0., 20., 21., 22., 23., 24., 25., 0.],\n", - " [ 0., 30., 31., 32., 33., 34., 35., 0.],\n", - " [ 0., 40., 41., 42., 43., 44., 45., 0.],\n", - " [ 0., 50., 51., 52., 53., 54., 55., 0.],\n", - " [ 0., 0., 0., 0., 0., 0., 0., 0.]])" - ] - }, - "execution_count": 104, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "c = np.zeros((8,8))\n", - "c[1:-1,1:-1] = a\n", - "c" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "a = np.arange(60).reshape(6, 10)[:,:6]\n", + "-->\n", "\n", - "a[0::2,0::2]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "np.diag(1+np.arange(4),k=-1)" + "\n", + "- 3) Crear un array de 1000 números aleatorios y encontrar su media (tip: ver el método `mean()`\n", + "\n", + "- 4) Crear una array (matriz) de 10x10 donde cada fila va del 0 al 9 (tip: ¿qué pasa al sumar un array 2d con otro 1d?)\n", + "\n", + "- 5) Crear una matriz de esta forma\n", + " ```\n", + " array([[0, 0, 0, 0, 5],\n", + " [0, 0, 0, 4, 0],\n", + " [0, 0, 3, 0, 0],\n", + " [0, 2, 0, 0, 0],\n", + " [1, 0, 0, 0, 0]])\n", + " ```\n", + " \n", + " \n", + " (tip: investigar la función `diag()` y `rot90()`" ] }, { @@ -2784,46 +2362,6 @@ " " ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - " (tip: investigar la función `diag()` y `rot90()`" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "np." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "aleatorio = np.random.normal?" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "aleatorio = np.random.normal" - ] - }, { "cell_type": "code", "execution_count": null, @@ -2839,17 +2377,15 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Funciones de reducciones/agregación\n", + "### Funciones de reducción/agregación\n", "\n", - "numpy tiene muchas funciones y/o métodos de \"reducción\", que sumarizan información del array. Por ejemplo: sumatoria, media, maximo y minimo, etc." + "numpy tiene muchas funciones y/o métodos de \"reducción\", que sumarizan información del array. Por ejemplo: sumatoria, media, máximo y mínimo, etc." ] }, { "cell_type": "code", - "execution_count": 112, - "metadata": { - "collapsed": false - }, + "execution_count": 32, + "metadata": {}, "outputs": [ { "data": { @@ -2857,7 +2393,7 @@ "10" ] }, - "execution_count": 112, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -2877,9 +2413,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "x.sum()" @@ -2896,10 +2430,8 @@ }, { "cell_type": "code", - "execution_count": 114, - "metadata": { - "collapsed": false - }, + "execution_count": 34, + "metadata": {}, "outputs": [ { "data": { @@ -2907,7 +2439,7 @@ "array([2, 4])" ] }, - "execution_count": 114, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -2920,9 +2452,7 @@ { "cell_type": "code", "execution_count": 121, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2955,9 +2485,7 @@ { "cell_type": "code", "execution_count": 123, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2988,9 +2516,7 @@ { "cell_type": "code", "execution_count": 125, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -3013,9 +2539,7 @@ { "cell_type": "code", "execution_count": 128, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -3042,9 +2566,7 @@ { "cell_type": "code", "execution_count": 129, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -3066,9 +2588,7 @@ { "cell_type": "code", "execution_count": 130, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -3091,9 +2611,7 @@ { "cell_type": "code", "execution_count": 131, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -3132,10 +2650,8 @@ }, { "cell_type": "code", - "execution_count": 135, - "metadata": { - "collapsed": false - }, + "execution_count": 40, + "metadata": {}, "outputs": [ { "data": { @@ -3148,7 +2664,7 @@ " [0, 0, 0, 0, 0]])" ] }, - "execution_count": 135, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -3171,24 +2687,58 @@ "Una funcion importante es `meshgrid`, que permite crear una \"rejilla\" para definir dominios de más de una variable a partir de arrays unidemensionales. \n", "\n", "\n", - "Por ejemplo, si quisieramos definir un dominio de $\\R3$ (x,y)" + "Por ejemplo, si quisieramos definir un dominio de ${\\rm I\\!R3}$ (x,y)" ] }, { "cell_type": "code", - "execution_count": 136, - "metadata": { - "collapsed": false - }, + "execution_count": 41, + "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "[ 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10.] [ 2. 2.5 3. 3.5 4. 4.5 5. ]\n", - "(7, 11) (7, 11)\n" - ] - }, + "data": { + "text/plain": [ + "(array([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10.]),\n", + " array([ 2. , 2.5, 3. , 3.5, 4. , 4.5, 5. ]))" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x = np.linspace(0, 10, 11)\n", + "y = np.linspace(2, 5, 7) \n", + "x, y\n" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "((7, 11), (7, 11))" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "grid = Xm, Ym = np.meshgrid(x, y)\n", + "Xm.shape, Ym.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ { "data": { "text/plain": [ @@ -3208,17 +2758,12 @@ " [ 5. , 5. , 5. , 5. , 5. , 5. , 5. , 5. , 5. , 5. , 5. ]])]" ] }, - "execution_count": 136, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "x = np.linspace(0, 10, 11)\n", - "y = np.linspace(2, 5, 7) \n", - "print(x, y)\n", - "grid = Xm, Ym = np.meshgrid(x, y)\n", - "print(Xm.shape, Ym.shape)\n", "grid" ] }, @@ -3238,10 +2783,8 @@ }, { "cell_type": "code", - "execution_count": 138, - "metadata": { - "collapsed": false - }, + "execution_count": 45, + "metadata": {}, "outputs": [ { "data": { @@ -3262,7 +2805,7 @@ " 900. , 1225. , 1600. , 2025. , 2500. ]])" ] }, - "execution_count": 138, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -3281,16 +2824,14 @@ }, { "cell_type": "code", - "execution_count": 139, - "metadata": { - "collapsed": false - }, + "execution_count": 46, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWQAAAEACAYAAACEfgxsAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW0AAAD8CAYAAAC8TPVwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -3304,7 +2845,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 47, "metadata": { "collapsed": true }, @@ -3324,64 +2865,6 @@ "\n" ] }, - { - "cell_type": "code", - "execution_count": 143, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "x = y = np.linspace(2, -2, 100)\n", - "xx,yy = np.meshgrid(x, y)\n", - "z = xx*np.exp(-(xx**2 + yy**2))" - ] - }, - { - "cell_type": "code", - "execution_count": 147, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "ename": "AttributeError", - "evalue": "'module' object has no attribute '_string_to_bool'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0mfig\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m \u001b[0max\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd_subplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m111\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mprojection\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'3d'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 7\u001b[0m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot_wireframe\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mxx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0myy\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mz\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrstride\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcstride\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m/usr/local/lib/python3.4/dist-packages/matplotlib/figure.py\u001b[0m in \u001b[0;36madd_subplot\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 962\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_axstack\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mremove\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0max\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 963\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 964\u001b[1;33m \u001b[0ma\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msubplot_class_factory\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mprojection_class\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 965\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 966\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_axstack\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0ma\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m/usr/local/lib/python3.4/dist-packages/matplotlib/axes/_subplots.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, fig, *args, **kwargs)\u001b[0m\n\u001b[0;32m 76\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 77\u001b[0m \u001b[1;31m# _axes_class is set in the subplot_class_factory\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 78\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_axes_class\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfig\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfigbox\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 79\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 80\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m__reduce__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m/usr/lib/python3/dist-packages/mpl_toolkits/mplot3d/axes3d.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, fig, rect, *args, **kwargs)\u001b[0m\n\u001b[0;32m 89\u001b[0m Axes.__init__(self, fig, rect,\n\u001b[0;32m 90\u001b[0m \u001b[0mframeon\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 91\u001b[1;33m *args, **kwargs)\n\u001b[0m\u001b[0;32m 92\u001b[0m \u001b[1;31m# Disable drawing of axes by base class\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 93\u001b[0m \u001b[0mAxes\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_axis_off\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m/usr/local/lib/python3.4/dist-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, fig, rect, axisbg, frameon, sharex, sharey, label, xscale, yscale, **kwargs)\u001b[0m\n\u001b[0;32m 435\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_hold\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrcParams\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'axes.hold'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 436\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_connected\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m{\u001b[0m\u001b[1;33m}\u001b[0m \u001b[1;31m# a dict from events to (id, func)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 437\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcla\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 438\u001b[0m \u001b[1;31m# funcs used to format x and y - fall back on major formatters\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 439\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfmt_xdata\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m/usr/lib/python3/dist-packages/mpl_toolkits/mplot3d/axes3d.py\u001b[0m in \u001b[0;36mcla\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 1043\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_zmargin\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1044\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1045\u001b[1;33m \u001b[0mAxes\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcla\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1046\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1047\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgrid\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrcParams\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'axes3d.grid'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m/usr/local/lib/python3.4/dist-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36mcla\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 906\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcontainers\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 907\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 908\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgrid\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_gridOn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mwhich\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrcParams\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'axes.grid.which'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 909\u001b[0m props = font_manager.FontProperties(size=rcParams['axes.titlesize'],\n\u001b[0;32m 910\u001b[0m weight=rcParams['axes.titleweight'])\n", - "\u001b[1;32m/usr/lib/python3/dist-packages/mpl_toolkits/mplot3d/axes3d.py\u001b[0m in \u001b[0;36mgrid\u001b[1;34m(self, b, **kwargs)\u001b[0m\n\u001b[0;32m 1254\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1255\u001b[0m \u001b[0mb\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1256\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_draw_grid\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmaxes\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_string_to_bool\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mb\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1257\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1258\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mticklabel_format\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mAttributeError\u001b[0m: 'module' object has no attribute '_string_to_bool'" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from mpl_toolkits.mplot3d import axes3d\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "fig = plt.figure()\n", - "ax = fig.add_subplot(111, projection='3d')\n", - "ax.plot_wireframe(xx, yy, z, rstride=10, cstride=10)" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -3398,24 +2881,22 @@ }, { "cell_type": "code", - "execution_count": 148, - "metadata": { - "collapsed": false - }, + "execution_count": 50, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([21, 27, 2, 27, 17, 7, 3, 5, 15, 7])" + "array([29, 12, 27, 28, 11, 25, 2, 10, 3, 1])" ] }, - "execution_count": 148, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "a = np.random.random_integers(0, 30, 10) # 10 enteros aleatorios entre [0, 30]\n", + "a = np.random.randint(0, 31, 10) # 10 enteros aleatorios entre [0, 30]\n", "a" ] }, @@ -3428,18 +2909,16 @@ }, { "cell_type": "code", - "execution_count": 149, - "metadata": { - "collapsed": false - }, + "execution_count": 51, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([27, 2, 17, 27])" + "array([12, 27, 11, 12])" ] }, - "execution_count": 149, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } @@ -3452,15 +2931,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Por otro lado, podemos indexar elementos a traves de un array (o cualquier secuencia array-like) de **tipo booleano**. Esto es, hacer una **máscara**" + "Por otro lado, podemos indexar elementos a traves de un array (o cualquier secuencia array-like) de **tipo booleano**, de igual tamaño que el array que se indexa. Esto es, hacer una **máscara**" ] }, { "cell_type": "code", "execution_count": 150, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -3481,23 +2958,21 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Pero por otro lado sabemos que via broadcasting podemos obtener un array booleano " + "Por otro lado sabemos que via broadcasting podemos obtener un array booleano " ] }, { "cell_type": "code", - "execution_count": 151, - "metadata": { - "collapsed": false - }, + "execution_count": 52, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([ True, True, False, True, True, False, False, False, False, False], dtype=bool)" + "array([ True, False, True, True, False, True, False, False, False, False], dtype=bool)" ] }, - "execution_count": 151, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } @@ -3515,18 +2990,16 @@ }, { "cell_type": "code", - "execution_count": 152, - "metadata": { - "collapsed": false - }, + "execution_count": 53, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([21, 27, 27, 17, 15])" + "array([29, 12, 27, 28, 11, 25])" ] }, - "execution_count": 152, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } @@ -3544,18 +3017,16 @@ }, { "cell_type": "code", - "execution_count": 153, - "metadata": { - "collapsed": false - }, + "execution_count": 54, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([21, 17, 15])" + "array([12, 11])" ] }, - "execution_count": 153, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } @@ -3581,11 +3052,20 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(array([0, 2, 3, 5]),)" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "np.where(a > 15) # devuelve las posiciones." ] @@ -3599,18 +3079,16 @@ }, { "cell_type": "code", - "execution_count": 154, - "metadata": { - "collapsed": false - }, + "execution_count": 56, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([21, 27, 0, 27, 17, 0, 0, 0, 15, 0])" + "array([29, 12, 27, 28, 11, 25, 0, 0, 0, 0])" ] }, - "execution_count": 154, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -3651,10 +3129,8 @@ }, { "cell_type": "code", - "execution_count": 155, - "metadata": { - "collapsed": false - }, + "execution_count": 58, + "metadata": {}, "outputs": [ { "data": { @@ -3663,7 +3139,7 @@ " [-3.1, 2. , 5. , 4.5]])" ] }, - "execution_count": 155, + "execution_count": 58, "metadata": {}, "output_type": "execute_result" } @@ -3684,10 +3160,8 @@ }, { "cell_type": "code", - "execution_count": 156, - "metadata": { - "collapsed": false - }, + "execution_count": 63, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -3712,7 +3186,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 64, "metadata": { "collapsed": true }, @@ -3730,10 +3204,8 @@ }, { "cell_type": "code", - "execution_count": 157, - "metadata": { - "collapsed": false - }, + "execution_count": 65, + "metadata": {}, "outputs": [ { "data": { @@ -3741,7 +3213,7 @@ "(211, 4)" ] }, - "execution_count": 157, + "execution_count": 65, "metadata": {}, "output_type": "execute_result" } @@ -3760,10 +3232,8 @@ }, { "cell_type": "code", - "execution_count": 158, - "metadata": { - "collapsed": false - }, + "execution_count": 66, + "metadata": {}, "outputs": [ { "data": { @@ -3806,7 +3276,7 @@ " 190.564 ])" ] }, - "execution_count": 158, + "execution_count": 66, "metadata": {}, "output_type": "execute_result" } @@ -3824,7 +3294,7 @@ }, { "cell_type": "code", - "execution_count": 159, + "execution_count": 67, "metadata": { "collapsed": true }, @@ -3835,22 +3305,75 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 304.21 , 304.2056, 304.2011, 304.192 , 304.174 , 304.1379,\n", + " 304.0657, 303.9211, 303.6309, 303.2894, 302.9461, 302.6013,\n", + " 302.2547, 301.9064, 301.5565, 301.2048, 300.8514, 300.4962,\n", + " 300.1394, 299.7807, 299.4203, 299.0581, 298.6941, 298.3283,\n", + " 297.9606, 297.5911, 297.2198, 296.8466, 296.4716, 296.0946,\n", + " 295.7158, 295.335 , 294.9524, 294.5677, 294.1812, 293.7927,\n", + " 293.4022, 293.0097, 292.6152, 292.2187, 291.8201, 291.4195,\n", + " 291.0169, 290.6122, 290.2054, 289.7965, 289.3855, 288.9724,\n", + " 288.5572, 288.1398, 287.7202, 287.2984, 286.8745, 286.4484,\n", + " 286.02 , 285.5894, 285.1566, 284.7215, 284.2841, 283.8444,\n", + " 283.4025, 282.9582, 282.5116, 282.0627, 281.6114, 281.1577,\n", + " 280.7017, 280.2432, 279.7824, 279.3192, 278.8535, 278.3854,\n", + " 277.9148, 277.4417, 276.9662, 276.4882, 276.0077, 275.5246,\n", + " 275.0391, 274.551 , 274.0603, 273.5671, 273.0714, 272.573 ,\n", + " 272.0721, 271.5686, 271.0625, 270.5537, 270.0424, 269.5284,\n", + " 269.0117, 268.4925, 267.9705, 267.446 , 266.9187, 266.3888,\n", + " 265.8562, 265.321 , 264.7831, 264.2425, 263.6992, 263.1532,\n", + " 262.6045, 262.0532, 261.4991, 260.9424, 260.383 , 259.821 ,\n", + " 259.2562, 258.6888, 258.1187, 257.546 , 256.9706, 256.3925,\n", + " 255.8118, 255.2285, 254.6426, 254.0541, 253.4629, 252.8692,\n", + " 252.2729, 251.6741, 251.0727, 250.4688, 249.8625, 249.2536,\n", + " 248.6422, 248.0284, 247.4122, 246.7935, 246.1725, 245.5491,\n", + " 244.9234, 244.2953, 243.665 , 243.0323, 242.3974, 241.7603,\n", + " 241.121 , 240.4795, 239.8358, 239.19 , 238.542 , 237.892 ,\n", + " 237.2398, 236.5856, 235.9294, 235.2711, 234.6108, 233.9484,\n", + " 233.2841, 232.6178, 231.9494, 231.2791, 230.6067, 229.9324,\n", + " 229.256 , 228.5776, 227.8971, 227.2145, 226.5299, 225.843 ,\n", + " 225.154 , 224.4628, 223.7692, 223.0734, 222.3751, 221.6743,\n", + " 220.971 , 220.265 , 219.5564, 218.8448, 218.1304, 217.4129,\n", + " 216.6923, 215.9683, 215.2409, 214.51 , 213.7753, 213.0367,\n", + " 212.2941, 211.5473, 210.7961, 210.0403, 209.2797, 208.5141,\n", + " 207.7433, 206.967 , 206.1851, 205.3974, 204.6034, 203.8032,\n", + " 202.9963, 202.1825, 201.3615, 200.5331, 199.697 , 198.8528,\n", + " 198.0004, 197.1393, 196.2693, 195.3901, 194.5014, 193.6027,\n", + " 192.6939, 191.7744, 190.8441, 190.7051, 190.6356, 190.6008,\n", + " 190.564 ])" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "t" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "211" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "t.size" ] @@ -3864,7 +3387,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 70, "metadata": { "collapsed": true }, @@ -3875,16 +3398,14 @@ }, { "cell_type": "code", - "execution_count": 160, - "metadata": { - "collapsed": false - }, + "execution_count": 72, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYQAAAEZCAYAAACXRVJOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nWQAAAABJRU5ErkJggg==\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAEWCAYAAABrDZDcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -3893,7 +3414,7 @@ ], "source": [ "from matplotlib import pyplot\n", - "pyplot.plot(, p, 'r') # el tercer parámetro es el formato\n", + "pyplot.plot(t, p, 'r') # el tercer parámetro es el formato\n", "pyplot.title('Critical pressure vs temperature')\n", "pyplot.grid()\n", "pyplot.xlabel('Temperature [K]')\n", @@ -3916,10 +3437,8 @@ }, { "cell_type": "code", - "execution_count": 166, - "metadata": { - "collapsed": false - }, + "execution_count": 73, + "metadata": {}, "outputs": [ { "data": { @@ -3927,7 +3446,7 @@ "array([-1.13600982+0.39307569j, 0.13600982-0.39307569j])" ] }, - "execution_count": 166, + "execution_count": 73, "metadata": {}, "output_type": "execute_result" } @@ -3939,11 +3458,21 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 74, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([-3.01556495 -5.38277801e+00j, 2.43369801 +1.38394115e+00j,\n", + " 0.18186694 -1.16314504e-03j, 0.00000000 +0.00000000e+00j])" + ] + }, + "execution_count": 74, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# encima funciona para grado n\n", "np.roots([1j, -4+0.4j, 18, -np.pi, 0]) # polinomio de grado 5!" @@ -3958,10 +3487,8 @@ }, { "cell_type": "code", - "execution_count": 165, - "metadata": { - "collapsed": false - }, + "execution_count": 75, + "metadata": {}, "outputs": [ { "data": { @@ -3969,7 +3496,7 @@ "array([ 1.+0.j, 0.-1.j, -4.+0.j, 0.+4.j])" ] }, - "execution_count": 165, + "execution_count": 75, "metadata": {}, "output_type": "execute_result" } @@ -3980,10 +3507,8 @@ }, { "cell_type": "code", - "execution_count": 167, - "metadata": { - "collapsed": false - }, + "execution_count": 76, + "metadata": {}, "outputs": [ { "data": { @@ -3991,7 +3516,7 @@ "array([ 1.00000000e+00+0.j , 1.00000000e+00+0.j , 6.93254368e-09+0.5j])" ] }, - "execution_count": 167, + "execution_count": 76, "metadata": {}, "output_type": "execute_result" } @@ -4009,10 +3534,8 @@ }, { "cell_type": "code", - "execution_count": 168, - "metadata": { - "collapsed": false - }, + "execution_count": 77, + "metadata": {}, "outputs": [ { "data": { @@ -4021,7 +3544,7 @@ " [ 1.5, -0.5]])" ] }, - "execution_count": 168, + "execution_count": 77, "metadata": {}, "output_type": "execute_result" } @@ -4041,19 +3564,17 @@ }, { "cell_type": "code", - "execution_count": 169, - "metadata": { - "collapsed": false - }, + "execution_count": 78, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([[ 1.00000000e+00, 1.11022302e-16],\n", - " [ 0.00000000e+00, 1.00000000e+00]])" + "array([[ 1.00000000e+00, 0.00000000e+00],\n", + " [ 8.88178420e-16, 1.00000000e+00]])" ] }, - "execution_count": 169, + "execution_count": 78, "metadata": {}, "output_type": "execute_result" } @@ -4071,10 +3592,8 @@ }, { "cell_type": "code", - "execution_count": 170, - "metadata": { - "collapsed": false - }, + "execution_count": 79, + "metadata": {}, "outputs": [ { "data": { @@ -4082,7 +3601,7 @@ "array([ 6.13333333, -1.06666667])" ] }, - "execution_count": 170, + "execution_count": 79, "metadata": {}, "output_type": "execute_result" } @@ -4132,10 +3651,8 @@ }, { "cell_type": "code", - "execution_count": 171, - "metadata": { - "collapsed": false - }, + "execution_count": 80, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -4149,9 +3666,9 @@ }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXMAAAEKCAYAAADgl7WbAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXYAAAEICAYAAABLdt/UAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -4183,16 +3700,14 @@ }, { "cell_type": "code", - "execution_count": 172, - "metadata": { - "collapsed": false - }, + "execution_count": 81, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXkAAAEACAYAAABWLgY0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\npkFeRCTGNMiLiMTY/wfAkXRnn3Vu9QAAAABJRU5ErkJggg==\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAD8CAYAAAB0IB+mAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -4221,16 +3736,14 @@ }, { "cell_type": "code", - "execution_count": 173, - "metadata": { - "collapsed": false - }, + "execution_count": 82, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEZCAYAAADCJLEQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nYdXIqzYAAAAASUVORK5CYII=\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEYCAYAAAAJeGK1AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nIhJL/w+fuTeAFZWrIgAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -4259,7 +3772,7 @@ }, { "cell_type": "code", - "execution_count": 174, + "execution_count": 83, "metadata": { "collapsed": true }, @@ -4270,7 +3783,7 @@ }, { "cell_type": "code", - "execution_count": 175, + "execution_count": 84, "metadata": { "collapsed": true }, @@ -4288,16 +3801,14 @@ }, { "cell_type": "code", - "execution_count": 177, - "metadata": { - "collapsed": false - }, + "execution_count": 85, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA+QAAADICAYAAABh2yvBAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n/wO17ppPDUq23AAAAABJRU5ErkJggg==\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA/AAAADGCAYAAAB1lGsjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nfaP1CAAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -4340,7 +3851,7 @@ }, { "cell_type": "code", - "execution_count": 178, + "execution_count": 86, "metadata": { "collapsed": true }, @@ -4358,33 +3869,14 @@ }, { "cell_type": "code", - "execution_count": 179, - "metadata": { - "collapsed": false - }, + "execution_count": 87, + "metadata": {}, "outputs": [ - { - "ename": "AttributeError", - "evalue": "'module' object has no attribute '_string_to_bool'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[1;31m# `ax` is a 3D-aware axis instance, because of the projection='3d' keyword argument to add_subplot\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 4\u001b[1;33m \u001b[0max\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd_subplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mprojection\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'3d'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 5\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 6\u001b[0m \u001b[0mtheta\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlinspace\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m4\u001b[0m \u001b[1;33m*\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpi\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m4\u001b[0m \u001b[1;33m*\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpi\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m1000\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m/usr/local/lib/python3.4/dist-packages/matplotlib/figure.py\u001b[0m in \u001b[0;36madd_subplot\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 962\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_axstack\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mremove\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0max\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 963\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 964\u001b[1;33m \u001b[0ma\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msubplot_class_factory\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mprojection_class\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 965\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 966\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_axstack\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0ma\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m/usr/local/lib/python3.4/dist-packages/matplotlib/axes/_subplots.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, fig, *args, **kwargs)\u001b[0m\n\u001b[0;32m 76\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 77\u001b[0m \u001b[1;31m# _axes_class is set in the subplot_class_factory\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 78\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_axes_class\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfig\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfigbox\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 79\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 80\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m__reduce__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m/usr/lib/python3/dist-packages/mpl_toolkits/mplot3d/axes3d.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, fig, rect, *args, **kwargs)\u001b[0m\n\u001b[0;32m 89\u001b[0m Axes.__init__(self, fig, rect,\n\u001b[0;32m 90\u001b[0m \u001b[0mframeon\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 91\u001b[1;33m *args, **kwargs)\n\u001b[0m\u001b[0;32m 92\u001b[0m \u001b[1;31m# Disable drawing of axes by base class\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 93\u001b[0m \u001b[0mAxes\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_axis_off\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m/usr/local/lib/python3.4/dist-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, fig, rect, axisbg, frameon, sharex, sharey, label, xscale, yscale, **kwargs)\u001b[0m\n\u001b[0;32m 435\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_hold\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrcParams\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'axes.hold'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 436\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_connected\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m{\u001b[0m\u001b[1;33m}\u001b[0m \u001b[1;31m# a dict from events to (id, func)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 437\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcla\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 438\u001b[0m \u001b[1;31m# funcs used to format x and y - fall back on major formatters\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 439\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfmt_xdata\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m/usr/lib/python3/dist-packages/mpl_toolkits/mplot3d/axes3d.py\u001b[0m in \u001b[0;36mcla\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 1043\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_zmargin\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1044\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1045\u001b[1;33m \u001b[0mAxes\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcla\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1046\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1047\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgrid\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrcParams\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'axes3d.grid'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m/usr/local/lib/python3.4/dist-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36mcla\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 906\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcontainers\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 907\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 908\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgrid\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_gridOn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mwhich\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrcParams\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'axes.grid.which'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 909\u001b[0m props = font_manager.FontProperties(size=rcParams['axes.titlesize'],\n\u001b[0;32m 910\u001b[0m weight=rcParams['axes.titleweight'])\n", - "\u001b[1;32m/usr/lib/python3/dist-packages/mpl_toolkits/mplot3d/axes3d.py\u001b[0m in \u001b[0;36mgrid\u001b[1;34m(self, b, **kwargs)\u001b[0m\n\u001b[0;32m 1254\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1255\u001b[0m \u001b[0mb\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1256\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_draw_grid\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmaxes\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_string_to_bool\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mb\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1257\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1258\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mticklabel_format\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mAttributeError\u001b[0m: 'module' object has no attribute '_string_to_bool'" - ] - }, { "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkMAAAHICAYAAABNpu4dAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -4436,7 +3928,7 @@ }, { "cell_type": "code", - "execution_count": 180, + "execution_count": 88, "metadata": { "collapsed": true }, @@ -4462,16 +3954,14 @@ }, { "cell_type": "code", - "execution_count": 181, - "metadata": { - "collapsed": false - }, + "execution_count": 89, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAAEWCAYAAADFF0QYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAASUVORK5CYII=\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWQAAAEUCAYAAAAcOUzhAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n1AgDWZIa8f9wWY9FhkAnzwAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -4506,16 +3996,14 @@ }, { "cell_type": "code", - "execution_count": 182, - "metadata": { - "collapsed": false - }, + "execution_count": 90, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAAEXCAYAAAAOS5e9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nfGiNifPb/gAAAABJRU5ErkJggg==\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW0AAAEnCAYAAABiwhIoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nICDwEiFM2gICAgIvEcKkLSAgIPAS8X+rG3uAO0uDFgAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -4541,16 +4029,14 @@ }, { "cell_type": "code", - "execution_count": 183, - "metadata": { - "collapsed": false - }, + "execution_count": 91, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAAD/CAYAAABSKwXmAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW0AAAD3CAYAAADWiwWzAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -4594,9 +4080,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.4.0" + "version": "3.6.1" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/Clase 5.ipynb b/Clase 5.ipynb index b4e0819..4facc1d 100644 --- a/Clase 5.ipynb +++ b/Clase 5.ipynb @@ -13,8 +13,6 @@ "source": [ "Ing. Martín Gaitán\n", "\n", - "Twitter: `@tin_nqn_`\n", - "\n", "Email: `gaitan@gmail.com`" ] }, @@ -61,21 +59,6 @@ "- Resumen de [sintaxis markdown](https://github.com/jupyter/strata-sv-2015-tutorial/blob/master/resources/Working%20With%20Markdown%20Cells.ipynb)" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- python.org.ar (Python General -- Tod@s!)\n", - "- scipyla.org (Python Científico - en portuñol/ingles)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "--------" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -95,7 +78,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": { "collapsed": true }, @@ -115,11 +98,20 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([False, True, True], dtype=bool)" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "x >= 2" ] @@ -133,11 +125,21 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "ename": "ValueError", + "evalue": "The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mbool\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m \u001b[0;34m>=\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mValueError\u001b[0m: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()" + ] + } + ], "source": [ "bool(x >= 2)" ] @@ -151,11 +153,20 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "np.all(x >= 2)" ] @@ -164,15 +175,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Por ejemolo, veamos este par de funciones" + "Por ejemlo, veamos este par de funciones" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, + "execution_count": 5, + "metadata": {}, "outputs": [], "source": [ "def func1(a):\n", @@ -197,11 +206,20 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(100, -4)" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "func1(10), func2(-4)" ] @@ -215,11 +233,20 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 0, 1, 4, 9, 16, 25, 36, 49, 64, 81])" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "func1(np.arange(10))" ] @@ -233,11 +260,22 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "ename": "ValueError", + "evalue": "The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mfunc2\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m\u001b[0m in \u001b[0;36mfunc2\u001b[0;34m(a)\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;34m\"\"\"Return the same value if it's negative, otherwise returns its square\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0;32mif\u001b[0m \u001b[0ma\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 9\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mValueError\u001b[0m: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()" + ] + } + ], "source": [ "func2(np.arange(10))" ] @@ -252,9 +290,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "v_func2 = np.vectorize(func2)\n", @@ -264,9 +300,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "type(v_func2), v_func2.