From 3970701a5fbee49bf70de0f2dad95672a741bed4 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Mart=C3=ADn=20Gait=C3=A1n?= Date: Mon, 15 Jun 2015 20:05:43 -0300 Subject: [PATCH] ejecutando celdas --- Clase 8.ipynb | 3554 ++++++++++++++++++++++++++++++++++++++++++++++--- 1 file changed, 3372 insertions(+), 182 deletions(-) diff --git a/Clase 8.ipynb b/Clase 8.ipynb index e858b8e..ac918bd 100644 --- a/Clase 8.ipynb +++ b/Clase 8.ipynb @@ -78,7 +78,7 @@ "data": { "image/png": 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HAduK972rOjyA6lfYk1tS/fuHgT2ChG8c3gBWEyENwzHPEZ7obwceVOes2sm8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\ntynmOfs4sJkIIt63x7SGLlDnkgbfuhwGXIfG8oGtyeAwp7ikJYk5SIN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wQ7FN1pJW5UEh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\nAAAAAElFTkSuQmCC\n", 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w347w9YsW9JO/o2/6iYLAREM9vPUGQkQEu5Xx2DfuIXWNdP3jF8rhgt28Uvsu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\nkiQS9zyBpNMxcOB1sn7+B9bJRk6Fn2Jr5sZb7haLMs0Y9DquN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lDCi1dfoZlWTnte4/QJ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\n", 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VlrIFiqZFzO/BU2E1YyMjrmAXgrUFHa+5cYWSTVXMo7NJLGxLZ22IDuwb2khvAOy2jVa/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\nfYsep9zrp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bRu8P03u1AkiXcu0Jq1VDodrL+wNq4ZqzCyWK2A7P8iv+w8xVZl73LqRNYj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\naJiusQgmJltry3EpMl63i+015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iIiJVyj7veKDMhFIu9fJN4CagLRQK9QMfAz4FfDsUCr2HqaVeSvX8IiIiMtso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\nG7Y5Hv5ub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UuZDPpV6+BdwCNIVCoV7gE8Cnge+EQqH3MbPUS76eX0RERMqN0l8h5C38hcPh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\nJP6IpkE37NZRT3ZVVhSEYhlkZAaxihKvwjhuPwng6q0phOOZwnabWY/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Kp7KIJbJgPLem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\nn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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -624,33 +624,96 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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Ki6eonMtq+LWv19lCRrfklrIqBetcQnDUOmw/NlOTqc3LRksnAT7Kk8tkD1lb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\n4WtxHCdaOt9wx6I5lbctm2+oFIlGdsh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98Xxjtn+y9U4m88OH8sHLLs329oFVjwLASWRzc9/GbsdMurPdmO3PaWeePeWSJ40jqx4A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\nAWAwsQWAwcQWAAb7vyJDULgZTtU1AAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "s.plot('barh', grid=False, title='Serie de datos', colormap='Blues_r')" ] @@ -664,11 +727,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 25, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "gaitan 10\n", + "messi 54\n", + "suarez 31\n", + "ronaldo 0\n", + "dtype: int64" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "goles = pd.Series([10, 54, 31, 0], ['gaitan', 'messi', 'suarez', 'ronaldo'])\n", "goles" @@ -678,46 +756,105 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Cuando las claves están definias explicitamente, funcionan como un diccionario ordenado (es decir, se puede acceder por clave o posicición" + "Cuando el índice no es de enteros, se puede buscar un valor tanto por clave como por posición (con reglas de slicing)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 28, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "54" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "goles['messi']" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 29, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "goles[-1]" ] }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "messi 54\n", + "suarez 31\n", + "dtype: int64" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "goles[1:-1]" + ] + }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Obviamente, se puede instanciar una serie directamente desde un diccionario. \n", + "Obviamente, dado que se trata de claves