__doc__" @@ -282,9 +316,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "v_func2(2)" @@ -442,9 +474,7 @@ { "cell_type": "code", "execution_count": 1, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "from scipy.integrate import quad\n", @@ -457,9 +487,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "val, abserr = quad(f, 0, 3)\n", @@ -484,9 +512,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "# otro ejemplo de funcion lambda\n", @@ -496,9 +522,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "f(2)" @@ -514,9 +538,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "quad(lambda x: x**2, 0, 3)" @@ -554,9 +576,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "# evalua la integral x**3\n", @@ -582,9 +602,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "integrate.dblquad" @@ -613,9 +631,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "%matplotlib inline \n", @@ -654,51 +670,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "x = np.linspace(0, 1, 1000)\n", - "y = np.sin(4 * np.pi * x) * np.exp(-5 * x)\n", - "plt.fill(x, y, 'r')\n", - "plt.grid(True)\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "# %load https://gist.githubusercontent.com/mgaitan/36d4dbce14ab4dc69f52/raw/9d040d916ebb77bf7ff2618a59e9b6ad95db71e8/area.py\n", - "# primero hay que observar que al pedir \"area\" se interpreta que la parte negativa de la curva aporta área \n", - "\n", - "plt.fill(x, np.abs(y))\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "\n", - "# luego, mediante integracion numerica de la función absoluta\n", - "quad(lambda x: np.abs(np.sin(4 * np.pi * x) * np.exp(-5 * x)), 0, 1)[0]\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "\n", @@ -732,9 +704,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "fig, ax = plt.subplots()\n", @@ -752,9 +722,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "from scipy import optimize\n", @@ -765,9 +733,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "result['x']" @@ -783,9 +749,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "optimize.minimize(fpol, 0, method='hBFGS')['x']" @@ -801,9 +765,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "optimize.minimize(fpol, 0, method='Powell')['x']" @@ -830,9 +792,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "# %load https://gist.githubusercontent.com/mgaitan/faa930a5874311a6f888/raw/ec7ff8268935ab53095c3067c12210d26c40b406/min_and_max.py\n", @@ -860,9 +820,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "\n", @@ -876,9 +834,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "\n", @@ -905,9 +861,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "dataset = np.array([[ 0. , 3.07127661],\n", @@ -966,9 +920,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "x, y = dataset[:,0], dataset[:,1]\n", @@ -994,9 +946,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "def func(x, a, b, c): # x es la variable independiente, a b y c los parametros a encontrar\n", @@ -1019,9 +969,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "ax.plot(x, func(x, *popt), 'r', label='fitted')\n", @@ -1044,9 +992,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "from scipy.misc import lena\n", @@ -1057,9 +1003,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", @@ -1079,9 +1023,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "mascara = (image > image.max() * .75)\n", @@ -1098,9 +1040,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "plt.imshow(np.where(mascara, image, 255))" @@ -1109,9 +1049,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "mask = np.tril(np.ones(image.shape)) #tril / triu seleccionan triangulos inf y sup\n", @@ -1139,9 +1077,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "plt.imshow(ndimage.convolve(image, np.ones((12,12))))" @@ -1157,9 +1093,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "lena = image\n", @@ -1185,9 +1119,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "from scipy import signal\n", @@ -1211,6 +1143,90 @@ "Si les interesa esta área deberian ver los paquetes especializados [Scikit-image](http://scikit-image.org/), [Pillow](http://pillow.readthedocs.org) y [OpenCV](http://opencv.org/)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Transformada de Fourier\n", + "\n", + " \n" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY4AAAEKCAYAAAAFJbKyAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%matplotlib inline\n", + "\n", + "f = 10 # Frequency, in cycles per second, or Hertz\n", + "f_s = 100 # Sampling rate, or number of measurements per second\n", + "\n", + "t = np.linspace(0, 2, 2 * f_s, endpoint=False)\n", + "x = np.sin(f * 2 * np.pi * t) + np.sin(np.pi * t)\n", + "\n", + "fig, ax = plt.subplots()\n", + "ax.plot(t, x)\n", + "ax.set_xlabel('Time [s]')\n", + "ax.set_ylabel('Signal amplitude');" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [ + { + "data": { + "text/latex": [ + "$$\\left ( -5, \\quad 110\\right )$$" + ], + "text/plain": [ + "(-5, 110)" + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAEKCAYAAAAIO8L1AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from scipy import fftpack\n", + "\n", + "X = fftpack.fft(x)\n", + "freqs = fftpack.fftfreq(len(x)) * f_s\n", + "\n", + "fig, ax = plt.subplots()\n", + "\n", + "ax.plot(freqs, np.abs(X))\n", + "ax.set_xlabel('Frequency in Hertz [Hz]')\n", + "ax.set_ylabel('Frequency Domain (Spectrum) Magnitude')\n", + "ax.set_xlim(-f_s / 2, f_s / 2)\n", + "ax.set_ylim(-5, 110)" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -1257,11 +1273,20 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2.8284271247461903" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "import math\n", "math.sqrt(8)" @@ -1276,11 +1301,20 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2*sqrt(2)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "import sympy\n", "\n", @@ -1297,22 +1331,40 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2.82842712474619" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "raiz8.evalf()" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2.82842712474619009760337744841939615713934375075389614635335947598146495692421407770077506865528314547002769246182459404984967211170147442528824299420" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "raiz8.evalf(n=150)" ] @@ -1348,10 +1400,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, + "execution_count": 15, + "metadata": {}, "outputs": [], "source": [ "import sympy\n", @@ -1368,11 +1418,23 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/latex": [ + "$$2 \\sqrt{2}$$" + ], + "text/plain": [ + "2⋅√2" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "sympy.sqrt(8)" ] @@ -1395,11 +1457,23 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/latex": [ + "$$\\frac{1}{2}$$" + ], + "text/plain": [ + "1/2" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "a = sympy.Rational(1, 2)\n", "a" @@ -1407,44 +1481,95 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/latex": [ + "$$1$$" + ], + "text/plain": [ + "1" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "a*2" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/latex": [ + "$$\\pi^{2}$$" + ], + "text/plain": [ + " 2\n", + "π " + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "sympy.pi**2" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/latex": [ + "$$3.141592653589793238462643383279502884197169399375105820974944592307816406286208998628034825342117067982148086513282306647093844609550582231725359408128481117450284102701938521105559644622948954930382$$" + ], + "text/plain": [ + "3.1415926535897932384626433832795028841971693993751058209749445923078164062862\n", + "089986280348253421170679821480865132823066470938446095505822317253594081284811\n", + "174502841027019385211055596446229489549303820" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "sympy.pi.evalf(n=200)" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/latex": [ + "$$5.85987448204884$$" + ], + "text/plain": [ + "5.85987448204884" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "(sympy.pi+sympy.exp(1)).evalf()" ] @@ -1458,33 +1583,69 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/latex": [ + "$$\\mathrm{True}$$" + ], + "text/plain": [ + "True" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "sympy.oo > 99999" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/latex": [ + "$$\\infty$$" + ], + "text/plain": [ + "∞" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "sympy.oo + 1" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/latex": [ + "$$0$$" + ], + "text/plain": [ + "0" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "1 / sympy.oo" ] @@ -1498,11 +1659,24 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/latex": [ + "$$1.414213562373095048801688724209698078569671875376948073176679737990732478462107038850387534327641573$$" + ], + "text/plain": [ + "1.4142135623730950488016887242096980785696718753769480731766797379907324784621\n", + "07038850387534327641573" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "sympy.N(sympy.sqrt(2), 100)" ] @@ -1538,10 +1712,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, + "execution_count": 26, + "metadata": {}, "outputs": [], "source": [ "x = sympy.Symbol('x')\n", @@ -1558,22 +1730,47 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/latex": [ + "$$2 x$$" + ], + "text/plain": [ + "2⋅x" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "x + y + x - y" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/latex": [ + "$$\\left(x + y\\right)^{2}$$" + ], + "text/plain": [ + " 2\n", + "(x + y) " + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "(x + y)**2" ] @@ -1587,11 +1784,24 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/latex": [ + "$$\\left(a - b\\right)^{2}$$" + ], + "text/plain": [ + " 2\n", + "(a - b) " + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "a, b = sympy.symbols('a b')\n", "(a - b)**2" @@ -1608,11 +1818,17 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "$$\\frac{1}{x} e^{\\cos^{x}{\\left (x \\right )}} \\sin{\\left (x \\right )}$$\n" + ] + } + ], "source": [ "from sympy import sin, exp, cos\n", "\n", @@ -1631,22 +1847,40 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'exp(pow(cos(x), x))*sin(x)/x'" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "sympy.ccode(formula) # codigo C ansi" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "' exp(cos(x)**x)*sin(x)/x'" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "sympy.fcode(formula) # codigo fortran iso" ] @@ -1667,11 +1901,24 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/latex": [ + "$$x^{2} + 2 x y + y^{2}$$" + ], + "text/plain": [ + " 2 2\n", + "x + 2⋅x⋅y + y " + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "sympy.expand((x+y)**2, deep=True)" ] @@ -1685,11 +1932,23 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/latex": [ + "$$\\Re{x} + \\Re{y} + i \\Im{x} + i \\Im{y}$$" + ], + "text/plain": [ + "re(x) + re(y) + ⅈ⋅im(x) + ⅈ⋅im(y)" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "sympy.expand(x + y, complex= True)" ] @@ -1703,22 +1962,46 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/latex": [ + "$$\\cos{\\left (x + y \\right )}$$" + ], + "text/plain": [ + "cos(x + y)" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "sympy.expand(sympy.cos(x + y))" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "text/latex": [ + "$$- \\sin{\\left (x \\right )} \\sin{\\left (y \\right )} + \\cos{\\left (x \\right )} \\cos{\\left (y \\right )}$$" + ], + "text/plain": [ + "-sin(x)⋅sin(y) + cos(x)⋅cos(y)" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "sympy.expand(sympy.cos(x + y), trig=True)" ] @@ -1733,9 +2016,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "sympy.simplify(x**2 + 2*x*y + y**2)" @@ -1798,9 +2079,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "from sympy import limit, sin, oo\n", @@ -1824,9 +2103,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "from sympy import diff, tan, exp, cos, sin\n", @@ -1837,9 +2114,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "diff(exp(sin(x**3)**x), x)" @@ -1855,9 +2130,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "diff(sin(2*x), x, 2)" @@ -1866,9 +2139,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "diff(sin(2*x), x, 3)" @@ -1891,9 +2162,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "sympy.series(sympy.cos(x), x)" @@ -1938,9 +2207,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "from sympy import integrate, log\n", @@ -1950,9 +2217,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "integrate(sin(x), x)" @@ -1961,9 +2226,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "from sympy import sinh\n", @@ -1980,9 +2243,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "integrate(exp(-x**2)*sympy.erf(x), x)" @@ -1998,9 +2259,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "integrate(x**3, (x, -1, 1))" @@ -2009,9 +2268,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "integrate(cos(x), (x, -sympy.pi/2, sympy.pi/2))" @@ -2027,9 +2284,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "integrate(exp(-x), (x, 0, sympy.oo))" @@ -2038,9 +2293,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "integrate(exp(-x**2), (x, -sympy.oo, sympy.oo))" @@ -2070,9 +2323,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "sympy.solve(x**4 - 1, x)" @@ -2088,9 +2339,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "sympy.solve([x + 5*y - 2, -3*x + 6*y - 15], [x, y])" @@ -2106,9 +2355,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "sympy.solve(exp(x) + 1, x)" @@ -2126,9 +2373,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "from sympy import factor\n", @@ -2146,9 +2391,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "x, g = sympy.symbols('x g')\n", @@ -2159,9 +2402,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "sympy.dsolve(expresion, g(x))" @@ -2177,9 +2418,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "expresion = sin(x)*cos(g(x)) + cos(x)*sin(g(x))*g(x).diff(x)\n", @@ -2210,9 +2449,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "a = np.linspace(0.0001, 10, 100)\n", @@ -2229,9 +2466,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "from sympy.utilities.autowrap import ufuncify\n", @@ -2241,9 +2476,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "f2(a)" @@ -2252,9 +2485,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "# para los incrédulos\n", @@ -2264,9 +2495,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "%timeit f(a)" @@ -2284,9 +2513,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "%timeit f2(a)" @@ -2339,19 +2566,6 @@ "- Vení a la conferencia anual! es Gratis! " ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false, - "scrolled": false - }, - "outputs": [], - "source": [ - "from IPython.display import IFrame\n", - "IFrame(src='http://ar.pycon.org', height=510, width=\"100%\")" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -2361,11 +2575,31 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "IFrame(src=\"https://docs.google.com/forms/d/1e2zHvV6ae3bQAjLsZuyZ_C5AJ2PGDkdpUD2pBH3mMRE/viewform?embedded=true\", width=\"100%\", height=500)" ] @@ -2396,9 +2630,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.4.0" + "version": "3.6.1" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/Clase 5b.ipynb b/Clase 5b.ipynb index 7ffef45..c1b7ba2 100644 --- a/Clase 5b.ipynb +++ b/Clase 5b.ipynb @@ -47,9 +47,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "%%file C:/Anaconda/Scripts/gfortran.bat\n", @@ -73,9 +71,7 @@ { "cell_type": "code", "execution_count": 1, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -122,9 +118,7 @@ { "cell_type": "code", "execution_count": 1, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -157,9 +151,7 @@ { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -253,9 +245,7 @@ { "cell_type": "code", "execution_count": 7, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "ename": "ImportError", @@ -283,9 +273,7 @@ { "cell_type": "code", "execution_count": 7, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "import dot_product\n", @@ -306,9 +294,7 @@ { "cell_type": "code", "execution_count": 6, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -343,9 +329,7 @@ { "cell_type": "code", "execution_count": 8, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -383,9 +367,7 @@ { "cell_type": "code", "execution_count": 9, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -472,9 +454,7 @@ { "cell_type": "code", "execution_count": 11, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -510,9 +490,7 @@ { "cell_type": "code", "execution_count": 13, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -538,9 +516,7 @@ { "cell_type": "code", "execution_count": 14, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -565,9 +541,7 @@ { "cell_type": "code", "execution_count": 15, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -587,9 +561,7 @@ { "cell_type": "code", "execution_count": 1, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -607,9 +579,7 @@ { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -629,9 +599,7 @@ { "cell_type": "code", "execution_count": 3, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "%%fortran\n", @@ -648,9 +616,7 @@ { "cell_type": "code", "execution_count": 4, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -688,9 +654,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "%%file CubicParam_simpler.for\n", @@ -763,9 +727,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "%%file CONPARIN.DAT\n", @@ -786,9 +748,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "!gfortran -o cubic_param CubicParam_simpler.for" @@ -797,9 +757,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "!./cubic_param # ./cubic_param en linux" @@ -808,9 +766,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "%pycat CONPAROUT.DAT" @@ -826,9 +782,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "_ = !f2py -m cubic_param -c CubicParam_simpler.for\n", @@ -838,9 +792,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "import cubic_param" @@ -856,9 +808,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "dir(cubic_param)" @@ -900,9 +850,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "%%file CubicParam_simpler.f90\n", @@ -960,9 +908,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "_ = !f2py -m cubic_param_new -c CubicParam_simpler.f90" @@ -971,9 +917,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "import cubic_param_new\n", @@ -983,9 +927,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "constants, parameters = cubic_param_new.modelsparam(1, tc=369.83, pc=42.48, om=0.152291)" @@ -994,9 +936,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "print constants\n", @@ -1006,9 +946,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "%pycat CONPAROUT.DAT" @@ -1036,9 +974,7 @@ { "cell_type": "code", "execution_count": 1, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -1070,9 +1006,7 @@ { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "_ = !f2py -m variable -c output_variable.f90" @@ -1081,9 +1015,7 @@ { "cell_type": "code", "execution_count": 3, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "import variable" @@ -1092,9 +1024,7 @@ { "cell_type": "code", "execution_count": 4, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1122,9 +1052,7 @@ { "cell_type": "code", "execution_count": 5, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "def raizde2(cantidad):\n", @@ -1139,9 +1067,7 @@ { "cell_type": "code", "execution_count": 6, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1161,9 +1087,7 @@ { "cell_type": "code", "execution_count": 7, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1183,9 +1107,7 @@ { "cell_type": "code", "execution_count": 8, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -1214,9 +1136,7 @@ { "cell_type": "code", "execution_count": 9, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", @@ -1231,9 +1151,7 @@ { "cell_type": "code", "execution_count": 10, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1253,9 +1171,7 @@ { "cell_type": "code", "execution_count": 11, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -1272,9 +1188,7 @@ { "cell_type": "code", "execution_count": 12, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -1292,9 +1206,7 @@ { "cell_type": "code", "execution_count": 14, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1321,9 +1233,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [] } @@ -1344,9 +1254,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.4.2" + "version": "3.6.1" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/Clase 6.ipynb b/Clase 6.ipynb index 6a6d612..75d614a 100644 --- a/Clase 6.ipynb +++ b/Clase 6.ipynb @@ -8,41 +8,7 @@ "\n", "\n", "Ing. Martín Gaitán\n", - "\n", - "- Twitter: `@tin_nqn_`\n", - "- Email: gaitan@gmail.com\n", - "\n", - "**Anotate en las listas de correo**\n", - "\n", - "- python.org.ar (Python General -- Tod@s!)\n", - "- scipyla.org (Python Científico - en portuñol/ingles)\n", - "--------\n", - "\n", - "Antes de arrancar, **hoy es la marcha y este curso adhiere** enfáticamente" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "image/jpeg": "/9j/4RR3RXhpZgAATU0AKgAAAAgADAEAAAMAAAABA6wAAAEBAAMAAAABA6wAAAECAAMAAAADAAAA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\n+/own/zf/Ef9B//Z\n", - "text/plain": [ - "" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from IPython.display import Image\n", - "Image(filename='img/ni-una-menos.jpg')" + "\n" ] }, { @@ -77,9 +43,7 @@ { "cell_type": "code", "execution_count": 15, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -105,9 +69,7 @@ { "cell_type": "code", "execution_count": 16, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -193,9 +155,7 @@ { "cell_type": "code", "execution_count": 20, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -218,9 +178,7 @@ { "cell_type": "code", "execution_count": 21, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -238,9 +196,7 @@ { "cell_type": "code", "execution_count": 22, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -258,9 +214,7 @@ { "cell_type": "code", "execution_count": 23, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -288,9 +242,7 @@ { "cell_type": "code", "execution_count": 24, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -338,7 +290,6 @@ "cell_type": "code", "execution_count": 31, "metadata": { - "collapsed": false, "scrolled": true }, "outputs": [ @@ -388,7 +339,6 @@ "cell_type": "code", "execution_count": 27, "metadata": { - "collapsed": false, "scrolled": true }, "outputs": [ @@ -1867,9 +1817,7 @@ { "cell_type": "code", "execution_count": 28, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2258,9 +2206,7 @@ { "cell_type": "code", "execution_count": 1, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "!gcc -shared -pthread -fPIC -fwrapv -O2 -Wall -fno-strict-aliasing -I /usr/include/python3.4 -o helloworld.so helloworld.c" @@ -2269,9 +2215,7 @@ { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2301,9 +2245,7 @@ { "cell_type": "code", "execution_count": 6, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2323,7 +2265,6 @@ "cell_type": "code", "execution_count": 7, "metadata": { - "collapsed": false, "scrolled": true }, "outputs": [ @@ -2357,7 +2298,6 @@ "cell_type": "code", "execution_count": 8, "metadata": { - "collapsed": false, "scrolled": true }, "outputs": [ @@ -2381,9 +2321,7 @@ { "cell_type": "code", "execution_count": 9, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2411,9 +2349,7 @@ { "cell_type": "code", "execution_count": 10, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "# %load_ext cythonmagic en versiones anteriores a 0.21\n", @@ -2423,9 +2359,7 @@ { "cell_type": "code", "execution_count": 13, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2447,9 +2381,7 @@ { "cell_type": "code", "execution_count": 14, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2473,9 +2405,7 @@ { "cell_type": "code", "execution_count": 15, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2503,9 +2433,7 @@ { "cell_type": "code", "execution_count": 16, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2534,9 +2462,7 @@ { "cell_type": "code", "execution_count": 17, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2570,9 +2496,7 @@ { "cell_type": "code", "execution_count": 19, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2592,9 +2516,7 @@ { "cell_type": "code", "execution_count": 21, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2614,9 +2536,7 @@ { "cell_type": "code", "execution_count": 22, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2662,9 +2582,7 @@ { "cell_type": "code", "execution_count": 24, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2701,9 +2619,7 @@ { "cell_type": "code", "execution_count": 25, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "def geo_prog(alpha, n):\n", @@ -2718,9 +2634,7 @@ { "cell_type": "code", "execution_count": 28, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2756,9 +2670,7 @@ { "cell_type": "code", "execution_count": 31, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -2775,9 +2687,7 @@ { "cell_type": "code", "execution_count": 32, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2797,9 +2707,7 @@ { "cell_type": "code", "execution_count": 33, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2830,9 +2738,7 @@ { "cell_type": "code", "execution_count": 34, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "%%cython \n", @@ -2853,9 +2759,7 @@ { "cell_type": "code", "execution_count": 35, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "ename": "NameError", @@ -2876,9 +2780,7 @@ { "cell_type": "code", "execution_count": 36, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2929,9 +2831,7 @@ { "cell_type": "code", "execution_count": 41, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2962,9 +2862,7 @@ { "cell_type": "code", "execution_count": 44, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -2991,9 +2889,7 @@ { "cell_type": "code", "execution_count": 45, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "%%cython\n", @@ -3020,9 +2916,7 @@ { "cell_type": "code", "execution_count": 46, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", @@ -3032,9 +2926,7 @@ { "cell_type": "code", "execution_count": 47, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -3089,9 +2981,7 @@ { "cell_type": "code", "execution_count": 48, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "def sum2d(arr):\n", @@ -3106,9 +2996,7 @@ { "cell_type": "code", "execution_count": 52, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "x = np.ones((10, 20))" @@ -3117,9 +3005,7 @@ { "cell_type": "code", "execution_count": 53, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -3139,9 +3025,7 @@ { "cell_type": "code", "execution_count": 54, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "m_random = np.random.rand(1000, 1000)" @@ -3150,9 +3034,7 @@ { "cell_type": "code", "execution_count": 55, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -3196,9 +3078,7 @@ { "cell_type": "code", "execution_count": 59, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -3225,9 +3105,7 @@ { "cell_type": "code", "execution_count": 58, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -3269,9 +3147,7 @@ { "cell_type": "code", "execution_count": 160, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -3305,9 +3181,7 @@ { "cell_type": "code", "execution_count": 6, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -3346,9 +3220,7 @@ { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -3371,9 +3243,7 @@ { "cell_type": "code", "execution_count": 14, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -3403,9 +3273,7 @@ { "cell_type": "code", "execution_count": 67, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", @@ -3429,9 +3297,7 @@ { "cell_type": "code", "execution_count": 68, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "filter = np.ones((5,5), dtype=np.int32)" @@ -3440,9 +3306,7 @@ { "cell_type": "code", "execution_count": 69, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -3470,9 +3334,7 @@ { "cell_type": "code", "execution_count": 72, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "from numba import int32\n", @@ -3504,9 +3366,7 @@ { "cell_type": "code", "execution_count": 75, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -3535,9 +3395,7 @@ { "cell_type": "code", "execution_count": 262, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -3563,9 +3421,7 @@ { "cell_type": "code", "execution_count": 253, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -3599,9 +3455,7 @@ { "cell_type": "code", "execution_count": 76, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "from scipy.ndimage import convolve" @@ -3610,9 +3464,7 @@ { "cell_type": "code", "execution_count": 82, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -3642,9 +3494,7 @@ { "cell_type": "code", "execution_count": 83, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -3680,9 +3530,7 @@ { "cell_type": "code", "execution_count": 90, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -3714,9 +3562,7 @@ { "cell_type": "code", "execution_count": 91, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "from scipy.ndimage.interpolation import rotate\n", @@ -3759,9 +3605,7 @@ { "cell_type": "code", "execution_count": 93, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -3781,9 +3625,7 @@ { "cell_type": "code", "execution_count": 94, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -3824,9 +3666,7 @@ { "cell_type": "code", "execution_count": 96, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -3853,9 +3693,7 @@ { "cell_type": "code", "execution_count": 98, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -3882,9 +3720,7 @@ { "cell_type": "code", "execution_count": 97, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "ename": "TypeError", @@ -3917,9 +3753,7 @@ { "cell_type": "code", "execution_count": 387, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "ename": "TypeError", @@ -3953,9 +3787,7 @@ { "cell_type": "code", "execution_count": 391, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -4020,9 +3852,7 @@ { "cell_type": "code", "execution_count": 103, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -4043,9 +3873,7 @@ { "cell_type": "code", "execution_count": 104, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -4062,9 +3890,7 @@ { "cell_type": "code", "execution_count": 105, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "busca_min_np_numba_object = jit(busca_min_np)" @@ -4073,9 +3899,7 @@ { "cell_type": "code", "execution_count": 106, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "ename": "KeyError", @@ -4096,9 +3920,7 @@ { "cell_type": "code", "execution_count": 107, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -4115,9 +3937,7 @@ { "cell_type": "code", "execution_count": 109, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "@jit(nopython=True)\n", @@ -4141,9 +3961,7 @@ { "cell_type": "code", "execution_count": 110, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "ename": "AttributeError", @@ -4183,9 +4001,7 @@ { "cell_type": "code", "execution_count": 111, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -4225,9 +4041,7 @@ { "cell_type": "code", "execution_count": 112, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -4285,9 +4099,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.4.0" + "version": "3.6.1" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/Clase 7.ipynb b/Clase 7.ipynb index d8ff54e..9901694 100644 --- a/Clase 7.ipynb +++ b/Clase 7.ipynb @@ -120,9 +120,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ ">>> # Fibonacci series:\n", @@ -136,9 +134,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "In [12]: a = 10" @@ -147,9 +143,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "# %load -s run_tests https://raw.githubusercontent.com/mgaitan/waliki/master/runtests.py\n", @@ -206,9 +200,7 @@ { "cell_type": "code", "execution_count": 13, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -240,9 +232,7 @@ { "cell_type": "code", "execution_count": 14, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -284,9 +274,7 @@ { "cell_type": "code", "execution_count": 15, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -315,9 +303,7 @@ { "cell_type": "code", "execution_count": 16, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -334,9 +320,7 @@ { "cell_type": "code", "execution_count": 17, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -356,9 +340,7 @@ { "cell_type": "code", "execution_count": 24, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -379,9 +361,7 @@ { "cell_type": "code", "execution_count": 23, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -400,9 +380,7 @@ { "cell_type": "code", "execution_count": 19, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "%run ejemplo.py" @@ -411,9 +389,7 @@ { "cell_type": "code", "execution_count": 20, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -509,9 +485,7 @@ { "cell_type": "code", "execution_count": 31, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -536,9 +510,7 @@ { "cell_type": "code", "execution_count": 34, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -556,9 +528,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "!head -n 20 'Clase 1.md'" @@ -578,9 +548,7 @@ { "cell_type": "code", "execution_count": 35, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -624,9 +592,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "!cat Clase\\ 1.ipynb" @@ -647,7 +613,6 @@ "cell_type": "code", "execution_count": 36, "metadata": { - "collapsed": false, "scrolled": true }, "outputs": [ @@ -681,9 +646,7 @@ { "cell_type": "code", "execution_count": 37, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "from IPython.display import display, HTML" @@ -692,9 +655,7 @@ { "cell_type": "code", "execution_count": 38, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -728,9 +689,7 @@ { "cell_type": "code", "execution_count": 39, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -777,9 +736,7 @@ { "cell_type": "code", "execution_count": 40, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stderr", @@ -809,9 +766,7 @@ { "cell_type": "code", "execution_count": 42, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -835,9 +790,7 @@ { "cell_type": "code", "execution_count": 43, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -854,9 +807,7 @@ { "cell_type": "code", "execution_count": 44, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -880,9 +831,7 @@ { "cell_type": "code", "execution_count": 45, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -899,9 +848,7 @@ { "cell_type": "code", "execution_count": 46, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -925,9 +872,7 @@ { "cell_type": "code", "execution_count": 47, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -953,9 +898,7 @@ { "cell_type": "code", "execution_count": 48, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -979,9 +922,7 @@ { "cell_type": "code", "execution_count": 49, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -1005,9 +946,7 @@ { "cell_type": "code", "execution_count": 50, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -1024,9 +963,7 @@ { "cell_type": "code", "execution_count": 51, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1088,9 +1025,7 @@ { "cell_type": "code", "execution_count": 54, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1170,9 +1105,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.4.2" + "version": "3.6.1" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/Clase 8.ipynb b/Clase 8.ipynb index c25e7d7..9d77876 100644 --- a/Clase 8.ipynb +++ b/Clase 8.ipynb @@ -9,14 +9,7 @@ "\n", "Ing. Martín Gaitán\n", "\n", - "- Twitter: `@tin_nqn_`\n", - "- Email: gaitan@gmail.com\n", - "\n", - "\n", - "**Anotate en las listas de correo**\n", - "\n", - "- python.org.ar (Python General -- Tod@s!)\n", - "- scipyla.org (Python Científico - en portuñol/ingles)\n" + "- Email: gaitan@gmail.com\n" ] }, { @@ -46,7 +39,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": { "collapsed": true }, @@ -57,7 +50,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": { "collapsed": true }, @@ -69,16 +62,14 @@ }, { "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": false - }, + "execution_count": 3, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXMAAAEACAYAAABBDJb9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXYAAAD8CAYAAABjAo9vAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nEruiKEoHoxK7oihKB/P/3bOl/Ela7x8AAAAASUVORK5CYII=\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -96,16 +87,22 @@ }, { "cell_type": "code", - "execution_count": 5, - "metadata": { - "collapsed": false - }, + "execution_count": 4, + "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/tin/.virtualenvs/curso/lib/python3.6/site-packages/IPython/html.py:14: ShimWarning: The `IPython.html` package has been deprecated since IPython 4.0. You should import from `notebook` instead. `IPython.html.widgets` has moved to `ipywidgets`.\n", + " \"`IPython.html.widgets` has moved to `ipywidgets`.\", ShimWarning)\n" + ] + }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeYAAAFXCAYAAAB3Be0fAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAd8AAAFJCAYAAADaPycGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nJPkKIYQQTvb/AZFKyjC8vZoHAAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -126,16 +123,14 @@ }, { "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": false - }, + "execution_count": 5, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeYAAAFXCAYAAAB3Be0fAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzsvXl4nPd92Pl5r7kv3AcJAjyHokRSB61blizLRyzbiZPY\nSRNnt02fpu22aZIn7TZttxun7VOnm2SzfbbtZjdtmqux2yS+rcS2bEvWYYkSRUokRYEXAOK+gbmP\n99g/3nmBITgAZjDvDADy93kePaSImRcz78zvex+SZVkIBAKBQCDYGcjb/QIEAoFAIBCsIhSzQCAQ\nCAQ7CKGYBQKBQCDYQQjFLBAIBALBDkIoZoFAIBAIdhBCMQsEAoFAsINQ671APB6PAf8ZuBuwgJ8f\nHBx8rd7rCgQCgUBwJ+KGx/zvgecGBwfvAk4Al1y4pkAgEAgEdyRSPQNG4vF4FDg7ODh4wL2XJBAI\nBALBnUu9oez9wGw8Hv+vwEngDPBLg4ODmbpfmUAgEAgEdyD1hrJV4H7gPw0ODt4PpIFfq/tVCQQC\ngUBwh1KvxzwGjA0ODr5R+v+/YAPFbFmWJUlSnb+yNnTDZC6RI1c0Kv5cAmJBD5GAh2a/NoFguyno\nBolMkUxexyyltWRJWvk7gE9TCPk1gl5VnBHBHUeuaDCfyFE0zIo/lyVoi/gIerWNLlPTwalLMQ8O\nDk7F4/HReDx+ZHBw8DLwDHBx3VcmSczOJuv5lTWhW5Av/V0BnNvm3CET++eL6QLL6QIeQGmg3Ono\nCDf1/e80xPvfWe/fsCBX+ruELQxUQLYsLMAAdGzBlCsaLAOeLZ6Pnfbem414/7vv/VsWFLDPANhn\no1z1Wtg6pGDB7HKORXJ4gEq2a0dHuKbfXXe7FPCLwH+Lx+Me4Brwt1y4Zl2svaEe7De69obJgFL2\n2BygWVsXPgLBbsEsU8qVzoeEfT60sscWAcT5ENwBON95C/sseKnstCnYOiSPrUMMwGfZXnQ91K2Y\nBwcH3wbeV+913MIq3SQD+4b62PgmSZJ909XS84qAbIEqhI/gNsW0IFv6uwfQNvmuy5ItbIRyFtwJ\nWGVKWSv9t1EGxzkfjoOXBfx1KufbbvKXY7XIgJ/qb45SUtBgK2hTrKkW3IbUqpQdZMk2ciVs5VwQ\n50NwG+I4dha21+qRNlbKDpIEXsk+U1C6Rh1n5LZSzGbJagFbydZap6K4eGMFgp3G2vB1tUrZYa1y\nLorzIbjNKHfsPJs8thKaZIe3TUrRpS1y2yhmx9IBWylvNYzgFMCYrCp5geB2oEBZeG6L58NRzs71\nRGRJcLtg1OnYOXhZNV6NLZ6P20YxF7CVqUp9+WGp5DXL2NaT8AoEtwOGteoJbNjUUQVyWWRJGK+C\n24Fyx26zuqTNkNakRbcSeb0tFLNu2UpUYmvhh7WU31jhFQh2O+VCZ712jlpRsYWHwda9AoFgp+Dk\nlTXcaZlVJPtaFqtnrxZ2vWJeG8J2a/5BuVdQT65AINhudFaLWdzq05dEPYbgNsHNaFI5GqvGa63s\nesXsKE23LJ1yVGwvXEd4zYLdSXlBpBvRpHIUyT4jFqszAwSC3Ub5+XBzsJ0TeVW28NxdrZgt62bF\n7DaSyKUJdjmNEjoO5edDGK+C3YZh2bVJCo2Z+ihL4NvCdXe1Yi5Xyo0a4asgcmmC3Ul5iM6NEX+V\nEMarYLdilUWTGuHY1cOuVcyN9pYdJGn1+iLXLNhNNNpbdhCFYILdiEFjveV62LWKuRnesoPwmgW7\njUaH6MopN15FrlmwGyh37NyuvXCDXamYm+UtO4hwnWC30czzAbYB4BRKigptwU6n3Fuud+FEI9iV\nirmZ3rKDItk3y0R4zYKdjVmWW27WARcpH8FuwWpgp4Jb7DrF3GxvuRzR1yzYDZTvj22W4er8Puf3\nC69ZsFMxWO3r34neMuxCxewInWZ6yw6O12wgWkMEO5Nyw7VRldjr4XjNoq9ZsJMp1yE7lV2lmLfT\nW3Yo9woEgp3GdhquILxmwc7mpjTPDvWWYZcpZhPbGlfYHqEDQvAIdi7b6S07yGVr78xteg0CwXqU\np3l2MrtKMe+EEIRUNoZwKzNQBYJGsVNyZ6IITLATsSyhmF3HuakS2/+iRThbsBPZKULHqQYXtRiC\nnUS54bpdEddq2W4dVzXbVWlaCVEEJthplOfOtnuKkWidEuxEdorhWg27SjFblkWxaJDIFSka25vB\nEl6zYCehA4ZpIRkmumlimCaGaWFtUyGEs1HHQNRiCLYfx3CVLAvdsHVIYZt1yEbseOPBtCxSeZ3l\ngk6uoGOUnXKPIhPQFIIelaBHRW6iK61iN6nrgGZtvxcvuHMp6CbTmTzp/K3+qSJJdAS9RH0aUhO/\npJIEain9tHPFn+BOIK8bLOV1skWdgm7cFOX0qQoRr0rYq6EpO8dP3dGKOV3QGU9kMUvKWJEkoj4N\njyKTKRpkCjpLhslSrohXkdkTDeBp0s0tFzwGO/xGCm5LDNNiIZNnIVvAAjRFxq/KWNheqgVkizpT\nqRyLuQJdIR8BrXnfVBX7fIiokmC7WMoWmE7lcHSxpsiEVQWPKpMu6GSKBjndYCadJ+RR6Qn7UXZA\nH9WO1SdLuQJTyRwSEPZ78HtUYqqCXLppbdih7axusJwrspwrMrKYZk/ET8DTnLdVLnh27I0U3JYk\nckWmUzkMy0KRJaIBLy1eDW2NUCkaJrPpPIl8kRtLGSJelc6QD1VuvAErUz4/W8SzBc3DtCymUzmW\nc0VkSaIl6CPkUQiUOW5tAS+6aZLM6yznCqQKOjeW0vRFA6jb7D3vOH1iWRZzmTzzmQKyJNET8SNr\nasUWEEmSCGgqAU3FpypMp3LcWM7QHfIR8zd+CqojeJw8mghnC5pBMl9kIplFlqA94MXn9yBJUsXD\nrCkyvRE/LUWN6VSORF4nr2fYFws23DOQJFBKUaVsQfjNguZQNEzGExlyuolXlWkPB5AVGW+Fx6qy\nTIvfQ8xnn4+lXJHhknL2qkqFZzSHnRNUx7ZyJpNZ5jMFNFliIBZAK4XeNrMgWvwe+qIBFEliKpWz\nwxcNttLFujtBs8kUdCYSWSSgLxqkJeBdUcobGYZ+TaU/FiTm08iXBFczvFjn3KZy4oQIGk9eNxhe\nTJPTTSJejX3RILIib9pmK0kSXSEf7QEvumlxYylDtrh939kdo5itklJO5HX8qkJ/SxBNUexKOqp7\noUGPSn9LEI8is5gtsJBt/JJGx6YSYkfQaHK6wVgigwXsjQbwa0pNLSCO8Al6VDJFg8lk441XJ6qU\nzeuiOlvQUEzLYjyRxbAsOkM+esI+rJK1Wk2brSRJtAe9dId8GJatnDPbpJx3jGJezhVJlpRyXyyA\nKstb6l32KDL7YrbnPJvOky02dj6XXLYOUggeQaMoGCajyxlMC3rDfoIedUtDdyRJYk/Ej0+VSeSL\nzGXyDXzVYlKeoDlYlsVUMkfBMGnxe2gtpXccHVJLUDrm97An4scCJhJZjG0YVrEjFHNBN5hO5ZAl\n6I34V9qenINcayJcle28GsBEsvE3VnjNgkZimBajyxkM06Iz6CXisxMozvmodXa8LEnsjQbQZIn5\nTIGlBkeWRM+/oNEs54ok8kV8qkJn0M4mW07vMrUrurBXoy3gQTftIrJms+2K2bIsJpJZLKA75F/p\nJbvppm6hRiXoUWn1eygaZsNvrCN4hEcgaASz6RxFw6TV76E1sFrCUs8kI1WWb6rJyOuN+/bKEnhU\nWQwbETSEXJljtyfiX+nXL3fstlKY2x7wrkSWEhVmBDSSbVfMc5n8SqLe8QRg695yOR1BLz5VIZEv\nspxrnFcgSzdXZwsEbpEt6izlingUmY7gqlKuxxtw8KgKPWEfQMOLJYOlsy28ZoGbmJbFRMJ27HrC\n/puGhJRHlLaCJEn0hP1IwHQyh97ESWHbqpgzBX2lArsr5LvpZ1vJDaxFkqRSaBw7/9BAr0B4zQK3\nsSyLqVK0pzvku2lyV73egEPIqxEqFYMl841Tm0GvfUKEYha4yXRZXjnsXXXs3Fp65FUVOkvFYJNN\n6PRx2DbFbJZC2AA9kZunrbjhDTh4FJnukJ3In2rgjRV5NIHbLGYL5EvRpLVDc9wcyN8Z8iEBM+lc\nw+oxVEVeKZIUi18EbpAtGizni3hVeSWv7OD4trXWX1Qi5tMIagrpgh29agbbppgXMgV006LN77ll\nTOBWi1rWI+LTVlpEMg2q0pYQ4WyBexQNk7lMHlmCztDNQqfe+ou1eBS5NAXJYr6BVdoiqiRwC8uy\nmE3b0aTOoO+WOfBuGq6SJNEdtiOvM6kcutn4kPa2KGbDtFjI5lEk6aZilpWfl/50cyyZk5+bSTfG\na3baQkAIHkH9zKRzmJYtdNaOz2zE+WgNeNBkiYVsoWGFYOUbpwSCenCcrGBpiVE5Thgb3FNwmiLT\nHvRhYTuVjWZbFPNCJo9p2cJg7VhAxxsAd1+cs0Ukr5sNy6WJtimBG6QLOsm8jk9ViJYVRDrUW9RS\nCVlarfNoVCGYKJIUuIFlWcyUvOWONbVJsBrGrrf+Yi0xn4YqSyxmCw33mpuumHXTZCFbQJUlWirM\nszaxhxG4fVMB2oP2hzibyTdG8CAEj6A+LMtiZp2CL/vnjTFcoTmFYCKqJKgXe967XXvhqzDP2o3C\n4UrIkkRbwIsFzDfYa266Yp7P2Cvq2gLeivuTG+ENOHgUmZhPo2iYLDcgiS9JIlwnqI90QSdvlISO\nduspcAxXt+ov1tJZ8kDmGmS8ivMhqAfTsphL21sH24O3pkHLDddG6JCYz97gtpQtUGxg+1RTFXOu\nqLOUtdujYhVCdOW5gUbt9WgPeJGwBY/ZAMEjPAJBPTiWeGug8na0RuSXy/EoMhGvRsEwSTdgI5Qj\ncERUSbAVlrIFiqZFzO/BU2E1YyMjrmAXgrUFHa+5cYWSTVXMo7NJLGxLZ22IDuwb2khvAOy2jVa/\nPWptsQGjCIXgEWyVTFEnqxsEPWrFEB001htwcIyCRoTrnKiSc9YFgmoxTKu0DhjaNzFcG3k+ol4N\nTZFZyhUpNMhrbqpinlrKrFjklXCzxH0jWgNeZMm2eNzu2xSCR7BVHEXYto7QsSzbI5Bp7O5vn2pX\numZ1oyHbdUTPv2ArLOUKGJZFq9+LIldWXc1QzJIk0V7qJmqU19z0HPN63jI056YCKLJEq9+LadGQ\nUZ1C8AhqJacbpAv2drW1ff0OjU7zlNNWKsxsRGuIyDMLasWy7AinBBWLhu3HNMdwBYh4VTyKzHKu\n2JCJkq4o5ng8rsTj8bPxePzrGz1uoDNC2FNZ6DTzpgLE/BoSsJQrul7kIgSPoFYWNvGWofH55XL8\nmoJPVUgVdNf7miWxKlVQI6mCjm5aRH3aLS22Ds1y7OBmr3mhgSnRevkl4F02id72tYe33Vt2UGWZ\ncKnIxe1pYELwCGqhYJgk8kW8inzLsASH8mlfTbBb7SKXkpHQCMEjev4FteB8B9fzlqH5OiTsVVFl\nieVc0fWUaN2KOR6P7wU+Bvxn6pAZzb6psPohN1LwCK9ZsBkLpTxVa2D9NI+bs3+rJeRR0RSZRK7o\nemuI6F4QVEtON8gWDQKagnedoshG9vevhyRJxHweLHB9LaQb7+F3gX/Cquyome24qbAarksXdNer\n64RiFlSDbto99ZosEfGuH6RuVmFkOZIk0ea3BY/bHQxitrygWpzvXusG3nIzOnoqEfPbhcyL2YKr\nKdG6znk8Hv84MDM4OHg2Ho8/tdnjXx4cJ1N2wCWgI+SnOxzAkqSm31SAFr/GZNJgKVtYGa7gBuVt\nUwLBeiznipiWhU9VGF9Os5gtsJi1e+w7gn46Qz7aAj6M0sFodrVmxKcxm86zlCvQHqw8FGgrSBIo\npbkFJs2NlAl2D4ZpksgVUSSYT+e4MLWALEloiowmy2iKTIvfSzToA0lqquEKTkpUJZnXba9+nVRU\nrUj1aPl4PP5vgZ/DPl8+IAL85eDg4P9U6fH/6fm3K/6ysM/DvrYIJ/raaHFROVaDaVqcvjKFZVk8\neKR73TL8rTCznCWT19nTGkRTt3X1tWAHYpom33p7hNHFJPoGOSpFlmgJ+Di2p417+tqa+AptRmYT\n3JhNcrg3Rncs6Np1s3md6eUsEb9Ga7i5516wO7hwY44LY/Mk8xtP2moL+jjU1cK9A+2uyvBqWErn\nOT8yR0fEz9G9res9rCaLti7FXE48Hn8S+MeDg4OfWO8x86mstbCQXvl/3bQYWkhyYzGJadlTh450\nRIl3xlyzzKthNp1jPlOgO+QjtkG4pFaKFhQAD6BJ0NERZnY26dr1dxvi/a++/1S+yOkbM8xn7C1r\nvdEALX4vMb93pfZhNp1jJpVlOpklWcphxTui3N3dum5laiMoGibXFlL4VYX+lq0p5kqfvWVBBjsK\n4G9ypKzZiO9+be8/rxu8PjLDdCoL2L31A61h+ltCKLJE0TApGiZ53WRkMclEImP/npCPe7pbV/Yi\nNAPLshhaTFMwTA61hW7ZBgfQ0RGu6Rvutue/oZZvC/kxszfXYbYFfBzsamFkPsHIfIILU4ssZPI8\n1N9Z8Q02gpjPw3ymwGK2QNSnrVuAUyvleebKI1UEdxqmZXFldpmLU4sYlkXY6+FUX3tFQbInGmRP\nNEjOgvlMjrdvzDA4u8xUMstD/Z1Efe4ZkRuhKTIBTSFTNCjoBp51CnBqRZJAtla7F5qdxhLsTBK5\nAi8PTZEu6AQ9Gv0tIe7qWt9Z644Gmc7kuDq9yEwyy/evTnC0M8Y93S2uyfKNkCR7IdN0KsdStlhx\nhnetuKb5BgcHXxwcHPxkrc8zAa+mcqy7lWfv2kdnyM9EIsMPrk02bC/sWjRFJuxRyRsmWRdbp8Sa\nO0E5umHy0vUp3plcQJUl9rWEOdQeoa3CTnIHpzCyJeDjw0f2sr81zHKuwPOXx7k2l2jaa4+VjAC3\nl7+IIklBOVOJDN+9Mk66oNMbDbK/LcKh9siGEVQDiAV8PL6/hw8c6iXkUXlvZolzE/MNWcRSiYjX\nmYvhThHYtic+y9ukNEXmif3d7IuFmM/k+f7VCdIF97dAVcIJHy66PAnMETyN3d4p2OmYlsV3Loww\nk8rSEw7w8EAX0VLoeiOrvrxNSlVkTvV18OhAF6os8db4HNfmm6OcQ14VWYLlvLsDeYRiFoAdDr4y\nu8xLQ1OYFjywt522oJ+AR123RcqhvKOnPejjqUO9RHwaV+cSnBmba4pyVmSJqE9DNy1SLix/2VGK\nGUCWJR7c18GRjijJfJHvXZlguQF9xmvxawqaIpPK6642iwvBI7AsizOjswzNJugM+XhkoJNM0Va5\n0Qpb1sqp1N+/Jxrkg4f34FFk3hqbY7KUX2sksiQR8dqCx82tU6J7QQBwZW6ZcxPzeFWFpw72EPHZ\nUaToOnsVHEzr1jYpv6by1MFeYn4PQwtJTt+YbcgmwbU49UlLLkSVtlUxrzeGU5IkTva2cbK3jZxu\n8PLQVEPmkZYjSRJRr4YFpFz00oVivrOxLIt3JhcYXkzRGfHz6EA3ummR0w2CJWNwI9YbvBPyajy+\nvxtFkvjhyPTKkJJGEm1AOLt86YvLw5MEu4SZZJa3JxbwqQrPHN5Da8BLIl9EAsKbKOb1zoet4Htp\nC3i5sZTi9ZGZhnvOPnV1Lka9A3m2VTFvNu3rSEeUY10xMkWd06OzDb+xkZL30gjBY2LnGAV3Fu/N\nLHF5dpmwV+PZew+srIsDiG7SAeAYrhKVC6Pagj4e6u/EMC27WMbl6UNr8akyXkUmWdDRTfe+y8J4\nvXPJFHR+ODKNJMEjA10EPCp53aRgmIS86qbdBxvpEE2Ref+BHtqDPsaW01xpQk2GEwFL1nkWd7Ri\nBjjW1UJnyM9kIsPl2eWGvh6PIuNT7epTN5Wo8/5yLs/kFuxsxpfTXJhaJKCpvP9AD36PimVZpYEJ\nEqFNhhGU55fXY080yH172sjrBi81OLIkSdKK4Em4aLwKxXxnYpgmrw5PUzBM7utd7UxYLim19dYD\nO5TPj19Pf6uKzCP9nXhVhXcm51lscGQpXJreV++Izm1TzNWO4ZQkiYf2deBTFc5PLjCXzjX0da0I\nHhe9D+f95QpC9Nwp5HWDM2NzyJLE4we6VyYCJQs6hmUR8Wmb9upXOz/+UHt0pSbjzbHZ+l/8BpRH\nldyKYDnjOcXSlzsHy7J4a2yOxWyegZYQB9rCK//upuEK4NNUHuzrwLLgtRszDY1cqrK9iCanm3UZ\nydunmKl+tqlPU3m4vxMLeG1kuqFtVG5ZPOWsKOYGLJ0X7EzOjs+R1w3u6W65qd/YSZPENin6gtoW\nu5zosYcqjC9nGFtKb/6ELaLKq62Fed0dAedsY3NkguD25/p8kuHFFC1+L/fvbV/pTEgXjVJ/v7pp\nD3It56M7EuBIR5RUvsjZ8bn6XvwmRFZ0yNbl/bYp5lq3SXWE/BzvbiVbNBqayC+3eNwyAJw8s25Y\nosDlDmBsKc3oUprWgJcjHdGVfy8aJumCjleVN20BqXU/uSRJnNrbjixJnB2fa2hI24kqLbnYWijC\n2XcO6UKRcxPzeBSZRwe6bhqhmSh9pzbrVoBVj7laJXa8u5UWv4fhxRQ3FlM1vurqCXnsnuZEHa2F\nu0YxA8Q7o3SH/Uynsow08MY6Jfpues2in/nOIK8bvDU+iyxJvK+v4yarfz5pjxfcLHcGWzsfYZ+H\nY10xcrrBO5MLNTyzNoIeFUWSSBZ01wxkoZjvHM6Nz2NaFvfuabtp6YNhWiTzOlqp1mcjqskvr0WW\nJR7q70KRJc6MzTasWFKRJUJelUIdUaVtUcxbXfouSRIP7O1AkSTOTy64viPWIeRVbYvHxTya6Ne8\nM3hrbI68bnJPdwuRNSMz5xK2Yt6sBQS2vp883hkj6rP7N2dKhoDbSJIteAzTcm1SnpiSd2cwmcgw\nkcjQHvSxLxa66WepQhEL2zHaLIxdbX55LWGvxv172tFNi3MT8zU+u3oidTp326OYy355raNMAx6V\neKftFVyaXnT7pdmvS5IIezWKpkXWpZCg816FYr59GVtKMbacpm1NCBtsb2Aplceryng26V2G2sN0\nDrIkcaqvA4A3x2ZdbWsqxzEuki4OGxFRpdsbwzQ5Oz6HBNy/p/0W5evUX0Rcrr9YS39LiPagj4lE\nhplUY4zXoMeelLfVcPa2KOZ6birYIe2ApnJlbplUg8IREZfbQiQJfJoiBincpthCZ75iCBsgWfIG\nqglj15pfXouT204XdC5ONcZ4DWoKsiSRdHFEpwhn394Mzi6TLugcao/e0sNfNEwyRQOfqjTUcIXV\nAVYAb483Zp6249zpW4wq7UrFrMoyJ3pbMS0aFo4IaoqdR8u7l0fzlfIpwiO4/bg6lyCnGxzpiBKu\nsPUpWTLwGhnGLufu7haCHpXLs8skXZ7/DrZwC3tVW/C4FFUSivn2JZHNc2l6CZ+qcHd3yy0/dwZy\nVFP0tZX88lpaA176W0Is5QoMLzRmHWc94eymK+abphnVcZ290SAdQR+TiQxTDZgVLEkSEZ+GYVmk\nXcqj+TRb9AjBc3tRMAwuzSyhKTLxzugtPzdM+zsU8mlVeQNuKGZVljnRY3sFFxuU8lkJZ9fRFlKO\n0zYl+plvP165PIFpWZzoba04htZJiYQ36V2GreeX13JPdyuKJHFharEhvc0BTUGVpV2imEv/bTVM\n5yBJEvfusQXPuYn5hgwpd74kboXLPap9u4Vivr0YnFmmaJgc7YzhUW4VF4430B7xV3W9agbvVMOe\naICY38PoUpqlrPsTj+xwNq6Gs533LKJKtw9TyQxDs4mKBV8Aummv2/WrCmqTDFdw6pWi5HSD92aW\n6rzarUilcPZWUpdNV8xu3VSAmN/LwbYIyXyRqw2Yg+p3OZwtSZIY2H+bkS3qXJldxqcqHGqPVHxM\nLYrZqrAtZ6tIksQ93a0ADck1S5JE2KOJcLZgXSzLWvnu3benrWK1daoUcQl5N/eWob788lriHTF8\nqsLg7DIZFwsZHWI+bUuR4V2tmMHOpamyxHszSxguV6CutIVYQvAIKnNpegnDskrfw1uPkxPG9qoy\n/irCdG55yw7dYT9tAS8TiQwLGffH2TqT8twKZ4vzcXsxk8qykMmzvyNKzO+t+JiVMHaVhZH15pfL\nURWZ4z2tmJbF+Qb0/ntVhSPt4Zqf11TFbFnWirXjwj0F7Dd+qD1KXjcYakASfzWc7Y7gEaG624dU\nvsj1+QQhj8ZAa+XDl6xyIL+D24arJEkc77G95guT7nvNTluIW+FsSRJzs28Xyr3lU/s7Kz7GMC0y\nBR2vUlsboVvnA+z2qZjfw42l1MrkMTfZrCe7Ek1VzLphuRamK+dwexRFkhicWXY91xzw2MNG3BI8\nYtDI7cOFqQUs4J6elnUXUjiKuRpvANwN0zl0hPx0huyJebMu921KkkSoFM7OuRxVEsbr7mY2nWM+\nk6cnEqAjEqj4mHRBx6L6MLbbhivY3+G7Ou1K8cEGbzCslqYqZmftoZs3Fexq5/1tYTJF3fVRnXJp\ny0nRtCi4ULknFsPfHixl84wupWnxe9gbDVZ8jGGapIsGviqHitTbv7wRx3tswXN+csH1vk03hvaX\nIxTz7cG7pW6AY12xdR+TLGy/4Qp2oWTYqzGymGxIrrlWmqyY7TfstmIGO4kvSfDe9JLrgifkcluI\nyKPtfhzL+u7u1pVQVdEwWcrkSeeL5HVjpU2iWqHTCG/AoTXgozcSYD6TZ8rlUZ0Bl8PZIqq0+5lN\nZZlN5egO+2kN+Fb+3bLs0PXUcpq5VJZUvogmS3irNFzdzC+XI0kS8Y4olgVX5rbfa64ufuASzj5i\nl+8pYAuHgZYwQwtJxpbS9LXcWpa/VUIru3SLtAcrFzDUgsgz724yBZ3RxRQRr0ZIU3lzeIZLU4tc\nm12+ZX67Iksc7Ihyqr+Tx1sre9YOjfIGHO7ubmEikWFwZomedUKLW0EuhbMT+SJ53Vzp19/69UCy\nVudmux09EDSeS9N2+1G8I8pbN2Z5780rTC+lWc4WbjojPk2hNxZiojNKf1uYvpbQujnZRuSXy+lv\nCXNxepEoBxkDAAAgAElEQVRr8wnu6ozh2WSRRiNpqmI2TMv1/HI5RztjDC0kuTSzxN5YcEtJ90oo\nskRQU0gXDYqGWbFBvhaER7C7uTq3TDJbYHw+yUvvja/Mfu8I++mNBtBNi6JhksgVyBUNLk8vcXl6\nia++PcTx3lbeN9BFd/RWxdhIjxns9sKuUq55MZOnJVC/kekQ8qgk8kVSBb1uxQz2GTGwUz5CL+8u\n5tM5xpfT5PI6f/DKpZWpdwGPSnvIR9TvJeL3sJDOMbGU5vrsMtdLEah9rSE+dnygomPVaMUsyxJH\nOqK8PbHA1bkExypMKGsWTVXM0LibCnbIeV8sxI2lFJOJDL3r5P62eu100SCZL9Jap0CTJFCER7Ar\nSeQKfO/SGLPJLBIw0BbmaE8rR7tjtIdW+5TTBZ3R5Qwtfg+WYfDWjTnemZjntaFpTg9P89SRPTwV\n34tSisk1Mr9czuGOKNOpLFfmlnlwX+VK2a0QdLoXXIoqKdjnw2Abd9MKakY3Tb587jojcwlMy+6a\neexgDx9/30HM3Goq0LIsrs6nsCyLjoCHG4spzo/Nc2lqkd978QIn97bz4WN9xMpkrduthJU40Brh\n3eklrswtc6QjWtXAk0bQdMXc6Ld5tDPGjaUUl0rhOre85rBHZRpIFfS6FTOsegQG2/AhCGrGsiwu\nTizwlXPXyRYNYgEPP33qMH3rtEmlSgUkIY9K0OPjY8eD/OxTx3j5/CjPnR/me4PjXJlZ5tMPHKIt\n5Gt4GNuhO+wn7NW4sZTieE8rfs2db58iSwQ0hUzRQDfMugVaeR1GdRl6wXaznC3wp68PMrGUxqsp\nPB3fy6n+DnyaSlvYz2xutZ01WzQwLIuYT6Ml6KMl6OPk3naG5hI8d36Et8fmuDgxz1PxvTx1pBeQ\nGpZfLkdVZA6328p5aCHJ4Y5bR+w2g6aaA7Ggp+G/MOr30BsJsJDJM5d2b6CCWlrenSkarqzSEwVg\nuwfdNPnzM1f5whtXyOkGvS0h/sFTx9dVypZlkcoXkSV7Xq6DKsvc3dvKP/zACU7ubWN0McV/+P47\nvDkyg14qmmp0VkuSJA6320Uu11yelhda8ZrrL5J0ZK+ow9gdXJ9d5j++cJ6JpTSxoJfPPnSExw/1\n4FvH8HOGioTWFEbub4/w95+6h5+8/yB+j8rzl0b5i7euUSzJ3GYorEPtURRZYnB2qSGjnquhyYrZ\n25SwrbML99q8u4LHmXLkhuARBWC7g6Jh8mevX+btsXm6In7ie1p5+GAXAc/6flzBMCmaFkGPWjFi\n4/eofObUYT7zwCFkSeLLZ6/zV+eHsSyrKQeyvzWER5G5Np9wdVqeq4pZtBXuCizL4gdXJviDVy6R\nLej0tYc52tvCQFvl8bTOcxzDNVihHkGWJO7b18EvfuAEfS0hzo3O8SevDZIv6g03XMEOvx9oDZMt\nGoy63H5bLU1VzFNL6ab8nvagj4hPY2w5vdKi5QZuTgETm3R2Pnnd4I9/+B6D00sc7oxydE8rPk1d\nMfzWozyMvREn+9r5xadP0BUJ8MbQNN+9MIJE478MqixzoC1CwTBd7fv3lHbppgu6K56G6Gfe2ViW\nxXPnR/jWxRuEfBofPb6PtrCfg+3RdQfuwOaGq0PQq/Hzj93F0e4Wrs8u86evvEu6AZO5KuGEsK+6\n7NxVS1MV86//+au8O+H+PNK1SJLEwbYIloWrYzodwZMpuiN4hNe8c8kVdf7w1Utcn0twV08LHz3e\nz3KuSG8kQNh7677lchzDLVjFbOxYwMv//OhdtIf9nL4+xbfevdGQxe1rOdQeQcLu2XTz9wU9KhaQ\ncWFVquhe2Nm8cHmCV69P0Rn28w+ePE6yoCNLcGCdFI+DY7hWcz48qsLPPHiE+wY6mV7O8Ps/uMC8\niynK9Qh6NHrCdkq0EZvZNqOpillTZf7HmatNCQ/0t4RRZYlr8wlX8wRBj4pp2cUL9SLyzDuTbEHn\nv7xyiRsLKU7saeNvvO8w1+dtA28zb1k3TbJ6aYVdhaUWlQh4NX7m0btoC/p46cokz18aq/s9bIZf\nU+mLhUjkiky7OKYz5OKqVKGYdy6nh6d5/tIoMb+Hv/noUTK6TjJfZG8stG5e2SFdZUTJQZYkPnpi\nP08e3ctStsCf/PA9sk2YznWwtC3O7VqMamiqYv47T59AN0z+5LVBFhps9WiKTH+LnSeYTGRcu67z\nZUqLPPNtiWlZ/I8zV5lYSvPAvg4+feoQBcNkYjlNzOehPejb8PkrQqfK2b9gK56Qz8PPP3aM1qCX\nFy6P8733Gq+cnXDdFRfnAwdKO5pThfpXpTrpHguR7tlJXBif52vnhgh4VP7WY3cR9XtX1u4e2iC3\nDKWlFaUxtdUargZ2FPSp+F4eP9TDbCrHF9+4gtHg4oPusJ+ApjKylLplcFCjaapiPtnfwcdPDJDO\nF/njJlg9jsXj5q5mv6Yg4VIBWGmTjtPPLNh+vntpjMulnPKP3XcAWZIYXkhiAQfaIpu231WbX3Zw\n+pcl7I6Cv/3YMVoCXr773hgXG5z2aQ14aQ/6mEpmXfFwwRagQY+K7tJseRFV2llcm13mf5y5iqbK\n/M1Hj9Ie8pMuFJlIZGjxe2nbxHDNFKsPYzuUDxb5yN37iHfFuDq7zHPnh7f2JqpEkiQOtIUxTIuR\nRfc3F25E07unHz7QzWMHbavnv52+jN5ASyTq89AR9DGTypJ0qWhAliQCHpWCYboieJwPQOjl7efd\niQVeuDxOS8DLZ04dRpYkLMtiaCGJIkvs22TMq2VZpAs6mixVtbQCSt4gq4NFYgEvP/dwHE2R+cu3\nrjU8n3agzc4HulmL4WZ1tigA2zksZvL82enLAHz2oTh7YvZ5cEK9h9o39pahdsMVbh4sIksSP3Xq\nMF2RAK8NTfPa9anq38AW2N8aRsLu8GlG7YfDtow1+eg9+7i7p5WhuQTfbLDVs5IncLG6zs1wtvAI\ndgazySx/8dY1NEXmZx86QqD0Gc+ksqQLOn3R4KajWDNFA9OyezOrHWxTaQxnVyTAj57cT143+MLp\nyw0No+2NBtFkmeGFpGu1GCEXuxdEnnlnYJgWf/7mVXJFg0+e2M/BUhrEME2GFpJ4FJm+2MaTFh3D\nVZEkfFXOoa40Ec+rKfzcw3GCXo1vnh/m6sxSHe9sY3yayp5okESuyHy6eUVg26KYZUni06cO0RUJ\ncHp4hvem3F/g7rAnGsSnKgwvpFzzzoMNUMzCI9g+ckWdP319kLxu8Kn7DtBTNsrVKfo6sEnuDLbm\nDaw38eu+fR2c6u9kcjnTUONVkWX2tYTI6QZTLtViKLKMX1XI6vUP4xFthTuD7w+OMbKQ5PieNh7o\n71j599GlNAXD5EBbBGWTnHHeMNFNi6BHqdpwXe98tAS8/OyDR5AkiS++cZVEA9uoGuHcbca2jaHV\nFJnPPHAQRbYHLKRdynGtRS7lCYqmyY0ld6rBPYrsWr+m8/UUHsH2YFkWXz57nblUjscO9nByb/vK\nz/K6wXgiTcSnVTWGNVVqFwnUsMRho1GcHz8xQHckwBvDM5wbnav6mrWyv7UB4WyvKJK8XRiaS/DC\n4Dgxv4cfPbn/JqXqfGeclMhGpFfapKofsrrR4or+tjAfu6efbFHnK2evNyzU3BH0EfZqjC2nyOvN\nkdTbOh++OxrkQ3f1kcoX+fK5xt1Yx9txU/A4/Zr1tk2VTzgSHkHzuTCxwIWJBfrbwnzk7n03/Wx4\nIYll2YPtN7PwC4ZJ0TAJaBsPTShns8UVmiLzNx48jFdV+Oq568y4vEfZoSXgJeb3MJnIkHVpII/I\nM98eZAo6f37mKpIEnzl1GH9ZNCiVLzKXztEZ8lWlbFf7l6s3XDdbXPHg/i4OdkQYnF7irRuzVV+3\nFpy5GKbLczE2YtsXtzx2qIf9bWEuTS5ytkE31q+pdIf9LGTyroU83BQ8Io+2PaTzRb7+9hCqLPHj\n9x1Y2fQErBR9yZJEfxW7vdM1DE1wqGaNXXvIz6fuO0DBMPnSW9caNrv3QGsECxhZcC+qpMoS6YJR\nt8Etzsf2YFkWXzl7neVsgaeP7qV/jVc8XFJSAy2be8u6YZItGvhq6O+3Shv4NlpcIUsSP37fQbyq\nwjfPj7CUaUweuL81hCJJXG9SEdi2K2ZZkviJBw7hVRW+cX6kYf3NA6Vw3bBLFo/TNiUKwHYv3zw/\nQrqg88xdfTetbASYS+fsgQnRYFUL07eimKtdY3d8TxvH97Qyupji9NB01devhb6WIIokMbTgjuBx\n2qZMyyKn15lnLv0pPObmcvbGLBcnF9jfFubJI3tu+pllWQwvJlFliT2bFH0BLJYKp2qpv3C+hZud\nj1jAy8eO95PXDb7UoJC2R1HYGwuSLuiuLkdaj21XzGCH0j5xYoC8bvCXDfIKeiMBNEVmZDHlygcn\nlwSPG21TIofWfN6bWuTtsTn2xII8erDnlp9fryF3ZlkWmWJtbVJQ2+L3Z48P4FMVvv3uKIms+4Uu\njuBJuSh4gpo7eWax0KL5ZApF/uriDTyKzE+Wlq2UM5PKki0a9MVCVXnAi0n7O7UVw7Wa8/HAvg6O\ndMW4NrvM6eHGGK+Oc+fmfPn12BGKGeDevnbu7mlleD7JmRH3Q9qKbJfz53SDaZdydW5VZ4vK0+aS\nK+p87e0hFEniJ+4/eFMIG6CgG4wtpQl5tU0nfQFkdbtNqhahUx6mqyYlHfZ5+Mjd+8jrBt9oUJW2\nUwR23aWokpNLTLuQtxbGa3P59rujZAo6Hzy6l1iFwkcn1zqwyVxssA3XhVSu1CZVu+FazTMkSeJT\n9x7Aryn81YUbDen/7wj68GsKo0spV7eyVWLHKGZJknj2xAAeRebb795oyFQwJxcy7NIUl0bkmYXg\naTx/ffEGy9kCTx7ppSsSuOXno0tpTMviQGu4qkKurYSxqw3TlXNqoJP+1jAXJxa4NOl+i2F70EfI\nozG2lKZguDALXpbxqTLZolF3q6JI9zSP0YUkbw7P0Bn288jB7lt+XjAMxpczhLwabVV0K+R1uzBy\ns21Sa6k21eMQ8Xv4+In9FA2T586PVP17qkWSJPpbwuimxfiye2OeK1G3Yo7H433xePz78Xj8Yjwe\nvxCPx//RVq8V9Xt4Kr6HTEHnuw2YFdwa8BL2aowvZ1wRPFqpbSrjQtuUEDzNYXguwRvDM3RF/DwZ\n31PxMc74vc0mfTk4ijmwyfD+cmoJ0znIksSP3rsfRZL4+jtDrrduSJLE/rYwpmVxw6VwnWOsLNdZ\nlCMM1+ZgWhZffXsIC/jRk/sr9iY7hutAS6gqRbuV/n7LunkiXrWc3NvG/rYw700tcmXa/cEjAyWZ\n0OgRnW54zEXgVwYHB+8GHgb+QTwev2urF3vsYA9tQR+vD00x7eLyCXAsnhCmZTHm0m7okEttU0Lw\nNB7TsvjmBduS/rF7D1TMjaXyReYzebpCfvxVKFrdNMnpJn5NuSUkvuFrKf1Z6wHsigR44nAvy9kC\nz18arfHZm9O/InhcUsyle7iYqk8xi3RPc3h9aJrJ5Qz39bUzsM6IzeEawtiwOh87sIU2qVoMV7Bl\n/MeODyAB37ww4nrIOezz0BrwMpXMutZaWIm6FfPg4ODU4ODgudLfU8AloHer11MVmWeP92Na8PV3\nhl2vsOtvcbc6O+BWnrn0n1DMjePt0TkmltKc3NvGvnWEijOEplpvOVOwRUiwBm8Zag/TlfNUfA9t\nQR8/vDbFjMvGq19T6QrZrYVuLLbwl7ZNLbqQ8xPGa2NJ5go8/+4oPk3ho2t6+h0SuQILmTxd4eoM\nV9Oyt0mFfFrVbVKwdcMVoDcW5NRAJ7PJLK83oIvBMV7diipVwtUcczweHwDuA16v6zrdLcS7YgzN\nJbjg8oadgMcWPPOZPMl8/dWtAadtqk7rqXzFnag8dZ+CbvDtd0dRZYkPHassdCzLYmQxhSJJ7Ilu\n3gICq597rYVfWwnTOWiKzI/c048FfOtd973mfS4KHkmSCGgquYJRd/eCGDTSWP76wg1yusGHj/UR\n8nkqPsZxaPZX0bsM9oASgFhw81x0ObV0LFTiQ3f14dMUvvvemOtTJffFQkiSXavUqJ7m2sz8DYjH\n4yHgL4BfKnnOdfHs8QGuzr7NX10YId4Vq6qXtFoGWsNMp7IML6Q43tNa17VkScKvKWSK9lzgWqzC\nW66F7Uk506AE7vHKtUkSObvgq6WsYMWyLMbmk4zOJ5lcTnN+fB5NkhgdXaA15KOnJUh3LERPS5DW\nkO+mnNrNQ/kb0ya1Hke7YwyUcmlDcwn2V7HZp1r2RIOcGZtjZCnFXV2xmgp2KhH0qKQKOumCjsdf\nWeBXQ/mgkeqHOgqqYXwpxbmxOXqjQd430HXTz/JFndH5JCOzCV4cHKdoGCTn0wS8Kj5NJejTiPe2\n0td2a7FkupTiiwW96NnqFGStHQuVCHo1Pnh0L988P8Lz743xoyf3b+1CFfCoCr2RAOPLGZZzBWL+\n2oyOanBFMcfjcQ34S+BPBwcHv7LRYzs6qrO0OjrCfPjEAH91bog3x+f40VOHXHilNrHWIGfH5xhd\nTvPU8X239OjVSk6C4ZkEik+jI3prlW85G73/XEFnaimL16/RGt68TWc3Uu3n7yZLmTwvXZkk7Pfw\n44/E8Sgy50dmeeXdMV69NMZEldOu2sJ+nrl3gA/fv58D3S2kc0X0uSQdET+dndUpxo6OMEvpPLl0\ngZaoj4B36yrmbzx+F5//6mmeHxzj144+WPf3uJwDs1GuTi+BT6WjQuV6LYQKOtNXc+hSfZ+/ZVmM\nztu1IR3t1aUadhLb8d2vlj99w17n+NOPHaWrM8LUYopvvnGVF8/fYGw+eUte/9r4rV0BbWE/Dxzq\n5tThHh6K9xIJeLmRyCBLEA14kUPVybSibpJZsBV/R9S/+RPW4dm2IGdG53hjeJqP3refvVXMJKiW\nE5bJ+DvDTGfzHN7XvvkTakSq1xWPx+MS8EfA/ODg4K9s8nBrdrb63G5BN/id75yjoBv86ofvI1SH\nEFvLm6OzDC0kefJAD53hrX/4YBd+jSylifo0eja4VkdHmI3ev2VBBtsz8LsnY3cMm73/RvGls9c4\nMzLLj9yzj+m5FM+9dX1lP7ffo3LvQCfx3lauLSbwaCofuauPkFdjLpllainN5GKaycUU52/MrYTF\nBjoinDrUQ7y/g/7WELF1Qn/lOO8/V/IIAmzdI3D44huXOT++wE+dOsSJve4JiInlNK8MT3O4PcK9\ne+q/7vBSmoJucLiCV1ULzr3zs/6Yxp3Idn33q+Ha7DJ/8MolDrRHONHdwvPvjHBueAYL8GkKB7pi\n7GuPYCkSugSPHewmpGnkijq5gsFCOseFG7O8MzK7MvzGqyl86EQ/x/Z30xXxc//h7qrff9GCAuAB\ntDo/4yvTS/zhD9/jQHuEn3/srrqjPw6mafH1d0eQJImPH9vcuevoCNf0i93wmB8DPgu8E4/Hz5b+\n7Z8NDg7+db0X9qgKH4jv4evvDPODy+N87PhAvZdcYV9LiKGFJKNLqboVs0+VkSW7AMyyrC1/+JIE\nsrVaeeqiA3THMrmc5s2hGYyizh9+5x0S2QJhn4cPnxzgfQe7Oba3DU1VmExkSA/BobYIA6Vds+2R\nAEf3tK1cq6gbvDU0zYvvjnF2aJrh2QShc0N89oljPHV3X1UeqxthunI+dGwf704s8u13RznW04pa\nw+SxjegOB/AoMqNLaU72ttUt0FpCPiYX02R1o6a2srWIdI+7WJbFty7eIJ3Jc+bSON86fRWAIz0t\nPHOin0eO9OLVVEzT4mvvjqBIEndX+D48fc8+u81uNsFbQ9N869ww3zhznW+dG+aJY33s66o+1VJP\n4ddaDnfFONIV4/L0EtdmExzqjLpwVZBliX0tIa7OJZhKZuiNVFeTUi11K+bBwcGXaeAZOTXQyUtX\nJnh9aJrHDvUQdSme3xH04VMVxpbT3Le3va4woCRJBDWVZEGnaJh15cOdlhCT+nKQAlvo/MELFxke\nnUc3TPwelU8/EufZ+w/cEkJ2Cp02qsbWVIWHDvfy0OFeltI5vvDDy7x88Qa/9+1zfPedEf7W0/dw\nqLtl49dU+tOtA9MW9PHQ/i5evT7F6eHpiuNFt4IsS+yNBbk+n2QmlaUrXF84Oxb0MrmYJl3Q61LM\nCnZ/poGLBTJ3MK9dm+TNwQlS6TyyJPHMiX4+cnKA/o6bFdhUMkPRMBloj65rpMmSxEBnlIHOKB9/\n4CBfefMa3zk3xPfOj/DSpVF+6tGjfPyBg5vKWjcVM8Azd/VxeXqJ5y+NcrBj801x1dJfUsw3FlOu\nK2blc5/7nKsX3ITPZTK1VULLkoRPU7g4uUjBMDm6ieCrFkmSyBR1ZtM52gL2vs16MC2LVEHHoyr4\n19nHGwx62ez9W9hCRwaU28xjrub9u0W2oPM733iTc9ftdomPP3CQX/nEKe7f34W2xnAqGiZvjs4S\n9Kgc72mt6uAaQGssyJPH9pLL67w9Mst3z99gMZXj+L4OlAqeazDoJZEurBQvufX57okFOT08w8hC\nkvf1d6K55DV7ZGVlSl61Verr0RL1MzafwrIgVkcBmIStmKH+MGczaeZ3vxpM0+K5s0P8/nfeJl/Q\n2d8V5Z9/6iE+eLyfWIUxtBenF0nkity3p62qNilZkvAFvDwU38ORrihXp5Y4fWWSS+ML3LOvfd3a\nCqsUxpZx7/ON+DxML2e4OrvMnpbQLQtrtopPVRhZTLGYLXC4I7qhwREMen+jlmvvimjQvX0dtId8\nnBmZZT7l3gzUfTHbOxpdqr8txK1+ZjEBrH6uTy/xT//0Rd66Po3Xq/JPf/whfu7Ju4msE22ZWE5j\nWBb7WqrPfzqf897WML/y8VN87tOPsq89zPPnR/jfvvgSM8uVB9i47Q2AXYH65JFeMgWdl65OuHbd\ntqCXgKYyvpyue1CDqsj4VYWcbmDU0Q8oBo3UTzpX5De/8jp/9MIFLODBeC+f/5n33+IlO+iGyUQi\nQ9Cj0lJlxLJgmOimRdSv8cyJAf7gl57l1MFuLo7O8U/++AVeeW+84vMacT4APnjXXiTg+UujrrU4\nSZJEXyyEYVpMuTxPYFcoZkWWeOauPkzLcnVUZ2vAPcHjUWQ02fbC6/ngxYq7rWNZFs+9dZ1/8YWX\nmFpK0xIN8IGTA9zX37nh85wpV9XsXXZYmWZUio4c62vn8z/zfp453s/wbIJf+28/4O3hmVueV89g\nkY145EA3Ia/Ga9enV3pH60WS7DyablpMuCB4nF7vTJ09/2LQyNaZWEjxz7/wA84NzxAJeTnU38Ev\nPH1iQ29vIpHBMK1S/25thqvjsMRCPv7JJ9/H3/vQSXTT5N8/d4b/+Ndnb5mhvtWJX5vRFQlwYm8b\nk8sZ3nVxznxfaeXlDZcmSTrsCsUMcHdvKz3RAO+Mzbk2qtO2eILopsVkov6NU/b+WcjVMcO4fMWd\n8AiqxzBNfu/bb/OHL1wg5NN44EgP7W0hnjnWt+Hz8rrBTCpLa8BbddW/YVorYzjLBZqmKvzCh07y\ndz90klzR4N9+6TW+9PrlFUPNNK26BotshEdVeOJQD3nd4NVrk65d181hI85IRreiSkIx18bZoWn+\n+Rd+wORimgcOddPZEeGJI71ENkkt1DoND1b7l8sn4kmSxNPH+/mtzz7Jwa4YL747yue//BqZsgEg\njfKYAZ4+uuo1u7VaOOrzEPZqTCbsHLxb7BrFLEu212wB33FxRrDzZXM3nO3O3GwRzq6Oom7wu984\nw/cv3uBAV5RffPYBErrB4c7ouqM3HcaX01isWr7V4Hh8643h/ODxfv7VZx6jNeTji6+8x//z7XOY\nprWydKJRRX0P7u8i4FH54bUp17azRX0eoj4Pk8kMhTqXZvhVe0pexqW58uJ8VM83zlzjN7/yOkXd\n5H/5yL2YmoJPU3ni8MbTkwu6wVQyQ9TnIVJFSyCU9pMXdDuKWKHeobslxOc+8yinDnZz/sYcv/Hn\nr7JUGtlqsjqe2G3aQ37u29fBTDLL+fF5V67phLNNy2Ii4Z7XvGsUM0C8K8a+1hCXJheZcCl04Fg8\nEy5YPCuL4UWormlkCzq/+ZXXOX11krv72vnff/JRTpf2eX/w6N5Nnz9a+h7tjdbgDRQ2H8p/qKeF\n3yx5Bi9cHOU//PVbZEueQaMOneM153SDH16fcu26+2IhLAvG64xUSZJEwKNSMMy6zppI99TGl16/\nzB+/eJFYwMdv/NRj+PweUvkiD5UMuY0YW05jWav1ONWQLRpYbDym1qup/OonTvHB4/0MzSzzL7/4\nMuMLqYZFlBw+EN+DLEl899JYXbUO5ThG/aiL4exdpZglSeLpkrB98XLl4oGtXNMti0eRpZX9s/WE\nSkQBWHUkswX+9V+8yvkbc5w62M0/+9RDTCUyDM0lONIVo28TbzlXXA1jbyagyskUDWTJ9gA3Ihrw\n8i9/8hGO9LTw8nvj/PaXT6MbZkMP3UP7u/FrKq9emyTn0vabvSXBM+ZGVKmUk68nzyzSPdXzpdcv\n88VX3qMj4udf//TjDHRGeenKBJoi89ihzVvrnEhiX0v1EaX0mvqL9VBkmV945gQ/+fARppcz/Pp/\nf5kbs8sNPR+tQR+n+juYT+d4e2zOlWtGSlGlKReiSg67SjEDHOqI0hsNcnFigblU/XlhcNficbzm\negpwJGl105QQPJVJ54r8qz9/latTSzx1dx+/+olTaIq8Uhz4dBXe8nipcrqWMHbRMCkYJn6tuqXv\nAa/Gv/iJRzi6p5UfXhrj9547g+FiLmotXk3h8UM9ZIsGr113Z7NOyKsR83uYTmbrFjyr50OEsxvN\nV05fWVHKv/7px+iMBjg3OsdStsD7+js3ranIFnVmUjnaAl6CnurbSZ1UXjX96pIk8ZlHj/J3njlB\nMlvgd770GjMN3NoE8OQR22v+weVx13LNfbGgK1Elh12nmCVJ4skjvVjADy670xoS8XmIuWTxrOSZ\n65tB9ZcAACAASURBVMyjObam0Mu3Uiga/B9ffZ2RuQQfPjnA3/vwvSiyzNBcguH5JPGuGH1VFKqM\nLtsCoJYw9mp+ufpMsd+j8mufepije9s4c3WS3/3mm67viS3n4QNd+DSFl69Okq/ze+jQFw1hUb/g\n8aoyiiSRrrN7QaR7NuYrp6/wZy9foj3s59c//Sid0QCGafGDyxMossTjhzf3lp2d9X01hLHtwkgD\nv1rbfvIPnRjgsx84TiKT5/Nf+iELSXecrkrEAl7u7WtnNpXjkksV2s49GnXJqNh1ihngWG8rHSEf\nZ0fnWMrUt4Ddoa/FzqONrdN/Wi3+0hrIeltWhEdQGcM0+b+eO8Ol8QUeOdLLzz99fKUy+gdXbEPt\nA/E9m14nV9SZLXkDtYSxV7yBGp4D4NFUfvnHHuLuvnbevDbFf/ne+YatjPNpKo8d7CFb1Hl92B2v\n2a1wtr0GUkE3rbryzKIye33++uwQf/byJdpWlLL92V2YmGc+neP+fR1VTVB0ZOHeLRRGblR/UQnL\ngqfv3c+PP3qU2USWf/Ol10hmGzeQ5YnDvUjAD66Mu3IOQ16NFr+XmVR2pcizHnalYpYlifcf7sW0\nLF6+6k5riFvhbGcNZN4w0evwioRHcCuWZfH7z7/Dm9emOL6vnX/40ftWlPLkcporM8vsb49smluG\nVaFTizdgWRaZor3m0VvjdC2TUsHLJx9koCPC8++M8NU3rtZ0jVp45EA3XlXh5SsTruS93AxnuxFV\nctI9BiLdU85b16f5ry+cJxrw8rlPP0pXSa6ZlsULg+PIErx/k0pssMPYc+kc7UFfVZO+HJyK+1rH\nrjpy7scePMyz9x9gbD7J57/8mmvdBWvpDPu5q6eFscU0Q3MJV665ryWIxWqkoR52pWIGONnXTszv\n4c2RGVcWYQc9Gq0BL7MuWDyrgxS2fh3hMd/Kf3/1Pb53wW6J+seffPCm0ZovlbzlJ6oI0cHq4anF\nG3CmGQU8Ss3zdp3PMVgKa7eFfPzZy5fWnYBUL36PyiMHukkXdM6OzrpyTbfC2UEXCsBg9YwIvWwz\nPLvM737zTTRF4Z/+2IMrShng0uQiM8ksJ/e201ph5OZanPqLvTWOYs0UdCRYdyzxeqzsKJckfu7J\nu3nq7j6uTi3x21873bC0z/uP2JG1F11KiTopMTdab3etYlZkmccP9VI0TF695k5ryJ6obfFM1BnO\nXqk8rbMATEZUnjp89/wIX3r9Ct2xIP/sUw/jLwslL6ZznB+fpysS4EhnbNNrZUsz0pvlDViljWGa\nIiNJ0BryrbyH//its7w75k5P5VoeOdCFIku8fHXSlSIXt8LZmiKjyhKZglFXGFGEs1dZSOX4d19+\nnULR4Bd/5L6blqlYlsULl8eRsAufqsGJKNUyI103TfLGrYN3qmFFMWNHHf/uh07ywIEuzt+Y409e\nfLema1VLX0uIA+0Rrs4uM+7SHIu2gJfZdK7ujohdq5gBHujvIOhRee36lCutIY51WG+e2acqyJJ7\ngxTudMFzeWKB//K984R8Gv/ixx8mGrg5P/bKtSlMC95/uKcqT3ar3oDTv7xRf2YlHNXj1VaP276O\nCL/6ifdhWRa/9dXTTCy4X4ka8nm4r6+DhXSedycW6r+eS+FsO8+sYlgW+TryzCKqZJMr6vy7r7zO\nfCrHzz5xjIfWhKqH5hJMLKXt2pwqVtzmisaW6i+2arjC6mfonF5FlvlHH3uAvW1hnjt7nRcu3qj5\nmtXw5BH7XrlVSLy3lBobX64vqrSrFbNHVXisNFDh9FD9RS4hr0bM52E6laVg1Cd4/Fr9gxSERwBL\n6Ry/83W7ivmXn33gpvAcQDpf5M2RGWJ+D8fLdidvxOgWwthOflmVJbQaqk1hVeh41oT3TvR38AvP\nnCSdL/JbXztNrgH5tMdLvaovX510pcjFtXC2p/6okjBc7dzx//3cWwzNLPPB4/184tTBWx7j1OE8\nUUXfMrAyz6GW8wGrn2VwC4VflQaL+D0q/+sn30fQq/H/Pf8OV1ycce1w0OX2W7ecu6Yq5qwLueC1\nPLS/C6+q8Or1qbqKrRz2lvrRJndAHu1O9wh0w+T//MabLKZz/OzjxzhRYRnFa0PTFA2Txw71oMib\nf523WtSS101My/aWa80vO99Kb4WBJB+4Zx8/ct9+xhdS/L/fedv1Su2OsJ+j3S2MLqYYmU/WfT23\nwtkBzZ0CsDt909TX3rjKG6ViyL/99PFbvpszySyD00v0t4arKoqE1fqLWld9OoN3fDXuoy8PY6+l\nuyXELz/7AIZp8ttfO82Ci9sF4eb225eu1F9IHCht4Kq3VqmpivnTn/8yoy5VwDn4NJVT/R0kc0XO\nu5Crc76M9VbWOYKnnnD2nT568I9euMB7pbaoSp5AQTd47foUfk3l1CYbpBy2MlQEyqcZ1R6mcz4/\nj1r5uP3c++/mSE8LrwyO861zwzVffzOcgriXXOhgcCucrSkyHkUmK/qZt8y7o3N84ZVLtIZ8/NLH\nHkCt0CnwSukzr2bKF6wudWnx1zZUpNbBO+VstnHt5EAnn33iGIvpPL/ztTdcm67lcKy3lbagj7Oj\nsyRz9bdo7Y2VapXqcO6aqpjT+SK/+80z5F0aFejwyIFuJOCVa/WH6yI+DxGfxlQyW1cY2qvKdp65\nzgKwO3X04AsXb/Ctt4fZ1x7m73/k3oqH/cyNWTIFnYcPdOGp0krfSlELlIXpaqw2dQq/7DBdZYGl\nKjK/8vFTRPwe/ujFC1x2IR9cTn9rmL6WEO9NLTLrwuAGt8LZAU3BtCDrgmdxpynmpXSOf//cGSQk\nfvnZB4gEbu1LTuUKnBudpS3o466elgpXuZWJ0lKXmsPYK/nl2le0VLNR6uMPHOSJu/ZyZWqRP37x\nYs2/YyNkSeKxQ90YpsXrLqREnXD2eB3OXVMV86ceiTM2n+S/fv+Cq9dtCfq4u7eVyeWMKz1pe6NB\nTKu+5ddOgUvRtCiIApeaGJ1L8PvPv0PQq/GPP/kgvgpeqmlZvHJ1ElWWeORAd1XXzeurRS21hLHt\n/PL/z95ZR8dxXu//M0taEDOTZcsyyTIz23HYiR1wwHE4adOGGmhK6bdNQw21acPUsO1w4jgxM4PA\nIFuymBl2V4vz+2O1suxI8s6MnCjt7zknx+fkaN+FmXnvfe9z7/O40KlVPZ5K+oKvNnZhAQbuvnAs\nblHk2a/30dpPwjnguRe9LkL9Mffv3bSVbDzQbaxQgTzn/6KuvNst8o/VB2gy27h2egZDe+mt2FVU\ng9MtMmVQtM9d0uVyx6TO4rjWF3xxlBIEgdvnZZIQFsD32cXs6Yeyc3dkJURg0KrZ3UmNKYG/n5Yg\nvY6advnGSD9qYL7jgixSIoPYkFfKtqPl/br21G5NLkrhnUdTSuCf2nj+f4OLr7A7Xbywej8Ol5s7\nzxtNdC+Z+9GqJposNrISIzD56KNcKfO0bHV63HKUnAZ8eeXIxAiunppBY7vnNNRfOr4AGTEh/Vau\n64+NB7rTPQqqSp3//q88HwArduaTV+Yxbrlo7A8pHvA8R7uLajBoNYxJjPBpXbvTRU27lWCDzmdv\nci8sdicqwVMplAJ3L41fPUGnVXPPhWPRadS89P0h6vtJlxo8jcTjk6Ow2J0cKlNubuE53MnvVfpR\nA7NOo+beC8di0Gl4dV02Vf0oVp4YGkBiqD/5Nc2Ky3WBei3+Oi1VbRZFDWWnnHSUnwj+Vzae97Yc\nobS+jfmjkpjQBy+2s9CTgE3pdlp2u0XaLDbarTY67A6crtPnZOWXseXJcMLZ+bMzcen4NMZ0zm9+\nva9Q8vv1hu7luv4wt4hTuPGAx43NT6Eb2//avH92cS2f7j5OZJCRX56X1Ss9crCsHovdycSU02ke\nt1vE5nDSZrHR0t5xmnhHZasFUZR+Wra73DjcIkYZ/LKvFSUvEsIDWT5rBGabg398e6BfxUcmpXoq\nCzv6gRLtapJskRfjpO80ChEd4s+t80bxj9UHeO7rffx16XSf+cGzYeqgGEobT7CjsIpLR6fKXkcQ\nBOKDTRyrbaa61SqZb/FCp/YI9lsUNLgIAgjiKenBc+VTOhCwr7CaNYeKiA8LYNnM4T3+jdstsreg\nkh25JaicTp54fxMNrRYaWi00tlp7fFADDDpiwgIRdGoiQvzRtHUwIiWKQTGhqHwYfbL4aGPX4+ft\n/NfXy6YSBH6xYDS/eXcTH24/ysikCFIigyS/b0/ISohg7ZFy9hTXMCs9rkcTe18RH2TiSE0TFS1m\nEn0wDOkNRq0Gm9OO1eGSPB/uhRrP7+ziJ9jQfkS0Wm3867uDqFUC9100DpO+51NtVWMbH27Opa6p\nna3N7az4dh/ldS20WW04nKc/H4IAQSY9If4GVBo1BpMftuGJOM02BseHofehAcwic74fpFWUvJg7\nMpGc0jp2Ha9k1c7jXDV1qOT37QlBnSOX2eX1FNS1MNgHsaLeEKjXEeCnpbrVilNGVeknuY+nDY0n\nr7SeDXmlfLD1KMtnj+iXdTNiQgkx+nGwrJ55GQk+lzh7QnyQJzBXtJhlB2aPMbyaNptTMc/swnMq\n+G+Ny41tVl767hBatYp7LhiLXzeuqrSmmc05Rew4XMqxsjosHaeP3flp1YQGGslIiiC4U27Q6XJ3\n/dds7qCougmH00U+NWzb7zmJBhr9yBwUzei0WCYMjWdwXNgPMn63KGJ1uPBTq9D4MI51+ms910yN\ntIQq0OjHLxZk8bfPdvGP1ft54toZp/0ecuEp10Wy5UQl2eX1Pney9/gZ9Vr8dRqq2iy43G6fRtV6\nglGrpsnqSX7kBub/BbpHFEVeXZtDs9nGNdMySI06FTTqW8zsOVbOgROVHDhRSUW3PpsCPMleTFgA\nseGB6DRqtBo1Oo0alUqgpb2DpnYrDa2Wrr6GvHyPTKxKEEiODmbSsERmjExmZGp0jz0WShq/pFaU\n4BTfXFjdzKe7jzM8IZwRieGS37snTE2LJru8nu0FVYoCM3hiyNHaZqrbLMRES0uuf7IE88bZI8iv\nbGT1wZOMGxTFCB95kL6g7mwEWp1Xwp7iWp9chnpDsEGHUaehstWMyy1KsjDrDpNWQ5vNqbic7eJU\nd+9/G9xukRfXHKStw85Ns0eSGBHI8bJ61h0oYHNOMcXVHmEBQYDEyGAcoSpiwgO5Y34WqTEhmPS6\ns5bQthdVc7yqkSHB/tQ3tZN9sppDBVVszS1ha24JAMlRwcwfN5gF49JI7HwoOxyd/LKC04CcazY6\nJZKFo1NYc6iI97Yc4ea5o2Ss8kNMTIliW0ElOwurGZsYIbn06IUgCMQFmciva6GmzUqsxPKnF/0x\nVvi/QPdsPlLGnoIqMuJCuWRcGu1WGxsOnmTN3uMcOFHZVcYPMOhIigtDZ/TjmqkZjEiKJCY04DRd\n+Z5Q1tTO9uJqQtVqnFY7+WX15JfVcbS0jg/WZ/PB+mwCTX5MGZbE3DGpTBmehEatOs3YRSexAuOd\nWBCQXgk06bXcfcEY/vjxdv757QGeuWEW/nqdtEV6QFywP8lhAZyobaG21UJkoFH+Wp2BubzFTJbE\n1/5kgdlPq+GuhWP43Ydb+dd3h3hm2SyMCk64XoxNimD9sXJ2naxmelqM5C5aLwRBID7IxPG6Fmrb\nrcTIvEDGfmwA+28t1X19oJC8snpGJ0Xg7LBx09OfcLi4FvDcJzMzU5g5KpmpI5LYX1bPhvwKLslM\nYVRKlE/rO91uatqtRIcGMCU9HkEQuHTqMABqmto5eKKSzTlFbM8r4bVv9vLaN3sZmhjB4unDGTcs\nETh3YyB94brpwzhcVs932cVkpUQxJtW379sXgo1+DI8NJbeikaL6VlIj5JfJvYG5osUsOzB7eeaO\nTp5ZqsYy/PfTPTXNZt7ckIteq2ba4BgeeeN7tueVdM3zjkqNZlZmCuPS4/D3N/DvzXkMigjkgvFD\nfH6PilYzapWKCYNjCTb4ccHEdABsDif7j1ewLbeELbnFrNl7nDV7jxMRbOLSKRksnDgEpygQ6Ced\nX/aSe3KJzCGxoVw5JZ2Pth/jrY15/Or8MTJXOh1TBsVQ3NDG9sJqLsuST4kGG3SYdBpZfRjqRx99\nVPYby8CjFsupjtBQfz1uUWT/yRqazLY+m318hUatwmxzUljXQkSAnmiZGwaARqWiuLENtUqQvfGo\nBGjpcOBwicSH+9P9+/sKAfAWb7U/403HZPL7wfcvb2jj75/vxtxqpqComrX7C6hvMTN1RBJ3XTqJ\n314zk/MnpDMkPhy1Ws2K/YVoVAJLxgzyuXxa1WqhtKmd1LBAogJOT7D8DTrS4sKYNyaNK2aOJCU6\nBIfTRc7JGjbnFPHt7nxsDiejkiIxSczIHXg2Hz88waKn798X1GoV6XGhbDxcRnZJLTOHJfQ4OiYV\nAXod+0vr6HC6GBUvvwRo0Ko52dBGq83BkIigPjfmvr67w+XG6nRh1Gokn7q88FI9GgZmYJZ67b1w\nu0We+Gw3RRX1uM1Wvth+hOLqJhIjg1k6exS/u24W184dzajUaMKDTKw/Vk5li5kLRyb5pIsN4HKL\n7C+vw6DVMCI69LTrqFGrSIgMZuqIJJbOGcW0EUmo1SqOlNSy+2g5qzbnUVLVSFJEEAl9JHk9fX8n\npw4bapnXbEhsCIeKajlUXEtieADxYb6pm/WFcH892WX1lDS2MSHZd42EMyF09hfVmTsYnxr9Zymv\n/UkDM0B6bCgHi2s4VFxLUkQgcT7KxvWFMH89u05W09JhZ3yy/FOGQaumsKGNNpv9rBtPbxAEgQ6n\nmw6ni7BAA04ZJ2dBOFXK1jIwNx5fcObDWd3Uxq/+tZrSijosFhsmPy1XzhrJozfMZcmMESRHh6BR\nn3oossvqyC5vYMqgGNKjfRNMADhW20xLh53M2NA+55d1WjWD48NZOH4IF08Zikat5nBxLbkFVaza\nnEdtcztDEsJ9CtCiCHY8SZVO6Pn7+4Jgkx4/rZo9BdXUNJuZPCRWdvnZiyCDjmM1zRTXtzI6Ifw0\npy4pEAQBs90jcRppMvTZ09HXdxdFkVabE61akM0zuzv/87gTyVrinELOtbc7XPzxvQ1s2ncCc5sF\ns9XOnKxB/P662dx5yUSyBscS0E1YxGJ38unBQoIMOi7OTPH5Pqlps1Lc1E5KaADRfVQGBUEgItjE\n1BFJXDlzJHHhAVQ0tnGkqIbv9hwnt6iGuPBAonpoBuwtMHv3NLnXTCUIZMSHsiG3lJySOmYOV568\nen+3/Jpm/LQaUsIDZa9l0Gg42dj68wvMKpXA0LgwNuT13w9r0GmoaDZzsr6VIVHBBBnkcQ+CINBu\nc1BvthHpb5AkUdcdblGk3e7EqNOgltmFP9A3Hl/gfTgbWi288tUeHn1nPc1tFkwGHQ9eNZ0/XD+H\nycMST9tsvBBFkU8OnMRid3DF2DSf7xG3W2RfeT1+GhWjYn7Y3NXrZ9XrGJ4azfhRKcSFBVBZ18Ke\nY+V8uvUIFpuDjMSIPhuyRDwbjxrQKAjMAGkxIRwuayC7pI74sAASFGwU4LmvtSoVR6qaUAkCg6Pk\nN7moBYGSpnY0KlWfdE9f312tUtFotYPoKf/JhRMPbSD39HUuIeXau90i3+45zm9e/pa8k9UIIiya\nNozHbl7AZdOGERni3+N9vOtkNcdrmpmdHk+ShJNjfm0zzVY7o2LCfO6l0GrUpCeEkzksieGp0Vgs\nHew9Vs5XO4+Rc7KaxMhgIrsF6J6+v7eipEPZYSPQ4NctebX0S/IaEWBgV1E1Na1WJqdGyaJYAPRa\nNekRwfj7+/28AjN4ulD1Os8PW91kZkq68h/WpNNwqKwep8vN8NhQ2esIgkBpcztatarPbLIvqASB\nJqsdlUrAJLMsIuI5NQ/UjccXaP00vP7VHn77+vccLKhCpVYRFxPGew8uZnRaDOo+yphF9a1sLahi\nRFwo4yRUQWrarRQ1tpEcGkBMoDQ6oqXDjkOESelxLJ09ipjQAPKKa9h5uJTPtx9BEGBoYkSPfQyu\nzv+0nLpecgOzIAhkxIexvvNUMKsfktcIfwP7SmqpaGpnUmq05I5zLww6DYX1rbSfpZzd13dXCQLt\ndgcdTjehxrM38vWEgU73+HLtRVFk99Eyfvv693y67QhWu5PAIH/+etN8rp2T2aPsphcut8jK/QW4\nRJErxqb5PAonip4ytkalYnQPUwl9we5y02i1kxwZzNUzRjAuPY6apnb25lfw5Y6jlNe1MiI5CpNe\n94Pv760oqeif63Uqea0lOthEkoLeCfCU8NusdgrrW4kONCpqAlMJAiaTtMA8YJp8z89KZXh8GHsL\nq9ne2a6vBIMigojw15Nb0aBI6SjS34BGJVDRapE9i6xTq9CqBFrMNtlr/Nw7T3ccLuH8+9/kxc93\nodOoGZwSTWxiFI9cPYMQH7iwXZ0atpNTpfUhyPVehtP9ZTVqFZdMyWDVn67hrkWTEEWRFz/fxTWP\nrWD30bIfvFbOGEhfiA42cc20DNo67LyxPkfxehq1igkpUXQ4XRwsrZO9jkoQiA000uF00ahARtTb\nnW2V2Z0tCJ7g/HN1mqpqaOM3L3/L3f/6hoLKBoanRhObEMmiGSOYPjzxrK8/Vt1Es9VOVmKEJGqi\n3tyBzekmNtAoOSE6c0wqKy2WF399CS/fcynpCeGs2XucK/78AW9/dwDbGRSe0sbIM6ESBH5x3mj8\ntGre3JhLYz9owk/qFC/aebJa8VpSMWACs0oQuGPBaPw0at7amKdYK1gQBCalRuMSRfZ2dvjKgVol\nEBNoxGJ30qIgwBu1Gpxu+cbw3kfm56YJ7NlwVnPvv1dTUt3MlTNHct0F47Gr1MwekehTp3GzxcbR\nqkZig0wkhvouZiGKIhUtFvw0KsI755t9hVsU6XC48NOoThuV0+s0XD8/i0//7zqunj2KyvpWfv3i\n1/zuzbXUddOO7u+NB2BhVgoZcaHsOlHFzn4wdp+YHIlaJbDzZLUi+U+vklqFAgnbLpU8BdML3uT1\n5xSXnS4X7649yNV//YhteSWMGRzL03dcQIdGS3iwiRt6Edo5E97gMdnHSQUvFCWundfqzPJ31uBY\n3npwMY9cMxO9TsNLX+7mvPvfZFe3BPZcPB9RwSaWzRyOxebk1fU5itW7IgIMpEUEUdzQRrVCeWap\nGDCBGTw/7NXThtJmtfNmPxhdZCVE4KdRs6e4RpG0Zr9sPAqN4X9u0oNut8iqLXlc89jHbM31bDhf\nP72cK2aPYvWhIsL89dww0zdhmT3FNbhFmJQaJSmrb7DYsDldxAaaJJ8GrJ3zy72J8gca/bh3yVTe\neWgJw5MjWbe/gCv/8iErN+XicondHKUkvW2f8CavOo2a19fnKE5e/fU6RsWFUd/eQWFdi+x1ogIM\nqFUCFS1m2ZuhtylPiT/zz83wJfdkNTc8sYoXP9+FQafhT8vm8OKvLmZNTilOl5tb547C3wfOvbrF\nTFF9K2kRQZJKrt7EVaMSiPT3rYO7+2stDhcalYC2h6YXtUrFpVOHsfJP13DNnEwq6lq4+8Wv+cu7\nG2m12GQpfvmCeSOTGJ4QzoGTNezIV568njo1K5exlYIBFZgBzh+dyuCYEHbkV7CvUFkJwU+rZkyi\nx6v5iAIrvegAIypBoKJFvi7w/5KQQnldC7/8x5c8/fFW1CqBPy2bw7/vvoTB8WG8vPYQLrfIrfMy\ne5UU7A6Hy83e4loMWo3k0R6vaUVskHR+yFcZziEJ4bx+/+U8vHQmakHg7yu3cdc/v6S6ofWcPFwx\nIf4s7UxeX9+Qq3g978ajRD9brVIRE2Ck3e6k9QxVNt/XENBr1HQ45etm/1wUwGwOJ//4dAe3PvsZ\nBZWNXDo1g4//uJQLJqaz+uBJTlQ3MTU9jvE+jo96g8bkQb65rHnRbLVjcTiJCTT6JE3bHXaXG5d4\ndn3sAKMfdy+ewuePL2NIfDhf7zrG1X/5iM05RUD/Kxl6VMFGodN4StqtVmXJa3p0MCFGP7LL6xVV\nc6RiwAVmlUrgzgWj0ahVvLYuB7PMB92LSZ2lUiU8gVatIsrfQEuHnXabvM+jVavQa9WKdLMH+sbj\ndot8vDGHax5bwYETlczMTOGjP1zNBRPTEQSBz3Ycp6C6manpcT6LZeRVNGCxOxmXHCFJ29lzGjCj\nVglESTwNwCnjCl/sIVUqgcumDePjPy5lxqhkDpyo5JbHV7B6x1HF5bSecP7oVNJjQ9l1vJK9Ct3U\n4kP8iQs2kV/dRJO5Q/Y6XVWl1n4oZ8tMXgf68wGQX1bH8idX8f76bOLCg3jl3kU8cs0sgkx6qpra\n+Wj7MQINOm6c41s1yeOGVEeo0Y8hErvrvddKqqkLSJfhHJ4SxVsPXs6dF0+g1dLBH15dw2NvraVN\nYeDsCdEh/lw1JZ02q513NinzblYJAhNTonC43OwvkU+JSn7fH+2dJCA+LIDLJw6mydzBe1uPKFor\n3N/AkKhgShvbFfnHxnWeupSUs4NMfrhFZPPMA7lU19Bi4d5/f8Ozq7aj12n4y43zePLW8wjvfOhr\nW8y88f0hAvQ6bpSgjb6rqBoBmChxHr3N5qDd7iQmwChZx9ktilidLvRn8MtnQ1igkaduW8gj189B\nEASe+GAT9720mgYFlZaeoFIJ3D4/E41axRsbcrHITBa9mJwajQjsUdCLERNoRBCUPR9KbVK9dM9A\nbABzuty8+e1+bnzqU05WNbF4xnDe++0VjO48FbtFkVfWZuNwubl57igCDb13YHfH/pJanG6RiSnS\nR3oqWsweHe0AGRWlXvjlvqBRq1m+cCzvPHwlw5KjWL+/gOv+toKDJ5SXnM/EBWNSGRQVzNaj5Rws\nUlaGHpsUiVatYndRTb9asfaFARmYARaNH0xSeCDrc0vIU9A1CqdOzbsUnJpj+4FnDuocd5C98XT+\nO9BOBNvySrj2bx+z62gZk4cl8OHvr2LBuMFdJS5RFHl1XQ4dDhc3zBre59hHd5Q1tVPeZCY9BTVS\nHAAAIABJREFUOoQQic1bFQrK2NZu3dhSIQgCCyam88YjVzFhaDw7Dpdy7eMr2HWkVPJafSE+LIDL\nJwymsb2DD7YdVbTWiDjP/Oq+klrZ/spatYpIk8FTHpV5fxu6Tsz/Xf7l1Y1tLH30Q175eg+hgQZe\nuOsiHrxqBoZugiyb8ko5Ut7AuEHRTBrsWwnbLYrsKapBq1YxRqIhSZvNQWuHg6gAg2TZ4rPxy2dD\nQnQIL9y7iJsvGEdds5k7X/iCl77cjdPVf0cOtUrFHQsyUasEXl2Xg1VBGdqo05AZH06TxUZ+dXO/\nfca+MGADs0at4s7zRiMI8MrabOwKuNnBkcGEmfTklNdjscs7Xfhp1ISb9DRYbHTI3DiCjJ5GDrml\nOkHw8MwDpQHM5nDyzIpt3P/Sato77Ny7ZCrP3nkhYWc0oGw+UkZOSR0Th8QyPSPe5/V3eztNZWhE\nV7RYEEDZaUCGPrZXmD86xJ9/3HUR9y6ZSrvVxt3/+oYn3tuEw9l/m8+iCYOJDwvg++xijlU0yF5H\nq1YxLikSi91JroJ1lDZJqgQBg0ZNh9ONy/3fQfdszi7i+sdXsj+/grlZg/jgd1cxKSPhtL9pNnfw\n7pYjGHQabp4z0udGxRM1zTRabIyK910YxAtv/0WcjPlcX/nl3uDGIzd7ywXjeeW+RcSEBvD2dwe4\n9ZnPT3PGUoqkiCAWjR9MQ5uV9xVWXif3w+FOCgZsYAZIjQrmwjGp1LRY+GT3cdnrqASBCSlRON0i\n+0vkn7695exKmebwep0GrUqZP/NAKWeX17Vw6zOfsWJzLinRIbz14BKunj3qB00kzeYO3tl0GD+t\nmnsWjff5QTbbHORUNBDur5dstGCxO2my2ojwN8jSufUmTr7wy2ei+xiIIAhcPXsUr99/OQmRQbz6\n5R5uf7b/Nh+NWsUd8zMR8CSvSoL+hJQoBDy9GHLvzdiu50P59IJVZvI7UBok7Q4Xz6zYxoOvrsHm\ncPLYbQt47Ob5PVaL3t6Uh9nmYOm0DMJ81LeGU7P9k1KkNX1B94rSueeXz0SXoxQeA453f3slC8cP\n4UhJLcueWMmmQydlrdsTLp84mLhQf9ZmF3NcSQNwkInksAAK6lqob1c+I302DOjADHDl5KFEBBr4\ncl8BpXXyN7SxiRGKeYL+GZvS9AvP/FNuPBsPnWTZE6vIL6vn0ikZvP3QEgbHhfX4t+9sOuzZdKZm\nEN2Dhm5v2FdSi8stMiklWjJ3VtnV1CL9NCCXX+56fee/3besoYkRvPPQEi6bMZzDJbVc//hKNmcX\nSV67JwyJDWVBZjIVje18vrdA9johRj+GRodQ2WymvKld1hoGrYZQox917R1dzkdSoXR6YSDM+1fU\nt3LLM592S1oXs3Te6B6TUu9Yz+CYEBaMSvb5PRrNHZyoaSYx1J9YiX7xHQ4nDRYb4SY9fnISVxn8\nshdej/Luo4T+Bh1/Xj6XP14/G4fTzUOvfcdzq7b3S3VJq1Fz+/xMRDzJq1PmvgunJhh2/wijUwM+\nMOt1Gm6eMwqXW+SVddmyg6pBp2FUfBhNFhvHa+TxBCadlmC9jpp2q2wuTqmQwk95InA4XTy3ajsP\nv/YdLrebPy2bwyPXzkLfywN6qLiW7fkVpEUHs3B0is/v43KL7C6qQadWkSXDAN071hYrUYITlPHL\n0Lvil0mv45m7LuSP18/G6XLz4KtrePHznYo2Ci+WTssg1F/Pp7uPU97QJnudrtEpBc0ycYEmRJBl\ndQfKeeafet5/a24xNzyxkvyyei6ePJS3H1rMoNiek9YOu5PX1ueg7mzmkzKytLuoBhGYKOO07K34\nyUlclfLLfQmLXDhpKG89eDnJUcF8tDGH25/7nCoF97MXQ+PCmDsyibKGNr7aXyh7nWExIfj7aTlQ\nWic78fQVAz4wA4xJjWJKeiwnqppYm10sex3vTbxbwcYTG2RCFKG6Td7Go/hE0Ck96PWe/bFQ29zO\nnc9/wUcbc0iODuGtBxZ3ebb2BJvDyevrc1AJArdJ3HTyq5tosdoZnRghWRPa7nRR124lxOAnK6P3\ndX65N3g3nt6+7YWThvLmA57S9rtrD/Grf36luGvb6Kfllrme5PVVBcnroIhAwjtlbOWOBXrL2XLH\npvqDZ/4pkleX281LX+7mNy9/i93p4vfXzeb3181G34fxzUfbj9HQZuXS8WkkSjAm8Yzu1GHSaRgh\nwwegq4wtI3HtD34Zeg88g2LDeOvBJZw3bjCHi2tZ9uTKHiVvpeLa6RkEGf1YtTOfapnTOWqVivHJ\nkXQ4XWSX1yv+TH3hZxGYAZbPGoHJT8sH247S2C5v3jIu2ERCiL+naULmzKbSsSltp252f/DMP1Zc\nPniikmVPrCK3qIbzxg3mrQcWk3qWDeGTXcepbbFw0dhUkiVyxLu7uDPpTV9VbRZE5J0GQNr88pkQ\neyjT9YS0uDDefnAxs0ancOBEJcueXMkhhfPI4wZFM3FwDMcqGtmUJ68DXBAEJqVE43KL7JM5OhWo\n1xHgp6W6zYpLptqeUp75x+7DaGqzcveLX/P2dweICw/k9fsv5+LJQ/t8TUF1E98ePElMsInLJw6R\n9H455fVYHU7GJ0dJ7qh2uNzUtncQpNfh34dNZ2/wKrN5r5FU+KL4ZdRr+fPyuTx09QwsHQ7u+dc3\nvP3dAUWaAP6dY5oOl5vX1mXLXmt8chQqwSPIcy40Crz4UQOzRYHWdLBJz7XTh2G1O3lro3zFo0mp\nUYjIPzUH6XUYtRqqWi24ZWb0PxeeWRRFPtqYwy//8SWtZhv3XzGNPy+fi/Esil2lda18tb+QiEAD\nSyb3fqruCfXtVgrqWkgOCyBKRseot4wtRzThXPDLvcHf4McTt5zHry+bTFOblV+88CUrN+cpethv\nnDUCg07Du1uO0CJTrjMrMRydWsXeYvm9GLGBRlxukRqZRgJKq0o/Zh/G0ZJabnhyFXvzK5g+Mom3\nH1rCkIS+6ReX281r63IQgVvnZUpqUBRFkV0naxCA8cnSRqQAatosuEVR1hghdJ9YkJe4uuhs/DrL\n4yUIApdPH84r9y4iLMjIS1/u5qHXvqPdKj+GTB4SS1ZyJLml9Ww9Wi5rjSCDjmExoVS3WihtlNeL\n4QsUB+b09PSF6enpx9LT00+kp6c/1NffjrvlRdbskd9dPWdkIhlxoew+USVbrnNEbBgmnYb9JXWy\neGJBEIgLMuJ0i9Sa5W48A59n7rA7+NPb63lu1XaCTHr+dffFXDnr7KMcbtHTC+Byi9wyd5TkUrQ3\nYZoo47TscrupbrPg76clQMZp4Fzxy71BEASunTeaf/7qYgKNOv6+Yit/eXcjHTLvi9AAA1dPHYrZ\n5uA/m+UpHum1GkYnhNNstZNf3SRrjVMqYD8Rz8wpp6lziW92HeO2Zz+ntrmd2y+awFO3ne/TjP6a\nQ0UU1bYwc1gCIyT2UJQ1tVPZYiYjJoRgH/UAuqMrcZVRxhZFEasCftmb5kkJOiNSovjPw0sYMziW\nzdlF3PjUKopk3peCIHDz3FH4adS8s/kwbTKDvHdv2lV07kanFAXm9PR0NfAisBAYBixNT0/P6O3v\nNWoVf3pnPc9/sl1W04tKELh1nmdo/I0NubI2MI1axbjkSKwOJzkyeQLviEGlTG6wv04E56pUV1nf\nyi1//4zv9p1gZEoU/3n4CrLSYn167bqcYk5UNTElPZYsicHV7nRxoKQOfz8tw2RwZzXtVlxukTgZ\nFnbQf/yy1Idq7JA43nn4CjISI/hmd76ippfzMlO6FI9yZEoIensx5DaBhRr90GvUVMo0tVDKM5/r\nBjCny8XfV2zl/97diE6r5pk7LuCm88f61EdR32blo+3HCNDruH7mMMnv3UXzpEpv+nKLIlWtFgxa\nNcE+mGOcCVs/8ctSn67QACP//NXFXDM3k9LaFm56+hPZUw2RQUau6JTrfG+LvNnmlPBAIgIMHK5o\npF1BFbgvKD0xTwAK8vPzi/Pz8x3AR8Clvf3x548vIzk6hA835PDrF7+iSUapKz4sgEvHp9HQZmXF\nzmPyPnSyZ2ZzV5E8niDcpEenVsl201HKM59L79k9x8q54alVnKho4PJpw3jpnkuJ8HEco6m9g/e3\nHsXop2H5LN9lN73ILm+gw+lifHIkGokymnAqUZIzmwnK+GU4NZ8p4zBBVIg/r9y3iIsmDeVYaR3L\nn1rFvuPSfclVKk+znSDAa+tyZAnzRAcZPTObtfJmNgVBIDbIiN3lpl5mL8dA5ZkbWi388oWvWLk5\nj0Gxobz94BKmjkjy+fVvbsjF5nBx/cxhPstuemG2Ocj1zvZLaBbzoq7disPtJi5IutsadJtflskv\nK/Eo16hV3H35FP5603zcbpEHX13DK1/vkUUnXjgmlaSIQDYe9qitSYXQqZ/tEkX2KtDF6AtKA3Mc\n0L1lrrzz//WI1NhQ3vjN5czMTGH/8UqWP7mKYzLkNi+fMISoICOrD3hKQlIRrHBmUyV4PJo7nC6a\nZIqwd/HMTnkFt/72nhVFkffWHeLuF7/GanPwyDUzeWjpTLQS+K+3N+VhtTu5ZtowgiVKaIqiyO6i\nalSCPO5MFEUqW834adSEySjxKeaXuzV+yYWfVsPvr5vFA1dNp81i59f//IqPNkr3lU2JDOoS5vlU\nJnXkLdftkXlq9pZK5TqyDUSe+XBxDTc8uYpDhVXMzRrUJRzjK/YUeCi4YfFhzByWcPYXnIH9nbP9\nE1Ok2Z96oaSMDcr4ZegfD+b5Y9N47f7LiA0L4M1v9/PAK9/SLnEPVqtU3DbPI8zz2jp5wjxZCeHo\nNJ5eDLnTA31B3i98CpI/UUpiGG/8dgn//mwnz63Yxm3Pfs7jd5zHoum+GYJ78ZvFk3jgzQ28tSmP\nF+9cINmoYEFWCke/bSK7qpEx6b6VabsjQ3RT0tROk8NJekSAz6+L6Pxbt1ZNS2UTKj8NEWG+C294\n0Wqx09huwxSgx98gnU/tDqvNwcMvr+Gr7UeJDDHx0v2XkTVE2m+yO7+CnccrGZ4YztI5I3ot60X0\n8lsV1jRT1WIhKzmSNBmzy1XN7dicbobFhRIZKf000dTZ6R8eZOz1M/YFs82BtaWDAJOOYFPviYEv\na9+5eDLjhifwy2e+4LlV2ymubeax2xb0OXpzJn5x8Tj2FFTzxd4CLpo8hBSJzkMzQ018e7iUg2X1\nXD1jmGQhitAwE7tKa6kxWwkP99zfUn7XULeb8hYLDkRZ18PldlNWb0ajUxMRLK/RqTtWbszlD69/\nj8Pp4sFrZnL7pRMkBUeLzcE7mw+jVat46IrJku9Rt1tkX2kdOo2K+WNSMEq4F8CTuFYfK8NPo2Zo\ncoTk5FMURQoa2/HTqomNCpScGIiiiEinpnqYvMTAi4iIAL56ajl3v/AV23KKueWZz3j5gcsYLMEW\nNiIigEuLhvD5ruOsP1rG9XNGSv4ckwfHsvloOVWWDrJSpB8m+oLSwFwBdE/9EvCcmntFXZ2HO7tq\nxkjiQgP541vruO+f37D3cBl3LZrsc/t/UrA/04bGse1YBR+sy2Nhlu8CFgDhOi1hJj17C6uZnRaL\nSWKzkMHtOTkXVDUxKMi3wBoREdD1/V2dHHttkxmdjIzL1fmS5rYOrDLHx8DDJz/46hpOVDQwMiWK\nJzodobyf0xfYHE6e+XQPapXAjTNH0NDQcxWi+/c/E2sOeDijrLgwSe/txeFKT0kqVKeT9fo6b8nV\n4ZL1envn9egw26mz9Mw79fX9z0RyWBBvPnA5v33tOz7bcpijxbU8eet5RIf6HqSWzxrBU1/s4amV\nO3n0yqmSFdTGJESw6XgFGw4WM05GFSM6wEBZs5nCskbSEqVfV71GTZvVQXVNq6wqhgBY7S5qa9vO\n2gXcG5wuF8+t2sGqLXkEGHQ8fdtCJg1LpL5eWqXt41351LVYWDJpCAZBJfm3OFbdREN7B+OTIzG3\ndGBG2jPfaLFhtjlICvGnsZfnsy90OF04XW6MGq3k7w4QFGL0cP4ut6znqyc8ect5vPTlbt5bd4jL\nfvsuj94wl5mZvseBRWMHsTm3hHc35JEZH06MBGVCgMyYUDYfLef77GLiz2ItKzW5VFrK3gcMTk9P\nT05PT9cBVwFf+vriaSOSePvBxbJ552Uzh2Py0/Lh9qM0SuSrvT6bTrfIfhnldI1aRXSAgVabgzab\n9AYApTxzf5Tqdh8t+wGfHC6Dn1216zh1rRYuGjuIxAjpp9V2m4O8ygYiZHJnXu9ljUogUob3Mijn\nl5XwZ70hKsSfl+69tIt3vuFJabzzuEHRTEjzzDZvlDHbPCEl0jOzWSRPP9srYCFXbKSLZ5apsqR0\n3r+hxcMnr9ri4ZPfenAJk4YlSl6nsLqZz3YeJybExKIJg2V9Fq95gpxpBThlWiFHVASU88s2h2en\n6s/nQ6NW8avLJnt4Z9HDO7/8le+8s9FPy/LZI3G43Ly+XjplFBXo6cUorGuhTuZoYG9Q9Dvl5+c7\ngbuA74AjwMf5+fmSPOgSo4J584HLmdWNdz7qYzdp99nmNzfmSf78Yzr1s/fI1M9W3J2tgGdW4j0r\niiLvrj3IPf/6Rjaf7EVpXStf7y8kItDIkknShBK8OMWdRcvizlo7HJjtTqIDjDL5YWX8stdRypf5\nTKnw8s4PXjWddquHd/5gve8CCTfN9sw2v7flCM0SG7GCDJ5ejKoWi6xeDKUezV08808wVph7srqL\nT56TlSqZT/bC5XZ3qbHdOlfazLIXDeYOTtS2kBQaQIzMxsaKVo/3crQEk4zuUMoveyUsz4Vwxvyx\nabz+m8uJDQvgrTX7uf/l1bT5OMc/aXAMWSme2eZtx6Q3W3bpZyv0fD4Tin+n/Pz8b/Pz89Pz8/PT\n8vPzH5ezhkmv4/FbzuP2iyZQ09zObc9+zpc7fIvvc0Ymkh4b2tVYIQWGbj6bcvSzYwOVqYAZFc5r\nyjk1mzvsPPLG97z4+S7CAo28fM8iLp0qfWwDzpxZHomfjIdWqS42nDqRyREVAeXzy3LmM6VAEAQW\nzxjBS/dcSrC/gRc+3cEf3lqH1QfZzNAAA0unZsiebVain61Vq4j093g0t8kYKzk1z/zjjRWKosin\nWw9zx/Nf0NBq4a5Fk/jbzQvOKqrTG7496GlQXTg2VfLMshfeBryJMuxPwVORkuu9DMrnlwFsjnMX\nmAEGx4Xx9kNLmJiRwI7DpSx/0lMJPBsEQeDmOaPQadS8sylP8mzzsJgQAvQe/WxbP+pnDxhJTpVK\n4Kbzx/LcnRei12l47P1N/O39TdjOErRUgkcAXq0SeGO9dENsb2lITsaj1KP5x+48PVnVyI1PfcKG\ngycZPSiGdx5awgiZpTFQNrPsRZcudkK4ZDESLypbzAiC54QmB/01vyzv1b5jVGo0/3l4CaNSo1m7\nv4Bb/v4ppbVnTygXZCYzKCqYbccqyJYotZkafko/2yxDP9vbASxneuLUPLNLVuer1Oejw+7ksfc3\n8eRHWzDpdfzjrou4fn6WrCoOQH2rhY93eGaW7zg/S9YaHl3sWkx+WobHSJ/th1MHBzney6B8flkU\nwe50n1WqVimCTHqe+8UFLD9vDOX1rdz89Kd868NUQmSQkSsnp9NqtfPuFmnJq1qlYnxSJDani+yy\n/tPPHjCB2YvJwxN556ElpCeE88WOo9z+7NnFFjyzzYNpaO/g4+3SZptjg00khnr0sxtkzFwq8WhW\nyjNLKdWt3V/ATU99QklNM9fMyeRfd19MmExZPoDGNmvXzPINM6XPLHuxS4FgAni9l+1EmgxoZZwG\nPGsMPH65N4QHmfj33ZewZMYICiobueHJVWw42LdjjsrrXiQIvL5e2mxz18ymW2SfDMESr/RjkUzL\nVm+yJIdnljLvX1bbwi1//5Svdh7rsukcPzRe+gfuhCiKvN45s7xs1nCCJI4PeuHRxXYxLilC1mkX\nlHkvg3J+uT/GpHyFWqXizksm8tRtC9GoVTz6znqe/njrWUeiLhybSnJEIJsOl5FXKi3AevWzd8vU\nxegJAy4wA8SGB/LqfZdx4aR0jpbWseyJlWzLLe7zNZdPHExMsIlvD52ksFpaWXpiSjQi8mY2T81r\nym1wUcAzd/7b1y3ncLp4dtU2fv/mWgRB4G83L+DuxVPQqJWd797c6JlZvm76MEL85W06dW1WChXo\nYsMp72W52r9K+WX4cTce8HjMPnDVdP5v+VzcbpHfvv59p5pe73dCcrfZ5lW78iW935jECHQyezG8\nHs2Vze2yrPK8DmFKeea+PvWmQye5obP0edm0Ybx63yJiwqSPaHXH7hNVHDhZw4iEcGZkyAvwntl+\njy72hGR5FSml3sswMOaXpWJmZkqn5WYoq7bknVVNT61SdRPmyZZ0rwZ2088uaeyfjvMBGZjB48P8\nh+tm89trZtJhd3L/y9/yj0939Lr56DRqbp03ClGEV9YekuRsMyI2tFM/u1ayfrbJT0uQXketTI9m\nJTzz2aQHK+pbufWZz/h4Yy7J0SG8+eBi5o4ZJPl9zsSegir2FFSRERfKnJG+qx6dCSXygl4o8V6G\nfuCXOxu/znWZriecN34Ibz24mOSoYD7ckMOdz39JTR9NWldMSSci0MCX+woprvO9tNxdP/uYDJ3i\nuECPVaocj+ZzyTM7XS5e+HQHD3XzF3946UxZvRLdYbE5eGtjHlq1ilvmjZJdCi9vaqei2czQaHm6\n2KDMexn6h1/+saieM5EYGcwbv7mcheOHeCwkn1jZp5RnWnQI549OparZzGe7T0h6ry5K9GT/NIEN\n2MAMnjLaoqnDeKPTv/b99dnc8dwXvW4+IxIjmDksgeK6VlYfOOnz+5zSz3bJ0s+OCzLiFqFaxsZz\nrnjm9QcKuf7xlRwtreOCiUN464HFpESHyHqP7rDYHLy5IReNWsWt8zIlz8Z6YXO6OFBaR4Bey7AY\neZ9Lqfcy/HT62P2F1BjPGM/8sWnknKzmusdX9Lr56LUabp2b6Wna+z5bkpxhVxOYjI1HiUfzueKZ\nK+pbuf25L/hgfTZJUcFn9ReXgve2HqHJ3MFlEwcTK3E2tju8v/XkQUoSV2VjUkr5Zeh0lBJ69yg/\nlzD4aXn0hjn87tpZ2BxOHnx1Dc+u2tZrafuqqUMJCzDw+d4TlNX7Tr+khAcSGWDgcGWjrEbHMzGg\nA7MXQ+LDeechz+aTW1TDdY+vYOOhngPv9TOHEWDQsWJHPrUSystd+tkyfDZPuelI33j6m2e2OZw8\n9dEWHnnje1xuN3+8fjZ/WnZ2q0Zf8WGnH/ZlEwYTr6Dcd6isHpvTxfikSMmqbV4o9V6G/tHHhp/2\nQTLqtfzlxnk8dPUMbHbP5vP0x1t7NHkZnRLJtKFxFNY0s/qg78lrVKCRFJkzm4F6HcFGP9kezUp0\ns3sKzN/tPc51j68gz+sv/uDZ/cV9xZHyBtbllJAQFsCi8fJmlgHaO+zkKpjtB6/3slW29zIo55e9\nHuV+GvWPXlHyQhAELpmS0VVd+nhjLrc+8xnlPVSNDDoNN88Zicstdo25+foeXfrZMr3Mu+NnEZjB\nM1LVffN5+LXv+Ot7GzGfkZ0EGvy4YeZwbE4Xr67zfWg82OhHRkwIlS1myiTObAbpdRh1Ho9mOVm9\nEp65e6kuv6yOG55YxSdbD5MWG8rbDy3hwkl9G7ZLwfHKRr7PLiYu1J9F49Nkr3NKF1tgvEzuDJR5\nL8PPk1/uDV7/2rcfXEJqTAirtuRx89OfcLKq8Qd/u3zWCAL0Oj7efkxS8qpkZjMlIlC2R7OSqlL3\nef92q50//2c9f3x7PYjwp2Vz+L8b52HSS3da6gl2p4tX1h5CAO5YMFp2sxbA3pI6XG6RSanyZvsB\nqtssuEWliWv/8Mt+MitS/YlBsZ6RqgsnenqXrvvbCr7YfuQHMWLcoGgmDY4hv7KJdTnFPq+flRCB\nn0bN3uJaWQlod/zU+4kkeDefdx6+gvSEcL7aeYxlj68k9wxfzOkZ8WQlR5JTUsfmI2W9rPZDeDee\nnSelzUMLgkBcoAmnW6ROhhuPIp4Zj4jBu98d4KanP6WouoklM0bwRj+Vrr1wuty8sjYbEbhtXqYs\nMRIvihvaqGm1Mjw2hEAZ9nPQzXtZJ897GZTzyzBwArMXqZ0KVYunD6egspHlT67iww3Zp20UgUY/\nbpjlSV5fk5C8ZnSf2ZQYJFM6xTnkeDQr9WdWAbmFVSx7YiWrdx9nWFIk/3n4in4rXXvxya7jVDWZ\nOX9MKoNl0jPgme3fU1SDn0ZNVkKE7HW6xqRkJq79wS977xKdZmA8IQY/LX/sTMjUahV/+2AzD7yy\nhsa20+/LG2ePxOSn5b0tR6j38Z7106rJSgintcPOkSp5ntFeDIxfSyJSokN44zeXs2xBFhUNrdz+\n7Oe8/NXurjEQQRC4dd4o9Fo172w63GVQcDakdvIEeRWNtErkCbxZqZzubCUngsqGVu57/gte/2o3\nwSY9L/zyQh64ajp6mZxrb/h093HKGtqYNyqJjPgwRWvtLvLKC8rnzmraOr2Xg+R5L0O304DM3+qn\nbPzqC3qdhgevnsFTty3E6Kfl+U92cOfzX1DWbZZ4ekY8mUkRZJfUsfVon/L2XVCrVExIjsLmdHGo\nXJqMbVSgscujWWpntxJ/5g67gxc/2c49z39OZUMr188fzav3LZKl4tUXiuta+HJfARGBBq6eoqxK\ndbTKs/9kJYTLPmm63R7vZaNWQ5DMikB/8MsD6cTcHeeNG8wHv7uKsUNi2ZpbzDWPrWBLzqnejBB/\nPctmDqfDIa3yeqoXQ9rh7kz8LAMzeEZGfnnpJF66+1Iig/15a80Brn98BdmFVQCEBxq5dvowzDYH\nb2zI9WlNQRCYlBqNWwZP0OXR3GqRzBXL4ZmdLjfvrzvENY99TO7JamaPSePd310lS8v3bCiua+Gz\nPScI89dz3XR5KmFetFjtHK5sIirQQLICjrpc4WkAwNyZCBlknv4H2mn5TMzMTOGD319Co/0mAAAg\nAElEQVTF7NGpZBdWc+3fVrBiUy5ut9iVvPppPMlri48ShuOTI1ELguRejO4ezXL0AuTwzIcKqrju\n8ZWs2JhDXEQQL957GXctmqyo2tMT3G5PM53LLXLrvEzFSbF3U1cyrVDbbsWpNHHtqijJ/728UrVy\nqaJziagQf1781SXcs3gKZqudB15Zw+/e+J6GTops1vAEMpMiOFRcyxYfk9eIAANpkUEUN7RRJXOE\nFgbunuIzsgbH8v7vruTKmSMpqW3mtmc/56mPt9ButTM/M5mMOI9c567jlT6tNzohHL1GzZ6iGpwS\neALPxmPC5nTR4OMm1x1SeOajJbXc9PQn/OOzneh1Gh5dPo8/3DQff5kiBn3B6XLz0neHcLlFbp8/\nGqPMsrEX3lnYyQq4M7foOQ3oNWpCZY6RuEWRDqcLvUatmF8eWGeB0xEaYOTxWxbw15vm46dT88zK\nbdz27GccL6snMsjE1dOG0tZh5431OT6tF6DXMTwulNo2K0USulahW5PkOa4qtVpsPP3xVu54/nPK\n61pYOieT1x6+kmEKAl1f+OZAIYU1zczIiGe0DBeu7qhusVDU0MagiCAiZOpag3KZWlBeUeruUS73\nWT/XUKkEls7J5J2HljAyJYp1Bwq56i8fdklC3zovEz+tmrc35vmsNT9ZJiV62ueS/coBBJNex/1X\nTuO1+y4jOTqET7YcZulfP2Lt/gJum5+JVq3ijQ25tPugg+qnUTMmKYJ2m4MjlT9snOkLXSpgsjae\ns/No7VY7z67axk1Pf0p+WT0XTRrKij8sZeE4T/dnf5rCe/HlvgKKaluYNTyB0Qo9Rx1OF3uLazBo\n1WRK8E49E/XtHdhdbuKCTD/paeDHVPxSAkEQmD82jY9+dzVzslLJLarhhidX8cyKbUxPjyM9NpRd\nJ6rY6WPyOilF3uhUpMmAVqWiokV6VckXntntFvlq5zGu/PMHrNqSR2JkMK/cu4h7Fk/BoNP0Ou+v\nBBWNbXy0/RiBBh3LZknzlO8Ju4q8p2X5TZGiKFLZYkGnVhEmM1kXRRFLP80vD/TnAzy9Ga/edxm/\nuXI6LlHksfc38YsXvqTd3MG106RVXodEBRNq9CO7rB6LXbqMLfw8fjOfMTI1mncfvoKbzx9Lc3sH\nf3xrHX96cy1T06Jpsdh4e5NvDlTejUdqxhPlb0CtEqhoMUveeLwnAnMPJwKny8WqLXksefR9Pt6Y\nS1xEIP+6+xL+cP1sgvz1XTOCLvp34ylvaGPVruMEm/xYNlP5prP3ZA1mu5NxyZGyXHa8ONXU0g/d\npgrKjt6NZ2CeBX6IsCAjj99yHi/cdRFxEYGs2JzLVX/5iIzIADQqj1ynLyXtxFB/YoNMHKlqpElC\nWVqlEogJMmJxOGmWaBagEgQM2t555mOlddz67Gf89b2NWO1OfnnpJN5/5EoyB8UAypymeoPbLfLv\nNYdwuNzcNi+TQIO86o0XVruTQ2X1BBt0DFXQuNlosdHhdBEbaJSvM+By4+4nfvnnEmRUKoErZo7g\no99fzYxRyRw4Ucm1f1vBoWOlpEQEsvuEb5VXlSAwMTUap1tkX4l0S2H4+fxmPkOnVXPbRRP4+A+n\nTgfvrN6LrbWdDbnF7CmoOusaYf56hkQFU9roUd7xFWqVipgAI+12J60SBf+1ahVatQprN55ZFEU2\nZxdxzWMrePrjrdgcLm6/aALvP3Il44bEnfZ6pd6zZ8LtFnnpu0M4XW5unTsKf4UjJaIosj6vFAFl\nTV+iKFLRakarVhEh03sZlJ+YxdPKdLI/xk+CSRkJfPDIVdx58QTMHQ5e+GQHbfXN1NS38LoPJW1B\nEJgyyCNjK9V1Kr6ztFquoKrUnWcuqWni92+uZflTq8grqmFu1iBW/HEpyxZkncYly3GaOhu+2l/A\nieompg2NY8LgGMXrHSitw+FyMzElSnZABeXd2HAqcTXJnF+GnwfV0xOiQvx56raFPHPH+SRGBvHZ\ntiPsPlhAW0s7r607RKsPyevYTkvh3SerZVkKqx999FEZH102HrVYlKui+IIAox/zxqQxbkgcJyoa\nKKlqoq3FzK78CsYNjiH8LDetQacmu7wBl1tkmARXF7coUtFiQa9V/yBwmEx+9PX9bU4XHU43Jq2G\nvcfK+Ot7G3lv3SHarTYumzqMJ25byNQRST3OR4p4Nh010B99Fl/tK2TTkTKmpMexWKbPcneUNraz\n8Vg5w2NCmaDA0arJauN4XSsJwSbig+WpKrncIrXmDgwaNSEyx7XcgBPQAGoff++zXf8fE2q1itFp\nsSwcP4Q2i42cwmrM7VZOlNWh0ajJPAsfG+FvYF9JLeXN7UxOjT6rSIz3uxt1Gk7UtdDhdJEWLr0z\nutXmQK1S0dpm4flPdvD4B5sprGwkPSGcP98wl2ULsvDv5Zo68VQ3NP3wfJQ3tPH8N/sJNOp4aNHE\ns3Ydn+3au0WRlfsLcLrcXDE2TXZFSRRFDlbU4xJFxsaHyw7wDRY7dpebKH+9bI9yO57fWycMrHvf\nFwiCQGJUMJdNG0ZYoJHswiqams00NLZxqLiWOZkpfV4jrVpFi9VGYX0rsUEmkqOD/yzl/f9rA7MX\nMWEBXDIlg/iIIHKLamhqMfPF9iNU1LWSHB1CcC+nrlCTnpzyBkob25iQHOXzg2LUaThe24Ld5WZQ\n2OmKPWe7OZ1ON+sOFPLcR1v4aGMONU3tTB+ZxBO3LeSiyUPP2njVXxtPcV2LZ9Mx+PHwogmKtYMB\n1hwuobbNyqWjUwiR2bAFUFDfSr25g+HRIQTKPMVb7E5abU6C/LSYZJaynXiCsxbfE6GBuDkFGP2Y\nmZnCnKxUKhvaKKlqYu/RMnYcLsWk15EUFYSqh6CrUgnYnS5O1LYQZPAj/izSk97vrhIEmqw26s02\nEoJNkowVNCqBAwXVvP/9AZ5ZsZVjZXWkxITw8NKZ3LN4KnERfQd6J54EVqvw+XC53Tz5+R4a2qz8\n+oKxXTPafeFs1/5oVRN7imsZmxTJKAX9Fy0ddo7VthAXaCIxRN7UgyiK1LR3oFEJhMvlqPH83mo8\n+9FAvPd9gUqlYlhSJJdNG4boFsktqqGqvoWVm/NwutwMig3ttQs/xOjH7qIazDYH0zLiJQXm/h12\nHaBQq1RcMDGd+ePS+OW/13CksJLVe46zes9xxg2J45KpGczKTDktAKkEgUmpUXyTW8Ke4lpmp8f1\n8Q6noFOriQwwUNNmxWxzYPKhi7mmqZ3v9p7gs22HqWxoQyUILBiXxvXzshiS4NtDKtV7tjfYnS5e\n/PYALrfInQtGE6ggiHrRYrVxuLKR+FB/RSNS4CnTqQWBKAUdq6dkBv97hEWUIjUmlOd/cSGvfneA\nD9Zlc6Sklt+/uZbIYBOLZ4xg0dSMHySxE1Ki2Hy8kp0nq5mQHOkzFxkXaKKixUJFi9mn5MrpcrHh\n4ElWbs4jp7PvIzEyiFsuGMe8sWk+SboKAqhET1XJLSqrKn2xt8DThT0snnEKdKy7Y0fnmOcUhZ3j\n3jJ2vIIyts3pxi1CgJ/y5+PnVsbuDf4GP+66bDILJw3h1y+toampnde+2ct7aw+yYPxgLp40lBEp\nUac9A1GBRlLDAzkpcXoB/kcCsxdatZq/XD+L+/+zEYu5g1Ctin3HK9h3vIJAox8LJwzhvHGDyUiK\nQK1SMTYxknVHy9l1sprpaTE+S+zFB5moabNS3mImPTK4x7+x2hxsyi5i9e589uaXI4qeIfz5E4Zw\n3qShTBsSK6npQhBAEE95z8qlqD7efozS+jbmj0pijILO0O7YXVSDW4Q5IxIVjU20dthpszmICzKi\nkamvDac6ew0K+GXvfOYAHM9UhFvmZ1HVYuXQyRqSgvRkn6jkpS9389o3e5mYkcC8MYOYPjKZAKMf\nAXodI+PDOFRWT0FdC4N7udfPREygEQGPpGpGVM9NTk6Xm4MnKtl46CQbDp2kqVPKc2x6HLPGDeG8\nrFSCJNIQKjoDM/ITqpM1zazcmU+ISc/yWfJ9yLujstlMUUMbaZFBRMq0P/WivMWMShCIVrCO2aFM\nhhN+PhMLUpEWE8ZvrpjGv787iL9KoKGhhS+2H+WL7UdJigrmwknpLBw/hKjOCtLUtJj/H5h9QVSw\nieWzRvDquhySkyL4w3Wz+WrXMb7elc+KTbms2JRLkEnP5GEJTBmeyLDIYA5WNpBb0UBWom/yeHFB\nJvaX11PRLTC73G5yT1bz/c7j7DlWRnZhdZfn56jUaC6YmM7cMYOwuNw0dziwOl2SHww1p8p1cuLF\n4bJ6vt5fSHSwiev7oQsbPEL6e4trMeo0TBgUTUuTdElGL/qjqcXlFulwujFo1LL5N7Hzv/+W00B3\nqFQCvzx/DA/8ZxMNDjevPnA5+46W8c2ufLbnlbA9rwSNWsXEjAQmZSQQFR6I2y2yo7Da58Cs06iJ\n9DdQ027FYndi1GkQRZHqxnbyimvYfbSMLTnFtHR2fAf767lq9kiWzBhBWLA/ZS0WOlxupDLUasCB\n/KpSh8PJC6v343KL/OK80YobIr3oOi0rPH232ey0djiICTSiVaDT3V/CIvDfF5gBZo9IZG9hNftP\n1nD7ZVMJN+n4eucxNmcX8e8vdvPvL3aTGhPCpIxEJmbEc+Nk6Upw/3OBGWDuyCT2FlRzsLiW3ORI\n7lo0mTsunsCOw6Vsyy1hx+FS1uw9wZq9Hk9OvV7L0bxi5o1MZkh8OFGh/gQa/Qg06gkw+qFRq3C5\n3XTYnVhtDiw2B031rRyobmL3vgLKa1s4XlFPq/lUN19aXBgzRiVzwYT00+UBbQ6aOxxY7NIDc/fO\nU6kPhMXm4MU1BxEEgV+dPwZ9P/DKANnl9VjsTmYOiVU0IgWewCwAMQHyTwPejl65bjnw373pAIQH\nGLh13iie/2Y/b27I4y9XT2PpnExKa5vZcKCQdQcKu4I0eGxTDwYaqSmrY1B0CFGhAUSH+BMV4o9e\np0EQPCdgl9uN3eGirtlMc0Mbh0tqKD5RRV1jG3lFNTR00yQOCzSyeMZw5oxOZXRabFe1yi2KCMjT\nzVbamf32xjyqmsxcNHYQmQqFRLxo67CTU9FAuL/e58SmN3hNXZSUsT362E50nVMi8tYYmFK1/QVB\nELh9fib3/2cTH24/ypPXzeSvN82n1WJj3f4CtuQUceBEFR9syOaDDdn4aTUcff8+Se/xPxmYBUHg\nzvNG88C7m3h/6xEy4sIYFB3MjFEpzBiVgiiKnKhoYMfh/9fem8fJcZb3vt+q6r1n30cjjaTRUtoX\ny/K+YGODAYONsxAD5wQ42W4Cl4SEBJKbk3NzcwIcSMIJubk3C2S5JCQEJ8ZgfLGNscE2tiTb2iyr\npBlJs+9b71tVnT+qa6Y1a/d09azv9/PRRzPT3dXVS73P+2y/p4s3Lvdx7togvf3j/MM8wuQelzLl\n/c7Hptpy3nnTbg5ua+TG3S3UzhNqul5opLD8bjF55q8+d47RcJyfvmV3UQL8uZimyUvt/VZfXxGV\n2GAVbI3HUzSW+Ysy8DEHB1esR4/Z5ja1hTeuDvHChW7+7Scaj96xl9aGKj7ywDE+8sAxekdCnG7v\n4+yVQU5oPfSNhHjshfx0AuaivjLIPUfaOLi9kUNtTezf1og8R57A7meOpa35zIVUDBeT7nnlUh/P\nne9ie0Mlj97u3MS2E1cH0Q1LCa+YFimAnglr47qpiDB2IqNjmMJbXoyqoI9fvu8wX/rOSb785Cn+\n+NG7qAh4eeTO/Txy536S6QxnOwZ45a1uLnYV3su8IQ0zWG/sJ951A3/02Ct8+clTfOHDd09VPUuS\nxO7NdezeXMdH3nkDnaNh/uIHp6l2u9heGWA0FCMUSxKKJgnHksSTabweF36v2/rncVFTEWA0nWHH\nphoeObYTn8dNfX05w8PhBc/LJct4FZl4WscwzYIu1qUa5h+e7+LHb/Wwo7GKR24uvjXK5tLQBEPh\nOEc211FZpPiCE2FssPJnEkvPL8P6zZ/N5KP3HOBi7yiPn7jM4W0N7MsZXtJSV0FLXQXvuWUPumHw\nuSdPMTwW5r7dLYyFYwyORRgcj5DK6JimicutkEplcCsK9VVBGqqCjKUySG6FR2/eQ2sBQyUCbhex\ntE4snSl4sthS0j0joRh/9cwZvC6FT777mGNa22nd4NVrQ/jcSt5psvmwNq5JGlbRxnW9Xx837Wrm\n/kNbeeZsJ3//wnl+6b7DU7d53S6O79nM8T2bl3TsDWuYAQ5tbeDh4zt5/GQ7f/3sWT757hvmLE5q\nrSmjrbGK3vEo77hJpbYsvxaCH1zuZSyWRCqwUCngcZGMp0ik9YIqh+3K00I8gq7hEF997hwBr4vf\nePBYUTNkZ/JSVszl9p3Fiy90T1gzsotR+9INg2TGIOAuIr+cU/i1HsN0uQS8bj7xrhv4r//6El95\n6nX+x4fvpnyOgitFlrlrz2a+/2YXlXUVvHeOnNpcm1JtaIKz/WNk8m0Et8/Lo0AMoqnCDXOh6R7D\nMPnKU68TTab55fsPs6lmab3zc3GuZ4RoMs2dO5sLahubCyeqsSFXEW/jCYsshZ9/2wEu9Y/z7NlO\nDmyp47Y8u3cWY71vahblZ2/bw+7mal7Wevnh+a457yNJErfvaMZkulAjH+yLpFDt7OlwduHZsEK8\n5ngqw59+9xSpjM6vvvMoDUVe1Ln0TUTpGA7RVlfBpqrijhtPZxiNJakP+orKfUcd8AZsDZ+NsOgA\n7N5Uw8/cqjIajvPn33sNY56xi8e3NuBxybzc0Z/38JelDrXwu5Rsnrm01wfAt17ReKt3jJt3NXPv\nAecmt5mmyUsdA8hScVOkbGwltU1FbFxtfWyPIhfV9bDWpGqLweNS+I0Hb8TnVvirZ84wMB5x5Lgb\n3jC7FJlPvucYQa+br/3wPD2jc4ea92+qodLv4fWuYeKp/ApPWpYoPzitm114gUu+msCmafI3z56h\nbzzCg8fauMkBrzaXl7IbmDsckCqc8gaKNPBOeAMbJYydy/tv3sXR7Q2c6RzmW69oc97H73FxfGsj\n4USas90jeR23zOumyu9hMBxftEYjF0mSCLgVUrpBRi8scVOIYX7tygDfeuUS9RUBfvm+w45OSOoY\nnmQgFGNfcw1VRWoFJNIZRqIJagNe/EVsOuMZHZPi8svrvfBrLjZVl/FL9x0mnsrwZ0++VtB3eT42\n0voyL/UVAX7lHYdJZXS+9MRJYnPoXCuyzK1tTaR0g5Od+c1qLvO6qfJ5GIzESen5f1iKLOF1ySSy\neeZCyLfy9Nlznbx4sZfdzdV88I7iZizPZDKe5GzPKA3lfnYXWWkK0D3hTH45ltat/HIRYcONkj/L\nRZYkPvHADdRXBPjWK5d4fZ6pUrftsAqYftzen/cQly2VZZhAb6iwNjo7xTPX0JeFkCTrs7PTPfPR\nPx7hK0+9jluR+a33HZ9X5nOp/OiytXG9c9emoo/Vl33vit+4CuGdpXLH3s3ce6CVq0OT/OMLbxZ9\nvI32/s3Lzbs28d5jO+gbj/A/n5w7ZHdjbrguz516S1UQ04T+QhcetzWmLl7owpP9f6GzuzI4wd//\n8DzlPg+//uCNjuaVwZrKZZgmt+9oLtrLsL2BuqCvKG8grRukdIOAZ+nTcmDjLjxlfg+/+d4bcSsy\nX3nqdQbnGO5SFfByqKWWoXCcS4MTeR3XNiY9E4WFAINT85mX3jY13zWSSGWyG/QMv3z/4bwkNwuh\ndyJCx/AkbXUVi0qZ5kOPQ4WRsSlhkeIjShsl1ZPLR+85wJbacp4+c43nznUWdayNtr4syIfu3MeR\nbQ28cW2If37xrVm3+z0ubtpmhetO5xmu27zEPFowj/mzcyFJ1kUx3+zZsXCcLzx+goxu8GsPHKWu\nCGnLuUimdU5eHaLM6+ZwnnKiC9HjVFGLA6IJGzFMl0tbYxX/5e2HiCbT/Ml3TpKaY9Nopy5ezGOK\nG+SEsyOFhbO9LhlZmk5PFMJChtk0Tf6fp0/TPRrmgSPbuWvfloKPvxg/znrLd+0u3ltOZXSGwnGq\n/B6CnsIK4XIxTJN4WsfrUH55IxoWr9vFpx+6iTKfm7/5wVku9Iwu+Vgb8f2bF1mW+OS7j9FcHeSJ\nU+38+K2eWfe5bUcziiTxo8t9eYWZK3weyr1uBkJx0gWEs23v0A4vFcJ84exEOsMXvn2C8WiCD925\nzzHJzVxOdQ6RyOjc0tZYlPqQjdPeQFC0gRTFvQdaufdAK9eGQ/zl06dnXQPNlUF21ldyZSREb55e\n8OZKK6rUV0BUycozu0gbJqkC88z21myuK+u7r3Xwk0t97GmpcWQG+UxGownO947SXBlg5yJDN/Kh\ndzKKCWxZ4qQ1m3g6m18uIowNOR0LRR1l7dJUFeRTDx4H4E++c5KhJYw3hY29xsxJ0Ofmdx66Gb/H\nxf/79GnaB64XFan0ezjSWsdoNMGFvrG8jrm5MohumnSOLNzDnIsiS/hcCvGMPudg+IWYyyMwTJO/\neOp1rg5Ncu+BVt57446CjpkPumHwckc/bkUuWlAEIJHWGY5YRS3FLBimaRJNZZAly9NaKhupDWQh\nPnbvwalOhm/MEVm6M+s1257hYthGpaeA2efA1GSwQr3m+dI9J9v7+fqPL1Ad9PKpEqR4wGohNLFy\ny04Uk9n1F8VHlOyNaxH1F2t4RrmTHGit42P3HiQcT/GFx0/MWbO0GMIwz8GmmjI++e5jZHSDL377\nJCNZAX2bu3ZtQgJeuNyXV5GLvfC0D+SXd7Oxh5THCwxnz+URfOPFtzjRPsD+LXX8wtsPOVphanOm\nZ5SJeIpjrfUEigir2fSGnKnGThsmGcMk4C4uv7wRK7LnwuNS+O2Hb6K5Ksi3T7bz9Jmr192+o76S\npooA53tHGcvqXS+EXSQ5EIkVVCQZKCLdI3N9uudi7yhffvI1PIrCpx+6iaoljjtciEgyzWudQ1QH\nvBzYVLv4AxYhmdEZisSp9nspK7CfeyZRUfjlKPcf2sYDR7bTPRrmz596veDHi/dwHm5oa+TDd+1j\nPJrgj771EyZj0zrXdWV+9m+qmerVXYwKn5tyr5vO0RDpAsJu021ThVeeSkxXnv7wfBffPtlOc3WQ\n3yyRJ2CYJi9c6kWRJEcqTWHag9pcWVyYzvaoljp72WYj9WcuRoXfy2cfuYUKv4evPneOUx0DU7dJ\nksSdu6y+/3xzzZuzRZJ9k/mHs61+W4loSs+7Ctwmd/PaPRLiC4+fwDBNfvO9x9nZ5Iwk7UxeuTJA\nxjC5fWdzQVKi8zEdxi5u42oNdtGLGuwCIqI0k59/234Oba2ft4thIYRhXoAHj+3gfTfupG88wn9/\n7CdEE9MhCbtw44VLvYseR5IktlSVoRsmfaH8w3V+d1ZIoYgCl1cu9/FXz5yhzOfmMw/f7Hjbh835\n3lFGIgmOttYX3ZcJljcwHIlTU2QYG5ypNjXN6YlSGzlMl0tTVZDPPHwzbkXhy0++RnuOlvzBllqq\nA15e6xwilEgteqzNdji7gJycnWfWzcLzzPb1MRyO88f//grRZJpfeccRjmx3ZjjFTBLpDK9cGSDg\ncXGsSPlNm6kwdrFtUg4MdgERUZqJIsv8xntu5P037Sr4seI9XABJkvjQnXu57+BWrg2H+Pzjr5LM\nfolbqsqmily681B7sXe13QXk0eSskEJSN/JWU7JRgNc7+vnz772GxyXzmYdvptmB1oy5MEyT5y/1\nIktwtwOVpjDtDRSbO7PyyzouWcJTRKRALDpzs7O5ml9/zzHSus7nHn+VrmwESZFl7t69iYxh8uPL\nfYsep9zrptLnYTAcKzCqZBmTQqNKChBNpPgf//EKo5EEH7pzL3eXoALb5sWLvcTTOre0NRU9ZQ2s\n+ouh7Ma1mGpssKRNobjCyI0kVVsIQZ+bR+/YW/DjxDqzCJIk8QtvP8Rtagta3xhfeuLkVA+z7TX/\n+NLiC0+Fz0NtmY+BcIF5NFtIocDq7NNXBvjL757Cpcj87iO3sHtTTUGPL4SLA+MMhuIcaqmjxqHc\nXI9D3kBKN9DN4vPLIn82PzfuaOKX7jtMOJ7iv/3bS1zJ9jAfba2n0u/hxNXB61JB87GlKohhFiZh\nG1hiAVg4nuSLj/2E3tEw7zraxvtu3FnQ4wshrRv8/2eu4XHJ3OpQJ4TdfllsGBtyhHccmCglwtjO\nINaZPJBliY8/cJQbtjdypnOYL33nJMl0hra6ClqqglzoH2Moj1aPnY1VBefRliKk8MbVQf7su6dQ\nZJlPPXwLe1qKLzSZD9M0eV7rRcI5bzm3qKVob8CB/mUQC89ivP3gVn7lHUeIJtL84bde5lLfGK4c\nr/mZPAQX7E1YdwGG2aPIuGWJWDqTd555LBznD775Ep1Dk9x1oJX/dPf+khRD2py4OkgonuLWtiZH\niiJheqhLsfUXQnhndSLexzxxKTKfevDGqWT+H/7bTwjHU9yjtmACP7g4u+d5JjsbLXnK7gJUjiwh\nBYloKr+F51THAF964iSyJPGph29m9+baBaUHi6V9aJLeiSj7N9XQUMQc2Fy6JyKYQGu1A97AlD52\ncWE6HRGmW4x7D7TyiXfdQCKl80eP/YS3ekY51tpAhc/D8xe6iS7SNlLu9SwtnO1xYZiQyCz+mIHx\nCL//ry/ROxbh3cd28JH7Dpf0Q01ldH50uQ+fW+EOh/ToE+kMw9Hi2wjBmTYpEBtXpxGGuQA8boXP\nPHwzd+3bzOWBcf6Pf3mRKp+Hlqog5/vG6F9kp18Z8FLt9zIYjpPMU+VIkiSCboWMYS64WJmmyeMn\nLvPFb59AkiR++6Gb2J9V3ip0PnMhPJ8tfrt7tzPjzgC6sjn7YkUTrGk5GdxF5pc32kSpYrhj7+Zs\nztngv//7K5ztHOauXZtIZYy8KrTtcHYhSnn5RpW6hkP812++xHAoxs/dvocP37kPSZIW1ZUvhhNX\nB4kk09y7v9Uxb7lnKoxdfM2IE21SMF2DIfatziAMc4G4FJlfe+dR3n/TLgYmomnXdKsAACAASURB\nVPz+v7zI3uyghmfnUAqbyZaqoCXav4Q82nwFLumMzv/9/Tf45xfforrMxx9+4HYOba3Pe9LUUrk6\nEuLaaBi1saro0Y420VTaGvFYVpw2NkAio2OYxbdJicKvwrhl9yZ+633HMU2TLzz+Kl2DE5T73Lxy\ndYBYamGvuTVrbDoLGJ9nVxNHF8gzn2zv5w+++RIT0SQfu+cgj9y8GyXrKZfq+khldH7U3o/XpXD/\nwa2OHdepamx746pIEt5iNq5CWMRxxFqzBCRJ4tE79vILbz9EOJHia8+eRdEN3uofo2eRBcXe5RZS\nnb2QwtFENMH/+W8v86MLPexsquJzH7yLtmzIPN9JU0vBNE2evmDNr77HoeHgMP2+tK4ib0Dkzwrn\nWFsTf/iBO6ir8PPYK5eYHI8RT2Z4qX1gwccFvW5qA16GIvG8hXVcsoxXkYnPMY0toxv8/fPn+eIT\nJ0lldD7+wFEeOLodyH/S1FJ59eog0WSa23Y0EfQ54y3HHRrqAlZhZMYwCXgUR/LLIqLkHGKtKYJ3\nHN7Gp993Ey5F5mLnCH0Dk3x3hgrSTAIe19TCk8hz4XHLkiWkMKPA5UR7P7/z9R9xqX+c29UW/tvP\n3E512XRVdD6TppbKxYEJusYi7GuuZktNuWPH7RqPIEnFt0mBM20gIDzmpbKjqYrPf+huDm+tp6N/\nnO6+cZ670L2411y9tM3rzGlsQ5NWROt7r1+hpaaMz33wrllDKQqZz1wIqYzOjy/34XUp3L7DuVnn\ndreCU9XYIK6P1Yh4L4vkxh1N/Ml/fhuHt9YTi6d4/vQ1nnitY8HHbClQTEGSJILZApdkxmA0HOeL\n3z7Bl544STiR4oN37OV/f/cNeGYUcOROmipQbntBjKy3LAH372t17LihRIrJRIrm8kDRvZ66YRLP\n6PhcSlEqSyJMVxzlfg+fff8t/PzbD5JO63R0jfDFJ05dJ9Yzk82VZUhM1xrkQ3CqrTCDbhg8d66T\n3/76C3QMTnDXvs187oN30VpfMetxpUr3vHJ1kGgqw207mvAXGbHJpXM8goSzG1cRUVp9FPWJqKr6\nReBBIAV0AB/VNG3SiRNbS9SU+/ndR27hGy9f5NsnLvP1F97kQvcIP33zbnY2z5b321wV5HTfKN0T\nUXbW5TdhJuh2MRZL8uQbHTxxop14KsPellp+6f5DtCzgscpYO1p7XKETnOkeYSgc51hrPQ0Ojo20\nF2InwthT1aZFqhmJMF3xyLLER+47RFOZnz/73mu82TXMJ772LD93+17efrAVZcaYQZ9bobHcz0A4\nTjiZpjwPHWi/WwHT5ER7P8+duUbPaBivS+FX33mEt+2ff/OYm+5xJthsVU3/+HIfPoe95VAixXg8\nSVO5H1+RXq5jhZE5wiIOqIwKshS7lXsa+B1N0wxVVT8PfBb4TPGntfaQJIkP3r6X8WSaVy/28vqV\nQV6/MsjB1jref9Nu9m+Z7iX2u100lPkYiiSIJNOLCtBPRBM8e66T75++xmQsSdDr5lfuP8zbDrQu\nqm3rdKguoxs8+1Y3Llni3j2bHTqqtVB0TURQZInmyuLbrkQYe/VxbEcTv/He4/zt8+eYnIzztz84\ny/dPX+Xhm3ZxfGfTdcamtbqMgXCcrvEI+xfRrjZMk7d6RvmHF97k2tAkkmS1bv3MrSq1i2wc7RGF\nTnrML1zqI5bKcN/ezY56y/bGdWt18amjRMbAMKHcW6SBZ1qqVuAcRX0qmqY9k/Prq8BPFXc6a5+H\njrbROxkl6FIwkhnOdY1wrmuEHY1V3H2ole21FexorGJrdTlDkQRd4xH2zbHwRBIpOgYmeP7Nbl65\n3IdumHhcCjft3sR/uecA1XkqbC00e3YpvHp1kIl4ijt2NjuiiW0zHk8STWVorSoralC7TSytI0vF\nqRmB8Jid5ujWeg5sbaBrNESDz8OJS/185anX8boUju9s4o49mzm0tZ6WiiCKNGJdH41Vs4qTdMPg\nrZ4xTrT3c6K9n7GINcVq75Y6Hr19D3vyVLqTJJCzfeqGWbzXNx5N8HJHP5V+j6PesmmadI5HcMkS\nmxzYuDoxnxxEGLtUOLedg48B33DweGuSzdVlHN5cx9neUX76pl383O17+Y8Tl3mtY4COZyypQp9b\nYU9LLTFd560rQ6gNVXjdCmndoHN4kqtDIYZzlMQ215bzzsPbUFvrSegGngIuJkkCyZyuPC0mT5pI\nZ3j+Ui9el+KYypfNVBjbAT1vW82orEg1IyEs4jyyJPHAgVa+9tJbVFUF+dOP3MOLb/Xy4sUeXrzY\ny4sXe61QdlUQl1tBccnEQnHcssxELMF4JMlELEnXSIhw3BqOEfS6uXvfFu7avwW3z0NFgSMQnUz3\nPH2hm4xh8o59WxzRxLYZiSaIpTNsrXZm4xpJOZPqsTf8YuPqLIuu8KqqPgM0zXHT72qa9p3sfX4P\nSGma9s+LHa++3rkK3tXKo3ft5a1vvswzF7v5v37mdm471MpkNMnpq4O80THAGx2DnL42NHX/81eH\nrnt8VdDL8V3N7Gqp4fiuZg5vb0CSJMYiCd7sGsV0yQW9jyOhBJFEmsrqAN4iPMgnXusglsrw0I07\n2NqyNO3tuc7bME163+rC51bYv72h6JF4A+NWUV1DTZD6mqUb+nTGIDYWJeB1UV/pTC59I3z/58N+\n7fX15ZzoGuJ89yhKwMPHHz7Or5k38lb3KM+evsbpKwP0j0dJZI3Hpa7R2ceqDHDPoa3cuX8LR9oa\ncSkypmny6qUB4hmdurqyvDdliVSGgYk4Xr+bmvKla713DE5wtneUrXUVvP3o9llppmI++zdHrE39\n4e0N1BfZBZHRDbThEOU+N02N+dW4zEffWBQyBg31ZYum1Tbyd79QpELnmM5EVdWPAL8IvF3TtMWm\nopvDw+Ginm+t8IOLPTx3sYe7d2/iHdnK5fr6cuzXPxFN0DE8ycmuYRrLfGyvrgAJWmvLqS7zzbmo\nGKbJ5ZEwHkVmewEGJ21a1XkewL1EmzcRS/LlH5zB61L41P1H8C7BG8h9/bkMhuP86Eo/bbXlHNtc\n/Ei83lCMcDLD9urgks7Txon3LZf5Xv9GYOZrH5iM8Rc/PEtDhZ+P33No1qJumiaT0SSPnb5CLJnm\nlq0NVJf5qA76qAx4550p3heKE0qm2VYdxJfnZ2+aEMPylv1L/JxN0+SvfvQm3eMRfvGOfWyru74C\nvJjPXjcMvvNmF4os8eC+1qJ1vcPJNL2hOLUBD/VFDJ0p5H3byN99gPr68oI+tKJiIqqqPgB8Gngo\nD6O8obhzZzOVfg8vtvczFp391lQFfdywtYGW2nIkj4uDW+s5sq2BmnL/vBde7hjIQrSEncgzf+9c\nJ2nd4J37thRl7Obi2rh1wW6tKn5H7dSYRxD5s1LSVBngaGs9g6E4r3cNz7pdkiSqynwc2VZPU105\nrY2V7GyqprbcP69RhunQ7EIqYLOfq3ihkXO9o3SPR9i/qWaWUS6W/lCMtGGwtTr/KMBCTBVGijap\nVUux7+lXgDLgGVVV31BV9S8dOKd1gcel8MD+VnTD5Knzc0/WkSSJ1uoy0rpBfx7TqSCnX7OAaVPF\nCo1oA+O82T/G1tpyjjg05N0mrRv0TkQp87ipDRZfTGZVm5oEi8wvg1h4Ss19ezfjVmS+/2bXvKIj\nhUp0TulmFzgGspjuhbRu8P03u1AkiXcu0Jq1VDodrL+wNq4ZqzCyWK2A7P8iv+w8xVZl73LqRNYj\nB1tqeeXqIBf6x+kYnpwzx7KtupxLw5N0jofz0r4NelwQtSqYq3yevM5DkkBZYuVpWjf47tlryBK8\n79DsvFmxdE9E0E2TbTUOewNF93lOFwOJwq/SUOn3ct+ezTz1ZhdPne/ip27YMes+dUEfQY+Lnsko\nR3UD9yJREJdiyXPGsvKc+X5fcw1zoYbmxfb+qU6FWofmkdskMzr94RiVPg9V/uI3rmndIG2YlIuN\n66pGvKclRJIk3nNwGxLw5Llr6Mbs/Xil30OVz0N/KJbXxCmPIlvynHmOgbRZqkfwwqVexmJJbtvR\nTJMDbRozuTpmhbG3OSTraUcSAg4Ji4gLpLTcuqOZ5soAr3cNc2V4tjaRJElsqylHN8y8x6XOJc+5\nGEtN9wyH4zyv9VDmdfM2Byes2fRMRDFN2OqAtwwQsWU4iwxj53YsCGER5xHrTolpqQpybGsDg6E4\nT5+dO6S9taYMk/zmNEuSRNnU/NnCF55CDPNIJM6PLvdR4fNwr+qcmIhNKJFiLGYpGRUryA9WcVw8\nreNzyUW3lIgw3fKgyBIPH2lDAr595uqctRPbsoIa9iZuMXLlOfNlKekewzT59zc6yBgm7zu83VEx\nEZvObP2FE2FscC6/bLsEwoCUBvG+LgMP7G+l3Ofmidc6GJicnUsuOI+WvagiBSw8hU6aMk2T75y9\nhm6YvOfg1qLarObjmsPecsyhMDYIj3k52Vxdxi1tTYxEEryQne+dS8Djoqncz1gsyWQitejx/G4F\nicILwGxd+XwDUa9cGaBrLMKBTTXsz1PQpBBCiRSjsSQNZc5tXGOpDB5FXjQlsBhi41paxLqzDPg9\nLt5/pA3dMPnW6+1kZoS0fe7phSeUx8ITcNseQf4ec6GVp2d7R2kfmmRnQ2VJFh3DNLk2HsGjyGyq\ncGaWc8Qpb0CE6Zad+/duodLv4UeX+hiaoxBye3bzdnV0ca9ZliT82e6Fmdfago/L/p/PVTUWTfD0\nhW78bhfvPbQt7+coBDtC0FbrzMY1ntYxKf76ALFxLTXifV0m1KZqbt+9if7JGM9rs70C22u8ksfC\no8jWwpPI6HPmrecj3zzzeDTBt09fxaPIvO/QdkeKsmYykM2pt1aXFS0oAjOqTYv07kWYbvnxuhUe\nPLQN3TR5/MzVWXOVN1UE8bpkOsfDGHmMSltKVCnfdI9pmjx+2gq7P3hoK2V5FmEWgm4YXBsL43XJ\ntDi0cbUjCGXCMK96xPu6jPzsrSpVfg8vXOqld0Y+uaXCEsO4Nh7Oy9gGl+A157Pw6IbJN19rJ5nR\nefDQNmrLnK0ytbG9ge0OhbFT2WpTJ9ukRJhuednXXMP+5ho6R8P86FLfdbfJssTW6nJSukFfaPFx\nqbbxiSadT/e81jVMx/AkuxurOLy5Lu/jF0LvZIyUbrCtuhzZobBNNJVBwoGNq+hYKDnCMC8jfo+L\nR27YgWHCt17rIJNT6CLLEttryknrxtQw9IUoK1Ge+bmLPXSNRTjUUssNDvcs2yTSOv2hGFUOtYDA\n9PvghDcgJkqtHA8d2U6l38Ozb3XPqtK2o0r5FIF5FBm3LBFN59+9kE+6ZzSS4KlznXhdCg8dLk00\nCeDKaAiA7bXOiJWkdYOkbhBwK0W3PIqNa+kRa88ys6O+kpu3NzIUjvP0he7rbmvLLjwd2YtyIbwu\nGUUqcOFhesTdXA+5MjzJC5d6qQ54eehI6RadrokwJs4VfYFz+WUQhnklCXrdfODGXUiSxL+eaiec\nU3NR6fNQE/AyEI4vKiAiSRJlXjeGaU0ay5eF0j3JjM4/ndBIZHTee2ibo9PVcgknUwxHEzSU+fKa\nRZ0PTlVjg7g+lgPx3q4AD+xvpa7Mx0sd/byRI0cY9LppKvczGksyGV+4CEySJIIeF7phksxTntP2\nCOwZqrnEUmn+7bUOJAl+9sadRQ9inw/TNLk6GkaWnGsB0Q3n2qRM03pvRJhu5dhaW847920hkkzz\nzVPt1+Wb7dSHLeO6EEuJKs3Xz2yaJv/+egeDoTi3bG/kaImiSTBdZ9JW45y0p93f72Thl/CYS4cw\nzCuAx6Xw4ZtVfG6F/zh9hc6cgq+2bOgqH695Kf2ac+WZDdPksdevEEqkePueLbQ66MnOZDiaIJRM\n01JZ3ICJXOxFp8xTvHch2kBWB7fvbGZvUzVXRkI8d7Fn6u9bqqxiwWtj4UUjRUtpm5rPY/5xez/n\n+8bYVlvOuw9uzft4haIbJtfGrEE1myqdKfqyCyOd0I8Xo1CXB2GYV4j6cj+PHt+NaZr806sa49lB\nF80VAfxuhc7x8HU56LmwBfuLyTObpsl3zlzl4sA4bXUV3OXwnOWZXM7mDXfVFTduLpdI0vlqU2GY\nVxZJkvipG3ZQHfDyvNaLNjgOgFuR2VIZJJrKMBiOL3gMORtVSmXnc+eDLFlGR2c63dM+NMHTb3ZR\n4fPw6PFdKA7MQ56P3smoVfRVU+5ItwJYbVKGSdHzyWE60iauj9IiDPMKsrOhkgcPbSeayvD/vaqR\nSGeQJasILGOYdC2iBOaSZXwuhXhaR8+jhQRmewQ/uNjDiWtDNFUE+OBNux3Xws4lHE/RF4pR7bdy\nhU5gewOKLOF1Ff91Fvmz1YPf4+Lnju9CliW+ceIyV0esKNLO7Kbu8shsCc+ZTIWzk3MPyZgL+7M3\nsfqV/+VkO7Is8cGbdpWkNSqXK2PWa3SqdxkgbBdGOpCvFtfH8iDe3xXm5u2N3NrWxGAozjdPtaMb\nJtuzuaUreYSzy712Hi2/hSe38vTl9n5+qPVSE/Tykdv2lERSMJfzPSOAtbA6VViWyBjopumMNyDa\nQFYdm6vL+OBNuzEMk3985SJdY2GqA17qgj4GwvFFBXmK6WceiiT46osXiKczvPfQdraUMMUD2aKv\nSIL6oI9yrzMbANM0iWT7+wMOqPeJiNLyIAzzKuBdB7ays6ESbXCCf3pVwyVLbKoIMB63tKQXYqlt\nU+e7R3jyfCdlXjcfvW0v5SX2BDKGwYXeMbwumS1VzhR9wfSGRKgZrV/2NFXzgeO7yOgGf//yRXrG\nI+zKzjxuH1l48+pWZLwua9pUvlElBRgOxfi7F99kIp7i/r1bOL6todiXsSgdI7bSl3NFX6ns7Pag\n2+VINMz2mMW+tbSINWgVoMgSHzy+m11Z4/zVly6wqdya5LRYEdhUv2YqM0staT7e7Bnhu2904HUp\nfPS2PdQ4PKpuLrrGIyQzOm01FY7lzsC5MY8gCr9WM/s31fCzN+4ildH5u5ffAtOSpr02Hia1yDAX\ne/May3OGef9ElK+/dIFIMs17Dm7lbarzU6NmktJ1ro6F8LkUNjtU9AU5/f3e4q8Pu2NBQUSUSo0w\nzKsEr1vhP92icnRLHT3jUf7jjQ5kLIOWWGBBKaRfM2NYs5Ufe60dlyzxgVtUmhxcBObDNE3aR0LI\nEuyoc84byBgGiYwlmuCEsRce8+rmYEstP31sJ8m0zt+//BZeWUI3zEUFRwqJKnWNhfnaSxeIpzK8\n+0gbt7Q1O3Lui3FlNEzGMNlVX+mY0hdMF0aK/uW1RWmTioKCUGSZn7phBxV+Dy9c6iPaM8qWugou\nj4Q42Dz/IIlyj4vxeIpIMj1vZfJkPMm/nLxM11iEhnI/jxzfTU25H9Ms/e53JJpgMpFiR2OlI1Ny\nbJwUFRGDK9YGR7bUZbWqr/DDi73UVfjxKrJl0Ob5IvtciiXGk51hPlctgm4YvNTezw8u9mCYJo8c\n28mezXVTNQelxDBMLg9P4pIlR4u+MoZBPKPjdylF9/eDiCgtJ8IwrzIkSeId+1qp9Hv4zplrXO4f\nZywcZ1N5YF7dar9bQZYsQzVz4TFNk8tDk3zrtXaiqQyHNtfy8JE2UBQyWF5iqS80u3r20JZ6SBcy\n8XZhog62SYk2kLXD0dZ6NlUF+eapdgZCMcLxFFsqgxzdMrfohy3GE0qmSWYMfDOKoLrHIzz+xhUG\nQjGCXjePHG1jV2M1CSxjVOpFsmsiQiKjs7u+Eo/i3Dcw6mAYG0REaTkRhnmVcvP2JhrKAzz2egej\nkQR//twZ7trdwp07m/HMEOaQJIkyj/u6hUc3TC70j/Fiex8941EUSeLBQ9u4ZXsjkiSRMSGDtfCU\n0hjFUhl6J2NU+T00VQYYGclv5vRiGKZJNJ3B7YBoAogw3VqjsSLAr9x9gCfPXePktSEee62D7rEI\nx7bWs6kyOMsrLssa5kgqM2WYI8k0L2i9/OTKACZwbGs9D+zfSsDjmuphdm4bOTemaaINTyDhbG8/\nQNjJjavoWFhWhGFexWyvq+Dj9xzkH09com8swnMXezhxdZCd9ZVsrS1na2059eX+qfmz/aEY2tAE\n4ViSn1wZYCKeQgL2Nldzj9pCS041dL4jIIvl0vAEYC06Tmpvx1IZDBOqfG5HjivCdGsPtyLz8JE2\nTAnOdI3w6tVBXr06SGNFgBta69m/qYaAx4VbkQl6XJimSed4mDd7R7g4ME73WAQTqCvz8dDh7bTV\nTxtGSQLZnNaVL5UxGgzHCSXStFaVEXCwXdHI9vdbVenFf6vF9bG8CMO8yvG5Xdy8vZG3Ah4UA7SB\nCU73jHA62xPscyu4FZlIIn2d/rVbkbl5eyO37Wiirsw/67iyBJI5rXBUioUnns7QMRom4HbR6mCL\nFEx7A+UOh+mEM7D2uLWtibRp4pVlook0F/vHeep8J0+d75y6j0uWkCSJdFYBTMLS5N7XXMNN2xtx\nzxF1UbC+F6UMZ2tZJbzd9c56y7FUBhOr/sQJRP/y8iIM8xpgV10ll4cnKfO7+ey7bmA0kqBzLEzn\naJiusQgmJltry3EpMl63i+015RzeUrfoDlyBkuaZtaEJDNNkb2OVo5WmpmkSTqVxyRI+B7wBQ7SB\nrGkay/xUB7xMxFO859A2Hj6ynTPdo1wbDU318aZ1nWTaIOB1s7e5mmOtdQQW0VYvdVRpPJZkKBKn\nocxHtcOTqpwcgwoi1bPcCMO8Bgh4XLRWl9E5HmEgHKelMkhDRYDj2xqvu994PMVgJEFjmS+vsFju\nwuO0Yc71lrdVO6uYFMtq/1Z4i1f7AlHUstaRJIn9jdW8dG2QCwPj3LqtkVt3NHHrjqbr7pcxDNpH\nI/hcyqJGGeafNOUUl7Leslpf5ehxp9W+rBRX8ccT+eXlRqxFa4Q9DdbFqw1NzDtVx94dh/PUBS7l\nwqMNTWKYJnsc9pZh+vU5NatW5M/WPs0VAWoCXnomo0zE51bLc8kyAbdCIqNPhbQXQpIWnl9eDOFE\niu6JCBU+N43ls1NNxZDMGGQMZ2RqQYSxVwJhmNcIFT4PzRUBRmNJhiOJOe9TqPygxOxJOk6QSGfo\nGA3hdytsd9hbNk2TcDKDIkmOaP+C8JjXA7bXDPDmwPi897M3c+E8JWznGpPqBOcGxjGB/Y01jhZF\nAoSzMrVOtUmJMPbyI97rNcS+7MJzpn90Xq+5PBuiy0flyB5oAeCkQ6ANW97y3oZqx73leEa3hlY4\nFMYWYbr1Q2O5n9qAl75QbF6N+dUQVRqNJuidjFIT8NJSGXDwyNbGNZTMIOF8fll4zMuHMMxriJqA\nl9aqMibiKbrG5+4HtquUV2rhSaQzdIxY3vK2Ekzjma7GFmFswfVIksSBJksh782BsTnv41Zk/NlR\nqRljcT/Y6evDNE3O9lvndqjZeW85mbGK3cq8zgytEBvXlUEY5jXGgeZqZEni3MAY+hwLi9el4FVk\nIqlMXuFspxcebXgSPestOzmsAuwwdhpZgqBDYWxhmNcXDeV+6rMjIUejc6d8pjev+UWVnMwzD4Tj\njEQTNFcEqJ+jjbFYQtkNeYVDG1eR5lkZxPu9xgh63OyurySe1qeqOmdS4bPzaIt7zbbpdGLhiSTT\ntJfQW05MFbU4IyoCIn+2HtnfZKV8zs+Ta57KMxcYVSo2z2x5y6MAHGyaX/u+mONPbVxFGHtNI9aj\nNciehio8iszFoQkSc0yUmlp4EnkYZsm66EyKyzObpskbvSMYpsnh5lrHvWXIrcZ2SDRB9C+vS+rL\n/DSW+RmKxOkPxWbd7lZkfFNFkssXzu4cjxBKpNlWXUal3/n554mMQTq7cXUijA3CMK8UwjCvQdyK\nzP6majKGyYXB2V6BJ7vwRJcxj9Y7GWUgHKehzM/mKudHSVqiIlZRi1PegAjTrV8Ob6pFAl7vGSEz\nR2tUIdXZTlwfGd3g/MAYsiSxvwTeMuSGsZ25Puz8soTYuC43Yk1ao7TVVlDudXNlNEQokZp1e8VU\nuG7xhadYhaO0bnC6bxRZghs21zpe0AJMKTiVeZwpagHhDaxnKv0e1IYqYunMnCHt8gKuD7t7oZh0\nz+muYeJpnV11FY5qYtuUIowt+pdXDmGY1yiyJHGouQYTON07u33KXnhCeeTR7C/BUj2CC4PjxNM6\nakMV5V7nQ3Qw/TqcqsYGkV9e7+xrrKLM4+LyyCTjM9qnPIqMV5GJ5lkkWczmdSKe5NSVQXwuZUoo\nyGniGZ2MYVLudb7+Qhjm5UesSWuY5ooATeV+BiNxOkZD193mVmT8bqstZDGVo9w8cx5r1HVMxJNc\nHp4k6HGxt0SLjmmaTCYsb8Cx2bIiv7zuUWSZY5utGc2neoYx5tm85lMEttRwtmGYnOiynvvGLfWz\nRrY6RShRuo2rMMzLjzDMaxhJkqyLXZE50zfG5IyQdkWJFx7TNHm9ZwQTONpShyKX5usUS097AyKM\nLSiEhnI/26qt3v/LM7oYKrPdC5MlNMxvDo4zmUixr6WG5gpnxURs7PoLRZIcayMU+eWVRRjmNY7f\n7eL4lnoM0+TVzqHrqkzt6uVQHnm0pSw87SMhRmNJWiqDJVt0ACaz3kClg96AKPzaOBzaVItHkXlz\ncJxojhF2K5Z2djytk8ojqlRonnk0muDi0ARBj4vbdm1a+gtYBFuCt9whNTwQ+eWVRqxL64BNlUHa\nasuZTKQ41z9d6JIr2r/owkNhutlDkThn+kbxuhSOttQWdf4LYWSLWtyyM5NywHp9Ir+8cfC6FI60\n1KIbJq92DV2XU57ymucooJxJIZvXjGFwonsYgOMlDGGD80NdQESUVhqxLq0TDjfXUu51c3lkksHw\ndO9mvuFsO88Mixe4RJNpfnJtECS4bWsjfnfppoeGk2lMLNEUp7wBu2db5Jc3Dq1VZWypCjIaS3Kq\ne3iqWNJKj1hRmfn0520KKQA71z9GJJlmd31lSRS+bAx7qIvs3FAXEIZ5GeDOfwAAFZlJREFUpRGG\neZ3gUmRubm1AkuBE1zDx9PWa0vksPPl4BBnd4KVrg6R0gxta6qgr8zlw9vMzFcb2OVftLRadjYck\nSRzfUk9twEvXRIQLgxOA1d1Q7nWTMUxic4j15JKvx3x5eJL2kRDlXjcHsipkpSKSzKCbJhUOVmML\nfeyVRxjmdUR1wMvBphoSGZ3nO/qJp62ddLnXRUo3iGeKW3hM0+RE9zCTiRQ7aitoq61w9PxnktYN\nYmkdv0vBozj3VRWGeWOiyDK3bWsi6HFxYXCczvEwMF27MLmIUl4+eearoyFO943icyncvr2pZAWR\nNhPZEHyVT4Sx1xPCMK8zdtdXsqehikgyzfPtfcRSGaqy3uZEfOkLj2laKmO9k1Hqgj6OlDCvbGP3\nLlc6uOhcV23q2FEFawWfW+GO7U24ZZlT3cOMRBL43QpuWSKcTM9qqZrJQpvXrvEIp3pG8Cgyd7U1\nO5rznYuUvXF1K3gdzGELw7zyCMO8zrBG31Wzt6GKSCrD8x19YJq4FZlwMr2omMJcC49umLzWM8KF\nwQkCbhe3bWt0rG1pPuzeZQlni1rs/LII021cKnwebt3WgGnCS9cGGI4mqPC5MVm8FmM+w9w7GeVE\n1xAuWeKutuaSaGHPZDLuvLcsCiNXB0W/96qq/qaqqoaqqqURgBUUjCRJ7G+qZl9jFdFUhheu9ONV\nJEwWrz6dWQAWT1vG/epYmCq/h7ftbHZ0dz4fiYxBKjtX1smBGMIbEAA0lge4cUs9ad3ghY5++kOx\nqc3gQsxUyTNNk86xMK90DiLLEne2NVMd8Jb03O3nnchKcJZi4yoKI1eWosppVVXdAtwPdDpzOgKn\nkLJi+RISbw6Oc7JriLqgH5ckUe33zFsokrvwjEQSvNw5SDKj01pdxo2bSyciMhN7A+Fk7zIIwyyY\nZltNOeVeN690DqENTVDuddNSVUZK989b0yBJoGS9yol4itO9IwxHEyiyxO3bmqgLlrYY0saet17t\n9zgavRLXx+qg2D6XPwV+G/i2A+ciKAH7mqrxuRXO9Y8xEI4xGk2gmzq76yrnNM4mJiPhOL3jEfom\nI2DCkU217KyrKMlwirkwTJNQMo0iS44J8sN0mE4GSjCVUrAGqQ36uH93C6d6humdjHF5eALDMNhV\nVznvsAnTMLg4OMHVkQlM05LGPdpSS9BT2pxyLhNZz97JMDYIw7xaWPKqp6rqQ0CPpmlnVVV18JQE\nTtNWW8GWqjLO9Y9xZTTE2b4xro5aoWm/24XPpeBzKYzFk3RPRElmq7eDHhc3bqmnoYR9mHMxmUhj\nmFC3gGe/FMSiI5gLj0vh1q2NXB4OcbZ/lEvDk1wanqTS56G5IkC130s0lSacTBNKpAgl0qQNA7/b\nxQ0ttWyqdH7M6UKkdYNoKoPf5WzRl71xFYWRK8+ChllV1WeApjlu+j3gs8A7cv4mPstVjFuROdpS\nS8DjpmciwkQ8OWehi0eRaautoLGqjLqAF98yu5amaTIWTyEBVX7hDQiWB0mS2N1QidfjomciQiqj\nMxZLMjk0cf39gDKvm62VFbQ1VFGxTKmdXOwWqUqHr49cGU6RX15ZpMVEJ+ZCVdUDwA8AW2JqM9AL\n3KRp2tACD13iNFOBU/SMhrk6GGJbQwXVZV6iyQyxVJpYMkOZz83mmnJkCbpHIkiSxOba4LKFsAFG\nw3EudI/RWBVg9ybnxBlM06R3NIpumrTWlS3raxKsHRKpDCfbBwn63BxoraVvPMJ4NEmF30N10Edl\nwIMiy4yFE4TiaRqr/PhLMF95PkzT5MTlAXTD5ObdzvZJT0STTERT1Ff4CDocIhcU5rguyTDPRFXV\nq8AxTdPGFrmrOTwcLvr51ir19eWs9OvPGAYdoxHcisz26vmNbiIb1vLjXD42n9ffNRElltbZVh3E\n52CYzjAhjuUN+FbIJq+Gz3+lWEuvvXcyRjiVYUtlYN4aB92EBFbI0ZvH98mp1x9OpukNxanyuWkq\ndzbFFM/2+Adw3mNeS59/KaivLy/oHXVquyU84TWCS5anlMAWkiBc6pi7YkhkdGJpnYBbcdQogwhj\nC/KnJmD1II/F528tnNk2tVzY51TlcJ+0kOFcXTgSg9E0rc2J4wiWh2q/h1Ayw2gsOa9HYBuwDLBc\nQa2xmLXo1JRAnMEefCkMs2Ax/G4XfpdCNJUhmdHnLLDKbZsyzOWp8o+lMsTTOkGPS2xc1zlC3GUD\n4ne7CLoVYmmdWHruWc3yEubPFkNGNwgl03gU2dEWKbjeGxBtUoJ8qM56zeMLeM3LHVUaiSUBqAuI\njet6RxjmDUpt0FInGo0m573Pci4849lK04XET5aK8AYEhVLuceGWJSYTaTLG3IMel/P6iKczU2ke\np8es5rZJCYOwOhCfwwYl4HYRcCtE0/rUiMiZ2Jf/3Lc6h2GaTMTTyJLk6MAKG2GYBYUiZRXyTOYf\n/iJLljHTKX1UaSSb5qkrgdynaJNafQjDvIGxL3L7op+JLTRQ6oVnIpFGN02qfW7Hh2MIUX7BUqny\ne5AlK5w939Qpe/NaSq85kdanBEX8bue3l/bGe/mavgSLIdaqDUzA48Lvtopc4nNUaEvS7KEWTqMb\nJqPRJLI0nddzEiHKL1gqsiRR5fOgm+a8ueblCGeP2rnloNfxNI/YuK5OxGexwbG9Zvvin0mpw9mj\nsSS6aVIb8OIqgYqSKGoRFENtwIsiSYzGknPmmkvdNpXM6IRTGXwumUAJvGWxcV2dCMO8wQm4Ffwu\nhUgqQ2IOrzl34XE6nJ3SDcbiKVyylc8rBfYrEmE6wVJQZIm6oBfDhOE5CiXtqJKJ1TblNKPZNFNt\nwHlvGUQYe7UiDPMGR5KshQdgOJZkphLcdQuPw889HEkA0BD0OZ5bBiGaIHCGKp8bryIzmUjPuXnN\n7fl3kng6QyiZxqvIlJVI9lMURq5OhGEWEHArVoV2KkM4OXt5KUWBSyyVyYboFMq9pVl0hDcgcAJJ\nkmgos+YsD0YTszavpbg+DNOkP2xtXBvLfCXxlg2xcV21CMMsQJIkmsr9SMBgJDErl+Z0gYtpmgxF\n7UWnNCE6EPllgXMEPS7KPC7iaSvnm4sdVTJwLpw9GkuS0g2qfO5550IXi0jzrF6EYRYA1rjH+qAX\n3TQZzIaYbZxeeELJNImMQbnX5bhYgo0h1L4EDmN7zUORxKz2KSfD2cmMzmjMqr2oD/ocOOLciDD2\n6kUYZsEU1X4PfpdCOJmZNavZKa85oxsMRZNIWLnlUiG8AYHTeBSZGr+HjGFO6brbONW9YOaEsJvK\nfCgl2lXabVJi47o6EYZZMIUV0vYhAQORBHqOe+yEYTZMk95QHN0wqQt6cSul+/qJMLagFFhtfRIj\nsSSRnJC2U9XZ4/EUiYxOuddFmbd042OEt7y6EYZZcB1el0Jd0ItuXB/StodaFNM21TEwSTyjU+F1\nlWSClI0IYwtKhSJLtFQEkIC+UIxkZnqrWqzXnNINhqNJZEmisax00SQQG9fVjjDMglnU+D34XDKh\nZJqJHMWjYhaeiXiKgfEoXkW2Cs1KWAYqwtiCUuJ3KzSV+zBMpiJAUFyeOWMY9EzGMLEKIkshtmMj\nhlasfsTnIpiFJEk0l/tRJImBSGJKjnCphjmezjAYSeBSJFoqAyXpWc5FeAOCUlPp81Dj95DSDfpC\nMUzTXHI4O2MYdE3ESOkGNX4PFSUMYcP1bYSiTWp1IgyzYE68LoXWqgCKJDGYNc5Lqc5O6wa9oTgm\nsKelBk8J88ogwtiC5aM+6CXocRFN6wxlVcEK3bxmDIPurFGu9nuoL4Ee9qznzP4vIkqrF2GYBfMy\n0ziPxZIFLTyTiTRXxyNkDJP6oJfqEufNQISxBcuHJElsKvfjUWTG4yl6QzHMrAZAhsVrMXTDpHsy\nRjLbr9ywDEZZbFzXBsIwCxbENs4uWWIommQ0mkA3jAUXHt0w6QvF6A/HMU2r7aOUxV65CG9AsJwo\nssSWysBUm+G18SiJZHpqOMRcmKZJOJmmcyJKMmMZ5VKpe81EXB9rA/H5CBbF61JorQzQNRljPJ5i\nPJ4i4HVT63MTzKoSGaZJWjdIZAyGowkyhonPpbCpwl/y8LWNkBgUrARuRaa1KsB4PMVwNMlwOI4/\nmaYm4MWvSCjZL6NhmoQSacbiKVK65Vkvp1E2TWGY1wri8xHkhcel0FZTxmQizXg8RSyZJpZM41Fk\nDNMkMyPpXBfwUhvwLMuCYyMWHcFKIUkSNQEr59wfThBPZejN9jlLwLXJGJmMgW6aSEClz02N34PX\ntXwligZixONaQaxhgryRJWs8Y6XXzURaJ5RIkUhlcMkSAbeCR5FxKzJBjwvfMi44ILwBwerA61LY\nWhVgNJEmkdExDRPdMKaKJWv8Hqr9npKK68yHuD7WDuIzEhSMLEuUeVx4PS48pol7FVSR6FjegGgB\nEaw0kiRR7fOQwPJOfRLU15czPBxesXOyN64Soo1wLSCKvwRLYmrU3Sqxgrayd2k7QAWC/FBylPKc\nmjhVDLndCqvkkhUsgDDMgiUhr6KFR7SACFYj9ibRiYlTxSLC2GsLYZgFS8apiTrFIrxlwWrEDhmn\nYdaYyOXEEJOk1hzCMAuWjG2Y0yx9sEWxiNyZYLUiSdObxVhi5bav9sZVeMtrB2GYBUsmd+FZqWVH\n6P4KVjO2MQzFUwver1TkblyFYV47CMMsKArbMK+E1yxapASrHTmrL5/KGOgrEFXKTfOIjevaQRhm\nQVFIkmUUTaYrP5cLI/tPQeTOBKuXlarFME0Rxl6rCMMsKBrba06xvF6zvdCJoi/BakYBXLKU12AL\nJ8m9PoS3vLYQhllQNHa4bjm9ZiMndya+xILVjCRBecAa4pJe5L5Okesti43r2kOsaQJHyM01Lwd2\nKY0H4Q0IVj/lfjcSdutU6Z9PKOGtbYRhFjiCkvWaDSh5kYue05cpWqQEawFZkrAHn5a6Plt4y2sf\nYZgFjrEcXrNpCm9ZsDZRmFbLK+XmVUcURa51hGEWOIbM9MKTKdHCk7voKGLREawhJInrvOZSFILN\n3LgK1ibCMAscQ5LAm/25FAuPWHQEa53rUj4lOH4KK7fsRnjLaxlhmAWOImfVwEycz6WlEYuOYO1T\nKq9Zz+lUELnltY0wzALHcWN9sTI4F9IWBS2C9YKcI8rjlOiIaUIy+7MXUXux1hGGWeA4TufSTBMS\n2Z9FwZdgPZB7fThRCGZHk1yI2ov1gDDMgpKgOBTStj0Bu+BLSAsK1gO59RgJiutt1rPRJAlRe7Fe\nEIZZUDLcWItFMSHtNNM9yyJEJ1hPuHIiSwmWFlkyRAh7XVKUA6Kq6ieAX8VaO5/UNO13HDkrwbpA\nksCbDUMngYloEtPMf/FI53gCPsSiI1h/uKXp+okE4Cvg+jCy15ZdEClC2OuHJXvMqqreA7wPOKRp\n2gHgS46dlWDdoEjgxzKuE9FU3jnnTE5rlDDKgvWMm+kWqiT5XR+6CXGmjbIoiFxfFBPK/t+Az2ma\nlgbQNG3YmVMSrDdkyTKuHpdMhoUXH92ERE54zodojRKsb+x8sy3OE8eKFs13jaRziiG9gEcSG9f1\nRjGh7F3AXaqq/jHW9+S3NE075cxpCdYbsgT1VQF6RyLoQAyQzev1rtNYXgNYf/cgwnOCjYEkWWHs\nFFZNRgrrenCbVrTJyPln22sf4vpYryxomFVVfQZomuOm38s+tlrTtFtUVT0OfBNoc/4UBesFWZbw\nYi04GaYXmtxeTtsgywgvQLCxsD1nTzbnnGbujgaF7DUiro91i2QusclUVdWngM9rmvZC9vd24GZN\n00YdPD+BQCAQCDYUxeSYHwfuBVBVdTfgEUZZIBAIBILiKCbH/DXga6qqnsOKuPxnZ05JIBAIBIKN\ny5JD2QKBQCAQCJxHKH8JBAKBQLCKEIZZIBAIBIJVhDDMAoFAIBCsIpZtWI+qqg8AX8Zqw/tbTdO+\nsFzPvdKoqroF+EegAUsf4K81TfvzlT2r5UVVVQU4BfRomvbelT6f5URV1Srgb4H9WJ//xzRNe2Vl\nz2r5UFX1s8CHsdrWzwEf1TQtufCj1i6qqn4NeA8wpGnawezfaoB/BbYC14Cf1TRtYsVOsoTM8/q/\nCDyIVSjcgfUdmFy5sywNc732nNt+E/giUKdp2thCx1kWjzm7KP8F8ACwD3hUVdW9y/Hcq4Q08Bua\npu0HbgF+bYO9foBPAheYFi7aSPxP4Huapu0FDgFvrfD5LBuqqm4DfhG4IbtQKcDPrehJlZ6/w1rr\ncvkM8IymabuBH2R/X6/M9fqfBvZrmnYYuAR8dtnPanmY67Xbztn9QGc+B1muUPZNQLumadey2tr/\nAjy0TM+94miaNqBp2unszxGshXnTyp7V8qGq6mbg3Vhe44bSK1JVtRK4U9O0rwFompZZj57CAoSw\nNqYBVVVdQADoXdlTKi2apv0YGJ/x5/cB/5D9+R+Ah5f1pJaRuV6/pmnPaJpmK+6+Cmxe9hNbBub5\n7AH+FPjtfI+zXIa5BejO+b0n+7cNR9aDOIr15dwo/BnwaaalsDcS24FhVVX/TlXV11VV/RtVVQMr\nfVLLRTZk9ydAF9AHTGia9uzKntWK0Khp2mD250GgcSVPZoX5GPC9lT6J5UJV1YewUnhn833Mchnm\njRi+nIWqqmXAt4BPZj3ndY+qqg9i5VveYIN5y1lcwA3AX2qadgMQZX2HMa9DVdUdwK8D27CiRGWq\nqn5oRU9qhdE0zWSDromqqv4ekNI07Z9X+lyWg+wm/HeBP8j586Lr4HIZ5l5gS87vW7C85g2Dqqpu\n4DHg65qmPb7S57OM3Aa8T1XVq8A3gHtVVf3HFT6n5aQHa7d8Mvv7t7AM9UbhRuBlTdNGNU3LAP+O\n9Z3YaAyqqtoEoKpqMzC0wuez7Kiq+hGslNZG2pjtwNqUnsmugZuB11RVbVjoQctVlX0K2JUN4/YB\nHwAeXabnXnFUVZWArwIXNE378kqfz3KiadrvYu0YUVX1bqzxoBtGvlXTtAFVVbtVVd2tadol4D7g\nzZU+r2XkIvD7qqr6scbD3gecWNlTWhGeAH4e+EL2/420Obe7cj4N3K1pWmKx+68XNE07R07aImuc\nj62KquzsTvnjwPexKnP/VdO0DVOZCtyO1S5yj6qqb2T/zarc2yBsxBDeJ4B/UlX1DFZV9h+v8Pks\nG5qmncFqFTwF2Dm2v165Myo9qqp+A3jZ+lHtVlX1o8DngftVVb2ENfzn8yt5jqVkjtf/MeArQBnw\nTHb9+8sVPckSkfPad+d89rnktf4JrWyBQCAQCFYRQvlLIBAIBIJVhDDMAoFAIBCsIoRhFggEAoFg\nFSEMs0AgEAgEqwhhmAUCgUAgWEUIwywQCAQCwSpCGGaBQCAQCFYRwjALBAKBQLCK+F/bTLtVUlVn\nRgAAAABJRU5ErkJggg==\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAd8AAAFJCAYAAADaPycGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -156,16 +151,14 @@ }, { "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": false - }, + "execution_count": 6, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAn8AAAKACAYAAADtih43AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnwAAAJ8CAYAAABk7XxWAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n4CMiIiJSuP8H7qvtEY/tv1AAAAAASUVORK5CYII=\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -187,9 +180,7 @@ { "cell_type": "code", "execution_count": 8, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -224,7 +215,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "metadata": { "collapsed": true }, @@ -244,24 +235,22 @@ }, { "cell_type": "code", - "execution_count": 10, - "metadata": { - "collapsed": false - }, + "execution_count": 8, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "0 1\n", - "1 3\n", - "2 5\n", - "3 NaN\n", - "4 6\n", - "5 8\n", + "0 1.0\n", + "1 3.0\n", + "2 5.0\n", + "3 NaN\n", + "4 6.0\n", + "5 8.0\n", "dtype: float64" ] }, - "execution_count": 10, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -273,7 +262,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 9, "metadata": { "collapsed": true }, @@ -291,10 +280,8 @@ }, { "cell_type": "code", - "execution_count": 12, - "metadata": { - "collapsed": false - }, + "execution_count": 10, + "metadata": {}, "outputs": [ { "data": { @@ -302,7 +289,7 @@ "array([ 1., 3., 5., nan, 6., 8.])" ] }, - "execution_count": 12, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -313,10 +300,8 @@ }, { "cell_type": "code", - "execution_count": 13, - "metadata": { - "collapsed": false - }, + "execution_count": 11, + "metadata": {}, "outputs": [ { "data": { @@ -324,7 +309,7 @@ "(1, (6,))" ] }, - "execution_count": 13, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -342,18 +327,16 @@ }, { "cell_type": "code", - "execution_count": 14, - "metadata": { - "collapsed": false - }, + "execution_count": 12, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Int64Index([0, 1, 2, 3, 4, 5], dtype='int64')" + "RangeIndex(start=0, stop=6, step=1)" ] }, - "execution_count": 14, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -364,53 +347,28 @@ }, { "cell_type": "code", - "execution_count": 19, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Int64Index([0, 1, 2, 3, 4, 5], dtype='int64')" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "s.key" - ] - }, - { - "cell_type": "markdown", + "execution_count": 16, "metadata": {}, - "source": [ - "En este caso ocurre que el índice y las claves son lo mismo, pero esto puede no ocurrir para objetos más completos" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "collapsed": false - }, "outputs": [ { "data": { "text/plain": [ - "True" + "" ] }, - "execution_count": 20, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "s[]" + "s.keys" ] }, { @@ -422,24 +380,26 @@ }, { "cell_type": "code", - "execution_count": 22, - "metadata": { - "collapsed": false - }, + "execution_count": 23, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "3.0" + "0 1.0\n", + "1 3.0\n", + "2 5.0\n", + "3 NaN\n", + "dtype: float64" ] }, - "execution_count": 22, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "s.ix[1]" + "s.ix[-1:3]" ] }, { @@ -451,27 +411,25 @@ }, { "cell_type": "code", - "execution_count": 23, - "metadata": { - "collapsed": false - }, + "execution_count": 24, + "metadata": {}, "outputs": [ { "ename": "KeyError", "evalue": "-1", "output_type": "error", "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0ms\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[1;32m/home/tin/.virtualenvs/curso/lib/python3.4/site-packages/pandas/core/series.