y valores, se puede instanciar una serie directamente desde un diccionario. \n", "\n" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 32, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "gaitan 80\n", + "messi 100\n", + "dtype: int64" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "pd.Series({'gaitan': 80, 'messi': 100})" ] @@ -731,11 +868,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 33, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "messi 60.713197\n", + "messi 41.152296\n", + "dtype: float64" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "s = pd.Series(np.random.rand(4) * 100, ['gaitan', 'messi', 'maradona', 'messi'])\n", "s['messi']" @@ -743,11 +893,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 34, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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5TrbOf8bR/mw7jh9fXker6qlJXt7dl89vvzTJ/Z7sBQAPb9mPlN+Z5LKquiTJB5J8a5Jv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\nhCgDwCBEGQAGIcoAMIj/D9z2ohVFfBfFAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "s.plot('bar')" ] @@ -756,16 +927,37 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "La series se utilizan mucho para representar datos en función del tiempo. Hay una función especial análoga a `range()` que permite generar índices temporales" + "La series se utilizan mucho para representar datos en **función del tiempo**. Hay una función especial análoga a `range()` que permite generar índices temporales" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 35, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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vMHhG/K8hmVD9XoJ07NDwNGyW5t9iPjzqlW//54M78ZGbz6rj2RSuq8vVcJ9H0pzos9jc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\n+h5DHj8EAPN73WWfQ97gzPP81dnu5zjuLACLAbz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ABCD
2010-01-010.2975010.174344-0.3689720.763846
2010-01-020.5235670.1511700.652755-0.734834
2010-01-03-1.2320060.7098830.474924-1.783447
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ABCD
2012-09-221.9707721.8105190.473920-0.864071
2012-09-230.134668-1.714598-0.9155302.450664
2012-09-240.585792-0.254188-0.121551-2.388050
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2012-09-262.455597-0.264173-1.294983-0.795580
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distdxdygoalshotxy
team
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mean18.542860-0.805946-0.6120000.1081081154.72486534.713081
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min6.424019-30.135000-15.300000FalseTrue3.88500011.900000
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...........................
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256 rows × 7 columns

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" + ], + "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", + "\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", + "\n", + "[256 rows x 7 columns]" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "shots.groupby('team').describe() # es lo mismo shots.groupby(shots['team']).describe() " ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 55, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "team goal \n", + "Ajax False 20.321821\n", + " True 13.504265\n", + "Anderlecht False 19.198889\n", + " True 13.130618\n", + "Arsenal False 16.474430\n", + " True 10.622403\n", + "BATE False 20.809256\n", + " True 17.350193\n", + "Barcelona False 17.686370\n", + " True 13.163291\n", + "Bayern False 18.953692\n", + " True 12.146656\n", + "Benfica False 19.661054\n", + " True 9.982772\n", + "Braga False 19.871390\n", + " True 10.703532\n", + "CFR Cluj False 21.967072\n", + " True 15.374932\n", + "Celtic False 20.581338\n", + " True 12.322416\n", + "Chelsea False 17.485217\n", + " True 14.345834\n", + "Dinamo Zagreb False 20.047741\n", + " True 11.323766\n", + "Dortmund False 19.511815\n", + " True 11.039619\n", + "Dynamo Kyiv False 20.660831\n", + " True 13.491763\n", + "Galatasaray False 20.462527\n", + " True 11.640850\n", + " ... \n", + "Man. City False 15.783804\n", + " True 17.665613\n", + "Man. United False 16.475926\n", + " True 10.669451\n", + "Milan False 18.659194\n", + " True 13.341725\n", + "Montpellier False 24.754086\n", + " True 15.029924\n", + "Málaga False 18.622637\n", + " True 14.058971\n", + "Nordsjælland False 21.450126\n", + " True 12.892849\n", + "Olympiacos False 20.608253\n", + " True 11.680029\n", + "PSG False 18.066634\n", + " True 12.175081\n", + "Porto False 19.192670\n", + " True 13.705443\n", + "Real Madrid False 18.843789\n", + " True 13.981747\n", + "Schalke False 19.267595\n", + " True 14.041746\n", + "Shakhtar Donetsk False 19.878827\n", + " True 14.021079\n", + "Spartak Moskva False 18.694015\n", + " True 10.676129\n", + "Valencia False 20.009240\n", + " True 13.886594\n", + "Zenit False 19.820624\n", + " True 10.394430\n", + "Name: dist, dtype: float64" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "shots.groupby(['team', 'goal'])['dist'] # groupby devuelve un iterador especial *similar* al dataframe" + "shots.groupby(['team', 'goal']).dist.mean()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Una alternativa aún más poderosa es usar pivot, donde uno define una o multples filas y columnas para agrupar datos, ya las columnas (values) que quiere ver resumidas. La función de agregación por defecto para es `np.mean`" + "Una alternativa aún más poderosa es hacer un pivot de datos, donde se definen una o múltples filas y columnas para agrupar datos, y la dimesiones ('values') que se quieren ver resumidas. La función de agregación por defecto es `np.mean`" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 56, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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dist
goalFalseTrue
team
Ajax20.32182113.504265
Anderlecht19.19888913.130618
Arsenal16.47443010.622403
BATE20.80925617.350193
Barcelona17.68637013.163291
Bayern18.95369212.146656
Benfica19.6610549.982772
Braga19.87139010.703532
CFR Cluj21.96707215.374932
Celtic20.58133812.322416
Chelsea17.48521714.345834
Dinamo Zagreb20.04774111.323766
Dortmund19.51181511.039619
Dynamo Kyiv20.66083113.491763
Galatasaray20.46252711.640850
Juventus18.85911412.737179
LOSC21.06220113.455570
Man. City15.78380417.665613
Man. United16.47592610.669451
Milan18.65919413.341725
Montpellier24.75408615.029924
Málaga18.62263714.058971
Nordsjælland21.45012612.892849
Olympiacos20.60825311.680029
PSG18.06663412.175081
Porto19.19267013.705443
Real Madrid18.84378913.981747
Schalke19.26759514.041746
Shakhtar Donetsk19.87882714.021079
Spartak Moskva18.69401510.676129
Valencia20.00924013.886594
Zenit19.82062410.394430
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" + ], + "text/plain": [ + " dist \n", + "goal False True \n", + "team \n", + "Ajax 20.321821 13.504265\n", + "Anderlecht 19.198889 13.130618\n", + "Arsenal 16.474430 10.622403\n", + "BATE 20.809256 17.350193\n", + "Barcelona 17.686370 13.163291\n", + "Bayern 18.953692 12.146656\n", + "Benfica 19.661054 9.982772\n", + "Braga 19.871390 10.703532\n", + "CFR Cluj 21.967072 15.374932\n", + "Celtic 20.581338 12.322416\n", + "Chelsea 17.485217 14.345834\n", + "Dinamo Zagreb 20.047741 11.323766\n", + "Dortmund 19.511815 11.039619\n", + "Dynamo Kyiv 20.660831 13.491763\n", + "Galatasaray 20.462527 11.640850\n", + "Juventus 18.859114 12.737179\n", + "LOSC 21.062201 13.455570\n", + "Man. City 15.783804 17.665613\n", + "Man. United 16.475926 10.669451\n", + "Milan 18.659194 13.341725\n", + "Montpellier 24.754086 15.029924\n", + "Málaga 18.622637 14.058971\n", + "Nordsjælland 21.450126 12.892849\n", + "Olympiacos 20.608253 11.680029\n", + "PSG 18.066634 12.175081\n", + "Porto 19.192670 13.705443\n", + "Real Madrid 18.843789 13.981747\n", + "Schalke 19.267595 14.041746\n", + "Shakhtar Donetsk 19.878827 14.021079\n", + "Spartak Moskva 18.694015 10.676129\n", + "Valencia 20.009240 13.886594\n", + "Zenit 19.820624 10.394430" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "pt1 = pd.pivot_table(shots, index=['team'], columns=['goal'], values=['dist'])\n", "pt1" @@ -994,11 +2711,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 57, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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o56N1vXjOnIU1thVa7rcus2fP14wZ8xr82jRiNzZumrGX5+NRaOb48nw84sRN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\n8Bhn2Nr1JOnt6MqqOGVp9XQd/CSmD9q+nnNTSBoDvGj1dNU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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "pt1.plot(kind='bar', figsize=(13,6))" ] @@ -1012,46 +2750,95 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 58, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "pt1.index is pt1.keys()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Entonces esto no funciona" + ] + }, { "cell_type": "code", - "execution_count": null, + "execution_count": 59, "metadata": { "collapsed": false }, - "outputs": [], + "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 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teamplayer
AjaxChristian 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
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468 rows × 6 columns

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" + ], + "text/plain": [ + " 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", + " 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": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "pt2 = pd.pivot_table(shots, index=['team', 'player'], columns=['goal'], values=['dist', 'x', 'y'])\n", "pt2" @@ -1082,11 +3604,228 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 62, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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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
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total_billtipsexsmokerdaytimesize
016.991.01FemaleNoSunDinner2
110.341.66MaleNoSunDinner3
221.013.50MaleNoSunDinner3
323.683.31MaleNoSunDinner2
424.593.61FemaleNoSunDinner4
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" + ], + "text/plain": [ + " total_bill tip sex smoker day time size\n", + "0 16.99 1.01 Female No Sun Dinner 2\n", + "1 10.34 1.66 Male No Sun Dinner 3\n", + "2 21.01 3.50 Male No Sun Dinner 3\n", + "3 23.68 3.31 Male No Sun Dinner 2\n", + "4 24.59 3.61 Female No Sun Dinner 4" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "tips.head()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 65, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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total_billtip
timeDinnerLunchDinnerLunch
smokerNoYesNoYesNoYesNoYes
daysex
FriFemale22.75000012.20000015.98000013.2600003.2500002.7000003.0000002.660
Male17.47500025.892000NaN11.3866672.5000003.246000NaN1.900
SatFemale19.00384620.266667NaNNaN2.7246152.868667NaNNaN
Male19.92906321.837778NaNNaN3.2565632.879259NaNNaN
SunFemale20.82428616.540000NaNNaN3.3292863.500000NaNNaN
Male20.40325626.141333NaNNaN3.1153493.521333NaNNaN
ThurFemale18.780000NaN15.89916719.2185713.000000NaN2.4370832.990
MaleNaNNaN18.48650019.171000NaNNaN2.9415003.058
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" + ], + "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", + "\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 " + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "tips.pivot_table(index=['day', 'sex'], columns=['time', 'smoker'], values=['total_bill', 'tip'])" ] @@ -1157,11 +4166,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 66, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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elq4xSmGBh/dPO4+nmnaHzd9zBkgtml4VWvqrv2nhwlnr02Sax15/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\n/wN/8eRVDUnL1wAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "g = sns.FacetGrid(tips, col=\"sex\", hue=\"smoker\")\n", "g.map(plt.scatter, \"total_bill\", \"tip\")\n", @@ -1191,11 +4211,33 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 67, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "from IPython.display import IFrame\n", "IFrame('https://pypi.python.org/pypi', '100%', 400)" @@ -1214,11 +4256,131 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 68, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\r\n", + "Usage: \r\n", + " pip install [options] ...\r\n", + " pip install [options] -r ...\r\n", + " pip install [options] [-e] ...