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 512\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m__getitem__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 513\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 514\u001b[1;33m \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_value\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 515\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 516\u001b[0m \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0misscalar\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m/home/tin/.virtualenvs/curso/lib/python3.4/site-packages/pandas/core/index.py\u001b[0m in \u001b[0;36mget_value\u001b[1;34m(self, series, key)\u001b[0m\n\u001b[0;32m 1458\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1459\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1460\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_value\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ms\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mk\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1461\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me1\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1462\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m0\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0minferred_type\u001b[0m \u001b[1;32min\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;34m'integer'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'boolean'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mpandas/index.pyx\u001b[0m in \u001b[0;36mpandas.index.IndexEngine.get_value (pandas/index.c:3113)\u001b[1;34m()\u001b[0m\n", - "\u001b[1;32mpandas/index.pyx\u001b[0m in \u001b[0;36mpandas.index.IndexEngine.get_value (pandas/index.c:2844)\u001b[1;34m()\u001b[0m\n", - "\u001b[1;32mpandas/index.pyx\u001b[0m in \u001b[0;36mpandas.index.IndexEngine.get_loc (pandas/index.c:3704)\u001b[1;34m()\u001b[0m\n", - "\u001b[1;32mpandas/hashtable.pyx\u001b[0m in \u001b[0;36mpandas.hashtable.Int64HashTable.get_item (pandas/hashtable.c:7255)\u001b[1;34m()\u001b[0m\n", - "\u001b[1;32mpandas/hashtable.pyx\u001b[0m in \u001b[0;36mpandas.hashtable.Int64HashTable.get_item (pandas/hashtable.c:7193)\u001b[1;34m()\u001b[0m\n", - "\u001b[1;31mKeyError\u001b[0m: -1" + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0ms\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m~/.virtualenvs/curso/lib/python3.6/site-packages/pandas/core/series.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 599\u001b[0m \u001b[0mkey\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_apply_if_callable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 600\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 601\u001b[0;31m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 602\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 603\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mis_scalar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/.virtualenvs/curso/lib/python3.6/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_value\u001b[0;34m(self, series, key)\u001b[0m\n\u001b[1;32m 2475\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2476\u001b[0m return self._engine.get_value(s, k,\n\u001b[0;32m-> 2477\u001b[0;31m tz=getattr(series.dtype, 'tz', None))\n\u001b[0m\u001b[1;32m 2478\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2479\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m0\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minferred_type\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'integer'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'boolean'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_value (pandas/_libs/index.c:4404)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_value (pandas/_libs/index.c:4087)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc (pandas/_libs/index.c:5126)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.Int64HashTable.get_item (pandas/_libs/hashtable.c:14031)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.Int64HashTable.get_item (pandas/_libs/hashtable.c:13975)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mKeyError\u001b[0m: -1" ] } ], @@ -481,40 +439,46 @@ }, { "cell_type": "code", - "execution_count": 24, - "metadata": { - "collapsed": false - }, + "execution_count": 25, + "metadata": {}, "outputs": [ { "ename": "KeyError", "evalue": "-1", "output_type": "error", "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m/home/tin/.virtualenvs/curso/lib/python3.4/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_get_label\u001b[1;34m(self, label, axis)\u001b[0m\n\u001b[0;32m 81\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 82\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_xs\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlabel\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 83\u001b[0m \u001b[1;32mexcept\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m/home/tin/.virtualenvs/curso/lib/python3.4/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36mxs\u001b[1;34m(self, key, axis, level, copy, drop_level)\u001b[0m\n\u001b[0;32m 1465\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1466\u001b[1;33m \u001b[0mloc\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1467\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m/home/tin/.virtualenvs/curso/lib/python3.4/site-packages/pandas/core/index.py\u001b[0m in \u001b[0;36mget_loc\u001b[1;34m(self, key, method)\u001b[0m\n\u001b[0;32m 1436\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mmethod\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1437\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_values_from_object\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1438\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mpandas/index.pyx\u001b[0m in \u001b[0;36mpandas.index.IndexEngine.get_loc (pandas/index.c:3824)\u001b[1;34m()\u001b[0m\n", - "\u001b[1;32mpandas/index.pyx\u001b[0m in \u001b[0;36mpandas.index.IndexEngine.get_loc (pandas/index.c:3704)\u001b[1;34m()\u001b[0m\n", - "\u001b[1;32mpandas/hashtable.pyx\u001b[0m in \u001b[0;36mpandas.hashtable.Int64HashTable.get_item (pandas/hashtable.c:7255)\u001b[1;34m()\u001b[0m\n", - "\u001b[1;32mpandas/hashtable.pyx\u001b[0m in \u001b[0;36mpandas.hashtable.Int64HashTable.get_item (pandas/hashtable.c:7193)\u001b[1;34m()\u001b[0m\n", - "\u001b[1;31mKeyError\u001b[0m: -1", + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m~/.virtualenvs/curso/lib/python3.6/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m 2441\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2442\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2443\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc (pandas/_libs/index.c:5280)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc (pandas/_libs/index.c:5126)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.Int64HashTable.get_item (pandas/_libs/hashtable.c:14031)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.Int64HashTable.get_item (pandas/_libs/hashtable.c:13975)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mKeyError\u001b[0m: -1", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m~/.virtualenvs/curso/lib/python3.6/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_get_label\u001b[0;34m(self, label, axis)\u001b[0m\n\u001b[1;32m 129\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 130\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_xs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 131\u001b[0m \u001b[0;32mexcept\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/.virtualenvs/curso/lib/python3.6/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36mxs\u001b[0;34m(self, key, axis, level, drop_level)\u001b[0m\n\u001b[1;32m 2031\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2032\u001b[0;31m \u001b[0mloc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2033\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/.virtualenvs/curso/lib/python3.6/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m 2443\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2444\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_maybe_cast_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2445\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc (pandas/_libs/index.c:5280)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc (pandas/_libs/index.c:5126)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.Int64HashTable.get_item (pandas/_libs/hashtable.c:14031)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.Int64HashTable.get_item (pandas/_libs/hashtable.c:13975)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mKeyError\u001b[0m: -1", "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0ms\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mix\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[1;32m/home/tin/.virtualenvs/curso/lib/python3.4/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 71\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_tuple\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 72\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 73\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_axis\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 74\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 75\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_get_label\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m/home/tin/.virtualenvs/curso/lib/python3.4/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_getitem_axis\u001b[1;34m(self, key, axis)\u001b[0m\n\u001b[0;32m 922\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 923\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 924\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_label\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 925\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 926\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_getitem_iterable\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m/home/tin/.virtualenvs/curso/lib/python3.4/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_get_label\u001b[1;34m(self, label, axis)\u001b[0m\n\u001b[0;32m 82\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_xs\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlabel\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 83\u001b[0m \u001b[1;32mexcept\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 84\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mlabel\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 85\u001b[0m elif (isinstance(label, tuple) and\n\u001b[0;32m 86\u001b[0m isinstance(label[axis], slice)):\n", - "\u001b[1;32m/home/tin/.virtualenvs/curso/lib/python3.4/site-packages/pandas/core/series.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 512\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m__getitem__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 513\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 514\u001b[1;33m \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_value\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 515\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 516\u001b[0m \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0misscalar\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m/home/tin/.virtualenvs/curso/lib/python3.4/site-packages/pandas/core/index.py\u001b[0m in \u001b[0;36mget_value\u001b[1;34m(self, series, key)\u001b[0m\n\u001b[0;32m 1458\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1459\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1460\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_value\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ms\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mk\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1461\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me1\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1462\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m0\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0minferred_type\u001b[0m \u001b[1;32min\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;34m'integer'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'boolean'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mpandas/index.pyx\u001b[0m in \u001b[0;36mpandas.index.IndexEngine.get_value (pandas/index.c:3113)\u001b[1;34m()\u001b[0m\n", - "\u001b[1;32mpandas/index.pyx\u001b[0m in \u001b[0;36mpandas.index.IndexEngine.get_value (pandas/index.c:2844)\u001b[1;34m()\u001b[0m\n", - "\u001b[1;32mpandas/index.pyx\u001b[0m in \u001b[0;36mpandas.index.IndexEngine.get_loc (pandas/index.c:3704)\u001b[1;34m()\u001b[0m\n", - "\u001b[1;32mpandas/hashtable.pyx\u001b[0m in \u001b[0;36mpandas.hashtable.Int64HashTable.get_item (pandas/hashtable.c:7255)\u001b[1;34m()\u001b[0m\n", - "\u001b[1;32mpandas/hashtable.pyx\u001b[0m in \u001b[0;36mpandas.hashtable.Int64HashTable.get_item (pandas/hashtable.c:7193)\u001b[1;34m()\u001b[0m\n", - "\u001b[1;31mKeyError\u001b[0m: -1" + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0ms\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mix\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m~/.virtualenvs/curso/lib/python3.6/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 119\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 120\u001b[0m \u001b[0mkey\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_apply_if_callable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 121\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 122\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 123\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_get_label\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/.virtualenvs/curso/lib/python3.6/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_getitem_axis\u001b[0;34m(self, key, axis)\u001b[0m\n\u001b[1;32m 1075\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1076\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1077\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_label\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1078\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1079\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_getitem_iterable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/.virtualenvs/curso/lib/python3.6/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_get_label\u001b[0;34m(self, label, axis)\u001b[0m\n\u001b[1;32m 130\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_xs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 131\u001b[0m \u001b[0;32mexcept\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 132\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 133\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mslice\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 134\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mIndexingError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'no slices here, handle elsewhere'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/.virtualenvs/curso/lib/python3.6/site-packages/pandas/core/series.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 599\u001b[0m \u001b[0mkey\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_apply_if_callable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 600\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 601\u001b[0;31m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 602\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 603\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mis_scalar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/.virtualenvs/curso/lib/python3.6/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_value\u001b[0;34m(self, series, key)\u001b[0m\n\u001b[1;32m 2475\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2476\u001b[0m return self._engine.get_value(s, k,\n\u001b[0;32m-> 2477\u001b[0;31m tz=getattr(series.dtype, 'tz', None))\n\u001b[0m\u001b[1;32m 2478\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2479\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m0\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minferred_type\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'integer'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'boolean'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_value (pandas/_libs/index.c:4404)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_value (pandas/_libs/index.c:4087)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc (pandas/_libs/index.c:5126)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.Int64HashTable.get_item (pandas/_libs/hashtable.c:14031)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.Int64HashTable.get_item (pandas/_libs/hashtable.c:13975)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mKeyError\u001b[0m: -1" ] } ], @@ -531,10 +495,8 @@ }, { "cell_type": "code", - "execution_count": 25, - "metadata": { - "collapsed": false - }, + "execution_count": 26, + "metadata": {}, "outputs": [ { "data": { @@ -542,7 +504,7 @@ "(4.5999999999999996, 23.0, 2.7018512172212592)" ] }, - "execution_count": 25, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -560,10 +522,8 @@ }, { "cell_type": "code", - "execution_count": 26, - "metadata": { - "collapsed": false - }, + "execution_count": 27, + "metadata": {}, "outputs": [ { "data": { @@ -579,7 +539,7 @@ "dtype: float64" ] }, - "execution_count": 26, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -598,9 +558,7 @@ { "cell_type": "code", "execution_count": 28, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -627,9 +585,7 @@ { "cell_type": "code", "execution_count": 29, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -649,9 +605,7 @@ { "cell_type": "code", "execution_count": 30, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "ename": "AttributeError", @@ -678,26 +632,24 @@ }, { "cell_type": "code", - "execution_count": 31, - "metadata": { - "collapsed": false - }, + "execution_count": 30, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 31, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdsAAAFXCAYAAADqCOSXAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xl0VvWh7vEn85wQSJhnkB8RCHkRrSPiWK0DCoKJeuyk\np7V1QoFze+46567zx713lUGt2lo91lZbSQRBQHGmzjOSkADhxzwECCQhZCBkfPf9A865tgWSQPa7\n3+H7WaurAXb2+6xNVr7uN8lLlOM4AgAA7on2egAAAOGO2AIA4DJiCwCAy4gtAAAuI7YAALiM2AIA\n4LLYzg4wxvxK0l2S/JLKJP3YWtvi9jAAAMLFae9sjTHDJd0raZK1doKkGEn5AdgFAEDY6OzOtl5S\nm6RkY0yHpGRJ+1xfBQBAGDntna219rCkRZL2SNov6Yi19v1ADAMAIFx09jTyKEkPSxouaaCkVGPM\nnQHYBQBA2OjsaeTJkj631tZIkjFmuaSLJb18soMdx3GioqJ6diEAAEGmqvaY/ufvP9OB6qN6fdG0\nTsPXWWw3S/o3Y0ySpGZJV0v6+lQHR0VFqaqqoVuD0X3Z2WlcZ5dxjd3HNQ4MrnPPq647pvmLi1Vd\n16wbLx7Wpffp7Gu26yW9JGmtpNITv/3cWa0EACBEVR05pl+/fDy0t1w6QtOnjOrS+3X6c7bW2vmS\n5p/tQAAAQtnB2iYtKCzW4foW3TplpG66eHiX37fT2AIAEOkqDzdp/uJ1OtLYqplTR+n6C7v29PF/\nIbYAAJzGgZqjmr+4WHVHW5V/5Whde8HQbp+D2AIAcAr7qhq1oLBY9U1tuuPqc3T15CFndB5iCwDA\nSew9dDy0jcfa9E/XjtEVkwaf8bmILQAAf2d3ZYMWFhWrqbldP7zO6PK8QWd1PmILAMB37Kqs16Ki\nEjU1t+tHPxiry3IHnvU5iS0AACds31+nx15Zr+bWdv30xhxdPH5Aj5yX2AIAIGlbRZ0eW1KilrYO\n3XvTubrw3P49dm5iCwCIeFv2HtHjS9errc2vn08br/PH9u3R8xNbAEBE27y7Vk+8ul4dHY7uu2Wc\nzjM9G1qJ2AIAItimXYf15Kul6vA7+sWt4+U7J9uVxyG2AICItGFHjZ5aXibHcXT/9AmaODrLtcci\ntgCAiFO6vVpPLy9TVFSUHpyRq/Ej+7j6eMQWABBRSrZW67evlSkmOkoP3JarccN7u/6YxBYAEDG+\ntVX6/coNiomJ0sO3TdTYYZkBeVxiCwCICN9sPqRnV25UXFy0Zs+cqDFDegXssYktACDsfbmpUs+/\nXq74uGg9MitPowdnBPTxiS0AIKx9saFSz6/epMT4WD1y+0SNGhjY0ErEFgAQxj4p3a8/vblZyYmx\neuT2PI0YkO7JDmILAAhLH5Xs04tvW6UkxmpOvk/D+qd5toXYAgDCzgfrKvTnd7coNSlOc/LzNLSf\nd6GViC0AIMy8v3avFr+/VenJcZpT4NPg7FSvJxFbAED4ePfrPSr66zZlpMRrboFPA7NSvJ4kidgC\nAMLEW1/u1tIPt6tX6vHQDugTHKGViC0AIAy8/vkuvfbxDmWmJWjeHT71y0z2etLfILYAgJC28tOd\nWvnpTvVJT9DcOyapb68kryf9A2ILAAhJjuPotU926o3PdykrI1Hz7vApKyP4QisRWwBACHIcR69+\ntF1vfblHfXslad4dPvVOT/R61ikRWwBASHEcR0s+2KZ3vt6rfr2TNa/Ap8y0BK9nnRaxBQCEDMdx\nVLhmq95fW6EBfZI1t8CnXqnBHVqJ2AIAQoTfcfTye1v0wbp9GpSVojkFPmWkxHs9q0uILQAg6Pkd\nR39+x+qjkv0anJ2qOQV5Sk8OjdBKxBYAEOT8fkd/enuzPi09oKH9UjUn36fUpDivZ3ULsQUABC2/\n39ELb5br8w2VGt4/TY/m5yklMbRCKxFbAECQ6vD79Yc3yvXlpoMaOTBdj8yaqOQQDK3UhdgaY4yk\nou/81khJ/2atfdK1VQCAiNbe4dd/vr5J32w+pNGDMjR71kQlJYTu/WGny621VpJPkowx0ZL2SXrN\n5V0AgAjV3uHXsys36tstVRozOEMPzQzt0Erdfxr5aknbrbV73RgDAIhsbe1+/X7lBhVvrdbYob30\n0G0TlRAf4/Wss9bd2OZLWuzGEABAZGtr79BvX9ug0u01Ond4ph6YkauEuNAPrSRFd/VAY0y8pJsk\nLXVvDgAgErW2deip5WUq3V6j8SN668EwCq0kRTmO06UDjTHTJN1nrb3uNId17WQAAJzQ3Nqu//3C\n1yrZWqXJOf30qx+er/jQCm1UZwd052nkAkmFnR1UVdXQjVPiTGRnp3GdXcY1dh/XODCC/Tq3tHbo\nN6+u1+Y9R5Q3Okv33pCjuiNNXs/qluzstE6P6dLTyMaYFB3/5qjlZ7kJAABJ0rGWdj2+pESb9xzR\neWOy9Ytbxysutstf3QwpXbqztdYelZTl8hYAQIQ4Htr12ravTpPH9tU/33SuYmPCM7QSryAFAAiw\npuY2PbZkvXbsr9f3zu2ne27MUUx0+IZWIrYAgAA62tymRUUl2lXZoIvG9ddPb8hRdHSn318U8ogt\nACAgGo+1aWFRsfYcbNSlEwboR9ePjYjQSsQWABAA9U2tWlhYooqqRk2ZOFB3X2cUHRUZoZWILQDA\nZXVHW7WwsFj7qo/qCt8g3XntmIgKrURsAQAuOtLYogWFxTpQ06SrzxusgqvPUVSEhVYitgAAl9Q2\ntGh+YbEOHm7StecP0e1Xjo7I0ErEFgDggsP1zZq/uFiHjhzT9RcO1W2Xj4rY0ErEFgDQw6rrjmn+\n4mJV1zXrxouH69bLRkR0aCViCwDoQYeOHNOCxcWqqW/WtEtHaNqlI7yeFBSILQCgRxysbdKCwmId\nrm/RrVNG6qaLh3s9KWgQWwDAWas83KT5i9fpSGOrbps6Sj+4cJjXk4IKsQUAnJX91Ue1oLBYdUdb\ndfuVo/X9C4Z6PSnoEFsAwBnbV9WoBYXFqm9qU8HV5+iayUO8nhSUiC0A4IzsPXQ8tI3H2nTXtWN0\n5aTBXk8KWsQWANBtuysbtLCoWEeb23X3dUZT8wZ5PSmoEVsAQLfsPFCvRUUlOtbSrh//YKwuyx3o\n9aSgR2wBAF22fX+dHntlvZpb2/XTG3N08fgBXk8KCcQWANAl2yrq9NiSErW0dejeG8/VheP6ez0p\nZBBbAECntuw9oseXrldbm18/nzZe54/t6/WkkEJsAQCntXl3rZ54db06Ohzdd8s4nWcIbXcRWwDA\nKW3cdVhPvVqqDr+jX9wyXr4x2V5PCknEFgBwUht21Oip5WVyHEf3T5+giaOzvJ4UsogtAOAflG6v\n1tPLyyRF6cEZuRo/so/Xk0IasQUA/I2SrdX67WtliomO0gO35Wrc8N5eTwp5xBYA8N++tVX6/coN\niomJ0kO3TVTOsEyvJ4UFYgsAkCR9s/mQnl25UXGx0Xp4Zq7MUELbU4gtAEBfbqrU86+XKz4uWo/M\nytPowRleTworxBYAItwXGyr1/OpNSoyP0SO352nUQELb04gtAESwT0r3609vblZSQqwezc/TiAHp\nXk8KS8QWACLURyX79OLbVimJsZqT79Ow/mleTwpbxBYAItAH6yr053e3KDUpTnPy8zS0H6F1E7EF\ngAjz/tq9Wvz+VqUnx2lOgU+Ds1O9nhT2iC0ARJB3v96jor9uU0ZKvOYW+DQwK8XrSRGB2AJAhHjr\ny91a+uF29Uo9HtoBfQhtoHQaW2NML0nPSxonyZH0E2vtl24PAwD0nNc/36XXPt6hzLQEzbvDp36Z\nyV5PiijRXTjmN5LetNbmSMqVVO7uJABAT1r56U699vEO9UlP0L/cOYnQeuC0d7bGmAxJl1lrfyhJ\n1tp2SXWBGAYAODuO4+gvb5Vr5ac7lZWRqHkFPmX1SvJ6VkTq7GnkEZKqjDF/lDRR0reSHrLWNrm+\nDABwxhzH0bKPdujNL3erb68kzbvDp97piV7PilidPY0cK2mSpN9ZaydJOirpf7i+CgBwVioPN+nN\nL3drUHaK/uXOSYTWY53d2VZIqrDWfnPi16+qk9hmZ/OD0YHAdXYf19h9XGP39O6TqkfvPE++MdnK\nSE3wek7EO21srbWVxpi9xpgx1totkq6WtPF071NV1dCT+3AS2dlpXGeXcY3dxzV237ghGcpITeA6\nu6wr/9HYlZ+zfUDSy8aYeEnbJf34LHcBABBROo2ttXa9pPMDsAUAgLDUlZ+zBQAAZ4HYAgDgMmIL\nAIDLiC0AAC4jtgAAuIzYAgDgMmILAIDLiC0AAC4jtgAAuIzYAgDgMmILAIDLiC0AAC4jtgAAuIzY\nAgDgMmILAIDLiC0AAC4jtgAAuIzYAgDgMmILAIDLiC0AAC4jtgAAuIzYAgDgMmILAIDLiC0AAC4j\ntgAAuIzYAgDgMmILAIDLiC0AAC4jtgAAuIzYAgDgMmILAIDLiC0AAC4jtgAAuIzYAgDgMmILAIDL\nYrtykDFml6R6SR2S2qy1F7i4CQCAsNKl2EpyJE211h52cwwAAOGoO08jR7m2AgCAMNbV2DqS3jfG\nrDXG3OvmIMBruysbtGlnjdczAISRKMdxOj3IGDPAWnvAGJMt6T1JD1hrPznJoZ2fDAhiX2+q1P/9\n0zcamJ2i38690us5AEJDp8/8dim232WM+V+SGq21i07yx05VVUO3zofuy85OE9e5563bUqVnVmxQ\nTHSU/v2eCzWwV6LXk8IaH8eBwXV2X3Z2Wqex7fRpZGNMsjEm7cTbKZKulVR29vOA4LF28yE9s2KD\nYmOiNXvWRE08J9vrSQDCSFe+G7mfpNeMMf91/MvW2nddXQUE0NflB/Xcqk2Ki4vW7JkTNWZIL68n\nAQgzncbWWrtTUl4AtgAB98XGSj3/xiYlxsdo9qw8jR6U4fUkAGGoqz9nC4Sdz8oO6IXV5UpKiNUj\nt+dp5MB0rycBCFPEFhHpk/X79ae3Nis5MVaP5udpeH9CC8A9xBYR58PifXrpHavUpDjNyc/T0H5p\nXk8CEOaILSLKmm8r9PJ7W5SWHKe5+T4N7pvq9SQAEYDYImK8981eFa7ZqvSUeM0t8GlQVorXkwBE\nCGKLiPD2V3u05INtykiN17wCnwb0IbQAAofYIuyt/mKXln20Q5lpCZpX4FO/3sleTwIQYYgtwtqq\nz3ZqxSc71Tv9eGj7ZhJaAIFHbBGWHMfRyk93atVnu5SVkai5BT5l90ryehaACEVsEXYcx9Hyj3do\n9Re7ld0rUfMKJqlPBv+oAADvEFuEFcdxtPTD7Xr7qz3qm5mkeQU+9U4ntAC8RWwRNhzHUdGabXpv\n7V71752suQU+ZaYleD0LAIgtwoPjOFr83latWVehgVkpmpufp4xUQgsgOBBbhDy/4+gv727Rh8X7\nNCg7RXPzfUpPifd6FgD8N2KLkOZ3HL309mZ9vP6AhvRN1Zz8PKUlE1oAwYXYImT5/Y7++Fa5Piur\n1LB+aXo0P0+pSXFezwKAf0BsEZI6/H69sLpcX2w8qBED0vTI7XlKSSS0AIITsUXI6fD79Z+vb9LX\n5Yc0amC6Zs/KU3IiH8oAghefoRBS2jv8em7VRq21VRo9OEOzZ05UUgIfxgCCG5+lEDLaO/z6/cqN\nWrelSmOG9NLDM3OVGM+HMIDgx2cqhIS2dr+eWbFBJduqlTMsUw/OyFVCfIzXswCgS4gtgl5be4ee\nXr5BZTtqNG54pu6fkauEOEILIHQQWwS11rYOPbW8TBt3Htb4kb31wPQJiosltABCC7FF0Gpp7dCT\ny0pVvrtWE0f10S9unaC42GivZwFAtxFbBKXm1nb9Zmmp7N4j8p2TpftuGa/YGEILIDQRWwSdYy3t\nemLpem2tqNN5Jls/u3kcoQUQ0ogtgkpTc7seX1Ki7fvrdUFOX91z47mEFkDII7YIGk3NbVr0Sol2\nHmjQheP66ac35CgmmtACCH3EFkGh8VibFhWVaPfBBl0yvr9+/IMcRUdHeT0LAHoEsYXnGppatbCo\nRHsPNeqy3AH64fVjFR1FaAGED2ILT9UfbdXComJVVB3VVN8g3XXtGEILIOwQW3imrrFFC4pKtL/6\nqK6aNFh3XHOOoggtgDBEbOGJ2oYWLSgsVuXhJl0zeYjyrxpNaAGELWKLgDtc36wFhcU6WHtM110w\nVDOvGEVoAYQ1YouAqqlr1vzCdao60qwbLhqm6VNGEloAYa9LsTXGxEhaK6nCWnuTu5MQrqqPHNP8\nwmJV1zXr5kuGa9qlIwgtgIjQ1TvbhyRtkpTm4haEsUO1TVpQWKya+hbdcukI3XzpCK8nAUDAdPry\nPMaYwZJ+IOl5SdyGoNsOHm7SrxcfD+2My0cSWgARpyt3to9Lmisp3eUtCEMHao5qfmGx6hpbNeuK\n0brue0O9ngQAAXfa2BpjbpR0yFpbbIyZ2pUTZmfzTHMghMJ13lNZrwVFJaprbNU908Zr2pRRXk/q\nllC4xqGOaxwYXGfvRTmOc8o/NMb8H0n/JKldUqKO390us9befYp3caqqGnp8JP5Wdnaagv06Vxxq\n1IKiYjU0tenOa8boqvMGez2pW0LhGoc6rnFgcJ3dl52d1umXWE97Z2ut/VdJ/ypJxpjLJc05TWgB\nSdKegw1aWFSixmNtuvv7RlN9g7yeBACe6u7P2Z76NhiQtLuyQQuLitXU3K4fXT9WUyYO9HoSAHiu\ny7G11n4k6SMXtyDE7TxQr0VFJTrW0q6f3JCjSyYM8HoSAAQFXkEKPWLbvjo9vqREza0duuemc3XR\nuP5eTwKAoEFscda27D2ix5euV1ubXz+7eZwuyOnn9SQACCrEFmfF7qnVE0tL1d7h18+njdPksX29\nngQAQYfY4oyV7zqs37xaqg6/o/tuGa9JY7K9ngQAQYnY4oxs2Fmjp5aVyXEc/XL6BOWNzvJ6EgAE\nLWKLbivdXqOnl5dJku6fnqvcUX08XgQAwY3YoltKtlbrdyvKFBUVpQdmTND4EYQWADpDbNFl67ZU\n6ZkVGxQTHaWHbstVzvDeXk8CgJBAbNElazcf0rOrNio2JloPz8yVGZrp9SQACBnEFp36uvygnlu1\nSXFx0Zo9c6LGDOnl9SQACCnEFqf1xcZKPf/GJiXGx2j2rDyNHpTh9SQACDnEFqf0WdkBvbC6XEkJ\nsXrk9jyNHJju9SQACEnEFif18fr9evGtzUpOjNWcfJ+G9ecfnwaAM0Vs8Q8+LN6nl96xSk2K05z8\nPA3tR2gB4GwQW/yNNd9W6OX3tigtOU5z830a3DfV60kAEPKILf7bu9/sVdGarUpPidfcAp8GZaV4\nPQkAwgKxhSTp7a/2aMkH25SRGq95BT4N6ENoAaCnEFto9Re7tOyjHcpMS9C8Ap/69U72ehIAhBVi\nG+FWfbpTKz7dqT7pCZpb4FPfTEILAD2N2EYox3G04pOdev3zXcrKSNS8Ap+yeiV5PQsAwhKxjUCO\n42j5xzu0+ovdyu6VqHkFk9QnI9HrWQAQtohthHEcR0s/2K63v96jfplJmlvgU+90QgsAbiK2EcRx\nHBWt2ab31u5V/97JmlvgU2ZagtezACDsEdsI4TiOFr+3VWvWVWhgVorm5ucpI5XQAkAgENsI4Hcc\n/eUdqw9L9mtwdorm5PuUnhLv9SwAiBjENsz5HUcvvrVZn5Qe0JC+qZqTn6e0ZEILAIFEbMOY3+/o\nj2+W67MNlRrWL02P5ucpNSnO61kAEHGIbZjq8Pv1h9Xl+nLjQY0YkKZHbs9TSiKhBQAvENsw1OH3\n6z9f36Svyw9p1MB0zZ6Vp+RE/qoBwCt8Bg4z7R1+Pbtqo761VRo9OEOzZ05UUgJ/zQDgJT4Lh5H2\nDr+eWbFBxVurZYb00kMzc5UYz18xAHiNz8Rhoq3dr9+9Vqb122uUMyxTD87IVUJ8jNezAAAitmGh\nrb1DTy/foLIdNRo3PFP3z8hVQhyhBYBgQWxDXEtbh55eVqqNu2o1YWQf3T99vOJiCS0ABJNOY2uM\nSZT0kaQESfGSVlprf+X2MHSupbVDTy4rVfnuWk0c1Ue/uHWC4mKjvZ4FAPg7nX5mttY2S7rCWpsn\nKVfSFcaYS11fhtNqbm3X40vXq3x3rXznZOmX0wktAASrLj2NbK1tOvFmvKQYSYddW4RONTW36bEl\n67Wtok6TTbb++eZxio0htAAQrLoUW2NMtKR1kkZJesZau8nVVTilpuZ2/brwC22rqNMFOX11703n\nKiaa0AJAMOvSZ2lrrf/E08iDJU0xxkx1dRVO6mhzmxa9Uiy7u1YXjutHaAEgREQ5jtOtdzDG/Juk\nY9bahSf54+6dDF1Wf7RV//7c59peUacrJw/Rg7f7FBMd5fUsAIDU6Sfjrnw3cpakdmvtEWNMkqRr\nJP3HqY6vqmro1kJ0rqGpVQuLSrT3UKOmTBygh273qaam0etZYS07O42PZZdxjQOD6+y+7Oy0To/p\nytdsB0h68cTXbaMl/dlau+Yst6GL6o+2amFRsSqqjmqqb5DuunaMormjBYCQ0mlsrbVlkiYFYAv+\nTl1jixYUlWh/9VFdNWmw7rjmHEVFEVoACDW8glSQqm1o0YLCYlUebtI1k4co/6rRhBYAQhSxDUKH\n65u1oLBYB2uP6brvDdXMqaMILQCEMGIbZGrqmjW/cJ2qjjTrhouGafqUkYQWAEIcsQ0i1UeOaX5h\nsarrmnXzJcM17dIRhBYAwgCxDRKHaps0v7BYh+tbdMtlI3TzJSO8ngQA6CHENggcPHw8tLUNLZpx\n+UjdcNFwrycBAHoQsfXYgZqjml9YrLrGVs26YrSu+95QrycBAHoYsfXQvqpGLSgqUf3RVuVfdY6u\nPX+I15MAAC4gth6pONSoBUXFamhq053XjNFV5w32ehIAwCXE1gN7DjZoYVGJGo+16e7vG031DfJ6\nEgDARcQ2wHZV1mtRUYmamtv1o+vHasrEgV5PAgC4jNgG0I799Vr0SomaW9r1kxtydMmEAV5PAgAE\nALENkG376vT4khI1t3bonpvO1UXj+ns9CQAQIMQ2ALbsPaLHl65XW5tfP7t5nC7I6ef1JABAABFb\nl9k9tXpiaanaO/z6+bRxmjy2r9eTAAABRmxdVL7rsH7zaqk6/I7uu2W8Jo3J9noSAMADxNYlG3bW\n6KllZXIcR7+cPkF5o7O8ngQA8AixdUHp9ho9vbxMknT/9Fzljurj8SIAgJeIbQ8r2Vqt360oU1RU\nlB6YMUHjRxBaAIh0xLYHrdtSpWdWbFBMTJQempGrnOG9vZ4EAAgCxLaHrN18SM+u2qjYmGg9PDNX\nZmim15MAAEGC2PaAr8sP6rlVmxQXF63ZMydqzJBeXk8CAAQRYnuWvthYqeff2KTE+Bg9MitPowZl\neD0JABBkiO1Z+KzsgF5YXa6khFg9mp+nEQPSvZ4EAAhCxPYMfbx+v158a7OSE2M1J9+nYf3TvJ4E\nAAhSxPYMfFi8Ty+9Y5WaFKc5+Xka2o/QAgBOjdh205pvK/Tye1uUlhynufk+De6b6vUkAECQI7bd\n8O43e1W0ZqvSU+I1t8CnQVkpXk8CAIQAYttFb3+1R0s+2KaM1HjNK/BpQB9CCwDoGmLbBau/2KVl\nH+1QZlqC5hX41K93steTAAAhhNh2YtWnO7Xi053qk56guQU+9c0ktACA7iG2p+A4jlZ8slOvf75L\nWRmJmlfgU1avJK9nAQBCELE9CcdxtPzjHVr9xW5l90rUvIJJ6pOR6PUsAECIIrZ/x3EcLf1wu97+\nao/6ZSZpboFPvdMJLQDgzBHb73AcR0Vrtum9tXs1oE+y5uT7lJmW4PUsAECI6zS2xpghkl6S1FeS\nI+k5a+2Tbg8LNMdxtPi9rVqzrkIDs1I0Nz9PGamEFgBw9qK7cEybpNnW2nGSLpT0S2NMjruzAsvv\nOPrzu1u0Zl2FBmenaF6Bj9ACAHpMp7G11lZaa0tOvN0oqVzSQLeHBYrfcfTS25v1YfE+DembqrkF\nPqWnxHs9CwAQRrr1NVtjzHBJPklfubImwPx+R398s1yfbajUsH5pejQ/T6lJcV7PAgCEmS7H1hiT\nKulVSQ+duMMNaR1+v/6wulxfbjyoEQPS9MjteUpJJLQAgJ4X5ThOpwcZY+IkvSHpLWvtE6c5tPOT\nBYGODr8eW7xOH5fskxmWqf+49yKlcEcLADgzUZ0e0FlsjTFRkl6UVGOtnd3J+Zyqqoauz/NAe4df\nz67aqG9tlUYPztDsmROVlBBaPwGVnZ2mYL/OoY5r7D6ucWBwnd2XnZ3WaWy7UplLJN0lqdQYU3zi\n935lrX37bMZ5ob3Dr2dWbFDx1mqZIb300MxcJcaHVmgBAKGn09JYaz9V135EKKi1tR8Pbcm2auUM\ny9SDM3KVEB/j9SwAQASIiNu6tvYOPb18g8p21Gjc8EzdPyNXCXGEFgAQGGEf29a2Dj21rFQbd9Vq\nwsg+un/6eMXFEloAQOCEdWxbWjv05LJSle+u1cRRffSLWycoLjbknxEHAISYsI1tc2u7nlhaqi17\nj8h3Tpbuu2W8YmMILQAg8MIytsda2vX40vXaVlGnySZb/3zzOEILAPBM2MW2qbldjy8p0fb99bog\np6/uvelcxUQTWgCAd8Iqtk3NbVr0Sol2HmjQheP66ac35BBaAIDnwia2jcfatKioRLsPNuiSCf31\n4+tzFB3d6Yt6AADgurCIbUNTqxYWlWjvoUZNmThAd183VtFRhBYAEBxCPrb1R1u1sKhYFVVHNdU3\nSHddO4bQAgCCSkjHtq6xRQuKSrS/+qiumjRYd1xzjqIILQAgyIRsbGsbWrSgsFiVh5t0zeQhyr9q\nNKEFAASlkIzt4fpmLSgs1sHaY7rue0M1c+ooQgsACFohF9uaumbNL1ynqiPNuuGiYZo+ZSShBQAE\ntZCKbfWRY5pfWKzqumbdfMlwTbt0BKEFAAS9kIntodomLSgsVk19i265bIRuvmSE15MAAOiSkIjt\nwcNNml9YrNqGFs24fKRuuGi415MAAOiyoI/tgZqjml9YrLrGVs26YrSu+95QrycBANAtQR3bfdVH\ntaCwWPUv//GBAAAFVklEQVRHW5V/1Tm69vwhXk8CAKDbgja2FYcataCoWA1NbbrzmjG66rzBXk8C\nAOCMBGVs9xxs0MKiEjUea9Pd3zea6hvk9SQAAM5Y0MV2d2WDFhYVq6m5XT+6fqymTBzo9SQAAM5K\nUMV254F6LSoq0bGWdv3khhxdMmGA15MAADhrQRPb7fvq9NiSEjW3duiem87VReP6ez0JAIAeERSx\n3VpxRI8vWa/WNr9+dvM4XZDTz+tJAAD0GM9ja/fU6omlpWrv8Ovn08Zp8ti+Xk8CAKBHeRrb8l2H\n9ZtXS9Xhd3TfLeM1aUy2l3MAAHCFZ7HduPOwnlxWKsdx9MvpE5Q3OsurKQAAuMqT2JZur9HTy8sk\nSfdPz1XuqD5ezAAAICACHtuSbdX63WtlioqK0gMzJmj8CEILAAhvAY3tui1VembFBsXEROmhGbnK\nGd47kA8PAIAnAhbbtZsP6dlVGxUbE62HZ+bKDM0M1EMDAOCpgMT26/KDem7VJsXFRWv2zIkaM6RX\nIB4WAICg4Hpsv9hYqeff2KTE+Bg9MitPowZluP2QAAAEFVdj+1nZAb2wulxJCbF6ND9PIwaku/lw\nAAAEpU5ja4x5QdINkg5Zayd09cQfr9+vF9/arOTEWM3J92lY/7Sz2QkAQMiK7sIxf5R0XXdO+mHx\nPv3prc1KSYrT3AJCCwCIbJ3G1lr7iaTarp5wzbcVeukdq7TkOM0r8GloP0ILAIhsPfo125Ufb9fL\n721Rekq85hb4NCgrpSdPDwBASOrR2D6/coMyUuM1r8CnAX0ILQAAkhTlOE6nBxljhkt6vTvfIAUA\nAI7ryjdIAQCAs9Dpna0xplDS5ZL6SDok6d+ttX8MwDYAAMJCl55GBgAAZ46nkQEAcBmxBQDAZcQW\nAACX9djP2RpjrpP0hKQYSc9ba3/dU+fGcWf6OtXoOmPMEEkvSeoryZH0nLX2SW9XhRdjTKKkjyQl\nSIqXtNJa+ytvV4UnY0yMpLWSKqy1N3m9JxwZY3ZJqpfUIanNWnvByY7rkTvbE3+hT+v4ayifK6nA\nGJPTE+fG3+j261Sj29okzbbWjpN0oaRf8rHcs6y1zZKusNbmScqVdIUx5lKPZ4WrhyRt0vH/cIQ7\nHElTrbW+U4VW6rmnkS+QtM1au8ta2yapSNK0Hjo3Tuju61Sj+6y1ldbakhNvN0oqlzTQ21Xhx1rb\ndOLNeB1/Nuywh3PCkjFmsKQfSHpeUpTHc8Jdp9e3p2I7SNLe7/y64sTvASHrxCun+SR95fGUsGOM\niTbGlEg6KOkDa+0mrzeFocclzZXk93pImHMkvW+MWWuMufdUB/VUbHmKAmHFGJMq6VVJD524w0UP\nstb6TzyNPFjSFGPMVI8nhRVjzI06/r0dxeKu1m2XWGt9kq7X8S87XXayg3oqtvskDfnOr4fo+N0t\nEHKMMXGSlkn6i7V2hdd7wpm1tk7SakmTvd4SZi6WdLMxZqekQklXGmNe8nhTWLLWHjjx/1WSXtPx\nL6v+g56K7VpJ5xhjhhtj4iXdLmlVD50bCBhjTJSkP0jaZK19wus94cgYk2WM6XXi7SRJ10gq9nZV\neLHW/qu1doi1doSkfEl/tdbe7fWucGOMSTbGpJ14O0XStZLKTnZsj8TWWtsu6X5J7+j4d769Yq0t\n74lz4/878TrVn0saY4zZa4z5sdebwtAlku7S8e+QLT7xP74DvGcNkPTXE1+z/UrH/0WxNR5vCnd8\nqc8d/SR98p2P5Teste+e7EBeGxkAAJfxClIAALiM2AIA4DJiCwCAy4gtAAAuI7YAALiM2AIA4DJi\nCwCAy4gtAAAu+38AZgiJrOo0mQAAAABJRU5ErkJggg==\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdwAAAFJCAYAAAAxCJwFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -708,28 +660,6 @@ "s.plot()" ] }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "s.plot?" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "s.plot?" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -740,9 +670,7 @@ { "cell_type": "code", "execution_count": 37, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -774,9 +702,7 @@ { "cell_type": "code", "execution_count": 38, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -796,9 +722,7 @@ { "cell_type": "code", "execution_count": 39, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -818,9 +742,7 @@ { "cell_type": "code", "execution_count": 41, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -850,9 +772,7 @@ { "cell_type": "code", "execution_count": 43, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -881,9 +801,7 @@ { "cell_type": "code", "execution_count": 46, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -906,9 +824,7 @@ { "cell_type": "code", "execution_count": 47, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -944,20 +860,23 @@ }, { "cell_type": "code", - "execution_count": 49, - "metadata": { - "collapsed": false - }, + "execution_count": 31, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "\n", - "[2010-01-01, ..., 2012-09-26]\n", - "Length: 1000, Freq: D, Timezone: None" + "DatetimeIndex(['2010-01-01', '2010-01-02', '2010-01-03', '2010-01-04',\n", + " '2010-01-05', '2010-01-06', '2010-01-07', '2010-01-08',\n", + " '2010-01-09', '2010-01-10',\n", + " ...\n", + " '2012-09-17', '2012-09-18', '2012-09-19', '2012-09-20',\n", + " '2012-09-21', '2012-09-22', '2012-09-23', '2012-09-24',\n", + " '2012-09-25', '2012-09-26'],\n", + " dtype='datetime64[ns]', length=1000, freq='D')" ] }, - "execution_count": 49, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -968,26 +887,24 @@ }, { "cell_type": "code", - "execution_count": 51, - "metadata": { - "collapsed": false - }, + "execution_count": 32, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 51, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAecAAAFiCAYAAADMcBA/AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeQAAAFTCAYAAADoYX80AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nhgwAgAnQkAEAMAEaMgAAJvB/631XQwWRSXkAAAAASUVORK5CYII=\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -1000,17 +917,6 @@ "ts.plot()" ] }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "ts.index.factorize?" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -1022,15 +928,26 @@ }, { "cell_type": "code", - "execution_count": 56, - "metadata": { - "collapsed": false - }, + "execution_count": 33, + "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
\n", + "
\n", + "\n", "\n", " \n", " \n", @@ -1044,38 +961,38 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
2010-01-01-1.262105-1.228255-0.4814570.831940-1.536303-0.6861490.3590301.810788
2010-01-02-0.203671-1.307074-0.074229-1.059373-0.357695-0.952089-0.5258061.960201
2010-01-03-1.3250950.1318560.802144-0.049180-0.419310-1.484320-1.296897-0.536892
2010-01-040.4577750.410038-0.0215230.6987410.297675-1.9884240.417766-1.207143
2010-01-050.117234-1.238326-0.7617551.3148171.001379-0.3848611.073841-0.524555
\n", @@ -1083,14 +1000,14 @@ ], "text/plain": [ " A B C D\n", - "2010-01-01 -1.262105 -1.228255 -0.481457 0.831940\n", - "2010-01-02 -0.203671 -1.307074 -0.074229 -1.059373\n", - "2010-01-03 -1.325095 0.131856 0.802144 -0.049180\n", - "2010-01-04 0.457775 0.410038 -0.021523 0.698741\n", - "2010-01-05 0.117234 -1.238326 -0.761755 1.314817" + "2010-01-01 -1.536303 -0.686149 0.359030 1.810788\n", + "2010-01-02 -0.357695 -0.952089 -0.525806 1.960201\n", + "2010-01-03 -0.419310 -1.484320 -1.296897 -0.536892\n", + "2010-01-04 0.297675 -1.988424 0.417766 -1.207143\n", + "2010-01-05 1.001379 -0.384861 1.073841 -0.524555" ] }, - "execution_count": 56, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } @@ -1102,15 +1019,26 @@ }, { "cell_type": "code", - "execution_count": 57, - "metadata": { - "collapsed": false - }, + "execution_count": 34, + "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
\n", + "
\n", + "\n", "\n", " \n", " \n", @@ -1124,38 +1052,38 @@ " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
2012-09-220.3160271.2423400.0002790.2403490.355165-1.7172120.683035-0.413115
2012-09-23-0.655538-1.807091-0.0029380.3989820.3992040.170302-1.9532050.514796
2012-09-24-1.6230600.681989-0.383899-0.598654-0.3263441.7415300.737105-0.557197
2012-09-25-0.1278680.6780692.2496640.4038432.2544740.570247-0.162486-0.795563
2012-09-26-0.532209-0.8988181.423895-0.3865240.368155-0.349530-1.5689590.190495
\n", @@ -1163,14 +1091,14 @@ ], "text/plain": [ " A B C D\n", - "2012-09-22 0.316027 1.242340 0.000279 0.240349\n", - "2012-09-23 -0.655538 -1.807091 -0.002938 0.398982\n", - "2012-09-24 -1.623060 0.681989 -0.383899 -0.598654\n", - "2012-09-25 -0.127868 0.678069 2.249664 0.403843\n", - "2012-09-26 -0.532209 -0.898818 1.423895 -0.386524" + "2012-09-22 0.355165 -1.717212 0.683035 -0.413115\n", + "2012-09-23 0.399204 0.170302 -1.953205 0.514796\n", + "2012-09-24 -0.326344 1.741530 0.737105 -0.557197\n", + "2012-09-25 2.254474 0.570247 -0.162486 -0.795563\n", + "2012-09-26 0.368155 -0.349530 -1.568959 0.190495" ] }, - "execution_count": 57, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -1188,11 +1116,20 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "pandas.core.series.Series" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "type(df.A)" ] @@ -1200,9 +1137,7 @@ { "cell_type": "code", "execution_count": 62, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -1238,15 +1173,26 @@ }, { "cell_type": "code", - "execution_count": 65, - "metadata": { - "collapsed": false - }, + "execution_count": 36, + "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
\n", + "
\n", + "\n", "\n", " \n", " \n", @@ -1261,33 +1207,33 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1296,14 +1242,14 @@ "" ], "text/plain": [ - " A B C D E\n", - "0 1 2013-01-02 1 3.0 foo\n", - "1 1 2013-01-02 1 2.0 foo\n", - "2 1 2013-01-02 1 1.0 foo\n", - "3 1 2013-01-02 1 0.9 foo" + " A B C D E\n", + "0 1.0 2013-01-02 1.0 3.0 foo\n", + "1 1.0 2013-01-02 1.0 2.0 foo\n", + "2 1.0 2013-01-02 1.0 1.0 foo\n", + "3 1.0 2013-01-02 1.0 0.9 foo" ] }, - "execution_count": 65, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -1319,15 +1265,26 @@ }, { "cell_type": "code", - "execution_count": 66, - "metadata": { - "collapsed": false - }, + "execution_count": 37, + "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
\n", + "
\n", + "\n", "
011.02013-01-0211.03.0foo
111.02013-01-0211.02.0foo
211.02013-01-0211.01.0foo
311.02013-01-0211.00.9foo
\n", " \n", " \n", @@ -1340,36 +1297,36 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", "
02013-01-0211.0
12013-01-0211.0
22013-01-0211.0
32013-01-0211.0
\n", "