\r\n", + " pip install [options] [-e] ...\r\n", + " pip install [options] ...\r\n", + "\r\n", + "Description:\r\n", + " Install packages from:\r\n", + " \r\n", + " - PyPI (and other indexes) using requirement specifiers.\r\n", + " - VCS project urls.\r\n", + " - Local project directories.\r\n", + " - Local or remote source archives.\r\n", + " \r\n", + " pip also supports installing from \"requirements files\", which provide\r\n", + " an easy way to specify a whole environment to be installed.\r\n", + "\r\n", + "Install Options:\r\n", + " -e, --editable Install a project in editable mode (i.e.\r\n", + " setuptools \"develop mode\") from a local project\r\n", + " path or a VCS url.\r\n", + " -r, --requirement Install from the given requirements file. This\r\n", + " option can be used multiple times.\r\n", + " -b, --build Directory to unpack packages into and build in.\r\n", + " The default in a virtualenv is \"/build\". The default for global installs is\r\n", + " \"/pip_build_\".\r\n", + " -t, --target Install packages into .\r\n", + " -d, --download Download packages into instead of\r\n", + " installing them, regardless of what's already\r\n", + " installed.\r\n", + " --download-cache Cache downloaded packages in .\r\n", + " --src Directory to check out editable projects into.\r\n", + " The default in a virtualenv is \"/src\". The default for global installs is\r\n", + " \"/src\".\r\n", + " -U, --upgrade Upgrade all packages to the newest available\r\n", + " version. This process is recursive regardless of\r\n", + " whether a dependency is already satisfied.\r\n", + " --force-reinstall When upgrading, reinstall all packages even if\r\n", + " they are already up-to-date.\r\n", + " -I, --ignore-installed Ignore the installed packages (reinstalling\r\n", + " instead).\r\n", + " --no-deps Don't install package dependencies.\r\n", + " --no-install DEPRECATED. Download and unpack all packages,\r\n", + " but don't actually install them.\r\n", + " --no-download DEPRECATED. Don't download any packages, just\r\n", + " install the ones already downloaded (completes\r\n", + " an install run with --no-install).\r\n", + " --install-option Extra arguments to be supplied to the setup.py\r\n", + " install command (use like --install-option\r\n", + " =\"--install-scripts=/usr/local/bin\"). Use\r\n", + " multiple --install-option options to pass\r\n", + " multiple options to setup.py install. If you are\r\n", + " using an option with a directory path, be sure\r\n", + " to use absolute path.\r\n", + " --global-option Extra global options to be supplied to the\r\n", + " setup.py call before the install command.\r\n", + " --user Install using the user scheme.\r\n", + " --egg Install packages as eggs, not 'flat', like pip\r\n", + " normally does. This option is not about\r\n", + " installing *from* eggs. (WARNING: Because this\r\n", + " option overrides pip's normal install logic,\r\n", + " requirements files may not behave as expected.)\r\n", + " --root Install everything relative to this alternate\r\n", + " root directory.\r\n", + " --compile Compile py files to pyc\r\n", + " --no-compile Do not compile py files to pyc\r\n", + " --no-use-wheel Do not Find and prefer wheel archives when\r\n", + " searching indexes and find-links locations.\r\n", + " --pre Include pre-release and development versions. By\r\n", + " default, pip only finds stable versions.\r\n", + " --no-clean Don't clean up build directories.\r\n", + "\r\n", + "Package Index Options:\r\n", + " -i, --index-url Base URL of Python Package Index (default\r\n", + " https://pypi.python.org/simple/).\r\n", + " --extra-index-url Extra URLs of package indexes to use in addition\r\n", + " to --index-url.\r\n", + " --no-index Ignore package index (only looking at --find-\r\n", + " links URLs instead).\r\n", + " -f, --find-links If a url or path to an html file, then parse for\r\n", + " links to archives. If a local path or file://\r\n", + " url that's a directory, then look for archives\r\n", + " in the directory listing.