" ], "text/plain": [ - " B C\n", - "0 2013-01-02 1\n", - "1 2013-01-02 1\n", - "2 2013-01-02 1\n", - "3 2013-01-02 1" + " B C\n", + "0 2013-01-02 1.0\n", + "1 2013-01-02 1.0\n", + "2 2013-01-02 1.0\n", + "3 2013-01-02 1.0" ] }, - "execution_count": 66, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -1380,15 +1337,26 @@ }, { "cell_type": "code", - "execution_count": 69, - "metadata": { - "collapsed": false - }, + "execution_count": 38, + "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
\n", + "
\n", + "\n", "\n", " \n", " \n", @@ -1403,33 +1371,33 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1438,14 +1406,14 @@ "" ], "text/plain": [ - " A B C D E\n", - "0 1 2013-01-02 1 3.0 foo\n", - "1 1 2013-01-02 1 2.0 foo\n", - "2 1 2013-01-02 1 1.0 foo\n", - "3 1 2013-01-02 1 0.9 foo" + " A B C D E\n", + "0 1.0 2013-01-02 1.0 3.0 foo\n", + "1 1.0 2013-01-02 1.0 2.0 foo\n", + "2 1.0 2013-01-02 1.0 1.0 foo\n", + "3 1.0 2013-01-02 1.0 0.9 foo" ] }, - "execution_count": 69, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -1465,10 +1433,8 @@ }, { "cell_type": "code", - "execution_count": 70, - "metadata": { - "collapsed": false - }, + "execution_count": 39, + "metadata": {}, "outputs": [], "source": [ "url = 'https://raw.githubusercontent.com/rjtavares/football-crunching/master/datasets/cl-shots-2012.csv'\n", @@ -1477,18 +1443,18 @@ }, { "cell_type": "code", - "execution_count": 71, - "metadata": { - "collapsed": false - }, + "execution_count": 40, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Index(['dist', 'dx', 'dy', 'event_id', 'goal', 'play_id', 'player', 'shot', 'team', 'x', 'y'], dtype='object')" + "Index(['dist', 'dx', 'dy', 'event_id', 'goal', 'play_id', 'player', 'shot',\n", + " 'team', 'x', 'y'],\n", + " dtype='object')" ] }, - "execution_count": 71, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -1499,15 +1465,26 @@ }, { "cell_type": "code", - "execution_count": 72, - "metadata": { - "collapsed": false - }, + "execution_count": 41, + "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
\n", + "
\n", + "\n", "
011.02013-01-0211.03.0foo
111.02013-01-0211.02.0foo
211.02013-01-0211.01.0foo
311.02013-01-0211.00.9foo
\n", " \n", " \n", @@ -1623,7 +1600,7 @@ "12 Porto 91.245 38.012 " ] }, - "execution_count": 72, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } @@ -1650,10 +1627,8 @@ }, { "cell_type": "code", - "execution_count": 75, - "metadata": { - "collapsed": false - }, + "execution_count": 42, + "metadata": {}, "outputs": [ { "data": { @@ -1661,7 +1636,7 @@ "10.951773001848336" ] }, - "execution_count": 75, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -1679,27 +1654,59 @@ }, { "cell_type": "code", - "execution_count": 78, - "metadata": { - "collapsed": false - }, + "execution_count": 43, + "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
\n", + "
\n", + "\n", "
\n", " \n", - " \n", + " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -1711,766 +1718,944 @@ " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
distdx...xy
distdxdygoalshotxycountmeanstdmin25%50%75%maxcountmean...75%maxcountmeanstdmin25%50%75%max
team
Ajaxcount51.00000051.00000051.000000515151.00000051.000000
meanAjax51.019.3860787.3000354.08540113.72245520.31703525.22805433.83897551.05.2520591.5493330.1372549166.806765...91.14000100.80051.032.5826679.68427314.48424.95631.07641.03855.964
std7.30003517.6743859.6777480.3475404033.9540579.684273Anderlecht37.018.5428607.9719106.42401912.49822716.19290126.68415734.94132237.0-0.805946...90.72000102.16537.034.7130819.52702211.90026.99635.15643.31648.892
min4.085401-29.925000-20.740000FalseTrue0.21000014.484000Arsenal37.015.0509646.2325075.27326910.32290714.76680119.39059426.88966537.00.175946...93.9750099.96037.034.9189199.6015299.58826.45234.88441.75251.748
25%13.722455-9.345000-6.5620000126.25000024.956000BATE49.020.1739188.5089286.82635513.43959217.66140927.05520143.29360049.0-4.735714...87.5700098.49049.033.22979611.0156898.22826.72434.00041.61658.820
50%20.31703510.9200001.9040000185.05000031.076000Barcelona118.017.1497347.5416864.26123410.55469816.26635222.69500741.683173118.00.460042...90.82500100.275118.034.5780008.9607258.02427.47235.02041.66756.168
75%25.22805417.4825009.7920000191.14000041.038000Bayern128.017.5178338.1596040.00000011.21339617.04266023.02963344.005908127.02.149606...94.02750105.000128.031.8123139.02334712.58024.95631.00837.91055.896
max33.83897531.92000023.596000TrueTrue100.80000055.964000Benfica74.019.0071167.8691864.92284512.45254619.87914524.55249536.97348174.00.151824...86.49375101.64074.032.1557308.57731715.36824.88832.60637.51951.476
Anderlechtcount37.00000037.00000037.000000373737.00000037.000000Braga69.018.9413179.0828403.79659911.15529617.70928425.77207836.08193069.01.387826...89.46000102.06069.033.60284110.2292426.93626.45234.00041.88859.160
mean18.542860-0.805946-0.6120000.1081081154.72486534.713081CFR Cluj45.020.79513611.5220794.32805511.51018617.05415228.33678754.92211545.04.022667...92.92500101.22045.032.5024897.57045919.17626.65632.36838.76053.244
std7.97191018.0875199.4196160.3148001037.8980669.527022Celtic57.019.4221919.3247242.58400011.53426518.10143027.34873748.38414457.00.116053...87.57000105.00057.031.0628778.81278112.03625.09231.82434.61253.244
min6.424019-30.135000-15.300000FalseTrue3.88500011.900000Chelsea64.016.7494248.0899511.84036110.85745516.03847621.72006740.79473764.0-1.847344...92.71500103.42564.032.2054388.47409110.33626.06131.48438.98147.804
25%12.498227-15.435000-7.6840000119.63500026.996000Dinamo Zagreb30.019.7569428.4740915.69868611.48411119.21686726.19876734.63848530.03.027500...92.45250103.63530.033.6464008.58104320.53627.89732.70838.52249.368
50%16.1929012.835000-3.3320000179.27500035.156000Dortmund138.018.0997827.4133095.56004012.21462916.56348823.20822241.040176138.0-1.273696...86.52000102.690138.033.2096239.7529492.85626.16333.49039.95061.200
75%26.68415714.2800004.9640000190.72000043.316000Dynamo Kyiv50.019.9439248.2953955.44382711.80646520.25897527.02910333.93620350.0-2.631300...86.44125100.69550.031.06240010.7091277.54824.44630.80437.53663.444
max34.94132225.72500025.840000TrueTrue102.16500048.892000Galatasaray91.019.4931128.2679515.66123812.88890918.29173625.81766439.38087191.0-3.062308...82.4250099.12091.033.0868578.53023617.61226.31633.11640.56252.836
Arsenalcount37.00000037.00000037.000000373737.00000037.000000Juventus118.018.0290217.7108192.17600012.52710017.09401923.79529137.066559118.0-0.966356...90.72000104.370118.032.4475258.44242816.18426.01030.90638.28452.904
mean15.0509640.175946-1.6154590.2432432150.90513534.918919LOSC57.020.6618527.2980556.00117114.35704120.94093925.88296238.95709057.0-1.980263...81.7950097.33557.032.6447729.25736914.89225.29633.59239.16849.640
std6.23250712.79624710.2572040.4349588041.7082019.601529Man. City53.016.0323457.9279743.52769411.06602613.40470920.08381245.98009253.00.800377...94.60500102.79553.034.3476988.38656916.79628.28834.00040.52861.064
min5.273269-22.575000-22.168000FalseTrue3.4650009.588000Man. United87.015.8085157.7468463.9640899.82998713.67649520.90991334.95511687.0-0.797759...93.45000102.90087.033.8413339.08335210.54027.50635.49639.78050.320
25%10.322907-11.130000-7.6160000111.13000026.452000Milan67.018.1830037.8076762.68061612.68205318.17596824.27248734.09812367.0-2.004403...88.56750102.69067.034.99361210.29842710.26827.13235.70043.01053.244
50%14.766801-3.465000-1.6320000122.57500034.884000Montpellier53.023.6532378.9261253.46500016.81375623.41746829.24992641.84488153.05.511509...86.31000101.53553.033.91147211.32653213.12424.68434.00041.07261.404
75%19.3905949.9750003.3320000193.97500041.752000Málaga68.017.6830597.7351591.28902411.29382117.00916022.22177437.32794368.00.421544...89.85375103.74068.033.9280008.4840586.46028.33934.00040.32450.728
max26.88966522.05000022.236000TrueTrue99.96000051.748000Nordsjælland31.020.3459619.7520313.99231712.01453719.54346829.40500735.70007931.0-3.309194...77.80500101.01031.034.7721298.28727318.56429.98833.66040.59649.436
BATEcount49.00000049.00000049.000000494949.00000049.000000Olympiacos50.019.0011737.9893884.79725612.85416216.97773326.00141635.32545050.0-1.625400...91.24500100.38050.032.7964009.03847615.02824.99034.95239.62752.360
mean20.173918-4.7357141.0061220.1836735145.45000033.229796PSG106.016.9550206.9693593.62480311.36660316.61455121.98456436.370648106.00.848915...93.00375105.000106.031.6597748.72496117.06825.41530.19238.28453.312
std8.50892818.29925911.3612160.3912304036.44461211.015689Porto69.018.3974196.6642123.75249714.00731817.24809723.53778235.18056769.00.031957...92.19000101.85069.035.2121748.29290113.73629.17234.88442.43249.504
min6.826355-32.445000-24.956000FalseTrue5.0400008.228000Real Madrid166.018.0822658.2317940.00000011.07942118.28267423.72711736.295839165.00.308636...89.48625103.740166.033.5506279.30735112.44426.65633.93240.64752.156
25%13.439592-16.800000-5.9160000112.60000026.724000
50%17.661409-9.4500000.7480000127.19500034.000000
........................Schalke75.018.5708157.8510505.32918012.48142417.54898524.24578637.91908475.0-0.354200...92.40000100.59075.033.4061339.21964115.77627.03032.91239.67853.312
Shakhtar DonetskstdShakhtar Donetsk67.018.8296789.67683117.21383411.3638110.3863337037.7578489.121807
min5.056374-29.820000-42.160000FalseTrue1.26000013.804000
25%12.339711-9.187500-5.3040000113.65000027.370000
50%17.6867637.0350000.4080000177.28000033.320000
75%25.37838518.4800009.0100000190.51000040.970000
max50.63029644.83500023.528000TrueTrue103.53000049.844000
Spartak Moskvacount43.00000043.00000043.000000434343.00000043.00000067.05.248433...90.51000103.53067.033.4945679.12180713.80427.37033.32040.97049.844
meanSpartak Moskva43.017.761703-1.5408141.3584190.1162791140.61058132.489767
std7.48402417.2026708.8740280.324353037.1099868.969001
min3.150000-34.755000-14.824000FalseTrue2.41500012.716000
25%12.750133-13.177500-5.4400000110.18500026.418000
50%17.620498-6.7200002.5840000118.48000031.076000
75%20.83470010.7625008.1600000183.26500041.208000
max36.07143434.65000021.216000TrueTrue101.85000046.308000
Valenciacount64.00000064.00000064.000000646464.00000064.00000043.0-1.540814...83.26500101.85043.032.4897678.96900112.71626.41831.07641.20846.308
meanValencia64.018.6699120.8580470.6534370.21875153.28257832.871625
std7.49760918.1700198.8871390.4166667037.6503708.629260
min7.771786-34.335000-18.360000FalseTrue2.7300007.820000
25%13.374904-12.232500-5.2190000113.41375028.815000
50%16.5589045.722500-0.2380000171.34750032.402000
75%23.49155614.9100007.4120000190.22125037.876000
max37.06899237.06500022.780000TrueTrue100.80000049.096000
Zenitcount61.00000061.00000061.000000616161.00000061.00000064.00.858047...90.22125100.80064.032.8716258.6292607.82028.81532.40237.87649.096
meanZenit61.018.8934580.9277872.0232790.09836066145.54762332.345705
std7.61573217.14790911.0373770.3002731038.0582259.766835
min4.330330-29.085000-16.320000FalseTrue0.00000010.472000
25%13.187103-12.495000-6.2560000111.76000024.616000
50%18.807891-3.2550002.6520000125.83000032.028000
75%24.37059117.95500010.8800000184.21000041.616000
max34.62652129.29500021.828000TrueTrue102.37500050.04800061.00.927787...84.21000102.37561.032.3457059.76683510.47224.61632.02841.61650.048
\n", - "

256 rows × 7 columns

\n", + "

32 rows × 40 columns

\n", "
" ], "text/plain": [ - " dist dx dy goal shot \\\n", - "team \n", - "Ajax count 51.000000 51.000000 51.000000 51 51 \n", - " mean 19.386078 5.252059 1.549333 0.1372549 1 \n", - " std 7.300035 17.674385 9.677748 0.3475404 0 \n", - " min 4.085401 -29.925000 -20.740000 False True \n", - " 25% 13.722455 -9.345000 -6.562000 0 1 \n", - " 50% 20.317035 10.920000 1.904000 0 1 \n", - " 75% 25.228054 17.482500 9.792000 0 1 \n", - " max 33.838975 31.920000 23.596000 True True \n", - "Anderlecht count 37.000000 37.000000 37.000000 37 37 \n", - " mean 18.542860 -0.805946 -0.612000 0.1081081 1 \n", - " std 7.971910 18.087519 9.419616 0.3148001 0 \n", - " min 6.424019 -30.135000 -15.300000 False True \n", - " 25% 12.498227 -15.435000 -7.684000 0 1 \n", - " 50% 16.192901 2.835000 -3.332000 0 1 \n", - " 75% 26.684157 14.280000 4.964000 0 1 \n", - " max 34.941322 25.725000 25.840000 True True \n", - "Arsenal count 37.000000 37.000000 37.000000 37 37 \n", - " mean 15.050964 0.175946 -1.615459 0.2432432 1 \n", - " std 6.232507 12.796247 10.257204 0.4349588 0 \n", - " min 5.273269 -22.575000 -22.168000 False True \n", - " 25% 10.322907 -11.130000 -7.616000 0 1 \n", - " 50% 14.766801 -3.465000 -1.632000 0 1 \n", - " 75% 19.390594 9.975000 3.332000 0 1 \n", - " max 26.889665 22.050000 22.236000 True True \n", - "BATE count 49.000000 49.000000 49.000000 49 49 \n", - " mean 20.173918 -4.735714 1.006122 0.1836735 1 \n", - " std 8.508928 18.299259 11.361216 0.3912304 0 \n", - " min 6.826355 -32.445000 -24.956000 False True \n", - " 25% 13.439592 -16.800000 -5.916000 0 1 \n", - " 50% 17.661409 -9.450000 0.748000 0 1 \n", - "... ... ... ... ... ... \n", - "Shakhtar Donetsk std 9.676831 17.213834 11.363811 0.3863337 0 \n", - " min 5.056374 -29.820000 -42.160000 False True \n", - " 25% 12.339711 -9.187500 -5.304000 0 1 \n", - " 50% 17.686763 7.035000 0.408000 0 1 \n", - " 75% 25.378385 18.480000 9.010000 0 1 \n", - " max 50.630296 44.835000 23.528000 True True \n", - "Spartak Moskva count 43.000000 43.000000 43.000000 43 43 \n", - " mean 17.761703 -1.540814 1.358419 0.1162791 1 \n", - " std 7.484024 17.202670 8.874028 0.324353 0 \n", - " min 3.150000 -34.755000 -14.824000 False True \n", - " 25% 12.750133 -13.177500 -5.440000 0 1 \n", - " 50% 17.620498 -6.720000 2.584000 0 1 \n", - " 75% 20.834700 10.762500 8.160000 0 1 \n", - " max 36.071434 34.650000 21.216000 True True \n", - "Valencia count 64.000000 64.000000 64.000000 64 64 \n", - " mean 18.669912 0.858047 0.653437 0.21875 1 \n", - " std 7.497609 18.170019 8.887139 0.4166667 0 \n", - " min 7.771786 -34.335000 -18.360000 False True \n", - " 25% 13.374904 -12.232500 -5.219000 0 1 \n", - " 50% 16.558904 5.722500 -0.238000 0 1 \n", - " 75% 23.491556 14.910000 7.412000 0 1 \n", - " max 37.068992 37.065000 22.780000 True True \n", - "Zenit count 61.000000 61.000000 61.000000 61 61 \n", - " mean 18.893458 0.927787 2.023279 0.09836066 1 \n", - " std 7.615732 17.147909 11.037377 0.3002731 0 \n", - " min 4.330330 -29.085000 -16.320000 False True \n", - " 25% 13.187103 -12.495000 -6.256000 0 1 \n", - " 50% 18.807891 -3.255000 2.652000 0 1 \n", - " 75% 24.370591 17.955000 10.880000 0 1 \n", - " max 34.626521 29.295000 21.828000 True True \n", + " dist \\\n", + " count mean std min 25% 50% \n", + "team \n", + "Ajax 51.0 19.386078 7.300035 4.085401 13.722455 20.317035 \n", + "Anderlecht 37.0 18.542860 7.971910 6.424019 12.498227 16.192901 \n", + "Arsenal 37.0 15.050964 6.232507 5.273269 10.322907 14.766801 \n", + "BATE 49.0 20.173918 8.508928 6.826355 13.439592 17.661409 \n", + "Barcelona 118.0 17.149734 7.541686 4.261234 10.554698 16.266352 \n", + "Bayern 128.0 17.517833 8.159604 0.000000 11.213396 17.042660 \n", + "Benfica 74.0 19.007116 7.869186 4.922845 12.452546 19.879145 \n", + "Braga 69.0 18.941317 9.082840 3.796599 11.155296 17.709284 \n", + "CFR Cluj 45.0 20.795136 11.522079 4.328055 11.510186 17.054152 \n", + "Celtic 57.0 19.422191 9.324724 2.584000 11.534265 18.101430 \n", + "Chelsea 64.0 16.749424 8.089951 1.840361 10.857455 16.038476 \n", + "Dinamo Zagreb 30.0 19.756942 8.474091 5.698686 11.484111 19.216867 \n", + "Dortmund 138.0 18.099782 7.413309 5.560040 12.214629 16.563488 \n", + "Dynamo Kyiv 50.0 19.943924 8.295395 5.443827 11.806465 20.258975 \n", + "Galatasaray 91.0 19.493112 8.267951 5.661238 12.888909 18.291736 \n", + "Juventus 118.0 18.029021 7.710819 2.176000 12.527100 17.094019 \n", + "LOSC 57.0 20.661852 7.298055 6.001171 14.357041 20.940939 \n", + "Man. City 53.0 16.032345 7.927974 3.527694 11.066026 13.404709 \n", + "Man. United 87.0 15.808515 7.746846 3.964089 9.829987 13.676495 \n", + "Milan 67.0 18.183003 7.807676 2.680616 12.682053 18.175968 \n", + "Montpellier 53.0 23.653237 8.926125 3.465000 16.813756 23.417468 \n", + "Málaga 68.0 17.683059 7.735159 1.289024 11.293821 17.009160 \n", + "Nordsjælland 31.0 20.345961 9.752031 3.992317 12.014537 19.543468 \n", + "Olympiacos 50.0 19.001173 7.989388 4.797256 12.854162 16.977733 \n", + "PSG 106.0 16.955020 6.969359 3.624803 11.366603 16.614551 \n", + "Porto 69.0 18.397419 6.664212 3.752497 14.007318 17.248097 \n", + "Real Madrid 166.0 18.082265 8.231794 0.000000 11.079421 18.282674 \n", + "Schalke 75.0 18.570815 7.851050 5.329180 12.481424 17.548985 \n", + "Shakhtar Donetsk 67.0 18.829678 9.676831 5.056374 12.339711 17.686763 \n", + "Spartak Moskva 43.0 17.761703 7.484024 3.150000 12.750133 17.620498 \n", + "Valencia 64.0 18.669912 7.497609 7.771786 13.374904 16.558904 \n", + "Zenit 61.0 18.893458 7.615732 4.330330 13.187103 18.807891 \n", + "\n", + " dx ... x \\\n", + " 75% max count mean ... 75% \n", + "team ... \n", + "Ajax 25.228054 33.838975 51.0 5.252059 ... 91.14000 \n", + "Anderlecht 26.684157 34.941322 37.0 -0.805946 ... 90.72000 \n", + "Arsenal 19.390594 26.889665 37.0 0.175946 ... 93.97500 \n", + "BATE 27.055201 43.293600 49.0 -4.735714 ... 87.57000 \n", + "Barcelona 22.695007 41.683173 118.0 0.460042 ... 90.82500 \n", + "Bayern 23.029633 44.005908 127.0 2.149606 ... 94.02750 \n", + "Benfica 24.552495 36.973481 74.0 0.151824 ... 86.49375 \n", + "Braga 25.772078 36.081930 69.0 1.387826 ... 89.46000 \n", + "CFR Cluj 28.336787 54.922115 45.0 4.022667 ... 92.92500 \n", + "Celtic 27.348737 48.384144 57.0 0.116053 ... 87.57000 \n", + "Chelsea 21.720067 40.794737 64.0 -1.847344 ... 92.71500 \n", + "Dinamo Zagreb 26.198767 34.638485 30.0 3.027500 ... 92.45250 \n", + "Dortmund 23.208222 41.040176 138.0 -1.273696 ... 86.52000 \n", + "Dynamo Kyiv 27.029103 33.936203 50.0 -2.631300 ... 86.44125 \n", + "Galatasaray 25.817664 39.380871 91.0 -3.062308 ... 82.42500 \n", + "Juventus 23.795291 37.066559 118.0 -0.966356 ... 90.72000 \n", + "LOSC 25.882962 38.957090 57.0 -1.980263 ... 81.79500 \n", + "Man. City 20.083812 45.980092 53.0 0.800377 ... 94.60500 \n", + "Man. United 20.909913 34.955116 87.0 -0.797759 ... 93.45000 \n", + "Milan 24.272487 34.098123 67.0 -2.004403 ... 88.56750 \n", + "Montpellier 29.249926 41.844881 53.0 5.511509 ... 86.31000 \n", + "Málaga 22.221774 37.327943 68.0 0.421544 ... 89.85375 \n", + "Nordsjælland 29.405007 35.700079 31.0 -3.309194 ... 77.80500 \n", + "Olympiacos 26.001416 35.325450 50.0 -1.625400 ... 91.24500 \n", + "PSG 21.984564 36.370648 106.0 0.848915 ... 93.00375 \n", + "Porto 23.537782 35.180567 69.0 0.031957 ... 92.19000 \n", + "Real Madrid 23.727117 36.295839 165.0 0.308636 ... 89.48625 \n", + "Schalke 24.245786 37.919084 75.0 -0.354200 ... 92.40000 \n", + "Shakhtar Donetsk 25.378385 50.630296 67.0 5.248433 ... 90.51000 \n", + "Spartak Moskva 20.834700 36.071434 43.0 -1.540814 ... 83.26500 \n", + "Valencia 23.491556 37.068992 64.0 0.858047 ... 90.22125 \n", + "Zenit 24.370591 34.626521 61.0 0.927787 ... 84.21000 \n", "\n", - " x y \n", - "team \n", - "Ajax count 51.000000 51.000000 \n", - " mean 66.806765 32.582667 \n", - " std 33.954057 9.684273 \n", - " min 0.210000 14.484000 \n", - " 25% 26.250000 24.956000 \n", - " 50% 85.050000 31.076000 \n", - " 75% 91.140000 41.038000 \n", - " max 100.800000 55.964000 \n", - "Anderlecht count 37.000000 37.000000 \n", - " mean 54.724865 34.713081 \n", - " std 37.898066 9.527022 \n", - " min 3.885000 11.900000 \n", - " 25% 19.635000 26.996000 \n", - " 50% 79.275000 35.156000 \n", - " 75% 90.720000 43.316000 \n", - " max 102.165000 48.892000 \n", - "Arsenal count 37.000000 37.000000 \n", - " mean 50.905135 34.918919 \n", - " std 41.708201 9.601529 \n", - " min 3.465000 9.588000 \n", - " 25% 11.130000 26.452000 \n", - " 50% 22.575000 34.884000 \n", - " 75% 93.975000 41.752000 \n", - " max 99.960000 51.748000 \n", - "BATE count 49.000000 49.000000 \n", - " mean 45.450000 33.229796 \n", - " std 36.444612 11.015689 \n", - " min 5.040000 8.228000 \n", - " 25% 12.600000 26.724000 \n", - " 50% 27.195000 34.000000 \n", - "... ... ... \n", - "Shakhtar Donetsk std 37.757848 9.121807 \n", - " min 1.260000 13.804000 \n", - " 25% 13.650000 27.370000 \n", - " 50% 77.280000 33.320000 \n", - " 75% 90.510000 40.970000 \n", - " max 103.530000 49.844000 \n", - "Spartak Moskva count 43.000000 43.000000 \n", - " mean 40.610581 32.489767 \n", - " std 37.109986 8.969001 \n", - " min 2.415000 12.716000 \n", - " 25% 10.185000 26.418000 \n", - " 50% 18.480000 31.076000 \n", - " 75% 83.265000 41.208000 \n", - " max 101.850000 46.308000 \n", - "Valencia count 64.000000 64.000000 \n", - " mean 53.282578 32.871625 \n", - " std 37.650370 8.629260 \n", - " min 2.730000 7.820000 \n", - " 25% 13.413750 28.815000 \n", - " 50% 71.347500 32.402000 \n", - " 75% 90.221250 37.876000 \n", - " max 100.800000 49.096000 \n", - "Zenit count 61.000000 61.000000 \n", - " mean 45.547623 32.345705 \n", - " std 38.058225 9.766835 \n", - " min 0.000000 10.472000 \n", - " 25% 11.760000 24.616000 \n", - " 50% 25.830000 32.028000 \n", - " 75% 84.210000 41.616000 \n", - " max 102.375000 50.048000 \n", + " y \\\n", + " max count mean std min 25% \n", + "team \n", + "Ajax 100.800 51.0 32.582667 9.684273 14.484 24.956 \n", + "Anderlecht 102.165 37.0 34.713081 9.527022 11.900 26.996 \n", + "Arsenal 99.960 37.0 34.918919 9.601529 9.588 26.452 \n", + "BATE 98.490 49.0 33.229796 11.015689 8.228 26.724 \n", + "Barcelona 100.275 118.0 34.578000 8.960725 8.024 27.472 \n", + "Bayern 105.000 128.0 31.812313 9.023347 12.580 24.956 \n", + "Benfica 101.640 74.0 32.155730 8.577317 15.368 24.888 \n", + "Braga 102.060 69.0 33.602841 10.229242 6.936 26.452 \n", + "CFR Cluj 101.220 45.0 32.502489 7.570459 19.176 26.656 \n", + "Celtic 105.000 57.0 31.062877 8.812781 12.036 25.092 \n", + "Chelsea 103.425 64.0 32.205438 8.474091 10.336 26.061 \n", + "Dinamo Zagreb 103.635 30.0 33.646400 8.581043 20.536 27.897 \n", + "Dortmund 102.690 138.0 33.209623 9.752949 2.856 26.163 \n", + "Dynamo Kyiv 100.695 50.0 31.062400 10.709127 7.548 24.446 \n", + "Galatasaray 99.120 91.0 33.086857 8.530236 17.612 26.316 \n", + "Juventus 104.370 118.0 32.447525 8.442428 16.184 26.010 \n", + "LOSC 97.335 57.0 32.644772 9.257369 14.892 25.296 \n", + "Man. City 102.795 53.0 34.347698 8.386569 16.796 28.288 \n", + "Man. United 102.900 87.0 33.841333 9.083352 10.540 27.506 \n", + "Milan 102.690 67.0 34.993612 10.298427 10.268 27.132 \n", + "Montpellier 101.535 53.0 33.911472 11.326532 13.124 24.684 \n", + "Málaga 103.740 68.0 33.928000 8.484058 6.460 28.339 \n", + "Nordsjælland 101.010 31.0 34.772129 8.287273 18.564 29.988 \n", + "Olympiacos 100.380 50.0 32.796400 9.038476 15.028 24.990 \n", + "PSG 105.000 106.0 31.659774 8.724961 17.068 25.415 \n", + "Porto 101.850 69.0 35.212174 8.292901 13.736 29.172 \n", + "Real Madrid 103.740 166.0 33.550627 9.307351 12.444 26.656 \n", + "Schalke 100.590 75.0 33.406133 9.219641 15.776 27.030 \n", + "Shakhtar Donetsk 103.530 67.0 33.494567 9.121807 13.804 27.370 \n", + "Spartak Moskva 101.850 43.0 32.489767 8.969001 12.716 26.418 \n", + "Valencia 100.800 64.0 32.871625 8.629260 7.820 28.815 \n", + "Zenit 102.375 61.0 32.345705 9.766835 10.472 24.616 \n", "\n", - "[256 rows x 7 columns]" + " \n", + " 50% 75% max \n", + "team \n", + "Ajax 31.076 41.038 55.964 \n", + "Anderlecht 35.156 43.316 48.892 \n", + "Arsenal 34.884 41.752 51.748 \n", + "BATE 34.000 41.616 58.820 \n", + "Barcelona 35.020 41.667 56.168 \n", + "Bayern 31.008 37.910 55.896 \n", + "Benfica 32.606 37.519 51.476 \n", + "Braga 34.000 41.888 59.160 \n", + "CFR Cluj 32.368 38.760 53.244 \n", + "Celtic 31.824 34.612 53.244 \n", + "Chelsea 31.484 38.981 47.804 \n", + "Dinamo Zagreb 32.708 38.522 49.368 \n", + "Dortmund 33.490 39.950 61.200 \n", + "Dynamo Kyiv 30.804 37.536 63.444 \n", + "Galatasaray 33.116 40.562 52.836 \n", + "Juventus 30.906 38.284 52.904 \n", + "LOSC 33.592 39.168 49.640 \n", + "Man. City 34.000 40.528 61.064 \n", + "Man. United 35.496 39.780 50.320 \n", + "Milan 35.700 43.010 53.244 \n", + "Montpellier 34.000 41.072 61.404 \n", + "Málaga 34.000 40.324 50.728 \n", + "Nordsjælland 33.660 40.596 49.436 \n", + "Olympiacos 34.952 39.627 52.360 \n", + "PSG 30.192 38.284 53.312 \n", + "Porto 34.884 42.432 49.504 \n", + "Real Madrid 33.932 40.647 52.156 \n", + "Schalke 32.912 39.678 53.312 \n", + "Shakhtar Donetsk 33.320 40.970 49.844 \n", + "Spartak Moskva 31.076 41.208 46.308 \n", + "Valencia 32.402 37.876 49.096 \n", + "Zenit 32.028 41.616 50.048 \n", + "\n", + "[32 rows x 40 columns]" ] }, - "execution_count": 78, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -2481,10 +2666,8 @@ }, { "cell_type": "code", - "execution_count": 79, - "metadata": { - "collapsed": false - }, + "execution_count": 44, + "metadata": {}, "outputs": [ { "data": { @@ -2551,10 +2734,10 @@ " True 13.886594\n", "Zenit False 19.820624\n", " True 10.394430\n", - "Name: dist, dtype: float64" + "Name: dist, Length: 64, dtype: float64" ] }, - "execution_count": 79, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } @@ -2581,15 +2764,26 @@ }, { "cell_type": "code", - "execution_count": 86, - "metadata": { - "collapsed": false - }, + "execution_count": 45, + "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
\n", + "
\n", + "\n", "\n", " \n", " \n", @@ -2810,7 +3004,7 @@ "Zenit 19.820624 10.394430" ] }, - "execution_count": 86, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -2820,35 +3014,6 @@ "pt1" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "pt1 = pd.pivot_tabl" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "metadata": {}, @@ -2858,26 +3023,24 @@ }, { "cell_type": "code", - "execution_count": 87, - "metadata": { - "collapsed": false - }, + "execution_count": 46, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 87, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvYAAAHRCAYAAAABoP0zAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvUAAAG5CAYAAAAOMMsHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSUVORK5CYII=\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -2897,10 +3060,8 @@ }, { "cell_type": "code", - "execution_count": 88, - "metadata": { - "collapsed": false - }, + "execution_count": 47, + "metadata": {}, "outputs": [ { "data": { @@ -2908,7 +3069,7 @@ "False" ] }, - "execution_count": 88, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -2926,65 +3087,548 @@ }, { "cell_type": "code", - "execution_count": 89, - "metadata": { - "collapsed": false - }, + "execution_count": 48, + "metadata": {}, "outputs": [ { "ename": "KeyError", "evalue": "'Barcelona'", "output_type": "error", "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mpt1\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'Barcelona'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[1;32m/home/tin/.virtualenvs/curso/lib/python3.4/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 1783\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_frame\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1784\u001b[0m \u001b[1;32melif\u001b[0m \u001b[0mis_mi_columns\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1785\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1786\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1787\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_column\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m/home/tin/.virtualenvs/curso/lib/python3.4/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m_getitem_multilevel\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 1827\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1828\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_getitem_multilevel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1829\u001b[1;33m \u001b[0mloc\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1830\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mloc\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mslice\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mSeries\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mIndex\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1831\u001b[0m \u001b[0mnew_columns\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mloc\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m/home/tin/.virtualenvs/curso/lib/python3.4/site-packages/pandas/core/index.py\u001b[0m in \u001b[0;36mget_loc\u001b[1;34m(self, key, method)\u001b[0m\n\u001b[0;32m 4269\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4270\u001b[0m \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtuple\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 4271\u001b[1;33m \u001b[0mloc\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_level_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 4272\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0m_maybe_to_slice\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mloc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4273\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m/home/tin/.virtualenvs/curso/lib/python3.4/site-packages/pandas/core/index.py\u001b[0m in \u001b[0;36m_get_level_indexer\u001b[1;34m(self, key, level)\u001b[0m\n\u001b[0;32m 4505\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4506\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 4507\u001b[1;33m \u001b[0mloc\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlevel_index\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 4508\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mlevel\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m0\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlexsort_depth\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4509\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0marray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlabels\u001b[0m \u001b[1;33m==\u001b[0m \u001b[0mloc\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mbool\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m/home/tin/.virtualenvs/curso/lib/python3.4/site-packages/pandas/core/index.py\u001b[0m in \u001b[0;36mget_loc\u001b[1;34m(self, key, method)\u001b[0m\n\u001b[0;32m 1435\u001b[0m \"\"\"\n\u001b[0;32m 1436\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mmethod\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1437\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_values_from_object\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1438\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1439\u001b[0m \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_indexer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mpandas/index.pyx\u001b[0m in \u001b[0;36mpandas.index.IndexEngine.get_loc (pandas/index.c:3824)\u001b[1;34m()\u001b[0m\n", - "\u001b[1;32mpandas/index.pyx\u001b[0m in \u001b[0;36mpandas.index.IndexEngine.get_loc (pandas/index.c:3704)\u001b[1;34m()\u001b[0m\n", - "\u001b[1;32mpandas/hashtable.pyx\u001b[0m in \u001b[0;36mpandas.hashtable.PyObjectHashTable.get_item (pandas/hashtable.c:12349)\u001b[1;34m()\u001b[0m\n", - "\u001b[1;32mpandas/hashtable.pyx\u001b[0m in \u001b[0;36mpandas.hashtable.PyObjectHashTable.get_item (pandas/hashtable.c:12300)\u001b[1;34m()\u001b[0m\n", - "\u001b[1;31mKeyError\u001b[0m: 'Barcelona'" + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m~/.virtualenvs/curso/lib/python3.6/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m 2441\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2442\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2443\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc (pandas/_libs/index.c:5280)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc (pandas/_libs/index.c:5126)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item (pandas/_libs/hashtable.c:20523)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item (pandas/_libs/hashtable.c:20477)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mKeyError\u001b[0m: 'Barcelona'", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mpt1\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Barcelona'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m~/.virtualenvs/curso/lib/python3.6/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 1960\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_frame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1961\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0mis_mi_columns\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1962\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1963\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1964\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_column\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/.virtualenvs/curso/lib/python3.6/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m_getitem_multilevel\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 2004\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2005\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_getitem_multilevel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2006\u001b[0;31m \u001b[0mloc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2007\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mslice\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mSeries\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mIndex\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2008\u001b[0m \u001b[0mnew_columns\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/.virtualenvs/curso/lib/python3.6/site-packages/pandas/core/indexes/multi.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method)\u001b[0m\n\u001b[1;32m 1974\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1975\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1976\u001b[0;31m \u001b[0mloc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_level_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1977\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0m_maybe_to_slice\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1978\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/.virtualenvs/curso/lib/python3.6/site-packages/pandas/core/indexes/multi.py\u001b[0m in \u001b[0;36m_get_level_indexer\u001b[0;34m(self, key, level, indexer)\u001b[0m\n\u001b[1;32m 2237\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2238\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2239\u001b[0;31m \u001b[0mloc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlevel_index\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2240\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mslice\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2241\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mloc\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/.virtualenvs/curso/lib/python3.6/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m 2442\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2443\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2444\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_maybe_cast_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2445\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2446\u001b[0m \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtolerance\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtolerance\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc (pandas/_libs/index.c:5280)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc (pandas/_libs/index.c:5126)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item (pandas/_libs/hashtable.c:20523)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item (pandas/_libs/hashtable.c:20477)\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mKeyError\u001b[0m: 'Barcelona'" ] } ], "source": [ - "pt1['Barcelona']" + "pt1['Barcelona']" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "
\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
dist
goalFalseTrue
teamplayer
AjaxChristian Eriksen22.91786920.386337
Daley Blind17.560331NaN
Daniel Hoesen11.15328621.340401
Derk Boerrigter21.10190118.931250
Jody Lukoki22.134413NaN
Lasse Schøne25.664372NaN
Niklas Moisander8.95173710.126408
Ricardo van Rhijn18.820696NaN
Ryan Babel21.957276NaN
Siem de Jong22.2468046.809526
Tobias Sana16.238031NaN
Viktor Fischer18.146298NaN
AnderlechtCheikhou Kouyaté30.318649NaN
Dennis Praet21.446210NaN
Dieudonné Mbokani19.76426314.005145
Guillaume Gillet13.908516NaN
Kanu22.545872NaN
Lucas Biglia19.917420NaN
Marcin Wasilewski9.912763NaN
Massimo Bruno14.733733NaN
Milan Jovanović20.43168718.088162
Olexandr Yakovenko22.839317NaN
Olivier Deschacht9.851069NaN
Sacha Kljestan26.612876NaN
Tom De Sutter14.0623806.424019
ArsenalAaron Ramsey24.90011712.822007
Alex Oxlade-Chamberlain21.432514NaN
Andrey Arshavin15.469432NaN
Gervinho12.9835765.273269
Jack WilshereNaN7.715528
............
Spartak MoskvaKirill Kombarov36.071434NaN
Marek Suchý13.783557NaN
Nicolas Pareja17.857045NaN
Rafael CariocaNaN10.620419
Romulo20.31639414.135129
Welliton18.092743NaN
ValenciaAdil Rami16.90176011.655198
Andrés Guardado18.027033NaN
Daniel Parejo34.346378NaN
David Albelda37.068992NaN
Fernando Gago24.625403NaN
Jonas18.06814116.828963
Nelson Valdez13.9768459.071122
Ricardo Costa8.402404NaN
Roberto Soldado15.85444611.219796
Sofiane Feghouli18.23332214.887335
Tino Costa28.166059NaN
Éver Banega18.927973NaN
ZenitAleksandr Kerzhakov18.12906611.478895
Axel Witsel20.134777NaN
Danny12.4165049.025218
Domenico Criscito30.378758NaN
Hulk23.1624419.308568
Igor Denisov20.440771NaN
Nicolas Lombaerts9.647090NaN
Roman Shirokov19.3961457.225680
Sergei Semak21.584877NaN
Tomáš Hubočan12.783965NaN
Viktor Fayzulin28.37978916.303000
Vladimir Bystrov20.214203NaN
\n", + "

468 rows × 2 columns

\n", + "
" + ], + "text/plain": [ + " dist \n", + "goal False True \n", + "team player \n", + "Ajax Christian Eriksen 22.917869 20.386337\n", + " Daley Blind 17.560331 NaN\n", + " Daniel Hoesen 11.153286 21.340401\n", + " Derk Boerrigter 21.101901 18.931250\n", + " Jody Lukoki 22.134413 NaN\n", + " Lasse Schøne 25.664372 NaN\n", + " Niklas Moisander 8.951737 10.126408\n", + " Ricardo van Rhijn 18.820696 NaN\n", + " Ryan Babel 21.957276 NaN\n", + " Siem de Jong 22.246804 6.809526\n", + " Tobias Sana 16.238031 NaN\n", + " Viktor Fischer 18.146298 NaN\n", + "Anderlecht Cheikhou Kouyaté 30.318649 NaN\n", + " Dennis Praet 21.446210 NaN\n", + " Dieudonné Mbokani 19.764263 14.005145\n", + " Guillaume Gillet 13.908516 NaN\n", + " Kanu 22.545872 NaN\n", + " Lucas Biglia 19.917420 NaN\n", + " Marcin Wasilewski 9.912763 NaN\n", + " Massimo Bruno 14.733733 NaN\n", + " Milan Jovanović 20.431687 18.088162\n", + " Olexandr Yakovenko 22.839317 NaN\n", + " Olivier Deschacht 9.851069 NaN\n", + " Sacha Kljestan 26.612876 NaN\n", + " Tom De Sutter 14.062380 6.424019\n", + "Arsenal Aaron Ramsey 24.900117 12.822007\n", + " Alex Oxlade-Chamberlain 21.432514 NaN\n", + " Andrey Arshavin 15.469432 NaN\n", + " Gervinho 12.983576 5.273269\n", + " Jack Wilshere NaN 7.715528\n", + "... ... ...\n", + "Spartak Moskva Kirill Kombarov 36.071434 NaN\n", + " Marek Suchý 13.783557 NaN\n", + " Nicolas Pareja 17.857045 NaN\n", + " Rafael Carioca NaN 10.620419\n", + " Romulo 20.316394 14.135129\n", + " Welliton 18.092743 NaN\n", + "Valencia Adil Rami 16.901760 11.655198\n", + " Andrés Guardado 18.027033 NaN\n", + " Daniel Parejo 34.346378 NaN\n", + " David Albelda 37.068992 NaN\n", + " Fernando Gago 24.625403 NaN\n", + " Jonas 18.068141 16.828963\n", + " Nelson Valdez 13.976845 9.071122\n", + " Ricardo Costa 8.402404 NaN\n", + " Roberto Soldado 15.854446 11.219796\n", + " Sofiane Feghouli 18.233322 14.887335\n", + " Tino Costa 28.166059 NaN\n", + " Éver Banega 18.927973 NaN\n", + "Zenit Aleksandr Kerzhakov 18.129066 11.478895\n", + " Axel Witsel 20.134777 NaN\n", + " Danny 12.416504 9.025218\n", + " Domenico Criscito 30.378758 NaN\n", + " Hulk 23.162441 9.308568\n", + " Igor Denisov 20.440771 NaN\n", + " Nicolas Lombaerts 9.647090 NaN\n", + " Roman Shirokov 19.396145 7.225680\n", + " Sergei Semak 21.584877 NaN\n", + " Tomáš Hubočan 12.783965 NaN\n", + " Viktor Fayzulin 28.379789 16.303000\n", + " Vladimir Bystrov 20.214203 NaN\n", + "\n", + "[468 rows x 2 columns]" + ] + }, + "execution_count": 92, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pt2 = pd.pivot_table(shots, index=['team', 'player'], columns=['goal'], values=['dist'])\n", + "pt2" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + " goal \n", + "dist False 17.686370\n", + " True 13.163291\n", + "Name: Barcelona, dtype: float64" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pt1.loc['Barcelona']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Las tablas pivoteantes son mucho más poderosas" ] }, { "cell_type": "code", - "execution_count": 92, - "metadata": { - "collapsed": false - }, + "execution_count": 52, + "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
\n", + "
\n", + "\n", "\n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -2993,443 +3637,701 @@ " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
distxy
goalFalseTrueFalseTrueFalseTrue
teamplayer
Christian Eriksen22.91786920.38633763.00000084.630030.01350033.524
Daley Blind17.560331NaN92.610000NaN16.796000NaN
Daniel Hoesen11.15328621.34040195.91750092.190035.44500019.856
Derk Boerrigter21.10190118.93125065.55500087.255034.79333339.780
Jody Lukoki22.134413NaN85.050000NaN42.432000NaN
Lasse Schøne25.664372NaN56.017500NaN26.384000NaN
Niklas Moisander8.95173710.1264087.66500097.912533.32000040.732
Ricardo van Rhijn18.820696NaN49.350000NaN30.328000NaN
Ryan Babel21.957276NaN77.542500NaN29.070000NaN
Siem de Jong22.2468046.80952657.2440911.890035.08800035.462
Tobias Sana16.238031NaN89.040000NaN38.420000NaN
Viktor Fischer18.146298NaN69.772500NaN31.280000NaN
AnderlechtCheikhou Kouyaté30.318649NaN30.135000NaN33.252000NaN
Dennis Praet21.446210NaN21.000000NaN25.160000NaN
Dieudonné Mbokani19.76426314.00514562.96500092.872528.58266736.652
Guillaume Gillet13.908516NaN56.448000NaN35.400800NaN
Kanu22.545872NaN57.162000NaN39.997600NaN
Lucas Biglia19.917420NaN65.887500NaN44.846000NaN
Marcin Wasilewski9.912763NaN6.352500NaN29.478000NaN
Massimo Bruno14.733733NaN94.500000NaN48.892000NaN
Milan Jovanović20.43168718.08816257.94500090.300032.51371425.840
Olexandr Yakovenko22.839317NaN21.420000NaN37.740000NaN
Olivier Deschacht9.851069NaN97.335000NaN23.052000NaN
Sacha Kljestan26.612876NaN22.627500NaN34.544000NaN
Tom De Sutter14.0623806.42401911.86500098.805036.92400034.408
ArsenalAaron Ramsey24.90011712.82200711.34000011.340051.74800041.752
Alex Oxlade-Chamberlain21.432514NaN84.000000NaN38.488000NaN
Andrey Arshavin15.469432NaN94.290000NaN33.864000NaN
Gervinho12.9835765.27326954.39000099.855035.97200034.612
Jack WilshereNaN7.715528NaN7.1400NaN31.008
........................
Spartak MoskvaKirill Kombarov36.071434NaN34.755000NaN27.268000NaN
Marek Suchý13.783557NaN9.345000NaN25.500000NaN
Nicolas Pareja17.857045NaN16.380000NaN31.076000NaN
Rafael CariocaNaN10.620419NaN9.2400NaN42.364
Romulo20.31639414.13512984.84000099.750037.46800045.220
Welliton18.092743NaN86.940000NaN33.320000NaN
ValenciaAdil Rami16.90176011.65519849.08750011.655028.76400035.360
Andrés Guardado18.027033NaN63.147000NaN33.374400NaN
Daniel Parejo34.346378NaN34.335000NaN34.952000NaN
David Albelda37.068992NaN67.935000NaN32.164000NaN
Fernando Gago24.625403NaN80.377500NaN29.172000NaN
Jonas18.06814116.82896382.38562544.016036.22700028.084
Nelson Valdez13.9768459.0711228.2250007.455043.79200031.280
Ricardo Costa8.402404NaN7.455000NaN33.524000NaN
Roberto Soldado15.85444611.21979652.95500073.815035.04266736.159
Sofiane Feghouli18.23332214.88733563.73500013.755033.48150027.608
Tino Costa28.166059NaN43.715000NaN27.645778NaN
Éver Banega18.927973NaN86.310000NaN32.640000NaN
ZenitAleksandr Kerzhakov18.12906611.47889537.66636493.975027.02690934.000
Axel Witsel20.134777NaN86.485000NaN36.606667NaN
Danny12.4165049.02521831.3250008.137535.15600040.596
Domenico Criscito30.378758NaN76.020000NaN23.256000NaN
Hulk23.1624419.30856840.4059097.350033.33854541.616
Igor Denisov20.440771NaN84.840000NaN34.000000NaN
Nicolas Lombaerts9.647090NaN54.862500NaN33.660000NaN
Roman Shirokov19.3961457.22568050.855000102.375037.94400027.676
Sergei Semak21.584877NaN33.731250NaN33.592000NaN
Tomáš Hubočan12.783965NaN34.685000NaN27.744000NaN
Viktor Fayzulin28.37978916.30300065.69500012.495022.84800041.004
Vladimir Bystrov20.214203NaN30.450000NaN32.381600NaN
\n", - "

468 rows × 2 columns

\n", + "

468 rows × 6 columns

\n", "
" ], "text/plain": [ - " dist \n", - "goal False True \n", - "team player \n", - "Ajax Christian Eriksen 22.917869 20.386337\n", - " Daley Blind 17.560331 NaN\n", - " Daniel Hoesen 11.153286 21.340401\n", - " Derk Boerrigter 21.101901 18.931250\n", - " Jody Lukoki 22.134413 NaN\n", - " Lasse Schøne 25.664372 NaN\n", - " Niklas Moisander 8.951737 10.126408\n", - " Ricardo van Rhijn 18.820696 NaN\n", - " Ryan Babel 21.957276 NaN\n", - " Siem de Jong 22.246804 6.809526\n", - " Tobias Sana 16.238031 NaN\n", - " Viktor Fischer 18.146298 NaN\n", - "Anderlecht Cheikhou Kouyaté 30.318649 NaN\n", - " Dennis Praet 21.446210 NaN\n", - " Dieudonné Mbokani 19.764263 14.005145\n", - " Guillaume Gillet 13.908516 NaN\n", - " Kanu 22.545872 NaN\n", - " Lucas Biglia 19.917420 NaN\n", - " Marcin Wasilewski 9.912763 NaN\n", - " Massimo Bruno 14.733733 NaN\n", - " Milan Jovanović 20.431687 18.088162\n", - " Olexandr Yakovenko 22.839317 NaN\n", - " Olivier Deschacht 9.851069 NaN\n", - " Sacha Kljestan 26.612876 NaN\n", - " Tom De Sutter 14.062380 6.424019\n", - "Arsenal Aaron Ramsey 24.900117 12.822007\n", - " Alex Oxlade-Chamberlain 21.432514 NaN\n", - " Andrey Arshavin 15.469432 NaN\n", - " Gervinho 12.983576 5.273269\n", - " Jack Wilshere NaN 7.715528\n", - "... ... ...\n", - "Spartak Moskva Kirill Kombarov 36.071434 NaN\n", - " Marek Suchý 13.783557 NaN\n", - " Nicolas Pareja 17.857045 NaN\n", - " Rafael Carioca NaN 10.620419\n", - " Romulo 20.316394 14.135129\n", - " Welliton 18.092743 NaN\n", - "Valencia Adil Rami 16.901760 11.655198\n", - " Andrés Guardado 18.027033 NaN\n", - " Daniel Parejo 34.346378 NaN\n", - " David Albelda 37.068992 NaN\n", - " Fernando Gago 24.625403 NaN\n", - " Jonas 18.068141 16.828963\n", - " Nelson Valdez 13.976845 9.071122\n", - " Ricardo Costa 8.402404 NaN\n", - " Roberto Soldado 15.854446 11.219796\n", - " Sofiane Feghouli 18.233322 14.887335\n", - " Tino Costa 28.166059 NaN\n", - " Éver Banega 18.927973 NaN\n", - "Zenit Aleksandr Kerzhakov 18.129066 11.478895\n", - " Axel Witsel 20.134777 NaN\n", - " Danny 12.416504 9.025218\n", - " Domenico Criscito 30.378758 NaN\n", - " Hulk 23.162441 9.308568\n", - " Igor Denisov 20.440771 NaN\n", - " Nicolas Lombaerts 9.647090 NaN\n", - " Roman Shirokov 19.396145 7.225680\n", - " Sergei Semak 21.584877 NaN\n", - " Tomáš Hubočan 12.783965 NaN\n", - " Viktor Fayzulin 28.379789 16.303000\n", - " Vladimir Bystrov 20.214203 NaN\n", + " dist x \\\n", + "goal False True False \n", + "team player \n", + "Ajax Christian Eriksen 22.917869 20.386337 63.000000 \n", + " Daley Blind 17.560331 NaN 92.610000 \n", + " Daniel Hoesen 11.153286 21.340401 95.917500 \n", + " Derk Boerrigter 21.101901 18.931250 65.555000 \n", + " Jody Lukoki 22.134413 NaN 85.050000 \n", + " Lasse Schøne 25.664372 NaN 56.017500 \n", + " Niklas Moisander 8.951737 10.126408 7.665000 \n", + " Ricardo van Rhijn 18.820696 NaN 49.350000 \n", + " Ryan Babel 21.957276 NaN 77.542500 \n", + " Siem de Jong 22.246804 6.809526 57.244091 \n", + " Tobias Sana 16.238031 NaN 89.040000 \n", + " Viktor Fischer 18.146298 NaN 69.772500 \n", + "Anderlecht Cheikhou Kouyaté 30.318649 NaN 30.135000 \n", + " Dennis Praet 21.446210 NaN 21.000000 \n", + " Dieudonné Mbokani 19.764263 14.005145 62.965000 \n", + " Guillaume Gillet 13.908516 NaN 56.448000 \n", + " Kanu 22.545872 NaN 57.162000 \n", + " Lucas Biglia 19.917420 NaN 65.887500 \n", + " Marcin Wasilewski 9.912763 NaN 6.352500 \n", + " Massimo Bruno 14.733733 NaN 94.500000 \n", + " Milan Jovanović 20.431687 18.088162 57.945000 \n", + " Olexandr Yakovenko 22.839317 NaN 21.420000 \n", + " Olivier Deschacht 9.851069 NaN 97.335000 \n", + " Sacha Kljestan 26.612876 NaN 22.627500 \n", + " Tom De Sutter 14.062380 6.424019 11.865000 \n", + "Arsenal Aaron Ramsey 24.900117 12.822007 11.340000 \n", + " Alex Oxlade-Chamberlain 21.432514 NaN 84.000000 \n", + " Andrey Arshavin 15.469432 NaN 94.290000 \n", + " Gervinho 12.983576 5.273269 54.390000 \n", + " Jack Wilshere NaN 7.715528 NaN \n", + "... ... ... ... \n", + "Spartak Moskva Kirill Kombarov 36.071434 NaN 34.755000 \n", + " Marek Suchý 13.783557 NaN 9.345000 \n", + " Nicolas Pareja 17.857045 NaN 16.380000 \n", + " Rafael Carioca NaN 10.620419 NaN \n", + " Romulo 20.316394 14.135129 84.840000 \n", + " Welliton 18.092743 NaN 86.940000 \n", + "Valencia Adil Rami 16.901760 11.655198 49.087500 \n", + " Andrés Guardado 18.027033 NaN 63.147000 \n", + " Daniel Parejo 34.346378 NaN 34.335000 \n", + " David Albelda 37.068992 NaN 67.935000 \n", + " Fernando Gago 24.625403 NaN 80.377500 \n", + " Jonas 18.068141 16.828963 82.385625 \n", + " Nelson Valdez 13.976845 9.071122 8.225000 \n", + " Ricardo Costa 8.402404 NaN 7.455000 \n", + " Roberto Soldado 15.854446 11.219796 52.955000 \n", + " Sofiane Feghouli 18.233322 14.887335 63.735000 \n", + " Tino Costa 28.166059 NaN 43.715000 \n", + " Éver Banega 18.927973 NaN 86.310000 \n", + "Zenit Aleksandr Kerzhakov 18.129066 11.478895 37.666364 \n", + " Axel Witsel 20.134777 NaN 86.485000 \n", + " Danny 12.416504 9.025218 31.325000 \n", + " Domenico Criscito 30.378758 NaN 76.020000 \n", + " Hulk 23.162441 9.308568 40.405909 \n", + " Igor Denisov 20.440771 NaN 84.840000 \n", + " Nicolas Lombaerts 9.647090 NaN 54.862500 \n", + " Roman Shirokov 19.396145 7.225680 50.855000 \n", + " Sergei Semak 21.584877 NaN 33.731250 \n", + " Tomáš Hubočan 12.783965 NaN 34.685000 \n", + " Viktor Fayzulin 28.379789 16.303000 65.695000 \n", + " Vladimir Bystrov 20.214203 NaN 30.450000 \n", "\n", - "[468 rows x 2 columns]" - ] - }, - "execution_count": 92, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pt2 = pd.pivot_table(shots, index=['team', 'player'], columns=['goal'], values=['dist'])\n", - "pt2" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Pero esto sí" - ] - }, - { - "cell_type": "code", - "execution_count": 93, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - " goal \n", - "dist False 17.686370\n", - " True 13.163291\n", - "Name: Barcelona, dtype: float64" + " y \n", + "goal True False True \n", + "team player \n", + "Ajax Christian Eriksen 84.6300 30.013500 33.524 \n", + " Daley Blind NaN 16.796000 NaN \n", + " Daniel Hoesen 92.1900 35.445000 19.856 \n", + " Derk Boerrigter 87.2550 34.793333 39.780 \n", + " Jody Lukoki NaN 42.432000 NaN \n", + " Lasse Schøne NaN 26.384000 NaN \n", + " Niklas Moisander 97.9125 33.320000 40.732 \n", + " Ricardo van Rhijn NaN 30.328000 NaN \n", + " Ryan Babel NaN 29.070000 NaN \n", + " Siem de Jong 1.8900 35.088000 35.462 \n", + " Tobias Sana NaN 38.420000 NaN \n", + " Viktor Fischer NaN 31.280000 NaN \n", + "Anderlecht Cheikhou Kouyaté NaN 33.252000 NaN \n", + " Dennis Praet NaN 25.160000 NaN \n", + " Dieudonné Mbokani 92.8725 28.582667 36.652 \n", + " Guillaume Gillet NaN 35.400800 NaN \n", + " Kanu NaN 39.997600 NaN \n", + " Lucas Biglia NaN 44.846000 NaN \n", + " Marcin Wasilewski NaN 29.478000 NaN \n", + " Massimo Bruno NaN 48.892000 NaN \n", + " Milan Jovanović 90.3000 32.513714 25.840 \n", + " Olexandr Yakovenko NaN 37.740000 NaN \n", + " Olivier Deschacht NaN 23.052000 NaN \n", + " Sacha Kljestan NaN 34.544000 NaN \n", + " Tom De Sutter 98.8050 36.924000 34.408 \n", + "Arsenal Aaron Ramsey 11.3400 51.748000 41.752 \n", + " Alex Oxlade-Chamberlain NaN 38.488000 NaN \n", + " Andrey Arshavin NaN 33.864000 NaN \n", + " Gervinho 99.8550 35.972000 34.612 \n", + " Jack Wilshere 7.1400 NaN 31.008 \n", + "... ... ... ... \n", + "Spartak Moskva Kirill Kombarov NaN 27.268000 NaN \n", + " Marek Suchý NaN 25.500000 NaN \n", + " Nicolas Pareja NaN 31.076000 NaN \n", + " Rafael Carioca 9.2400 NaN 42.364 \n", + " Romulo 99.7500 37.468000 45.220 \n", + " Welliton NaN 33.320000 NaN \n", + "Valencia Adil Rami 11.6550 28.764000 35.360 \n", + " Andrés Guardado NaN 33.374400 NaN \n", + " Daniel Parejo NaN 34.952000 NaN \n", + " David Albelda NaN 32.164000 NaN \n", + " Fernando Gago NaN 29.172000 NaN \n", + " Jonas 44.0160 36.227000 28.084 \n", + " Nelson Valdez 7.4550 43.792000 31.280 \n", + " Ricardo Costa NaN 33.524000 NaN \n", + " Roberto Soldado 73.8150 35.042667 36.159 \n", + " Sofiane Feghouli 13.7550 33.481500 27.608 \n", + " Tino Costa NaN 27.645778 NaN \n", + " Éver Banega NaN 32.640000 NaN \n", + "Zenit Aleksandr Kerzhakov 93.9750 27.026909 34.000 \n", + " Axel Witsel NaN 36.606667 NaN \n", + " Danny 8.1375 35.156000 40.596 \n", + " Domenico Criscito NaN 23.256000 NaN \n", + " Hulk 7.3500 33.338545 41.616 \n", + " Igor Denisov NaN 34.000000 NaN \n", + " Nicolas Lombaerts NaN 33.660000 NaN \n", + " Roman Shirokov 102.3750 37.944000 27.676 \n", + " Sergei Semak NaN 33.592000 NaN \n", + " Tomáš Hubočan NaN 27.744000 NaN \n", + " Viktor Fayzulin 12.4950 22.848000 41.004 \n", + " Vladimir Bystrov NaN 32.381600 NaN \n", + "\n", + "[468 rows x 6 columns]" ] }, - "execution_count": 93, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } ], - "source": [ - "pt1.ix['Barcelona']" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Las tablas pivoteantes son mucho más poderosas" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], "source": [ "pt2 = pd.pivot_table(shots, index=['team', 'player'], columns=['goal'], values=['dist', 'x', 'y'])\n", "pt2" @@ -3444,30 +4346,51 @@ }, { "cell_type": "code", - "execution_count": 94, - "metadata": { - "collapsed": false - }, + "execution_count": 53, + "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
\n", + "
\n", + "\n", "\n", " \n", " \n", " \n", " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -3475,121 +4398,189 @@ " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", "
distxy
goalFalseTrueFalseTrueFalseTrue
player
Adriano25.493844NaN47.733000NaN34.476000NaN
Alex Song7.928566NaN6.667500NaN32.368000NaN
Alexis Sánchez13.2446276.30146851.04312598.700039.85650035.564
Andrés Iniesta21.08940810.04054865.18590995.655032.98618241.004
Cesc Fàbregas19.93022417.71172471.32125010.290040.44300045.832
Christian TelloNaN25.150836NaN87.0450NaN19.652
Daniel Alves20.56162420.56722317.58750087.675031.85800041.888
David Villa19.491869NaN53.917500NaN31.905600NaN
Gerard Deulofeu20.202206NaN19.530000NaN33.592000NaN
Gerard Piqué9.634535NaN96.390000NaN32.249000NaN
Jordi Alba31.89344810.80128221.0000004.410052.63200040.324
Lionel Messi19.21859010.95177344.68227365.397532.74818233.728
Marc Bartra9.377514NaN50.890000NaN31.665333NaN
Pedro Rodríguez15.12871016.72339047.51727316.590033.59818238.148
Sergio Busquets15.455097NaN41.755000NaN41.162667NaN
Thiago Alcántara6.259553NaN5.670000NaN26.112000NaN
Xavi Hernández19.31645811.27896463.33409111.025037.22690934.000
\n", "
" ], "text/plain": [ - " dist \n", - "goal False True \n", - "player \n", - "Adriano 25.493844 NaN\n", - "Alex Song 7.928566 NaN\n", - "Alexis Sánchez 13.244627 6.301468\n", - "Andrés Iniesta 21.089408 10.040548\n", - "Cesc Fàbregas 19.930224 17.711724\n", - "Christian Tello NaN 25.150836\n", - "Daniel Alves 20.561624 20.567223\n", - "David Villa 19.491869 NaN\n", - "Gerard Deulofeu 20.202206 NaN\n", - "Gerard Piqué 9.634535 NaN\n", - "Jordi Alba 31.893448 10.801282\n", - "Lionel Messi 19.218590 10.951773\n", - "Marc Bartra 9.377514 NaN\n", - "Pedro Rodríguez 15.128710 16.723390\n", - "Sergio Busquets 15.455097 NaN\n", - "Thiago Alcántara 6.259553 NaN\n", - "Xavi Hernández 19.316458 11.278964" + " dist x y \n", + "goal False True False True False True \n", + "player \n", + "Adriano 25.493844 NaN 47.733000 NaN 34.476000 NaN\n", + "Alex Song 7.928566 NaN 6.667500 NaN 32.368000 NaN\n", + "Alexis Sánchez 13.244627 6.301468 51.043125 98.7000 39.856500 35.564\n", + "Andrés Iniesta 21.089408 10.040548 65.185909 95.6550 32.986182 41.004\n", + "Cesc Fàbregas 19.930224 17.711724 71.321250 10.2900 40.443000 45.832\n", + "Christian Tello NaN 25.150836 NaN 87.0450 NaN 19.652\n", + "Daniel Alves 20.561624 20.567223 17.587500 87.6750 31.858000 41.888\n", + "David Villa 19.491869 NaN 53.917500 NaN 31.905600 NaN\n", + "Gerard Deulofeu 20.202206 NaN 19.530000 NaN 33.592000 NaN\n", + "Gerard Piqué 9.634535 NaN 96.390000 NaN 32.249000 NaN\n", + "Jordi Alba 31.893448 10.801282 21.000000 4.4100 52.632000 40.324\n", + "Lionel Messi 19.218590 10.951773 44.682273 65.3975 32.748182 33.728\n", + "Marc Bartra 9.377514 NaN 50.890000 NaN 31.665333 NaN\n", + "Pedro Rodríguez 15.128710 16.723390 47.517273 16.5900 33.598182 38.148\n", + "Sergio Busquets 15.455097 NaN 41.755000 NaN 41.162667 NaN\n", + "Thiago Alcántara 6.259553 NaN 5.670000 NaN 26.112000 NaN\n", + "Xavi Hernández 19.316458 11.278964 63.334091 11.0250 37.226909 34.000" ] }, - "execution_count": 94, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "pt2.ix['Barcelona']" + "pt2.loc['Barcelona']" ] }, { @@ -3601,9 +4592,8 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 54, "metadata": { - "collapsed": false, "scrolled": true }, "outputs": [ @@ -3613,16 +4603,20 @@ " goal \n", "dist False 19.218590\n", " True 10.951773\n", + "x False 44.682273\n", + " True 65.397500\n", + "y False 32.748182\n", + " True 33.728000\n", "Name: (Barcelona, Lionel Messi), dtype: float64" ] }, - "execution_count": 95, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "pt2.ix[('Barcelona', 'Lionel Messi')]" + "pt2.loc[('Barcelona', 'Lionel Messi')]" ] }, { @@ -3634,15 +4628,26 @@ }, { "cell_type": "code", - "execution_count": 96, - "metadata": { - "collapsed": false - }, + "execution_count": 55, + "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
\n", + "
\n", + "\n", "\n", " \n", " \n", @@ -3720,7 +4725,7 @@ "4 24.59 3.61 Female No Sun Dinner 4" ] }, - "execution_count": 96, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -3731,35 +4736,45 @@ }, { "cell_type": "code", - "execution_count": 97, - "metadata": { - "collapsed": false - }, + "execution_count": 56, + "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
\n", + "
\n", + "\n", "
\n", " \n", " \n", " \n", " \n", - " \n", " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", " \n", " \n", " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", " \n", " \n", " \n", @@ -3767,6 +4782,7 @@ " \n", " \n", " \n", + " \n", " \n", " \n", " \n", @@ -3783,130 +4799,130 @@ " \n", " \n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", + " \n", " \n", - " \n", - " \n", + " \n", " \n", - " \n", - " \n", " \n", + " \n", + " \n", " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", + " \n", " \n", - " \n", - " \n", " \n", " \n", - " \n", " \n", + " \n", " \n", " \n", + " \n", + " \n", " \n", " \n", - " \n", " \n", - " \n", - " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", + " \n", + " \n", " \n", " \n", + " \n", " \n", - " \n", - " \n", " \n", " \n", - " \n", " \n", + " \n", " \n", " \n", + " \n", + " \n", " \n", " \n", - " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "
total_billtiptotal_bill
timeDinnerLunchDinnerLunchDinner
smokerNoYesNoYesYesNoYesNo
day
FriThurMale3.0582.941500NaNNaN19.17100018.486500NaNNaN
Female22.75000012.20000015.98000013.2600003.2500002.7000002.9902.437083NaN3.0000002.66019.21857115.899167NaN18.780000
FriMale17.47500025.8920001.900NaN11.3866672.5000003.2460002.50000011.386667NaN1.90025.89200017.475000
SatFemale19.00384620.266667NaNNaN2.7246152.868667NaNNaN2.6603.0000002.7000003.25000013.26000015.98000012.20000022.750000
SatMale19.92906321.837778NaNNaN3.2565632.8792593.256563NaNNaN21.83777819.929063
SunFemale20.82428616.540000NaNNaN3.3292863.5000002.8686672.724615NaNNaN20.26666719.003846
SunMale20.40325626.141333NaNNaN3.1153493.5213333.115349NaNNaN26.14133320.403256
ThurFemale18.780000NaN15.89916719.2185713.000000NaN2.4370832.990
MaleNaNNaN18.48650019.1710003.5000003.329286NaNNaN2.9415003.05816.54000020.824286
\n", "
" ], "text/plain": [ - " total_bill tip \\\n", - "time Dinner Lunch Dinner \n", - "smoker No Yes No Yes No Yes \n", - "day sex \n", - "Fri Female 22.750000 12.200000 15.980000 13.260000 3.250000 2.700000 \n", - " Male 17.475000 25.892000 NaN 11.386667 2.500000 3.246000 \n", - "Sat Female 19.003846 20.266667 NaN NaN 2.724615 2.868667 \n", - " Male 19.929063 21.837778 NaN NaN 3.256563 2.879259 \n", - "Sun Female 20.824286 16.540000 NaN NaN 3.329286 3.500000 \n", - " Male 20.403256 26.141333 NaN NaN 3.115349 3.521333 \n", - "Thur Female 18.780000 NaN 15.899167 19.218571 3.000000 NaN \n", - " Male NaN NaN 18.486500 19.171000 NaN NaN \n", + " tip total_bill \\\n", + "time Lunch Dinner Lunch \n", + "smoker Yes No Yes No Yes No \n", + "day sex \n", + "Thur Male 3.058 2.941500 NaN NaN 19.171000 18.486500 \n", + " Female 2.990 2.437083 NaN 3.000000 19.218571 15.899167 \n", + "Fri Male 1.900 NaN 3.246000 2.500000 11.386667 NaN \n", + " Female 2.660 3.000000 2.700000 3.250000 13.260000 15.980000 \n", + "Sat Male NaN NaN 2.879259 3.256563 NaN NaN \n", + " Female NaN NaN 2.868667 2.724615 NaN NaN \n", + "Sun Male NaN NaN 3.521333 3.115349 NaN NaN \n", + " Female NaN NaN 3.500000 3.329286 NaN NaN \n", "\n", - " \n", - "time Lunch \n", - "smoker No Yes \n", - "day sex \n", - "Fri Female 3.000000 2.660 \n", - " Male NaN 1.900 \n", - "Sat Female NaN NaN \n", - " Male NaN NaN \n", - "Sun Female NaN NaN \n", - " Male NaN NaN \n", - "Thur Female 2.437083 2.990 \n", - " Male 2.941500 3.058 " + " \n", + "time Dinner \n", + "smoker Yes No \n", + "day sex \n", + "Thur Male NaN NaN \n", + " Female NaN 18.780000 \n", + "Fri Male 25.892000 17.475000 \n", + " Female 12.200000 22.750000 \n", + "Sat Male 21.837778 19.929063 \n", + " Female 20.266667 19.003846 \n", + "Sun Male 26.141333 20.403256 \n", + " Female 16.540000 20.824286 " ] }, - "execution_count": 97, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -3924,16 +4940,14 @@ }, { "cell_type": "code", - "execution_count": 98, - "metadata": { - "collapsed": false - }, + "execution_count": 57, + "metadata": {}, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdsAAADQCAYAAABPystDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n/wN/8eRVDUnL1wAAAABJRU5ErkJggg==\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdwAAADMCAYAAADZAhLaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nYII=\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -3969,10 +4983,8 @@ }, { "cell_type": "code", - "execution_count": 99, - "metadata": { - "collapsed": false - }, + "execution_count": 62, + "metadata": {}, "outputs": [ { "data": { @@ -3981,24 +4993,24 @@ " \n", " " ], "text/plain": [ - "" + "" ] }, - "execution_count": 99, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from IPython.display import IFrame\n", - "IFrame('https://pypi.python.org/pypi', '100%', 400)" + "IFrame('http://pypi.python.org/pypi', '100%', 400)" ] }, { @@ -4015,9 +5027,7 @@ { "cell_type": "code", "execution_count": 102, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -4155,9 +5165,7 @@ { "cell_type": "code", "execution_count": 106, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -4196,9 +5204,7 @@ { "cell_type": "code", "execution_count": 108, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "import pint \n", @@ -4208,9 +5214,7 @@ { "cell_type": "code", "execution_count": 109, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -4237,9 +5241,7 @@ { "cell_type": "code", "execution_count": 113, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -4272,9 +5274,7 @@ { "cell_type": "code", "execution_count": 114, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -4294,9 +5294,7 @@ { "cell_type": "code", "execution_count": 115, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -4332,9 +5330,7 @@ { "cell_type": "code", "execution_count": 116, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -4505,9 +5501,7 @@ { "cell_type": "code", "execution_count": 121, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -4524,9 +5518,7 @@ { "cell_type": "code", "execution_count": 122, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "%mkdir test_pack/\n", @@ -4536,9 +5528,7 @@ { "cell_type": "code", "execution_count": 123, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -4555,9 +5545,7 @@ { "cell_type": "code", "execution_count": 124, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -4581,9 +5569,7 @@ { "cell_type": "code", "execution_count": 125, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -4622,9 +5608,7 @@ { "cell_type": "code", "execution_count": 128, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -4659,9 +5643,7 @@ { "cell_type": "code", "execution_count": 127, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -4690,9 +5672,7 @@ { "cell_type": "code", "execution_count": 132, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -4777,9 +5757,7 @@ { "cell_type": "code", "execution_count": 133, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -4807,9 +5785,7 @@ { "cell_type": "code", "execution_count": 134, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [], "source": [ "from marquesina import marquesina" @@ -4818,9 +5794,7 @@ { "cell_type": "code", "execution_count": 135, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -4848,9 +5822,7 @@ { "cell_type": "code", "execution_count": 136, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -4877,9 +5849,7 @@ { "cell_type": "code", "execution_count": 138, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -4910,9 +5880,7 @@ { "cell_type": "code", "execution_count": 139, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -4948,9 +5916,7 @@ { "cell_type": "code", "execution_count": 140, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -4985,9 +5951,7 @@ { "cell_type": "code", "execution_count": 144, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -5015,9 +5979,7 @@ { "cell_type": "code", "execution_count": 143, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "data": { @@ -5057,9 +6019,7 @@ { "cell_type": "code", "execution_count": 145, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -5091,9 +6051,7 @@ { "cell_type": "code", "execution_count": 146, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -5140,9 +6098,7 @@ { "cell_type": "code", "execution_count": 3, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -5167,9 +6123,7 @@ { "cell_type": "code", "execution_count": 4, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -5216,9 +6170,7 @@ { "cell_type": "code", "execution_count": 5, - "metadata": { - "collapsed": false - }, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -5248,49 +6200,6 @@ "\n" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Terminamos! \n", - "\n", - "El que quiere el papelito que complete el formulario, dijo Kafka. Mejor si es ya!" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " " - ], - "text/plain": [ - "" - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from IPython.display import IFrame\n", - "IFrame('https://docs.google.com/forms/d/1DBUOMBeN6E1It1K0hFmqJxVDkZOo8DWQu0SBLAWDxho/viewform?embedded=true', '100%', 650)" - ] - }, { "cell_type": "code", "execution_count": null, @@ -5317,9 +6226,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.4.2" + "version": "3.6.1" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 1 } diff --git a/img/circle.bmp b/img/circle.bmp new file mode 100644 index 0000000000000000000000000000000000000000..4fcc6b137cb96cd6187dffd09030b2ed0dc50c40 GIT binary patch literal 5138 zcmcgwy>7xV5O&+4NL^52uXqF0DMKbC)Tv7)9)M@4*veipF!B(Lj0`Lp7#J8B7?4Qc zfdP}hYm7-`Oq`^R&yIq9{`o%6Ioo&cygxU|IgR4qulRkvymzEd9^&$MgOJ7(e`Ap+ zO32S6AukuP^Y-zXG?mTorH)V{?O_-7!m(fT9NLN>ht|BY-wSuqzQpLFE-qNn$|F?$ ztUN1ni(r)P3)lo|?CX|Iuu$Tt8wTMuO0hHu)o8aZHY`uYn72KaC;JvGv*!3`4MetM z32hFgzk!G>mJdPZUr#G%l^Gb@EQh68X_iD?nu-~-BC%K1vK6J1lNN?h6;&QTOtF)~ zD0el> zn#|8Oy!PdKo$}gen&?E#!UC|-Ic(UX*;Jy_Hf(FzX%oDxyd6xn?;$eJ)a(B1RF!e^ z{yIz7@8{K-!pJ#?E4bV Nf`9MBdGy?0{Q~aKnYaJ| literal 0 HcmV?d00001 diff --git a/img/numpy_manipulation.png b/img/numpy_manipulation.png new file mode 100644 index 0000000000000000000000000000000000000000..fe4fbd5cda1a1807f0845c6a3657b174e907adb5 GIT binary patch literal 61928 zcmbTdWn5HU+Xp%{NJDU7?gNSk5C{ZUPF7M40zq+yK#(>t(ZP|&8Eop{ zFLdKqGLn$Lh~L?*MRDK=mc6Ww6Zpgw;t$db<}~mb2!^wqq7=poIu;>}fN8M76at}z z$Vom|cc0x`@bJR9_=|BgW$tFqAM!+UEwTaa>}f=U{L`T3uj8s0Iur#iByyBF^tq9w zim&izh2(W9at>}}y|LIy62l23c!8-ZL{_f(Uaew^U(GSvpH_lcN+q25Nw@axS6%i~Pj5Ma_Ad~w#TeH7 zoI{Zpn2#k#$AvNudixWePK5*qOMHAlLQH1l=_$16xy!EpSsm+DBHM@3(o#D3-dGX- z{K5hW4ZJ&)q{{u+SgKdMM2&$>_p59SjFE{6K9c=BG!n+ZfaZO3E(Oj25zr?c*m@s@ zxF(JarTYGf2^U#?{q!%MXFH+cRmR<+`UPrLuZxtPhrlRs(AB@_r<6`uO7(6X9N?8} zVl(t==e$4@5EN7m=QiV|P^~Z!%}h-V{j)ys>iGD$2Et~aFZ6k<^qQxTEYl$>DJcn!QjMi&7L|rf*V|>S!bRMVvW?-^b9L;0 zFP3~~R=R?8CO&I0$do;C8Knoq7|)_op!V_m_wU7Nyzg>@N=9?9J3*$VVM_ zd_a+pj9F@ZpF}0*)gbwOy1@b7-Mh8EUho5YbGF;Nwz@hEPN`aN`{p|FF*u!U%yy1u zX~EW(#TRw&>(dp>+SJ$Ke2$SFyW$8Z1WX zzG#+S@h^G7&jc9U5sQMwS`qcRyNJy!Z=M?G*F-j*Z)ne##|jnKoqO%3@YOmGou$)9(fn}oZ9@W~>iO*h=;>TK48G9shM zc|IitLK7^(|L6PqLX6`Z!A*AeHu(PaIoR8?rsOdTUm%LiV|3?L^j8S(MD|@2dXX%9 z6IUnxIN!w4#nn}8dv|xY(PdY&T(?|P-w({~(ed%~oAdoDaEuw&$Bgq=q5rDrAE6?Do_KXBqA4UQn)|S?)<7vtL+E%}L}Z+((|$ zQc^73jm-{g=w4o4%j@eOi;J0=pY*c=f`ZWFZU7Rr-2NRR|A?$wX?;Tixr|0LI z*5MZi3omyk%ROq$eqIiX|1FEv3y)t;fT&fv`sHsLLYUzv@lX9UAyy2qx1q$}q^&k~ z`ANrbK5O(049m{+BQf_1-s5xOCA|m~z&q2k_L+S)3lAiSJ$YTORCI%Q!WMdrpEyshkO4L5?&o>guM~-%N_NGadZ&^z`@8(9qs;XMl=hI0pxZ^-`NR z1D&*%mR5JSITuu3GJK*`YZJUBG-A|(H&-=JTAx^|&h5~EaSB?3rreV`mBD56=?fAM zg}BVnVXaB}Thm$RH)Uh~r-8Y{$11OXSui5~qLf*h^w_?a!+eZ(jrL^})v9*(Ay@|_ zA|fKhu{U7 zy6)EZ7t=9MWK5{?7EqOO9x6E)CC~=%>M&E2ou>7-dNry%!hH*Is`hZtdT1T1S=ye@ zZ?RiK--e2VL^>>7s@`)2xh9bySw$lK*|1VvOv)kf?$-fiq^LkpW2!j+9+HMDVIBu> z!^&166lrRYB*>+OLk1&4LR9(R{gRA9y1u+zu4unEZg$=GkA=5@MHWxJmLcp$OtZGo z>{eyBB-Y*QetGm3%wxN+FEtriZ#+TX9jOSO9eP>(={I8*)JNeRtovTa>K|H5=Ld%6 zNM59i;LaaWU>Kmwz`5L!i&1H7YW{dbv>>kEi+k#uqE0ul&+jry<@7zfJZqLeWs@x# zg&onaJ-ibXL$eFjT|q_}6#vV;%uXH7%7znirBF;E{)SsyB<`Hw&)&N-`nw;eje#c9 z-1h~gQgQ~Hz-YqaAl>r&y_>^!t(&VW7VeHV@0-=Z6dthdo`8GV_?h-fGJJooUdszH z+!|it?0R+TCgEd6$};Ne#INPUhnq1fcsJdH9MXwj298}5tSlh6$;cn9o4;E9)Gm0$ z?uW0yZgLh4^Uv=&-Nef#=@3^ZzZ7KA*6w+U{bisGvqYF%x|A0lUhb1RpF*t{$b@4Z z@pE8;j;M+3oR5%xbkUDP$$4KI^YM&j$*4tcBB$XO&zt>v67uD6a-K@l0a7-@HcGqJ zv&2>S-e_JB9sKsF3m;Tpa7PuFP!trDDvuL0son`MKt&t_kjbY{qzDJVb2o$5|(J36kLOXfi{u4=k?>nT2}5s-o!Z z>V#OXhtc5s_(Ex@noyM?X?=gwws;7l)>hVkbVy#QRr>O z_VWzS5#PL(VR>`OE~v{M@IzAY>Ih0ZQ1FD=U67oC%{TMXcN9IH6CB-K@P64Aq zm_Icry97sQ$k}Pm^SM4n6lzu(I=x0}Ov<8yX$#=@)Nwxvd*)~OYv;5ck`GaN?);g~ zF+dz83%k;C@_isX@y2e^3=5~$MOH}Xw>KuvDBh`;^2R!K1X0z$)yI}uOFm-o;V(V> z_Prl1^ZTb4D5E8*sN3xJ=MOU%<1iu8LnA`Xi4!8$0rQd0DT5!TzP??x6P#{$7N>oj zU)-?c+(hK#<5TN%e`Q`yxoP5=d3ovX{{DT})D#&E1`ACW5EK)m{+Y%v19~6{RbEsS z{%pNnRJmR~tB|yzp`oOV%v0{3I40#>fU`m)k5{|HK*L-C73`&g0?vR{IF*pIEGP?y z`VefBgk>H5WMT5tS$@GTdwXiXy@RDSfnE)52Fz7m(ohVBg4>o63@mo?0Gk)&PXj}2 z9?&+9b`_?5-l#5qtE!ooksQY%#~I9rUxfYE_`?EzQh>>;-#CX>n_-5;>S_tSB{&@K zz8VveTF!aI6NJ4y_IBUyRK;*4rC{!lkT|>f zh7Zya6f9!WoSdBQ9v;v8V0;!M5Zp(6`B2ln#n$)5S{2k4uZ!^TXv7Bp5aj{vAegz8 z{*g|RsPOOe8NGq|R56c@Fc)0)0~X3DyL!uIh+=72R4H{+`=Pxt%Q8 z_1H6p$KR2PU4#}2LrI=q@6Fb}is^e}X~`-gD%zNq_Gqrri7B1}o+ljvI#mLzhW{^k znPzz^=;%jB9hsu84c_?wQ8K zJ4IKSHGa0)q6x}aT1}!#Jc-m>$XW|Z2L(#;gKTv(WA+)lC#;4NH+%yUJT3U+u5m4+ zu2Cr752=H2mU(bJ-)4(Jy}{brM(%$E57&RDLB?V56^jLH`i)IDC867+Sy+sSZ(l ztFH28J#6e*27{>HfZv10Ei66SoA1AotPeV0!sA~M$JUhTkQD6YJK=|38~v8BLEl?{ zJj7XbRl@&AFOz^#)TvCbj<{qMhZ^xC*Q%z&-f*NC9-vG6{FtodiAPnblR^!6g9ni+qa;k zg+^5Q{=E+l3+qCxq(|^fLJ{f*<=whd483b5y<$Z8JI9pC zQcKjK9NRF+GD)=#`$wcSfz8rDdlo)^lIZtWu5r*FZ<}UQOZps6y=3EO_OHPB*Xe4= zI$4$46H}s;Q@<`XK&s@iQY!U9t9;kXyQ-~9>9@mshu1gLgce~sU#d+{AF+{8HkWtA zsK*o-ZEk_+;$ruga6bEGiEaZ6o0)2~fkgIzUvT|4FTv}JL(sLsb5IU`p6`|XfCdBv z{DhrvjlPV5`JB&~2L}hMIEM==9k~8$J@=yj0@~w$eeR-Z)iU zH}JtzYbkSE`uzG=jkQ+-EST(9BuREi46Qf%K#W?W12oGY&H7>+8Ojy=7Gb$u!XL7yurz_IG0y9$ySf4_s2>D^_MJAowDuVn) z!Vv8rCM_)udS}6_B(?Adl>ntEqzkBy!Zuht-gVP;d>hX(3SVHrw1d}itQte9MhkZ;a(UHaLb-FLEjl_p z9fz1qezvF(Hd z{&QyLs^gJei>hU(Kbj>2dV}|kD?n)It)6Eu+}#`Kj6GX+;Ih8rt-Ft5u!pyo4wCJw z9}_>{xD$v-JKTW&`mkxO_c+A&Rk-R8pRaCZ=xAs;%2{Hef|@m94nLwFhejO#?u&y8 z*wfO8c?kd^K`SS)?@O53kPI0gn3oc1?o?DRM!O?zS_B2~p%xHOhI@O9e$_Ae zl)hE)h;Rc$d26AWU$@>i0u(w47TAt5Rlxm45tUd!%9f@Qwn$spS8rITh&B&=e4C?_ ztG#-4l?RGrakcf(R(T}bd3zx=O!aPKvmyJ>3&6luHaCM3o@%`a*-U@LZ`-l7lm&qL z@sA&}354)LEB~Zz7>W-UMU{MW$3g!56~o1!n!dv$7_@0kkf_gTSr{FMrOa|`W1Dj; zAn*d(r6pJ{h=H8(ZH$v-3aQV}j`!qDwflIHvVjB2>#b94f%-U*SPYQVuy^CdF`JQ8 z!l>n%r45k3H;3Y1Ek=<67WiIgGnf4x`iee)TGl(ip>iD3zYUQ$yum}yqnq#(C=r~j~}cNv0ePh zlEX}j+@UGV+Dsu>IP zK2I`BWcrgoPVw45$)22zeT*|o9)!LpSw4Vd`mN!>_pDr!8zPbPaX9=lC<_e-0;*(I zQ(;DBk06|{t1qA(Qub|c^5WWzavE+1Id_fJtH&IiqFP;WSvB5}@L!h-cnOR^m!Cm4 z&^xfm@5E{RR)kQ7kgc?|*RE&tlE-$YC(`j|Oz;|7 zNq2(k+p)0FDtTyyOLg!u`M0Svw)c%-pGAx_j@jD=6j>*v!JkgQ@_+Guf(;bC zi)?kt*eEbWvPbLqjI1#4)KZ>KmVbx4YzJBT6(fu3AfdK_7NW-frinO?QBlo0{BMNM z*bcSG3(ET@^-{FWlF$e{z+<2y?p&V%p;*0m#^BCvCTt_|mMJW~Mw-vAQW?yD!gm`* zgrfB#_=(ymBdwsAwgAP9iI5siwQ>@b+ z(LN{S5IOShMZ=ceU3$lUt2E2Y<4s;MnD#V&2U++X-Qbj4Uf!pF&nbUI8A)7r(9_ur z1a1G5*P639Z$wG>UEfmLAn_tCBS~N^Bl)@8Q|FD!8CI!?Fn=T=?aL{}`zHoOMLlv&7IC>_`mEU%64 zk^Qtfr+Z@!9&w_-Ghj(K(YUEIb<~Ouy!zz;3F3*ABppIZRY?Ee6$U+)oO^_$2=Rlh z#cnbRzNH(u9gxx0K?}e8_A*@rn^y<-W86a#x~UL74rAkRQ`@}4PXzmE&Zz$xL9EQK z<#c7(-C?1w)wC)^$^f~Sut!HZKwd*DjltKP1|m7;X^P7gNNmEU)@1eo z#S#+CS+-x$mcN8vDLGb`rXWM`@7#FETr88&-Z^(-NMOG{xE00z2x~We@YWdRW;ovv znd=n|+x**(2M{htXVyx|XHX6L%56x8QF?#QtR{3WT&j~6{p1Y7h~h3q!^S)DDWrXL zR1zpx14djD<(f~0q=y8lMch4KHIgd9{m#|3BF^%#2$oKGA#-3zcu;P7 z{*;pWvYkUVBZM(9B(>#B){c}ihdoWJ)socj9u zBcC;%qN1bcx*aZt-g@1i42xTg7e9=Ri$j8Z`0yb(JUsr);Tn8w!(u@(jc*jIshCKF zWQ~lwx4E)E9LkE^g1xy#hh~N0RNlsqEu|azWhFqhJDUs-rR9rMO3!Us)}g0k+r#jm zeU}wgoPH5Ao3zkdXH0@NzJU`+9P~Pw^e+)K z7DkRzXu|0?Z^$~*B3TFhwFTh|+52<>2jmPPmv2B|{~1+KSh#w5ye0so?(>6%FhFVo zV5Z@A-GaUIjZP%B__*jOfbo0;eP3JDmY2d|y`RME{%TXZ#te6|TrUW4hkn=g){`OO z%j?~Wa%yEcxz78$8$d055Y4GntKyS%URk6$5E1y8+~g~*rZ^;}q(=LukbdXsd~)Ln z{#KoC{&==RP=&wfFl+AYL`^wB*CuA9>Wdd^ze$p{e<$Zj%jdV>Jm*}#8|9Gu$&*V} zy&kq&V5^MtZ8}Pnift^S?KffdLiTeo3IOm{YZ_+aY`QL^@M_|hxn1HD-}jeC2A6I<-=L}r%Mka?RBFS^T)sm;+BUi+iO_VOvXFZIB*e7SH)ir-wLJKsL+;*@1cKTY(#XATq86*oL{PEERJg8B^W^J30YpT{Zwgq+l^ z3jEk8x{rJIsh_gA$TF3smy+7=pEzIVgwy! zlr37-oy9(i&9wW6l#~07yJWJWf=if{N!<5Vd)P*ACh1bHq|t_sy!j?PW?J}Ua-4?; zTVzy`vp*n_j`d`$qvJS)$_`AWL+~nCUwK>0V z%||`-2v_mWN9JER?w{K@dLZV8_0o1~7%qy-dd65g3N`Z_Q}UwF*Fhch)&=YKQCCM= zD(P!9x!XQl7r~an!-1;^y7{1>#)m{-AFdu=vCGO&DImX8gj_t6cJNW94wer2`*U2U zp5bv|^n6G}1j0lZ9H?l!W^HM0RWvNeA!1bEVseKNP*JfDpxOafHJQgeQlm`X5qKq~ z>pC@NIuVsyhlf$F`?D!Tv_pbJS>l|fsE0uEsMW>8$LEjo{5)#GW%7f-$qRA>j`sPq z8?<@pIF$dCn4D||2dMI7q6&!|VSQtw?z8W&v6YkD@6ua71@!*j5Or+!G1%Sa<-B`f zWa}_SuI@i!GRKO7p7v^ax}S7am5=HriMoqApH+M`nK%F8 zukh+*#^0a3lA#DS!F?c?kNOn2rqL}-?uoizE#B77*V*Wme$cSytX?+;wyI{|8}O3^ zmYQ!W0y=>7OtmReM|!?qb;Jb_sjEX_+}wl!3%_)B=0#9;cTZ0-CvV^f%^XgFH9{vU zN(CW)#_)~C_ZFPG^6g6@a)Oa4Ih}5qyv%-7g=-FxCGxI@n#)MJ2JmQ>BI@gj-W#u-Wri&slaUG zuY1#OIrYV+cJKG^Kvs><%ai5dOB0~gINY4u08?A14(427?DgL)0Kd&Fv0j~ZC$PUr zM*C4ZEbSA(6X29J}8yk zg3K?Ix-Rz#gR0*M22HWF4|1|5zg(yyD@lfIZ=k>Y=Y4s^ke;7v~tv zNQ~(y0OWjX&m870{!eOE$+ zsCxNEge{*nO3ie77Zw)MmyyU%y8B?APOh#!fLg=gJvdv=Lfr?i-}k*SHqO1?Wty&gu>w1kp9oqXDslY?s>ZPG=Kfr-w^4pvJxg0fsHfH$SSKN5_?k3|7M{FjNX@mzd$qxBhzVw7Y$D zY85Cy_VVb06}HeIgFglrc*uLDNiD~iE%x83#cNj19SF{`kh9+BbU$g#Y)nMTf~b6W ztVC6~q{1e%`mz*NFyY@>PYlq6R0_Lkr*KaizILRPI|;xS>i~`VcvOalMW}IL2skM@ zQ{s1~UtcA0gl_#IgF=HD6;q7>FWBg{ocR0^2>Pjq!*O}h(FCBbAwz&V81xaFjCIHT zYb(YucOwe-!NWK0KBBj`w?|99e?JgA_+yZW1(t+8fj0jX?4i&oi;*TAu>6{a^*YH38j;?(LNwo7|J}NMSr9kS$HY78>DDG$g}e^wrdyF zDvgK(&}?ta8y#JvHp7VI_4Xn#{(X++6l?Dz%AB`<>9ki_GxFDaM^J`S3aU*m$e+N0 zVS4#zfU}%BjoUPo4&h1aCel2a{PHGjXQFg~uMl{4YXEQYa}H++YpM1gwEw+NW5^j8 znyE2=2!+Zr?c^#QL2Hr&1}*kVammD|evTO$VITjP|9p;064tzm_D1;&kgMu&+-3h3JD?nZ7@Iyi=%Ut^Uj%X-d@FmSguEG(-OevK2ue@u}B)3H% zUbo?ye>sz0vLklK=pcOv%*#5arTqQku3&(N3N#^gg1Mjlt?blw${NHZg|bAwEKv%F z>_07X?(P@$oNc;4?Z~G%;Bet(gKnl7qO{QDa@@z1#mw0AZme(x6bkKnTPlDH-YLau zmT7;861$dlJ@z{8CKK@ZW72bm3kP^M5V-Q=4l_V(wq9%@fBW_=6lRPXNh2N!42awp zA0JrEH^30kP$@%5r`2q&Cn7ZX4g?OIkw-d4cTDY~6Nr;_zkDYPWb|{NWsSj-5)7cO zp~^l$Gf>8}Hc43^`JlFeDqmm_X1?fy0TIA8DlSRifYcFpOD}g88$%3Fd0%&T&L_qQ z3T@VCyY>$DT{lJskUuh4nzuCx&Z}^Ef!X({T+^!7y2541;%nQ_H*#IIPbV6kHb-jA zl|fb~nZ^m2B|rx{`i9NP%s2$9MDpJyFjeCfhBWWqy@U8Myh>cYyI2ZJOG{%j1|N)^ zU`_#8Sq2~h5;yCn#>O1;;ml!u^R1Db=~}BK4?&*ogc<<0R;I)SpI;hMyasXMJo0=%;2Tft^tag6(Te!LJ4<5ZO>*rF728s;+Ei5p*U=&J0<1Bq8B zb?Q|wPc@VfKuB0id!xIG0Zg=GqY+1m?P5#Fmp9F;z_Qeo^8l9J&SZJ%bc3jf$k9fc z-D(hx4cQ(+I77vL?S)MxaL17>ubfrt+Uj7#$5u;?^k<$(Wle8b&kIk zGhug8!7zh5j1K<%m^ne$>dVF+%OVMQRu9o6N$1~$z?BcT2jI~b$U|um9Ev=o*!y>6 z6ouRcb(8Nl*ldzd)8@tKMTlADh86hnk9?hJLN>Q{0YU%cqiPL|8I}Q|y1Z#qetdEk zA2~TWklyJAp!a9gyINfks>(JUNDPf?_qn^)9MJlrAEUTn)BNIauKqA(*RavCn{o+3 z25M<+Fy6<~%hgpOxY3(t*N*_-@k4Rmr8qqjieGiH_fCgD=V%=&nrbXA><2T>&%ZIBZ0_< zG!U*Toi>#=iq8gT{W0u)bat2~$rj<1T}WewC zsL%BWUc~H=BX9FK*G?!O)=zJ`i}MsOq7GZ^{g(DpE|Le&q%Z*HrRxAsQU~pwZjUYB zzQZ5_1Y_0$&l2=0kS`0GfP-$_k!IIc5_}1o^e5osrhRFLl5*%Ln_l}(PivQ&&VBL8 zzl@+3o!z-_0$4=bMGDQYp`pP%v*d<)Y(2FrIP2dJpQU>9clSz&MT<+?GuB z@$DnAh!~B)`!`e>!5bq$C?RD^t8}8;vN2uETSz*RGG+gy{qFn`pyH+mK!4^3oD>gI zJsVZgdY-D`&u>0N>AX9MTOe;5uH}BRp~$9Z=FKu!q)emZO%2?IU_U=deqkYPtb~LFgyT(9 zAgH7>mUlo%$OHJLI-~;J_i#)5vuDpHEN2!L-hixI06OlsbU~*tX^@zGbSDJ8z+?K4m3!$m4EtWqE^mw1E4(&=O*Ld=2Q>JZ|Q@;LP) z9ee$H@#Zf7tLNVYxp-F;o^5+z8N`I!_KmVV`S8uNj`E{eTDhsha5)8!QvZ+e<7T13 zs#xV0m@%azBPxLWb&Kp68ynLB`WOY3?Cw!Vn0M^oI!otD^ zer4c80ABsn9k%UeB=dV^<-_u_(O~ACvuiar8HdrYd^w#-7Z;aqfY3UjaZ=VP7oC}6 z-V{Yj8U5VB33+OxZ?TS4;uB9(Yv+x1(ae4uZWgei+oP{JkL6Z~Nm^*^AytQ?4*xig zcw*xQlO3bzup;j(f-x`UMH0TiM1laiV+>U54Gy()=e_BNIXO9Bt0+f6v9HFF&rt_i zJT#ESEjR!2x>S=Lkv}DQs+k|q_55eLAQ8Mb(tAT_eIN;uk}?3Py_xUNysw?X{iBVJ zjskxqRYh^oSbP;Iua&T z@)d0KzTrbgMs~at5?rWHkSm>_V`Y5+%0(|o>^kg>vp{jsArb)5!;Cs0sAy@-Cc9SzpB(>;+RJ)1O${jVi{f` zv_7z`2P}P6$P|SIY0RNnhxx1uOV4gLB@2J!CXZbPa*ame@q^f_2&l)spl%uQQp6-D z2XmYDXM@2Bjc@~zsLRTxIm>uop*{V2F={uT&MOA!Od6Qa_hsxg?3+Y5FGt9nkO?*_vn3y@=^R^D#)K9 zG<=V?C7&Bykl_ge9WM%ql{S$Q0cHP@{N=v}2BKbGU*`f@V7k$%sO*v7|D^wTZA7oV zxBw{WQ9Zw6(ENz#Kk;9nKoGKkWHyzst0YLWw0oYhj#<|J&rk@S-#YU=-5N!~!omuU ziZYi^i3|X7o_{VzHssqs9nb-IsUUuVNli^18WQn;uM&cE76|JZfw~D|NUG}A|2wOE zIM8j`3|gR1wY~(lx3{mZ=BWa9_>W1!@U6*Zm&@nYT_KGR7Yv<>3CO+vN1P|N1Gy3? zpEdLo9#yEv$p#Cb(*GQdP}hTbK}6-azrVi)T}jos%o(5hpL6y-TMJ3>8>PJwxTVhO zs)jrX7mrG~xEHu0p^Ber0C#+Qcc3FhP_se#msM0;2ScP#I-%w-^Y2tWb_7D#(WIW;3Rvcdu>(tr z9ai=Fzpty}3<)Cc1JQ>-q~_@8h*|ac|6UEx&ZfNu5}-C9dY}->>)-z0FgymTNEjJs z4=6jMK;$EA#I*oc*FRqyyjPH)kATCyU*C;!8GjEZY^EwkLzqG=o(B+>T1ySC!agg~--7hb!fHsF@%twZ7q8Yfc@pAJ-YUp{10)X{ zq`B5J?PFu@FAv`zd8syTQUYQR3IM$86E4F&_NRZ(o_q@=>Cgxp@Bk+BzKb=6-`bs~ zjr_fDx6U#IG>6xPqMy6&6#m}9_gA!amfhmL3+mvVf@-g&tSsiaL4?-nCXA6@a&$8t zz)ASga_4C`auddX?Xdqn2nZAJ-<9_Nw!>8ZJ1hTxytM!OaNvIz#{ah`_y2Vf(ckiN z6eYmi{V-HhBQzUKeru5V%!(9ro%8uAAaC1E*V#O>U1<9FtKe1F+}tBk&r`penwqX| zcd+STFkO&m3TD;>a=)P9ni~M^4?%-ocDrv5Q4OX(d#VMah>+d`A+Fvi8X3^_oQ0@B zSZ%b{N(;p61m}HPKxsA`&dex<0^e}jpj=?HfQaWQCS(M>e7ZODx(>$3z_4w%p-qJ`2c)j z_QhDl@i!*O2u3bIfe7?7ic&E45I!+8(sd` zzIbo~#A6AdMG=sZZK}XHbiXnWSBN{Tq5{yfadZRYhaG@SJt(i=LC&UnVHiXxK*!3~tG2+&M|L^Z+o z5l5;uAa_1zvii49{So1}Ta*ME=`pZ{DBI1z0~;I}>9ZjOm=;vrr{!gLa%^mD(G(Ls zeKrs-WR;cOrtjQACR88sfogVyDflup<`n!n}#a@SO@sF6Xlal$|o|BgVjsp zmM)1lFy}3m;M^?&7& z{y?K#0ZX&dbK&;tq&yKIqtN(xVgzmDY&r73ItDypZ>ild5oRW2zYLkJwF=75rw>|; zs%ZHm|HT;i7EeH_`Z@3)Ad@NL;SUPRBd`u?bbWy?&IQHkrhtPE10>ab{e9tq{A{zI zslgz<54IU03^K>{{*jpqPcfd1(LB>Vv~qhK$1k@cU9`ta2#`}Ci_oNou$C2 z?B7q6>BK1={Cf`!0{~)hx$LN4UR@#Ng1!l>3d8nD9`m8(q}}n705oh;kdh>4*Zo>a zQH<8%q<8&*rw1@VE@c=pc|d~KQ6~mK*e}1thUUhDUz^Z+yCvINFtOIB2MdqD4u_-D z)9=9NRB82eIXSsFTw$GGr8aWi%YemF(n)71CFLDdgRC(G0-i{8 z&=!wQPHH^cfWV|V&^;l=BMzGl4G#Wsp4q=T4!+Z?+hR_%2B;Ixbexjo{}kdM;p?0$ z;V?GsN(dO+AEQ<_L;;|@=&`@|^n6h?mXbt7NEo{QZHBK0#PKM5F*`mB=jxXCfJVEr zzrSC3qgtT0vKA#iy}e8_6}Xs~ z5|WarV24Wt=%!|k7YBeBY7XF1@Y)C8f!zKoWv>MbAnAa%Z>$4>Mrg09$)qnAw%+>d0sH5`ROVD>SfsYT($4!?4Y|);bN!)dNz_?_A!x0eRFo!U04%lZ9L? zGYt&$q;V0T9Vl*2TXzlcUOWXb>%A2vAmi-i?F|F&4Jro4%K|miMp|)~opGMHtJPqK zKfn9X)D}x#7gZW}KRBrl3&XxX-`6X4up$E-JT}2%0 z0HxHzMO+))o@%Y-1YJ}WcodU`-E2Q}H&{-vB48?bWxzDh{lg(V=SW+EgE2u?lRTDw1yIiEYE$glI-9go z7GBx&t$%Qkq#2mYjDl{)BI_W&dc_UD@P`L%3`|U99^pWg?sp28=xP0wctI+Zd)t$o z0YIq9yDA(U9JWL#sPH=3u>0GSVF9oWaH8sZLdy`50_?7%Ie7$kbgb5}0?PXx*i*Kw z;&cP*#na)eqVe%@$}?mxiil)x(+8h5%R|9cjfIHO{ENF{=91jRI2qaB)y{6VF}6E- zlDLFJD8(9|21EDd;x#8kNJ*@^b(#ut7l-R7w{>a&vP#x&C{1k<~SXlB~$V@b9-r z8^eK$y%>EP$#qTFN7ZT&1;PhrDcH7Gf7bEd;~N{Ki+B)%JRT_4-N3E3^tlC&A5_Sh zIb1r=+8E##OdK3u-$lS(yV;y>Se}E%Rt2Qb`4$f%u)KRfK%hJm6yvsuaW+U<(~8h% z5HdCfcO?YzrYyJpPyG(INm6+Kns(YX%F)H80C%%PU=tyK1LxW9>=NMHu>Hm6Tm;+T zwV54n@ml$YrW5h~@@&dbkKs3He%}$+1Q}USLxaHW)n=CFE{H?U-KOtHaXGH6t{Pt) z1EFNba>n(mq0GtA%1cyKRFh2QdLi9Ai)a!681hj|09j1LCef?An4f9;B#;QUXc`0E zNHZ#eQjid6@u87vuupt8v)YOlzW28tEr0r-Ru{MLe_t6+^E3jK_#dqX==>O=*DGMw zSU~}WRlZh2h$KKi0;}~yeZ8BfwRKt70+%d1g3-xhsR1fex(?vA9{VF4^wM6yTELm! zbqN+Li{FiZE~SGYfIV0X>fc-A@M*-pZ;ur@01v%+c&-kUq&J?LeiL|<`>uJdzJJ>$ zs#~}9C_i)>NdW5Q0M^F$o}OIw5;eRTrsRKNJ1QcmIZ?gtM=8<6{4sHX?-8#BB;u3M ztw8R{<}d`<5Su=ui`m2!pP}o(n)w zNzmF<+Ppj(nwoTL8_cRRq;tSt9z61a_lK=Pz_WP^uqn_m9H(uR%&q?!=wr}gbR$DT zI;%|wXferAI;CV}%;liLYY(L!0)|zWI#r3Nkia62ENruP4u`2%7*GM^gc>~>TmQBT z9fwk2WT!V6?03*>{Q?S8bx0NXp5d0H10bDGH=S+ozX5R|&@$K|5}G%c2#KC318hVR z8W44>dlL>eoKkT_9v#`28MIP7;JU5NNXimEu9Ns8F;)T!A?j2fPivz%+D%0$e@wzs=&(h>hS=+kpvA9?8aU{ znoB2aiA@{v0y`Vn2+0K}5(r+H7=h@OJJN-NG{vI&_HI3n`u`%?;!x7 zJ%FOKigJg#1@KH`fS{nFp1h38nQUP;N*BusgTIH!Bxn&=B3}qhEL|6u znqIKk1kmfeh;={Ui1-2Zi$zQcY)rA9{kq*qb`uT@3<}BvN1g2jXnUY-fA8O`muZjg zILO6T)4PEUJC4OAqM($05c9sy1`Ab$n_G?VpF2;QPe49;29b7Q2#k(>-&yN08}RU?ALeBMgo;U z*H{HM_YC6-7>^zRG4{{tnK=MF+8Qq*GVr;|wUVv>Zx+DRdZ9@}b1HXS>h;0WNMk*L z1bd34wzEs^LL$R@S{y+x)X@7ZVFGm>_*mW>*Z#D$bacoxUPnkk+O%Km!9_^DKp+8v zkJ}GbsMDjh6NAIxlbdz=9w2$Gj+ealX!?=3<^uv!FvM+xv0nuRwZUlKCiz__OH^>@&HiXCYTU=nMX)?v~fqP-tkf2p!6h$;)*Y7Z*drsvOpO@D_xZ!NZ5x^9|&x)wQ)8 zwZ4ijxa+fX^h!brIsrqpp)|6ioBr0@bb98@WiL#Dzo_YlNSjF=S1;{3QtuD^PqgjZ z2-5jE{IBDYk8sPHh3{j69NiP!WA(NEkx+6mL9_}eY`p-@+Mn;~1ZCKZR$ygb^`bxy zAp%%K$^j>CogOL3UcMmb&*qDAN!oz{L57T@sF0GE7g9hDAi7AG1Ra9*Z8+&YmO`FmZ^87~St#4e!fDc$7=G(ocdKeTN z8LrnkEyb0H(?icyhykDKnC6EpR-g2{qSd(x`r=M5Q2C;8^*@f1{NEQY0!#+8p5_Xt z7Nr2IT~k4y)#NKhNet{Lh?JaNA;nkMZ(ulh?V7 zGUB2C>c2s*tKYEzN=E|oj5gRdiQ-TsR{=EUmmA&P#);AeL{rff4(XJglL z^n$5aor7!lX=9l4^*hAYRd9da_hk(huTh7qdY;t#0HSoN)Aq3^4ddlx>N zC$%h@g94`zHHZl8F71ItRE_zo9EY{~95pn*6EY-qG&skw0--vq*6T*}*9$W|lfHfN zTtYhIOlTc1Q8A)0;3-d3<)ia`2m*HtoAeH>-uG+ok>xGeB=??cQb36T(;U#jj!E;UO*Wjv`E%dx08ldrib1Sv9y8opS&4wtdnW zC%%89HC@4!eEX{`LO-QbM$}`_GZB`_KYB2`SVXs!omp;dXwgNepdP&d2Wd!FzjJ5$ zCwT9?N(tf10(o>3o54mq)yS~z;Th+gbPorc6iQLPR^O&Zj)Q~0FUozaKWCMr7jmm9 z_(mzLi&Qlh`)c~f+IlL#Ur*wBbCkq4p=Um8W*J7WZ2I|SQ_1~bBzM1oByW|XA^F!& ziK9EtZr12Stx8m%#9D#h2n03swiEYxUb-!ZGwC(V# zgXHcgNaAzHFv;MQRY&fL3N~)tpWM2vRuemL9}R^;-N9ssQM#*mHXocy8Sd63i_i7@ z_=MO36po(~@&<##@qClgvQ;+h<>?URNJaqAv&bLLAy+}LCJ2NIhH!>o|}hzga;!&bU( zI>&0r(le~)*t1S}Au?|lxZ`Rj8Hb*tKyi$qe$vCt;x(qSHmv+SGe)F+5@s)At{U*N zy#5gGjO*a{1d1Gx)k^)kE0f$)e*NdogGqKR&r*|8^^&Mgk0FewEBb$Vz2U6FbLuw7 zPbAD%4@^`K)yE7&rE=L*2oKdwzV`R@z-r2a$pH zwO-#OhQ_s9frG`2kHNuV+D)f_XM|5Gi$DL3Y9FpVv}GJAomv6%AVZN~nIXQoFo z&qXHBruR_FfcH{OACkbgzCJAFtjw`k45otrhpzXIr}F>*$B)cxGLId}o<~MTvN9@U zlSuX~6e>hgI7YT?*@Uc=Er;w)l96m>hf;kXmtLRm_w)PXcf0lO_Im5M&NW96Lqg`1xeF%BbfL1IKBDyrK)y_gveUcLe#%?s1`TQNW7=H^v1h30Q>fibvlv*tOpO~_iI1ACK^lV@Bn8*A}{}*tXBTvYAJU}sGol*(;HT9=YF+Z zdE?RZKMlg4jjFR>XFnOlNfN}VLk6q~kYk9J3;<7P0wkOp#^khG*qYyI*^InSI#|jy zA-82?>gH49e{uKcnfX`wvIng^0bD7I@rDzJPkM?M+bEAOMbi5IBn3q~FnA%52ZWT* zc4gyc9ZQ9}VS>fUJ2W0I*B4>nqcg_Z8 z?e1`s1eLQgq?5aqyE|U|eGq(alSlNki}#&htRn?WPtW?USm_W+f10$*75#Lwv(Pqw z=MDCVt3;>Df5(*QwU>jZf1EqRo-tp4$8eCwYK>XLtKg4+*^9@$FI=(aWi7cb{Kbrg zo<0N$EgN7klcbyz)P83SD%N9nuAz+ZCQ!K70*&#>K0kjhSjz|I4m6l8T|otBnh0Oh z7c_gqW;C|>zAOEjam?YXu8q98Oaf&C+MTO}GoUDYj`?INd-G1QN9EA&r|CbJ_RH(} zKW$u5Bpd(UQgH5mo#xsl-;}^=V-?|7eB<0pXS7rkaOrIa?%)m{A!vAuh z-mI69mY^af?RpjwkxF5eB_1F0gIyjsY51xXv$ea|t->Uugl9z>_+3}1ew#cjE4w(0 zNuaBx_aFm*$-C--U!dCtj3@Z>w2KqUR)|&d0ilOp@?u|7MV_5*A@2r3V6C=HD6>pd z32ndotA$Ea^%Ud(M$Y38eSPXyR-DlL;K255Te1J>)}{{girB?@Nz9P9165FkOe~)^ zygIwJv%9+u8lE1lSo2tUR1Je^2JA6UrS^W7B%JgruYY^qbCJBy&E!_XB*1WZD4<)8 z0PE}-8dLc_BU&)>hB8*tT7vDmykFQ*+{kEjrSG|uy0kD@R$ zYAdJwCj9FA6-d5#7(QaB7aa*FlUyTkRq> zfi==(e*v7sE_bE2;dcy0H|x3!mn>WN6IC0`xpDC1)<$x2(d|pqwP(?}rD8?;1t&CT_eiT`Jfnkok~0 z_kAR3b?~v{*P*c0D9&Jw+Ag#}*Z(4vWRSE?hQ?)d9? zC6N$WJ(8d!#6>d8D7oV=-^8piy%72D8e-fIFCK^4bE1?Mer;&Wzr(P&B;J*D>-&Z$ zRD_Z=6kjn&t&?=|f4q00;o-mg_LxRl!H2%zU}1(1^(%r?lmf-Wq$!8X2^Tk74@X8N z{OO!El}Wvank^$QCA7JNzu122LV?6?a?7yzx$FO~LSQXU6y=Cn! zD8bUb_+k}G{XQwd6+4T12g0S%=EI8~{uHT~A^YLtE6vxGW9S6?BP_tb0D@1#5q31X_g6W?1dt zEv2^8@_pj)gRs1cZmBFGsrq?iQ`J)9nT(4n`)HYa{5Y2%bV)rFW_?chnUUMSHO1^Y z+ok;pno%wUHu({p|NA=6Ua{9#qFV9ZpLjz$dlE&Aa>aX4gt?3oBTW@0vN7I0cx8;o zBRIc7Y;#p$_Go({wnDILE};}Pfxk>_)sV2^t6?Q#(`-_d;Q5wpIz!9^d*=^B;49QN zN=Mp94wtv)>&JrHMa@#q@&^j)3WZhDM&u6XKH?;~_61-$pwmLJSPIZL6WiM_>9+^$ zF4F+DH@mtT2IxskS6A0M=EMbMWjt_blu?3jx@Bx^%mFjq6u<#ojc_Fn(Gml`US3i0 zC^3ClOy zHzFZ=$iV@i(+Y=I#jFk|k*E5EEE z*BG>4OJR@^i-$R}$*eW_!@YbE$ppi;9ezD>Zu8JN&EJm=4|{M`@u8w&1?QfX_% zkO(WjIIw}R$*MS`5lIxVgJZ$al5qr|pXU_(Uw%}z4 zP-%$Y`)&a`nbP;W+dDg309&(MS768&=j9~=c(4^v8X7dZ==K$Lbt1q0?^wXU9Hsn0 z82mIWtQFCzf?m9n6P=-O{|UfoU*MW%QtBES-0IGZi_!)Z=M&oBF8&kQ);>OwEIRa&x?eZ<6aaq1r>lMdim$VNrDG&3j8a06` zAj%{QTtGcG9$c8M7rB0#BuGphhh@nhozirthA^mSK*u|1xP<1#WGkQlp8m z8Ig_x$-s2koK4Ef;MrcYYzN%)NT8gZ6#N0(ee1(AHGA8VF*V?1-(SL|{bt`rD>D4K zH&`=2e`Ck8qMvCu#1H8xhgo?py-*had!_yD&7lHbA9s>#7>+>6z!#_lW@T8x$gE1F zn9NbQFU=Dw3(?c$3)C|wQ71B!qKNtYwsC{ULvtSBNR!$tM;ise0Yf4fm*U?e&yk`t zf9~a%E-iJ7HqlWy?`&K&7q7z(+3 zj#8JNe1-8hQSV#1TnXf3krZU-U28*~JOqXt6X6=gu5g@7k|swFQ~Ol1yyH>PELd29 z%?n?y1j%gi{nv=icZly{W^`(51hChaH{Da`0R3)*rEu%#+Lxs*Kx);%7$5H}4Lu5; zKlGN~ckq_cOD$ZVPgt){*moU?YnoZG^>sliQ<47H;VWzVK%r51uRh4psb!RqaBA-T zcJhuVzLon%uKd0t?^VTuo>Rt+oSic}RcEjET}wZkm`aAdqsOGeVw-%M&o72FZm~)? zl)u)faUC`BrL1Z4Vm0xNJKHBPE)K;<=@)I;znZOnHZ$d@>DsWLcvl-Dm!=VAmt%LC zvYl0`PBpk($Cc35nVT=;1RsOy2g5(YC|#aGu4}jo`j@sjJ?~fpevcZYWt5bZ&8?cf zlsA$UjFVs>?pvBYe9)wbY7|laG2GY#f~$ty7ujk|_C1uVRm zy49m2t22cQR(Wm=oP)U{4hcOa(;^HgWbPwTsl3IN$Wx@wOSw(i$`k-=zAuKTO?4wI_~ZvxkyM1h7%Ux`HR52jHt^)cZukN zV|l~yH1+Z2L4kvqIUANcVe=V$>+QTp-Gu0ufU#NiJNFm|iyBPRi!TTJ`>&RYLv$Kk zE*L`7P{_>A<_ZIzz72*P9tvTcfZiI#rFljIyj}RIE(?PYE&;#y63ymeNf-oHCIdjMXrSN|CZFK!UFgOkyyL-X?G_W6$fUrGRv zKSrj6^x3g7&aTj|r>6YwL~I^kRL@RKz8W6J6#iA>n>Rl>L@WB4?$kAoFzX0!ltE~= zG0xH#zbI@!)v(wF@6E-EF6-+k3X~83%=kqEgR?T{|C)9^7{i+_)X8a-=w+OpYl%+0 zXXYD;y)*229@RD~&Y>`g4qjEP8H=A*@FX@(Vw#yDiw++ z^);7P>&vL?Mcoc6;uGGMlnO;T1=W-m%a;%=lt~19M7>7cx=_(MAj!A*kU^mTo^B1j z;U`Z${~uFyO47GwgYN3`h(FTle{KC-LilPOErFggtCGJ3UAmli(NA?U6av=)tEu7D z7cbb)7!w&5cJa!UNVzHSMGjv6n@SFppBcr0X-f9(y$un$B@ibW7Hxt2NU(+-LVpJ! zqBqSK!a$A7`Z}4~fZ36XctWkRdro`J8V3Do?Bx`UvXxclaw@QHt2&|(K?cA3POp0O z`RZ0~qUF#4pR4oG^e99e?5>V#uZ1(1@+*x6vB;>ot5n*>#%(;x&i?i0_PhqG>>axE zcVBV~2yien2Zo2!OGt(o>zlVw6h$6aEPD2Z^y?T>$NPV_nR$s zM$PTJ{4G1&Y-bGS!EbMozKq(S&`>szqvfBW(upQ+$HGLpKl|-7C2IC7hMJ7gEwJIC z(xaAN*L?Ba$}nYPCp_bb`y`u_6i~CVS8qXJK)zX*xwoV!kFl;%(KMrV|K$(Tvp;^Y z#Yf4T%}+O!&^ljtP-pfuPOK>X)*Ut(Q{D0*_R#O8r}pzm;r9(O(Mcx_qpmg1dI~;r zGwhGe9{NViTw+M@u53d@&?NkQQgQ_*~9AdbU2HKxOVY-8efEZ+1 zm$bE2z*uTl<5GA#GBh-l&q7z1lN5;4FfS;B*r7#Nm(*E@;ui_PHp{8;i*us;VMjR5Y zilh6QoF}XJulERkoGo-SpfBwmtQg+;q)?2vxiy%omz>Q1n{cJ_Tg#sQV(9@UE$s%w zR8MI0pq^yLz3-QHlCvch+&41tdI*}WTz`}DUPhm2-#!eqNGIUPAnST@{Z)P4LJ-UP z39-9mMcBUU*FS5C5$UV6R52-Ew^J24n0^rFUg>vX(AFVfx!@-xCE-JDL zgd3Gw%;V9{VUjI3tXV$9$cyPxgf7alUnubN&mbN88WhUS8ZV`qz)8|DU_TcN(!Vt6 zq@n3xh#}RZtEsFE&d)y!?Nr>~ZONGQbjw`n{2+Au z}TFmrg<8#1b3stLMy?Ry8gf})zGnRKXtFSec0jlhAvD1cFMRe|- zZtbfdQd3Byv4>9riH1F3OkEOFw;AU9t)R8P7OQA-8{8dGZ^XpKJ%-jM3)(d#nWDfx znlGaz_Vk1G{ftN-W%cO&u->yaj_^t?v~>3i@xrn)ekyJY zb<6Wny6!M^t3OJv`Sv;`S~+On__D6MFMEHNxBO#HlGewUu3TX#T?U{g6k4IeHc*w) zriofasHlN}W0Z&r1r9;S=;@d*7}EWFAOco_XlaHytt)6YAjq;TRUE) z#|S7>_FUnsSFgrFl2e3JbNWoH{cIQF*2b; zP&bYOtuN#Zo^l)+i%o{o3$UT$wrhDhgGtw%O2CjDW_0A`QGuyD}gV$HAT)|b9RT%Mr)INq(`kHCJ#?)}@UGv;CElh%2xobyV z$32p3j1S{eM#GQViGX|P0tS54iG)6p%LBU#HUYd^i9yNf`Wur_>Z{50H=wmDYLiv!<}Af zYkPZRmwM60gA-t>rBis1Jj%gd^HWZAZW<5oe$P`}KVFc)R+Te>T8`QU)KkL&(le$l^ba!@&FqIfz=0s)%&DREr?K=9D z21bqe`wQ`^5iR8D;(u2&+)b^Q>n#YDc3OOIcuX^;o`2*i=F25-gsHxps42pN zX39xEGfB+)1Q;74Ua{NvBypL&?3|o5b5=m|O$}y{l>eNZ9L=gxkaa)%(J-911>1%h z2kmI#H4U5go~kNL1e17>$YQ+J<`~JeG@b`_n5=y=>NE;NSl&jmZMk)LYh47jawUFk zH{w3~g_Oxz{vQL}5utXvE=i3n7f#c8_K;>Jt@$!Fhx#bqGNrV7`C0)mq9g)PD2*fu zO1e$SV67hxon0z2Bn?*?t+aALtj=YPv{ZeEv%yqVB0sH)N=zzFK(}1ITnTNh?%HXg z$pcW%Z+)ws2~&IlB?6B1oQiW?AJ-AcN_K~mQd5OU?Qh+(0<8=QCFQvyVj2K9l9U4c zpP^w^iQoRB>iq^p9z zTlWbZP4OG!CT7^l)!U%qS@o^>@#6=$stVz20tew-HHus$$qaQc^Y>3E=(-_+oo(jf zKHF(-?$I4(HdaR$_yvvi)unaON0+XC_%pikb?<; zd50+kT1JGn0?lQE9B3Y$Xvrb~4$yVS2Ht$?0S^T<&hA!F(3ySO0pEh^9BeC04`mT$ zW>N1ategE^XST&cl4kt{?Zg%VUy_@SjPLkU1gF?8_S&2<5~;+rCct@>pt60il_d=?ee0X!1_q;dD>&upM-2gL2& zm<(7F8AGaju`!hMBQ@0F;?5W;xcT{66@ZTUIm_Q&XCk6v7m^5tr`Q2_B8Az#i_k|E zW>wVtmgwaWfy!(2)0xhNJMY`ut>HKhqCuba2_zZghC3GK8Qt%(8n@43aEDhO3~WPk zdGV4Fv^&dE^=~DRPN?kS8jY@y5chkgAAbcS!DfhP*2-VM{(_23dD2p8AhSWNc9kk~ zdG4d(69Wd7K^6m!W@p`=!`G??i;FaYO$FpaHL$W3@VG(3Gi=zGs|51Ehz6qy^xCD8 zmeAs z12+i}tpX5&>N)7>=!`fNBXVcB1>I>H;5)+3gk)ieh>62>OkocVALaY(WBHc(O&rYJ z>Mfd-!=f=h7iUnm7DfAE^5`wKpU`QeIK zg87rU8vLiBH`ktgID?kA{(D!mK`&Q!+^46PNG!qL&NamR0W%TED;}J&lEDK77B0#wNeK zoEmY-exGR)9YW54Sk4s}6{W%_BByS@=jqvosDv^13s!~@BrvhyHUKP_badXs2xwtC z^({I7Vv-0dxFpp~R~IP_!nePyuSY;PpLE$ADJdaXOL%Dc%a<`Kp9Z7|UIIzQz8NwT33w z^QxHUXXWXd*-;A3huu~^w23G5lUcOcQ!d$FpjOQ-hbSw!iq7swU`L<97foc^hnO{n z5SyDfRp)Xv+HvmK-b+VGjfK=;8M?stV<8 z$YIAj*M%ML?gBwIVm^&gf4H^<6OP6;7xAxVsf330(L@TMtm14LVTA{%JqxDA#GBhW zdiScLTZX4uJZU4?1UyqBz7a0{Le-O6u?JoV7c|Dn3pcvz!GqU3$pc5;!0MXazdBwP z1)xEipcah49H`k*fq;JibgJ2~r)*)t`sK@)0XW=+j)B2RsA2|yRDp5C4USZyyQbin z_5fFn1+31h*gPa3ugVGW<^bUJ44q5ng}MM5(%aB8faToG`3UAj7`eV}EEKAMd^K)(xnEG~&nLA!OrLlaO@P!<{9y zMe`Rp2r+mZ60)N63qkhBN?#z0W6^$C5iVQLcKI=pJAgxobpSFd$Sw>D{(xYY@SdEk zMZMM2XU?d_+xx?*6FD=aSn_mULKLr2bMJ5Gc2=9*OQAo8B^Bq@y)RNfZXqEf8#W<0 z1NKwEMCIl|y;kU6v%bDA<}|`5WSVW_sU?yK?KlaN5a6-5Y8dmV==!^J(+?_F8AAX% zs(XTiz7E!ZEd{M5t9bQ!0Fa~>tDo}o=%h6hZ{~sYT3kYb;?UDkNbZmWX3nsIu=TvL!#T-%YKHoabiLl)L zTwWyV3OTVw?4IjnRSO6-9q*vAY;_iqN`H?kEgavxduIcA|JnWQkRAX%rZqUEPJ1rF zX)~}`GhzS0c{{t`J~4vVpbg6T_38gq*e$BE<3i z`*+JPUH3qBa}wsF@d6sg<|}X8tDdI;-J)Wb=kq)Q#MkljbZgQZC^zabNGVFG_UJx}T=>NF$b=H{ba%B&M^csch%q zU2K1A^?k9TUQ4&3y~J${o^#o1y2|3WF?KF&6GrwrBL~~X_r2|MQMKLy^bHM)V%^Sb zP^%+OqP-LP3vbhfO#(qqP6|Gz_C6KL|1F&$+?)N6&?itvA^rz(5NE=1C7qn%I)(%o z;(pq>ROg2@d3tAmrg!_sZBMWZSRHfJPro46dw{9LpiTz^Q~ND%px?XfXVh8QwjNi(>9-Dtok}IFj^FEmP$Q^#>G^oIE^_Ma^q^URJ}ekvp=_5DkQoWnZ?Pmo4 z)(~yV(PNIK2=6^%M?==wkrLBWp;R2_$S#AV;&n2$YuS)EeVE}_+8%Y|_Jpfy6)eqc z3%~eBp8orIbU;yN0@fV;;nopA#L*vm+R*TJMeKbFcm-p;ei0U+1X6VAGI~s> zkcJ#n_S$EalsLd)*baLt4J-uY)uO!2@~svosOFOw$eD8J*#$G22sT3XZy%H3)*oQ- z&!yd)Zb_E3_kd$DMv4r(OLmd>Vd(qBf0-!sW)iR7AuHjg$>ASifq$wcp=4-rsKLf` z5fu916YIUg!7QI$bV!53FQ zs4a&C^oLoRpKXUk9{$9sj6pkRXOEa<{-RUwFEjrYMqS7IikIYe?yZ1aTG!m0*@q}8 zyMLF#LTzEQ*pm#Kv?2r|IMm3&Wpb^>P*f-*)D-Ff|9})E*c@g-hcs^C<>V2cF=W@{ zW3SkHC~r2hN!k9p2#gmJWR^j8L`xk1VnewMeE!oOCpL*?IE;E^fk6$rDKa51Ib;~W z5=Wes^&^*88@XMNb3OhInN09w$qNbftnY!AWgR7h@}R2+Ugg5zDR0Uc17QoA^)MVWz30ql(zHATkkp@$S># zl}idIh1rc4C}i+CiFFA$ZyX8`*nG=0*`f_%36KpeMlo28zq(ZaW0E8K18YkX_t9@9 zl-LbNmoOAvYnx5_(90=;a-EweTzC!(i{*KZ^J2)_Qyb)!Q|hORn1^dPEQkWRQIUZ= zSkxbeq~hDC#yBP}XR$F&$Gr78ToKV}ZoFA^VBOQO$?(9yJ*%FRfu~l-*obGH+-0g+kQ#{BF&z1l&g+_n6f?lQFWoT1OBivS7D&=2Z6){jRy5KusDq%46!b9YZ zW`LVaP;eBttZ$*5lyq&n&-B{-yDXdXYDOP@s(qPCwN_NQ@K@5wAdAe)#@9VG*}CGFKJxE;%Pa9bE5AW;{2hV{ zbS0n^pr#H?O=V3ze~(fkd0~QG!sqcTmfv68rYf_RzxknNMbhO>a}>MBeh}u?@tv^3 z-u=daIwoDvn2Eyr!dl}-1C>9V;v83k5^JmMHQ3iixbY%R zmpvK9e&P)o=k>#Vyg>4!UmLuST6T<9D^7jA{0d`p6;J;8gZ_sL_NH1ngz_AUj>bX0 z0hWn>{ZK-G;Xx_+_2E`Eb;_ePj~kBYe3HK_vwc4O8frSj~_o~ z?+y=p2Aw3QW}JFV=00S&ROr@IswTZM-(f%BNwZ+u!`vVGb)jv#F(*6Mv=#?_jdo4K z(e_Si1>gAOooxtz+4I{R|Q9haSP zNtrqZZIY#%4}9`Hp61uQ{kKo>NrJb6S%Lr%npUvM>OziFxFEiS55vUwGjkVPE-Rc$ z;^Df}QmpHknf@Ymw3vmouQw?BY_ZT2Ev+I>Hfz6&DrS6QI;}^AJ*r$?iv8W!vdL&G z3()DNsNQt7g5H72YRl(dudCuHf`1TRlHi&7z{M^hsQR}2nT{*z{kP(o*>MJM7yr>L#^sAaLw)-9^ z-HPN<&zR3vz`w?J@AsB?GTgWaKxQkH?d6~XIrwR|*g6Lr7`elbp3R$XjZ#YPle-kk z%L3_CXM{uvLw;k$bnUmscp9Ymqx-z_0UgGX5+-x>ht?*9n3a< zFI%*|{TGtzhE|GJy}HaZjEs5-vaS&cn}eb;vZqI9q(HB&1oQjN7Jc*Z=;<|2u=X8z z43_bhX6db=nJV9gw~u}XqIn>o<*Z%lZ2;oH!1-A1h9_)2?a8s>sJkbg;(IWM$vW2Q z3Rw-EXtqMx5Pst$YYx-uyJp&BwXiIK+aA2E(eg`W) zH#I>JL|YlUC*ep@;+L>}qt+IVj*PlnsnVnW33{Ol@W3N=&6lz|xba^c@*b=Nvo>E6 zyE`7_m8^c~ArgF3Zy*T^~m9a?`hORN8FI1KDb1UQ$~>b^b@! z3a)zshj%_JQ)$Lwig!U{4L0e ziKclAh5s6`N-SO;_3Pm+>l9k;ZyRLcz}(1nD@LMjpl|5?xeqSzn>?158jRKwJ_Ocr zMD7&yA(rapaIj2VmS{86H)joM^$QNau77}PBr_!~^yBKSI!d3o6xSLwTL#`3m6wvU zSM2EH>Ss><^KQ{fosw%aS=Bv8pU;`T!e`H4Ncz38b=!=RwM5u+LmhdCD&w<@njyLZ zi~N7T6WaVLkok8jJ7;MY9pjkjgHDb=Yh02TizNjH3t2#4XQ~1U;KKjOWT^?5<&TRZ5>BHO4I>LJ9py2&6MW zIs}r@fpHkfe18xU5`yH$KyMTR06p|5NZHJ!_&^4faSn87@PCmKLrayB^w zHYly7;RwtKEkt_=WB?MR5C1?1x?jI`*W-Q)E&=f{$R*O#)71x!svRF3E+it&NCQR-)MLu9(LkQZ2^8|N z;K(8?T`UrS0sce}fDWb_?$;WiMIm2cVq$`}scmeG0TdVcWb(&1gExc&WyubZWfwRS zTkss}Sy@>R;7qnKY{15}!go0ORjM&3hx;$mamP1-;wYWPEGG`!x6g*&K!=;W^TWd{ zz`tYW+EOv6xN@0SjmyVYVCi37n+JP)I2LkPoW6hgk}ai(LW1caDq&CGv0LFmrip8m zeWa+NAAm?AM)Ls4S-2d*&K3Ob?OP}8#`<~>5K`vfYgT7xbzfn$h9KymNIzc|;&Sxl z0O24S1q{FM^VF1=r6e$y*IkZ)in?fjp1u+6HC=H{U^u=FP@!c!=m7*-F7W-F^_*m28RDwo!%K|Na}GhPc^pA1m{x&~SjU22oj9rtI+uw!R2>vQDZDjhdR;YQKxC zD{>YrjFIrZG>juH*l;sraH35|K>)TqQ{36!1`Ik_&I06gK*eU2mk$(3`5$c^pH5n_ z!Ul&pfKB^}g@|;W-`7+d2slAf-1+{%50U&8tXD&Q{p|X>(9d;9Rs%i9lR<~wy}i+* zEdU3z4+sef4**_iku?smb9aw|G1NLXW<>WFNnQpBfg*b=CrXjlv8u9ixac+^4Jc0f^4P*g4 zW);|%M><}=eqHW3%!|b^h*}Df{)GT5pl}iRasZCa-CF|HD-IZyA`2Tx;d^CKmrYp< zXBdr_-7t2BQ+^p7;gXeoRba*rfmfYAfBsX!syJ{S(0Ce#!qLSeXmFSpW$Bqkfow(9 z&Mr?5$vA)C(ZMY%%M1rxwt!z+b?GmdKRbJSOZBk;gaZORGT?*YhIMz;M#dy0C8aR1 zn*3Bq*KW0FDbUD*#$@!Xn=uLG01BE+4aFa8M~CmSgV;NOc70#Owwf9V&Ny8TMyb z=N>Om)6<_J{R>ZLmE|+EpYyR-6=~R%JQpMQSOH%Jpw=6v=``^5f#vln zbk*e(HEvI5Y)ni{3Nc!~+h3oJrJLHkT?CLw=cV4HQFV1?ccN&x-vEMR0r=$n@HeFK zcx8#6tqMD~LM2hdWK>MSI0nHjL9#`cfn{ArvXmmE5SiHV@Y3{UXuC5=J-&%qc1Ls!*$Za@Q-ZGETcg%tSkZ`s=7 zp^z9W03v1Ny z%SCBRX{~L+kVQH~$Si;$BIE#dEXKgQAlt0kNj(=H53F7Mq`!XtY#kprwtui9ukXlg zNO)$U;-z0)LI*6>LVihbmNq)Lc64YgxQZRG_wXK|bBH+y$o#q0)go)!XWPmu7^M7Z z)q(uPvv3&t>9<({`=9TrEs-n@p>(OLY4w}@AMV}nt8=)NpY;)TSP1AcD^cfy-L)OC zK`B38EVC;b#Hy}a6sbB-;EA@*%y78ZZ#_{*17>{MlPmT^Sc9hYW8@HZ&6kj*(&E=K zQ*Moq9H@=3LHI!Lh`sf*sBuY_vw(!4G<0}!r?LP4XaRsy0-SA63vO=$L-sXK;pOx;ZzWWH3#1t6UMInUv0sZ3T0FdP#QkJ_r^zedP_=6 zku4i*$+9A*uo4y?cr!$v3nx~x1>_Ji=fvQI#J$xZuq?nj&@h%>2=8hGZ;232FcNKO z_YQ!kZXO=Krh@R%TAzP0Ffi~I)dJ|41Mf~WjvP2ofjxKb90>%|g@p z+rY@0Noj>Tz+hs7Wq)-OoH_^%3_%zPI+lbN{(FG$pM{63n3<)>A!jcD9LLScd12mS zC5XG#w$D3RQAJ2ebOD5&e$E7e5MP*Lp};PChhSx8#m{-99dKwVqrp@NvDb6*g0l%= zgkmA-Xqo;m%)o5KiqHl-D?SLvatb?uRSDZhcr?KMRz{K%5_rv~8~~4Y`24ndko@eJ zckiIFjge7;gVe~E10cL0*B}^jSmH$17Xtl`tHRdzG1Kxu%#m+2{(9B7&=qoNKYsX$ zI8!}%+*V2lr&e#nE%(buQcA&UQGDMJg(OZwC~2miL)_Rr0+EBtr9nz-UdeZx06B?T zxn^eo3DuS&?}Jkj%Hbfy(k0j~OdA$}MI#0P&t})v(2NS?G)Rg^wNu=WX;X7^8@TWA zoH}47%oL|OfJJKPZNOROf7_rC5x6>#NKW{^MpR`w+S+Y!Y0M9XSjt~R_S~L8eFQtZ zj26XT!Twwqwj)KFD)?mM15C8EL6B`pJD(3pnPAz-wtfSlQwYS&70cWqd;HS8#8^fi5bWCUaVAe2Q87sY`D5Fv-gPt>||AQ}?b2&_S$ zFLV3LV~3dz*dQSLq>snH63#XqLluGV1y+LXTPPn}fco2*ZCFvn&1<8@9iE<^qaDcZ z+=1FeoDmqPyw#Qvf_LQb0CoglTgQmVNCrnp2L$+_TTt8*S%Tj}Scc&utZ$z)X14Z6 z4h1gh@FjvPg)asN-R*Y%)r?j7zfjDey`7z%yJ2HCS>5RSpOUjI+D{(xs4nFsCMH_$ z6&$OYYhfPehKafq1JM#cWW>$Qt%inEHGJ>hJ-3v)1K;NR{Ctig12uK?!ks!fH^>OO zbi={HA$dnH84bI==+H!g9(Q_1#*HEj)L|MiW75+;IU|Qi+i=gz>#JcqG{1(23XU#+ ztqO>bOQD{p#+JT>h=V1c61nxjCasox;n9y?WV{G`ma4VQnjXjTDh<#W|wt}<4+!Qx&>Cfa<`2 zA?M=mP9-W@CNO#c0aO-E{%p`~cXoC*!)K6!U*o@jbWou=nxkuDXU7XO>e@{OC&_u( zD9{QD@Hb?7N|9pWSAfQogJM<;o*AtaDTfFQw+n1aXU`Ht1TUYVd6^RyNkJ>n%jq(R z!c7}#n@8zmQ$1hi=g-4bbr{aW;_9bC9Qh2+t#wm3WdP(5If4|*Pek1c_iTc1-|IiO zC$B1)M@ETypfm${LnMw`Yo*8=CahtTJ4hHRmS9}dBQ1poC}@iwJc@+!*wG>GdkimY zBnb+7NnR*ZuuvL~4J1WJbCQmO4vj7{G7^Unr$1ewF+wy1dJZm-N$AJ_5N6ZyBO{|+ zA)2^|g+j%tZE1P=>HhTnt2X9Tjt{KOrQ_7ko;?dZ@(Czx3`M7GoSnnrAkKUPG%-0- zAdJs~(BKY;y#l*Q_D-$>1l;(m8&kqZgrFr9BH-QnqJ~g64r>ul{(FX8Qyaw~LImkl z+VTPHP~{NsH)!Abq7d5b@JKaPRZc-cZMKA0V|=N^b~@}^J3S&z=h2nJxnv9H0s%II_guyIcAzjmBQUYh0((m2a zqhY=0KoX}~%FZLb5{xGrU_9Zz8yyx9As_^2M219JHiUcM z9dz=PNR9}An7$*B8a{vxvL29!?0KN7X-a!KWS6eL^`c1|1~EQ6GxLW;A=6gqDn~LT zaXyf2oNW9}uowq(&=I!H`KUt>G8{k`E`>o7J5_Qj;4PqKPeU7*n6$w9rq%)Lgy_&4 zpz8;3KeU8e_0^Ce1}1t*)@@kKA^7BZXh_HwRE6}#TX0GXHCt^>&0@yGAIuP!{S`*u zJR+rH3s{IZE_x86>55i5{CdiNwi&M!4Iy58S3a2-4MLX{`~=~8cR(k)3Hm>02L!uN z+k*I2%p{VOS`%CPa_v6ZX@M`QH@0&rw$2@2_O|x zNL{+wUs+RwH1FBoon}DEAUz=+%M29y$f@2f7|yI0QnN5Ry<?_;4@>C|=!$L189!cXLB5Xj?5HTsBRiS~}2?>!;J3sz%HT<|Bd0K>{ zYWD5xZfd;?u1+Lj7l1kFoLc+)slaeDc-|kJv!E;TSQ`_DA7{h7f)g&R>vs0qsFbWA zJ+#093rjRK$7+QbBcdo=edLj6hc|m!^&Dpji?nd1I>;qx?>h>H*T1VGMGEG`aOt5!YHp5e5LY*YBtA zav_@rl+!T@2}H2Of_ut&o!*22!M(Xup3H(2W#Nh-7_;E;fQw+ppk`qy-l@;b%uIzH z>?4W+J*>nu$$R|0b(o~3YwwiG*xT3y!|526V-6?x98RKYPefs{QXl%n{?n5n+iQC)m{Oq-ga?6~(;)FNCUWHeW(Pc0i%m;|155m7 zp=x*oCyfHCb=ipQ|Dm)(2~YwcvIWq!Ad%YOH`Xzu`rrQ!B^L`NV@hAJD$@9VjE>VN&_v8)ns3zI4bn&}5Smn#R={#67BT5PQcfqYhgiXE(1 z_KVqe(Nzwq|A$Y(SP!3r)fu#TaP}KX25f#GS8}*gcw5;5u38SsrgvKV7g35lPJvzEv+PgFdlIkR;hG8`v@Xh5$$TLDp#e ze9YY!TG-=~I7o~REG~%l3-Dqj39+|kK9HPUk2i_FsU0s6k9x165Z}95mv|OW0+;uB zWmddnUiGIuQD@;UQc*+TMiCD;H-dzKUVV;H#KKA<`LNF*N7hG`zS*^TVtqH#J0Sb@ zzxU!SdJd)R|JE**mX?~X<+974!hKzQd0X*MUpKqC{9o-Te$8-2&+UKjK$0zks4t=T zM-qtPF(XIA_E=VqvDcsflYVws&M&f#arV0f^9`rfl~bqtP)Cw|1Jhj<0}F$d=(`ej zqhaDD!+tduKk(?8|Do@C^vJ2Q$YOxBevon-K2TCjT*fwkP{;Sl@3x;tKlV#Ojeqxn=K0gKIxa5Of>C`bIz8W z_WL8F!qaRws*rHkU~xd4oU2*4%C7 zvdR_^Wy>D95^G9MdO2%uMB(n)g7>)g5(fIM(=jdcfyCF{{(DMYw_x1`IF1*rnvX#+ zHJn|wCgxLunmzZN>XVq2n)RdJdyaq7=XCmvebaT6EY*M6d|5HB=OCDPzw1JUTH#36 zp1&iiQF)NhaGM?@d&>@T9W2Rv_&-*Hp3R+k z+C7bKwS8OHni6dv;@=&_@pyauV(pAKW0fEs*nii(+jd3=(xXYB-)HzIA-N`WrO7C` zqa=K_o6L4Y9P}!}JfUe!Vzd(HBzk9dSmz(ar^&lN#9oV%+`TKwo9=(+XZ^{0a(*Sd z@(Jlyl-RXK@89aPYC};OgSMfZB-&5#C`w#!?KzKlzK^Z<+M#!%D!@#d%9^Quwi|tY zpFLWMU|Xj)=3=3mh~%fz*60(Q9L*}y(wmHy&EAr3FA_4hUd5g|AQQFv^|6wP^>_hi zXJEitJ#vupVb}ORjlZc7xG{XB@JSLkO}rG0XOMXG$NW*ng0In!ndz0;if11V1fp#2 z{S{o%hTIP*cZ zgFkm>OoPgmKWno`4=HzpUMcL#gcG+FO+EPJEt=YJ_+EcVlx#(Ge5G?i;#t;L4TY%u zdkN|0W9|9^&N1<{8QES1pS1f9W>6(Om)&ZYwyLabdZj_{W-EEDccT!}td!5-I+Wf? z2~yZLV@1o~=lQu_OaHC+)%R5Ph56EzCAAC)Q>FTZu95O}HE%kijanVe34hM4&y$!V zaPI$;^0P92pQE1frrY8P5@PD~p$f}~%!yPsvu${b!i@n-{wV*~wY|TH`i&znzjnJX zrv3e%erZ3kPcQasekxNd-RG6%L6yEk%FCX_fgh-jpLgqPK9EC0mDQ_tEkN`<#v|JF z)>x`p$-+;%@(ZRbx`IB-TCRDRoXW*22uuW82i3_JYzT3|Z{XJ%nu##l?`RmBcDq7j0!NjdSPx}CCLa`-a@%|2}LAl5T+M&i5t?zWD z@L#*C)bKEkA=NtnT#n7Fm-kA3om+ZP8hOq;&2zf!&$E&6-PmJ_3YK+lF(1Yk(zT`E zkNA>qpQ|T1GIV%xBi9E*-OuFz;Y00p^OT4rzn`aXz1A(Pvmw8ICsMS8jjVqpvhFV( zN`@19Y$1s~b+7#34v)S=Cx;tv7FDz24LQnk_@kDWAcjXzf}H%W(G^G%n##^M@I7PY zzTo2J+a>6i_gfr>+M@HO{-<$Q?${4A#Ow|DktqZIG@V2?FKmw>O>N^KuV_Ci;L6a+ z+}xf7(+f3xx@I)GaTmL_loL*$4ht66ZmQ}DV(Te>qL)3EjYx@1~J9SH67ZvwYf62Re_bwAuGKhZi`=$O+ zwQq*#6z*J%oDBK4obQe3)0}&IauiuLu75>7^gGirnN!Zwm|m5US=`-KOjhld0Ki%2 z)|cWJE)wn*1}vLOo1PA|bidCI-_RqbdE9W`N7J>w$n)&E$G888H{amr zdvStTL;^Q1Q%tAyB9?Dz?2{-hZ{e$rO9FQ=L@QTDoeT?@lLf+-0+W;7np1y1`!gMj z5)x|eRp=RgKD)Z~r~75uzpYL6<2B;Cx>lDom67?xDI^?Cad4+=2}ert>}4CMlF*o|LulG-kVh~J*_0? zA5`D-y5q&qIy3f3`unWo!~@~234$B@`RVHW7ic3I^kP5R0w2gR2XS94=( zd*GG@O^QD|8+%lbdsMNZd!gzImh44dne0Sa4oKi$ zb1qb)rKJ40jAS~Lf2JINe!c0f!V$D$yd`}#mRa^Hyj@u0a;n(J58*_*4(oG6{v5rj zKV^#4yt7lAS*JD1;^KHAGaj7vQ=J62NvyM>RxUC_q35;)iIEIt$|tW;S0pV@pr z)b9T&7S;(;{@sl8$U#LuM+f4lOn^}x0G7_$8+DQbf)K#z|HIf@M`g8jZ=f$NNGPHp zA)O!45evn)!w!K!YXEb)aR(S-J_1)?WlK?~l?x!|RUCdF9UTb3 zDPUYJ;6o@TCWho&P+Z!?yz0mY2Fzq&iwgp3KY*&COvOV4yl>PU`BuxGpZSPBPfqBs z0m?jlOY{ma44E$gM#fwz>refUNkMQOif@poJjxqF`NBmSLP!YC@Y!52Eiy(1!I!ys zqzBU8Fh!*1Kw-1vrp|wo?xD_iusA#T@YSB?0r_bA)j|pidMq(;{Eg zyyJbui;0ERA|&9Mza;(*QJ+>)LyHG3rLu*n`!>D5zrSKX%$ileT|e&|KcF2D7eQ0| zA@W}ju}D>+9R{DtBB?GFk`&nQN=b!PmbvekLT=_P4EVD38fsT~mqc)u5Vg6GH!v4pPjm3_T;h%+gt2t$W*Y!x$hcHy zcs|h>#A!Ifu17YfkR+ViS8YAU9m$K?4D0T7VmBgMhB*^stq-VMj7s*Q*AXk!Z(?6X z@;FF=Ga9FR2GEhyN5+4ba!&QWygc&I9u$g0xO9u^HZs5hG#*kzd;>ne{(1*0pf4~% zmHr4qg+A7>L$LY0%NU7_PT{hE8WR~)i~;RD9^eKAY&@;V!1fP7{7A4o7=N>7+gjEQ z_X+}6K9a^Ch#*orF8214Zf=6a*F;}J=YBs!WxW!Bg*mte{;WO<5OgC@b#~h-uw}SB zD}Vfm5L!lbS5NW_u-W?lZdFuf(4~VHK#rU$tS0#V1Bp-_%H&0 zNNlL&KznZpsBUWS0SHsd_Qrt31KEp#aODXrZNRgL%eMzLssA?ghd7;_p1)W8KwfS`mrSH;+XZbLO4&&OlY1fwbZ4gjJ8Qc_ZG9diK=3#u$0g?XT; zAR7)se**AR638Nit1H4As19Be|3<{@jJ&1?=qCW}g0Vq3Bm%Tu&-e-qCmbZSJqm6# zjflq96Yk*Uo)lvsteC!Wwu%57hm|%YaU%WX6j%b?hma7AurN?HWi+6f zyX}wy93_GdAp4L-(a_K!@pdglQ-I!fs2MkQUuIF`luMhHy?3Jp-sob$SAin-x|B98 zH5FvdMMHuRMsZ{R5a3uq*Zh#p0A4__gXhjp6Sqp8C>mx2U!66lgj{7;#Z~co7|XYT z6DIb_AGFA3l!bT@*oebe0EL1h!3%Wvrt9K>e5{8$LUb(RQug{;zO1zLEX-AhEO~d2 zv&F9cREQtMQM6&lg=JGOP&4|M6{1&LishHKJCepfLadQy24 zu6nbF^o`v-cl>p5(Wqcd<&u;C;AxK8+N)RAHkZT+9X&AK3o>NQ_qk&t% zVP6MBx+`7rASEg5GJSw-Ja#J}PE!8)Cjem^1G=jP5%1vO)J{dsr-iphLK;3v`k)PEaLZ^U8^f)7$*<8bn0 z!h5JI$kom5D`eFi8-1fII`e;AfbxR6bxU5mr~N46>13`w0u(JO`sy+ZaSWyey2f~X|pY644C2h8kkZLG(`Td#4h?1(cdJ;2SeX<^nnIFb%{AHY#5S zpKS%$)@v{{Sm$nONu}NWhb4`^HIPZCVs+BXk#@rEL^rrASI!o!t9YSv?$TPjk!V}xTW zdde=1Mw15{jh|8Uo+AuH{piIOFRH0Xi_CguVomXRpxcwtm*0q*>WZgDKJ3mbMW!HcwAkbXWSz1A0Qtf%t{;gu~HL; z{%qP?nUKh2KA3&6w5&|I#ON#c05Wi}afgb@&dG__{fy6Q*gQ$7l>$VR7F#r|R*>lQ z65dct8!*GGX{WTEsx`4AvUhYuY)GI0%zl!bc!shBFdQK>$qcY!I4!ZhRQt4qLXB+c zPuDu$Gc3tsZ017$(y9#Nd+;djZl>^r6b?4VpQqCT-6P5@cRXsmX?jSnF@<1x3bt8? z1>xk;_m3M@jYYJTj=L{a=gx_$e06t?mexMD_lQsxrg!E|e6vK|bG4a1G?4MYo#@hl z`|zTl?StobFC2)Y-?s%7I;!`ImyG=xP7)y?y7%n9G;@m7V~x8hz(YVL|KkpDV=t1C zJ&nQo0CB$x?~WIG6g5@T3Z=LKI)pj#xVktLq=OR1aB#~{ZXl;#svvA#QSA;*FatQp z+jzWD2P5xW$_X$GmxArBg18qZ0tiA|4n{$6f|?W}Bp-xl@nBjU_zkLAjc&;zUI%vY z|Mk?2E7B>UO1^D}JL9=|2kfdy;JE$_2Qy?{$hPdkxp438*;`K9_?EIkB3qFnG~qX* zp0B)htbLh5I{_?22`c)@PI|VgSA4~dz3ji}e6M)?NmIagXjd&S3-chix-HL{JtyYW zOzw0#wPH-At@Ow}T*=b#z~U~ZZ*+*yv=C}|;g0uJJcA^P)*yDS#_2*8W_=Qg4xuH~ zd*;?()~{z;yeN$8FhY$Die`3pH#8q6J4FOB}8d;U&fW|l+_BKJ4s={KF9=oHa*H@8Vro8fRJVqOR1oQx!DmgpCO^#?EZ+17Rp{%)FF zNoEXcb+`;8 zQt*M3kDMXZX8AA6nAy!;lhl-vO~4O+$(`z5Mb?a*kKP;7llq5DNAAHh+q>+%`5F;T z0zGGVs4A~JQc^_8}FIuw8JXhf&`$XP2wf7~vv0jKoACnx%Ykw5ZT8$wey zu{vr+-@ttN!<^voHi1L_kl$IRpw&E@JE*o8Bj2JdBiw{7;WA|~`Fz5hcuCSS-YMUV zslhy|P)$m>tKT@O)sg+q{CqU(6m1i^|K``O3&Thd$`>Yt=VCNvWn?}=V%GR`7%q_x zA{}7)#CDq5>Wl>PO3w<`hV){5Kq9pUs%<9t{aPWCxQy>r5|9DU^CGYKeWZlJscAdtLK=wW-m#2?+ zp7B<=Cf1PnXFS_wVsjf`JLT3+& zs?}*knL?g!o#z=9(m9~}dp|WSCcKUT^SO55Nn|ps;K(sq{aZJ{!brHMP$ky(s+2eS zVr05pvX!cFK#3CJ77C_qtK30;#G&gCfA5d$_K%gQl*K8Ouc^`}Ix{{FDkeKZYx@{2 zd4ZZ4JBJKB7p%6Xuh9_$oC0RMwB}MHSQ0=*u!9sg$TgeFtguHTLJNpOPlNW|e6qTv z&*N}2ZAn$*9dC&LArQt9lOsY3PE=9DUOd0Dha^cf>X&TG6y&WkDkZ*TR?Rd3K2hqO zd(i_|^zwDIg2mN7fw^hWGsX1l~$er zB?r3U@Mjm#U3blS3R~p)$wD<2oX%9}sw)(@X{a5ZZ_jwC9@4)z6bM9Dy?pW4_OwIY9TKW9wyvrMV*2)>cbDW+ZVrrs+#UU$jDn%&pNH}Q^> z{gy@CPHZdpC}$4tmb%Psp70M*(Q%A%;_=G2KBg4*tyey!R1VZOjwWY&SXDItJy+S* zOd>;c;#7|+sa~}!pgW#lXH|1ptS9v2mFAOrhWHT->WiP<8^^};D0wxBaP82hL$8$@ zjm{gVX*flsv;@1_U2e|zY@B{BEPpsxf3<-G7RFJNFjsrq7hZlcmIv{9X?yL;QVurf zPzS4dMSzOo;8`|6q^O?z;$<6mNOSP_Wk8kl+yKk~^DR}i3AD|K`75mG3l}faWzPUv zC}BYJ+R-n7P7vPgi;)KHiY=fGUmo26Gz0N!Na(v2*^V7j4#0~s7@AQ*V5f3H1P*J#BIL4yd}nyenFXoP5Wlzuc24GrWVy5HUz`|bJX>KC?cjH<|FL; zV~cRKmH=yp932vXH4TM>vbPy1VX%Q?56pu`@Qq^Jvr>FVJWZp&nW;qTg*i*q>Sj#5 zghmB)1%>Wt%T#3G&KQT=XAZ-rT#aY`7b6%zV}+1dja%m!Ykgk&BWjHt zu}?DCi@3t$41UtIrhC7ZcX`H^a9g-^^QzPXwEdFo*L0jc&g8ZBNF~MtPqr8o9qM}Y ztSYMQ%hR$KX5u*88gIBq_q1={RReSik?$ZhT_1jsjseBsIvt(lh5C;GGJ>B5NfPfx zqpo+yP*>nwB-zC$Ca#PRFvABEnb!y>O4S|ufUAhhDTqPr09p)K7=vz`L5b|4W->rV zH$hxcm$(Pa5Fqc|)O&v7Ec*PE8UPLQdR0LH(gHr*Hjx7!)iki>5x@B3{Y|qU>Lri_^ZvH)ev=EXhpS^m#KH8LSsV3q0nqzwZ=_2D7)0 zOhntC+Mn`=$x`Ubm_1(~TJXsz5AFY1%<1d=dq=yQ0(Xh#NzPpS>8|m$)7!(6rvGbx zWw*=CD$ooxioNtr-9q6j^de`)tTsNq=ryd?UfM)6X1;@!g0x2y-EK<}-5kk%#l%Ks zhvGjjOoNHCYd2gU`IlF8=Q4<9^`k&r-v zH3{HEHcN@*E3*top8M}4xZiLIqC{0c9};Fz+Fb6)?-;pFFXWb@V3dbufRo)VKyT%wA)L?`WCq-U_C)P`yGp2{rwu80{y6?_hrYkv+J3HNc6&d2KdyE&M+Cr`A0RI$*bCyqtwM`d)Y;KyM4;=bRw z`LOoc!}&w;z@tpG>!^-3zX2>580f(Rkr%VS~uv~ z*_EhrdZ({K80#=-<_td2wo)KSI?y-M6t_<fH^61X%N!9 zE&;s%t)t^Ruav}l4=p$mX^?#l`FSzYX2aIQ_w|YAXDJ&?uX_rPO5rX99^3yyJz{B>L+(LGIsOm^ z`Y_hnC_>|-#iozCQgR}c>x*iXPWMqEZf!}bZ{GU4|islnjofa(+c z0qMX{IkiFOi4b;|mX=Ian{Waf0!H}H-mu;Z!zIrC8NcIjb;6d5YACTNf|H+p)3m6^ zTYR(8z;T!kL?hM*p(-IMOfA=0Qmd~bg zu;hzfa-Ib@jo+ktQz92mSXh6{XSs3uvp6C=1=6H$mJlX-cORzts&CG8iXVYv2BFHY zeh6R?6C=k%5aCs$DoW>)%Skd8K=8%UE;m;$Y|Vwp2N;H|Yp02UYZ-IjsnOudj~^i* zcY5g|#I{V01Y;tswWhOE9korYn9&yF(7J`TE6VaLf~Yq{tM`RyUvU2}XR|PFcpudX zZ4ML0@H>of6$vVIFjhjsJti^s(F=)qy$t(eibG_+GLCcb8ge{sJ|M>;>9o4X^zhP7 zbLrnQS`%HCH=Yy8Z_7VI6m9FB@H##at1F=bfC(2Pub1edKei=fKk4TO=ZEC`*28KfcpfP8hxPFfT2#HN^eV-!-eix_lT@lvO9~Un5LH z!rwPqEJ~u6cX(y=eDH&`xtZ79rs%`l9N{@a{}{dU(TKMnXzVp%P6IYp-K%!D7M6@I z8CxrD++jRp@0&?Di(RbN*H-?_lBeE6nyK|+Zj{cDLf3^j*~F%PbGCTuUcnK+c(MEj zmtCcvlfy?t$5Yi@k`X&oErTxg{mlGy`XkRC!{#V*0e7#?5XbhE7ng66)zy@-RvIAP z-h+h5KMh7gW;$w=iM{vLem(9N?MHnuSv0GliQ`2Peq`lXzPkKUuJgXOq;VRB@#mg3 zOuS0R@OjI^TAxFU#kR|8EW_EBrp6&^+|r-8@ZI}d_$W_pXxuw$`YXqDDKw`mUYIdj z(5DimOCuxDy=Lg~5OOQn5McxQUS+|CBkZY^4^m^e6!!yAKsc#VRS>x_qJzVr3?=1_H17wj`L^v%blL1?ZD}59cG{pAI!EGwRRJCetM)z;c+gZCDS7AtKL!D8h-^8!J zeREDBkc6YzHA{{rsG{CT^zPe=wjdMgE4RamTJ=nt^9+2+!ex7S@OTq#CIMF>l_B$G5Ix6!IxSY3t z>^VDapZ#L0x!RvI9eJi0 z`-)f7Q%Hows%cr)=&n;&*q(mD;aD*3BW?TF?ef{|38i=uHS?i%Y%HubKgDc&C3gop zvKxo`IVKiRC3z+K`25uYZi5a21ZhErmX~1}V`0K8d;^MZ^=o+Nl%SKo?wW({YXk!P_n#D?Nj-^JwD z;1&2XyYA?05i=^E^0xbF*_|=#7_rt?Ox=%uPg(!+1dDIM(E*}G38>^C1;!Wp&9S6b z2k`(Vx7<@BVz&CiKXc+=Es7)+zZ0R@acnqVyLte3Vr^8r>AxR{c5NE2p?`jK_}9Rt z^RrMJ2=jgc#4-os8CgK{)>W9;`UYJDld-DNEwMx4N_zLqz%KhQyX0qZZ|@@{vl<3D zK`?`xT4miQ*3*({{~wd#lW@Ln4JpW0zW{y?VKw4)!}6Q|=geSO1rpy zh5L0Q3JQN;8~Ev|=ZGiuLtel6LNh5S#FH#6{{~tFLlB%H^Z^Lf?hG___&=5e^{u*j z_zegx7V?n*ipX?GONjX^2l;#dA0sOXDmxiq`yarm-4X5b|9*2ZRWgivVbwRcv|u>Y z)KB85r8C4M--rAeB|=7s5O)l;dweFQEQhR=e{6>f7qe6=Kg(#pQ+ko~@sZhg#SY@W zvFHNy2Q=N!aJV7g0r<-X`Ap5=L*lbYiinRVIFy>$6fw!ukf7sngt|i(Dv*x#&2#@803@SWKr(4Q zQj_$=;;6x0{ot_!OYBJv@H9fT8prkmzkJ0g(2mY)oPek&pEvO)$9FfTalqTat_);n zHIPO3kJlib^L=S42!^~9(V4kBO_<*~VmnWN_NC#WpKpsNjBsV!8&9&Dc?$q0|AI){ z_Sm?$^L)FL1;f7~|I1QImgv;oyn=Q4f%#XLKeA?>z(s}N7T7e2Kl$CkWQ9GiySp(C zF_arF{bpcx`vsO(SX8==U6kNN{WYcw3;$aU(sbGMN{@b26QgAlB@!6gFvfb+UFIe) z%1F8Y-($Z1KVA^B{{FvTvl2J_`!pIa9QluCR?gy+rtHmHpqE_NSVl(9FpolF>)&!( z)U1GQ`sDEG6N^8J_pOF2FM1Z`IpZ2Ql<}i^-zRDCBh{C{}!Yer@CJ4lES3LKABB3z= zw;+yYF!jU*WR}G-3_8L#@N!km1>=gz8*7Qe&IDkJGaLhAn@3qnGzlYaFdIPhf(YRr z)ZdATi7?Q``u%h4614F^g}xVO8P&N6!bP1B-c|tBfw&{+yh;XG*`o~k%g7uCL~Ig3 z0O<6}*S?!329N`A^Ese|#zi64=cedHEmKOcKn11jo{<&!4DkAZ?CQq8GmtsJ-ss5! zvS0fbGizhaGSG>NCSq~^n1Lw|;T|FZ0{RHQHt1_$V|{Yt7`W136moxop$5NJ8Z%s@ zYH<(9k6+tNr1cza(LdkBJX`#t&y|w|+6QtSK#k`RbJJ?+8_aeohz=B*@q`Sv<1a0D zD>Aw%Y&1N~~zPFkR8h7qk8WF^XHp_&3a=~po}YSwy!Elui5s*dMw=o?Vi^p{DZ!Rj7?A=@ zH;8~7+a~e^q3gf{flGA^-`cW+`Ru6aaUTVY%D#XU>sD@wcK>EtM$bjyqy633E;H1O zX+zo+SR5Czi3kbNadKV&6z9U=c@Q&z-$nNfZxQV65I#_n=Tq;w&klCJ*eUKF9;v{) zKor)qJ8(y0a!$YRfo)A~ON2DAH~=uh1K5q!OAL%x;EWyr`uQc$PC#Kykm#r!HWVSM zR{C4$20`%jKUN!+RE7$2B#t|PLa7({UYKhT1z~jtIenTi=&WRYcfZ(nMhr>Tmd_vs zEk7=>i11JdwFrjwi1s|ss;j-d1r|d2BBGFm01wW(Fa$$wk6=ix(?VBmf+fh;ei$Fh zLZfd}18_GeVo|x^IOA+7ezbCPeGh2_;UQ~0r+t{CM!?&6w3>&wN5~xmIpLCpg~hl7 zj0r)H+SJ0pt z1sbf+>E3Usg>KveJ(MG z?WW`99b7osHQPimJaEMKV_*7jTf?AWcZcypT>CNDDCs@|JTdJ<{+Zg7rpAiiCOT{I zyU;p@)R*&#B0xS=gXX+>pSTnAgu!;n{AnnN5T8&PmcWo5*BRc}Oy@0>`C5#Lcs!2= zC>#Aj4}*lM!L!B%Cy*PXh2jIMB}OvJq3Vvjt2{n`+(0vn^)1Q$@h!5{`Xv~{)k_;s zO`hQYD+WFl_BDM(B8L#8bhsB_4~_*~6v+(v=+F&M@P?MG0T&~G7~DtC{rHjdgfbS~ zx?$&mi)v6zN`c*H7FIH{(B46O3>2-fk-0*MtM(wV9?*gw47+X3N)`<4&9-2{@O0=y z_=X}ID$O~+0I?xvv~q%BK9I6Pg^N%KRY0-^c8t`Od){F%0t-w?(0R8G%s4#6hd2h_ z=};J%DeF1L^V?X)$Ql!WhrPu9c+Wc0Yap1$lgWQOr8RIYPP&2t|L3*^msh{2oaw@8!Z$iuPZQn^l zUcf?3%*x2HM+um0OmgHA*Jd?bSM z^I5&XHw5v`ZYiw?Rug_lYjW)xt_g+%7QH6b$yF?4$|fM70>^;zi3j2uFc0Ph2(6Ii zaUpAm&tS?>??`^$FOZp=R?q++2!5cA(Dmyd6k|B!``^I8R`$`Ow{n!?$3J<%PJ>`t zr~o_;Ts9{0@$m4Jf2VPU!A$Hf{1unO3^5oZR68ycqdwdXB+!I$WOk7dd?Hw+Uzg8O-1OOVwETMjt-UiKzs~`YfN}jfOux$ftNyE9UUWMG9ZvF#7;w;}Wn|{y z_8x#oIZ;1@^=Pr=1#_vhAJxod!o$feKro1xForjb6O7~wWKS;qhAhzH8u|_(ie8dt zV3nT-;7qX}2~0pVVE*M7V9`LOH-DwH#8Q^95H|3xaH;`FhtWfOu-@NU-bG z&~9QHVFXSw>3;)gU20R#fxV(-K4Mcfm`_jov3B^PfjmfpB@ptw8Ly`tFX_TiVr zg}n!1lzhbwi}GOqgd^~55~5b=$182}rmle}DYzm48T0<}7;Nu-VDvLd>(gLjo!N!f z5;=hM*;t8r=ofI>>p;}&4}aI@EfHD>v4-eM5uY(V>YJF*`G7d(w}3MUOD_clMfQVW zh^&O0vjr|NWTQ(UUPt^LBvXbVi4_WM)=Ob<4u1kyb_7!d+bUy7jc^0uHELn$8Il7F zpyU=5;}(2yOk4wXGh1;tiP!-On3V`MYYCn78qDj!I%p2olyo4$W$=a1=I(Pl+%`de z7$|sgDdBZQY=P4#1t5TE3Ks=aw}8mVNI2~Z|8o0U{Bdw85kDTAFHhjpfKjE5?|Y!g zTI@G@AM+y|a2x5tKPMv2tLfcMIVw4DC0PDG$uf{k{3ECWacz%(69e;FO)H29z|d+p2O zn<3b~=HbQ-`kYRCZqkAOO%%z^SN($EtuHBmd8$Mkkwxx<)yEek=+$}4dhz%Ve077L ze;B`+500a}kA~H+>t}4z2JTSvVGKTg(W}B_CRa+NKI2u(g66O#a5Zu0eBNk@l9GUtZlb^9nc4pFH18Q5su* z5!wLA`>I`C&&JW}Qh^In>tzbPDcq?A>G)eoljhQMYSN^u~96QZv3@~Wv3 zCue14DTl>SuNl#Sz8N}zp1DL0peHIDmA|7FrOM=;E-`9e$zGYBxO=ikT@mPLV6~?$ zpWri-u&o5O@t&Vbjx@XjAaL+SwAQeD;0ioGy0`{3hs+Zl@e+3*^F1#x?7)8512TcR z#YOc@O4xF2>>_pF%j&GP!5J;V7e&DMUBl(4))>gTdmJy?~1l;27%?bKQ=nnm5(A%7Z( zYQTKq$>jngGKnyPKuj>K>GeqgzYK%opA#C5J-~c}x>CW##bvJ$8a9rv<7Ton_4nQF z2(dJ7>q4TfRSnxzKVHS|p3U1GYOhG_KQBLJd~!y~w^_^Z;2%7uK9FeQjxAP3g-85d zWxo)QBZPWCz70Fq7OZIeRUrK1cht6sIGy48f}&nhOFTICncXETE~qzQ9;~AS+YQgO z_x=+}nv-u{hmudNalFI8CaeXViwK6YXUGxuKkVH&NVv#6=sGS3wnEK|Z#n{XeGmo~ z?t9T`s6vXKd|H{E^@Vz#qH7ZROM(sg7Hcdw5Jd;ffK-FR0Szoh!Ms#&cg-L2%sR0|QoGk6%1$n^r5GYxYWW zI1jTvdB4ZLNvBQ=iJV{pP5-lf{F_wsD8jJNcg)ROA=8!NI3hhkJTigZ^zn~pw)f)q z4Vrx_;AIeZTIrRXodqM4kNQnM`B+_S&qBtZXU}|A2KmXgNrm2VFRy@GuNaf%eO= zvJb5hfxkUx>lR#^j(7g5up9UQfiXWO65q|2`wQIrIPIc-CuIVvX4$#fuzyYLkba-P zC0=d~T9#XOTfh0lz+DTxSf2R(yFBW8XilBh$JG-8cAx-(F3;W1_z59w&DeN&%W$^L zXxt*>M#*#O>%Y=Y{eipHLrH z5_&{4yIw=7FWdSphB-w%g=}w6IXc7o{c2s7jm8KjPH_xTA zQi!^70!y;6JK-`pc`yhYuwXLmE1&TRsulag?bl{OaGaA)TC3-%AYElMKo+Ql#x+u? z+kkEU9SD_wd3}X&;iq06iw6M5uS)!FJz-#?aXLUIVA# zGGa`~A}lP-0R9v_zF9_1jbsb6izvIn<9woJ>x}Vej+deDY=-R`J!)r?9lwee7F5|< zP*AiAspn#&^fh;y`35UCM2+NH(J8k|_&nvPBrn8dBH}Mm_tNW+!6P>^X848?34sutsr=Qnn$%iMbH+=PANLEhWZrI z?6jQ1-(-t?x(vukGYo`rgec%;vf=G&f-@G-Uz4}5RemBG7m0Z&$3rvM0sH@iaB(SN zFATYOQ}*08*EL9HdMkW`7CbZ%OD)n6Y2KqO#kkbz661RwN=oPnl#0#Ap3vkw_wa&+ z4ZOI0pNCo(o(p#_KcUZg8k%2V<3`n;x7%^MXcnlaz3lI}Tdj&3G|WF)l$Zmf zq9QwaFE*$ZKHgkG)pWm)3#j417-UZv+Cnkd}$E!m#*OYAP%=*-3rV4mN5A6+be0guG>n{>^^0A6=sjwf@>9Skd zc1YSZcwef)45~56ClQRl?WlIG!>orUnw=d@nYlL?>Wz85rTOdps^Ks-N~Pk9W{i3t zBkh0dD8r%Qt$Yd47V{zd#{lM4EHZ$O*n@rG-2fZJ#U6Zc$PwmD%QA@STA_ck2a0|k zlc2!kdD!hZfkqxVk*}V21#F$OPaY5RFlU;BkTBh^6}&_Jh*i&`Wu7lt=|Z4_ALYX& zVRZv>59qQ$c=+sOyY(!a~*uq8+<^P)Bd<_Mz2b=zgfee~JM(1nMP(-+;VNB5!2@FoxpgJamD)mV@WeXf#8m1sqr4087f60fx8uP{-V^ zlvUU{*lB#E$9nMKjb#&ckW|_de~z;K_Jw{%Z_VQQi@%9kdbISu`}{_N>0W7(0kNVL z=EZYJPEyGcfv-ZK^>fS*f_IRR8sIUJ>lj-UgG3Qvux_Kn#ce)~>_-^L1?d?3jAO&K z3>N9rMmy-Ma>pH^HZGSoq(4pqEc-g7+ZCwf1YwMtTZwZriq{f&9-H&~cBA;8JC@v| z3F|PVz!SsVia3391y6r9UAgD;>zD6bW_;`)9aV<7yyAQ5v>U-EEOvwOzy{4H5++E7 zYAf;I;~B9ij*3*)^;8(p&_VhX?|CQ}Q+1s|-ysdXmP`S(c8G(k%ha3n67y}dvM-7N zw-B0At%pTe=Bs9f4`F?O|4NrVSdp=_&z!f+y03<(vt_`fBk%Yc>Lu#JMdr<2+<>Qo zc(^FLft)36-8Ab4?*di#%;37R$lu;*Edku}1qn9P<#*zq6jr>UC1w_`9#NvzB6w#N zsIdL?F-0}oXA|*%>%6}+gqP3;!SZq>Blrp+Gh>H_bClb!8rjceq|BwwA6ba7Y${Ib zsrFNZ?x{ED=X_W3rn}B9I~*Hei($YzIeLj*c|We-V$-pN@R3d#QuhDFnh`Mu(zSDo zz?f6J;F?XR_Nzt3E|HOe+xJ+mb~KA&_NJmX8S<)S$2^WN_BH4&%{GzS&Fh&;f5C0S zLkp1gZdNgG7kcEAn_ZlF#@(?y`JesTQtf@MyO2H;`OSu&P^=)~i0*&{))54z3ZOCy ztXTS6UcVxK_W9}=#n{-U;{v+?@6rLc!EH0I-N8yvr37PNINGS6y?uL+fZzPpCawS5 zeRN3)QO#vxA#O%DvgX*&_XpL86Yahk-T5p`bD^(PapG^=^zZ&bt_BsqqBE3vXJiC2 zk5LcTC1aKGIJhhCIok!(p~RMEi^xjPWQZGOJDxlzwy5e}xMZ}po*?0TLNX|%5@^Wx z;GZMGqc3~O*l6-A#fNsp_qNKF>J-D{bjEYAJNor>2L63KNwO4ZX?MZ2F8-q$iwKsR z0Y`0U&#ZkgHYyzFXJkurl^y$&I~7x#Uloqb*4D|pc~*L^2xp&euDx&6&rK1pxn1yc zSR&W(BlSTwuZVy=dqS(wr?6*FNAtXn>YwW!ol}N(3ptLEnbpKo5JY)_A(myd{AKLx z)5+zR%cTe2J33uUEKtsM;18;p+0TE`2Cd5ZeGVZd&LA-l+Wly5XZ;*chP;N#c4c3w zcXcIMk)9d(_iKJpkDI)spBVnX6;jy-XbTtMzJ-0}xR`=gwnwi#@HmoqtYbLyiEYY6 zYRSTF*Vd^5?fGd#I}Jo%20d%oP5edj!|J~~aUr7zO1-VVd$c)xl-*1ym$9@~Z~@Rn zIlt}bcVyQ2XT4ux|41eFaP|2e8a zp6RW!%)TMJDjR$|x0~R_AxD|G_dX!L zX4pi0?Vdssb9Ynb(W!kRngDsrE;IcYG`ywsF70V&KJKg`leSWoCC<>+oTd$v$3~nJ z?KdQGVF)1qlv`x43Q@^1u_X%dqk77FPrpi(x&GZF-glk-lv5lj1S4(=QL-&FIM)=78 zc0u&lyp|On*L}+tm787!q5j=QzzzIiXTvji>^}6cv;OZu_NW|t>mdxb$o5#aU?qkV z1m5ij?ld1Ny5Wb;&);84GSt-BX`{|ET!y8YZ!eD4h9@+gu11~oD>!jj$6h18J#r!+ z5RW|Sj-~zm^C)(gd}Yk*7n(6v7#J$>&<)zgPoJ3OJanh7C+BfscWU}GW12u7ktmA6 zXXVki_>x-me=LU%ArPUpVK}k885i1802>M^YyER?uzFv~@(8)@;o@j9Go&t*Hc+o% z%zlH43!`@8#v*sxL+&scS>7ymWwDQ3cj3NV5qRsxD3}|4?*}P<(>*L-n8DwEEd2$0 z|NHD66iSzSh_da^QEI-Q6fve??=`|A)E360s}jV%^tg$`oTmfjm7a>|+76-7$(_=D z!M1xSubpvE(92#uwzo`pqC;`}w3JF=OqX)Jb6fLWN$I88mHXk~-uS}pmsr9d@+6!D zGh$yBC(3gUTQ6@UrDkhhi+(K14f~J=eh-WK9KXN@t{|rQ7eCq1GLjn$ElomC4M(Gt z>XONa^+w~aZ746(R0gCaOlRhzFt0BADVLPK`OIGTn*^|s23DKOau=&)vw&c%l9o-s zo$%ieZoo}{sS;GO?nL_c7slNtxrS=hSrqoPR#x8aj!P=}qDYMO{N6gj8_sLPY@vY` zp~9}Bir<~|o^{m>F!eHvcv3B|Xhp<{DvVlpyU4F;8a{7W{3LkRI%)hP{I!3K6=FCG ze-^Pi0?Z7nUp$XH#`AnTKjD&cnZ%o_nT6P^OUUb^Lw2Uu-lTF|+O}`dKIVJftY_qH znuozSd<(3xByfmX*TgI6tB84SWH0r{qAGQ>Jodk7jumrPjv0*?xF_%0Z`&P{O58y` zUP<^%y2F+v!vnqDb>(FfA6=|7-FpwqK9-w>IK{2j)hS~nBx8&oPjz1l=1CT!UX<`e z88io@e7Nl%32Caa-gOp>6Bu&cCre_fLWPD!;F&pW6>TSzD)J4-R9IK4i42!(rM!Ia zGd(LrSL5A$+D0)WHFN9VHvj1cvEI|r{Hwmx27icrE3jvYny)tB#QlcR$ezBQTp+{N zIq-y?f5=tfyvR&dX__|8CyJw+0)jXRt926}M|Ty>&C+#Uu1dU~q_RKN%ic_8!2^YezF2G|LvQ6OGx0H2W6{^s zq3mYG9|u~!FY!PVENf|@$7p#zP~uSrcbcqc9dC%KUg6itOX?TB61gDlmv)09Txn-& z_g=cL>|>_?K8bZGN8i(Gf}lgxdEDM}5;!Oo6rW%(m?k7s-JYP?8_{88G7o$CV|hJY z`5sRYGfJ<+kzFffHFi)boQ>o3X#hb3#xliGD*M^k2WDd2R@|krUBUF-4T=(H;8Lz> z(X1!8(hxm(ob-KIj;7M&YMwyO=StSrVzwsM#e5yDF=Q>xYbtN+HO?MfK$+?8Fg%Gt z_8R!pDeT7B?5C%+u`v_pbv>qxzekzp$HCGtM|hGY+R5yvhmYfpY86Q|V{`4oWj@_k z`oGttJ4|evm3cNlaAjO|O0O1m?6x1?UHo+F(fN&#eaG9r^l&Cnq~VX|=?taaOljGe z$9hz23GZ80jOONI=D~duq5tnMPkdrPNJklxo_6V;^J3X@ct7hBaZnY-RUq&egRVoKF0DfD3v5! z!Io%w??m||;@@3)8DZdLYG_&a#3t114|Ovas_llcf0f@a4Agt+j$qV#i%%uVTp{H< zgZv_!@6C1I?Xnp%&0C*0`!gikW_`go4ATY6GrPTR-pBhzMVGFv-#PgU&%)J(~Do1`F$*alEh3MR6W%47vPIm55JwX&z2cevT z4tsA+6n5K#r=8==K5toVNVQ^qMi1AXo|$t0D(p%2-ZOt(_NHg-j?sxty?5_Wore$h zEVa&!{hwium5cJC+@IC(h&PT!^^?4vD;jDl9qE=z2j_n`=4K5RNv|$S9?wcQ@^1qsV}aWO{0dwv3sjHeKYQ7oGK zmWGHjdH)rDe(!epmz+_Q*bnUMoX`_Sif(2vuyKymc1Z+LkHCjzO-Ae;( zLs{1Nnx8m}Q=Rpk_U#^sJL$d9(_QI~U6?w3rl8LEUFtPHxiP!Nos7{~x{zYbNDQw> z;(YevO<<(>^5r*tAiS{7naBN8`!EnfX50?!M(T%nJB?S$P^M2KIKOTW z2dylLCYX5K%42$v5?^$>+SqcWJ5h7Nv3-^KYoo9Srr3iAzQpR~v6j`hz-#0pSIg&d z&4IB;?wG{ls+S|)EgS-WnDpfgiteu%DYJs1ep_-Wffo{uA#}tkP~KmYvOeQ*+nOr@z~(?%KZ*~>GOI|IUW^w8|C7%0Yu!{d3pJJ({RT=|uX{Lty&uc0u% zejVCXEyQxN6#n7f1V|3mO<>QXcn0EnoT{`J8}~VieyoMr;%@E!&P_j8sI|Vveyc_K zC3A1)@9&uDK}AdKw@VGogo_+o4bZ6d1|L;o@*s)7E{Yy%`t5>UNdEC5rt;UJ^ z%Z7Pkp4SsvjBR<3KCHf!ah15Xd-)Oup3I?M?P0iM)g@mCM%KJZo4-o=<*n@6G_KeZ z6nsvrz2kY`T&t=qgZ*)hvxv^BT3^JS$lpR$MlPkvzbZM9kD6+<;PHA%5~YeUtLo*& z7`_sRzpl+qq_JITf1z&Po+Y0MQ;sC%Ggq9na>JXj>XJYT?3sr{H^Wf;(RGr0UE$*A zuJd#U5InQocNW)Hq{;i!_xNT>Gv58~9v9vErAOxkkJQgj_)e-6_PWzOCn#(6NovW; zB6p*V^#cjZ7K#;-YjB`%QJuBHSi=2D7~srW2D*X1s?QpUYG}ikH)PYFgvzn@4rxt0MZbrT+?Ovq zB4$H6q%I_-=pDSm?AhP-@DmR7>pIyODBd-w{zztDnKH4vUwqXKf9#{{g|EgqHfx(l zQlo@k*t62-DAnm|B9i+V>OFQY-hM`u;HR@=GyjV?xqS7f4ehm>#+l_~6X!17cQ$x6 zl0-FzJwF9i(mZT}8Qj=Mdw1>XUUP}K|6H^-L+;3pESg=|S$5OU$$jH4cVYG=m%Z;==}Fu%R70wzKI++& zFE6+u9~y^zvRk(POqfY!RW3MW0+Nets9(REs$>`hdp&3WRF+l#bQIZA`O3`FHu3DR z3a6>$2W{Xps~pkzu!k`k+aZ19qlfMZ9JQJsX0V(@uv0LKuOATlFRT5U;@96d$z%W7 zA=Gk6>DZoA*|mQtFSzvIuUski3VL8y{qm~YL%)H6_UY}))Jo9z$od)4VF6`3D+40FTKYea;{WQ zkb3R%<#j<;1>KPv{S`O7<~WoF<_bDN?Nofd`_czV42j(ks%7i7q8E-INR7p|>#xI) zNDT?QBetrG_pAXN6_rrC+?{#1I_1y3C z;g0$tYLzT$4x7nvbZF=WWoaCrg+{Ui{6mO1h#Zkh z1B4oFyW+y$B;(h@6bLlC<~MrcC9(&8$<6a!$CERCl%^+a!%n2ccHC$*BUf>md_(KKx>*R4eN+0R zCTC{{aFql55GVsom=*0K$?=0b$Ljact&aDrB+N(-Wg)!}g1QLV+=rL4*9@R)Q4w@< z`tK7vGnW!b16*y*HP%qFta{7nD~qj>dYpd&Rw5ONxRc5?-Cp^Pm-V}Fe3R2At|NKVp_)Tx`LHJ zt}G_b-VGb)ao%`L zb~-xLMz(33xGD^=Hc!MO`UC>d>kmI{t!5A0lBYb84FmPCiM3XxPcGDKUv&JFaqi%p z>8Ub#uFr~v@Dn|Ji8GdKkCIRXDpM9Wz#VEg>m)pARaM+UP+_}fnwD8lm;Z+K@Y$A! zxTY{zhN&H!d+R)IReh)SL!oQzz0;|m?Hp|xuqKq!VJSjN*o7*#-24f%1Y_ljo~E7` zawBBTzsu(asTzFoxd9&21^#Gzh;aUSi`|afskyqCG>*JTp`Avr~zrzSYom+3GW~oqe?W zvW5Rj#@m&elR-hR=e$1qiyy$aR(AEYrFlKiR4XyEbRGd^&l47&;HD4fh+8^piY?K; zaO5T~?JCe*xM^`zXsBK1jfk>`BsTN${!v!balwr~tpZPW(@5Kx5;LTL4l$%d3f1T= z9m*xj;GVfwQ5ZNvfn|!LdK@zNKuIu?PjqfKxIOB3Q+;?aHBLQScwR@s$P(4Y;5}`& zMZWJV=eXB0`kQRE@~^jYVJL?g{e>4=R6we@cyQC!iZI=P&lii{<6d}l)BRl&Y}IAB z%TB}-#h239Wc7VntwMDqC4J~2@pkR2hTRoZclis3+i;1e?617iKZSJ#B*x54=d@$X zlnm!@DM+<^pBF+}rujh#Szklz_X3T#W$d@!D1s_HvW4eKk2KQur?R0UIdkszS-roZ z%ni)2CFp_Hyo8-vkT$EI^V-vO!_g9g9Bf_{mgA`*>~d`|1C!wv40>Mm~ye(E2Uj+3`j+Q4&HM=!-XbhS?l6TTX33}&H7pJ6t6_73hikbBx*iVqW&_h-} z^SD%Xs|MGR+mCVYn^k?hHfh@-Ijnx0=11uKNz7h;$Hx+Nl~i!al+Ysl8GW+DakXeY zWtkG)Skg)LVc!(({RiiSz5(dH>6gzYMY)*_%;fM+qv5SUU$O9R)0Myu@jw|jVCu5Q zkz@o|Z%DQoJwN$<4dLZplGrw;Pr35`(wm>er7u~;@JHS>iN8RLq-EH@a~nNZOG8bE zqiAVuC8Ctq2)CfRx|XgV4zMrvOhF}O2{FskTH@^#IyUInXg z{4C2d$?w+|70TfRZr50iLEZ=byhyjcq|-89L#wPKY$E@N`}_rQj9CcnPO$HCTbc-+ zMZArcu2e_PK0R!p^4#yorw88+*$lT6QSIomX0-DD>^YqUTXSQ^zx$)gpZ!q?IdE+| zL&h2``WLv@;la38Efp{^Tiu%K|L+&T{}|naz3fCZv~7Bp8*7Wn7bq-o-*VI0JHvot zJH)v)vSW^13roZmLh>E0WRr`WsOl&1s_t}S93DLVw@p|NJ0m*1us>lvP}0U=-}yuq zgytlf$~#0m70rv!Q`=g}v+N~~)%&kLZ*kau-qZWyB1$VRTs4Kfj%y0YZ$*F^l&C$` zQ%3ujDi_x2hgv)3Om(Nrji5&Nt63E=u3WQ$brqD^FQAleIcnhO%_WkTxYn1K`lq3Y%DV`Aep+!53j;%pYP7VvD5$n z6t6N@pURM(atN`rAmKR8z+H)8gu@rH0FqNPU!VEFqZx|&zn7{04-PxMwih!oaxDOT N8Q!?9U#06D^)Gb0pho}z literal 0 HcmV?d00001