\r\n", + " --allow-external Allow the installation of externally hosted\r\n", + " files\r\n", + " --allow-all-external Allow the installation of all externally hosted\r\n", + " files\r\n", + " --allow-unverified \r\n", + " Allow the installation of insecure and\r\n", + " unverifiable files\r\n", + " --process-dependency-links Enable the processing of dependency links.\r\n", + "\r\n", + "General Options:\r\n", + " -h, --help Show help.\r\n", + " -v, --verbose Give more output. Option is additive, and can be\r\n", + " used up to 3 times.\r\n", + " -V, --version Show version and exit.\r\n", + " -q, --quiet Give less output.\r\n", + " --log-file Path to a verbose non-appending log, that only\r\n", + " logs failures. This log is active by default at\r\n", + " /home/tin/.pip/pip.log.\r\n", + " --log Path to a verbose appending log. This log is\r\n", + " inactive by default.\r\n", + " --proxy Specify a proxy in the form\r\n", + " [user:passwd@]proxy.server:port.\r\n", + " --timeout Set the socket timeout (default 15 seconds).\r\n", + " --exists-action Default action when a path already exists:\r\n", + " (s)witch, (i)gnore, (w)ipe, (b)ackup.\r\n", + " --cert Path to alternate CA bundle.\r\n" + ] + } + ], "source": [ "!pip install --help" ] @@ -1245,7 +4407,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 69, "metadata": { "collapsed": false }, @@ -1257,11 +4419,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 70, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "60.0 kilometer/hour" + ], + "text/latex": [ + "$60.0 \\frac{kilometer}{hour}$" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "vel = 60 * ur.km / ur.hr\n", "vel" @@ -1269,11 +4448,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 71, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "16.666666666666668 meter/second" + ], + "text/latex": [ + "$16.666666666666668 \\frac{meter}{second}$" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 71, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "vel.to('m/s')" ] @@ -1287,22 +4483,51 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 72, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "'/home/tin/.virtualenvs/curso/lib/python3.4/site-packages/pint/__init__.py'" + ] + }, + "execution_count": 72, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "pint.__file__" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 73, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "['',\n", + " '/home/tin/.virtualenvs/curso/lib/python3.4',\n", + " '/home/tin/.virtualenvs/curso/lib/python3.4/plat-x86_64-linux-gnu',\n", + " '/home/tin/.virtualenvs/curso/lib/python3.4/lib-dynload',\n", + " '/usr/lib/python3.4',\n", + " '/usr/lib/python3.4/plat-x86_64-linux-gnu',\n", + " '/home/tin/.virtualenvs/curso/lib/python3.4/site-packages',\n", + " '/home/tin/.virtualenvs/curso/lib/python3.4/site-packages/IPython/extensions']" + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "import sys\n", "sys.path" @@ -1447,20 +4672,11 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 74, "metadata": { "collapsed": false }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "mkdir: no se puede crear el directorio «test_pack/»: El archivo ya existe\n", - "mkdir: no se puede crear el directorio «test_pack/marquesina»: El archivo ya existe\n" - ] - } - ], + "outputs": [], "source": [ "%mkdir test_pack/\n", "%mkdir test_pack/marquesina" @@ -1468,7 +4684,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 75, "metadata": { "collapsed": false }, @@ -1494,7 +4710,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 76, "metadata": { "collapsed": false }, @@ -1503,7 +4719,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Overwriting marquesina/__init__.py\n" + "Writing marquesina/__init__.py\n" ] } ], @@ -1535,7 +4751,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 77, "metadata": { "collapsed": false }, @@ -1544,7 +4760,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Overwriting setup.py\n" + "Writing setup.py\n" ] } ], @@ -1571,7 +4787,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 78, "metadata": { "collapsed": false }, @@ -1581,26 +4797,11 @@ "output_type": "stream", "text": [ "\u001b[01;34m.\u001b[00m\r\n", - "├── \u001b[01;34mdist\u001b[00m\r\n", - "│   └── \u001b[01;31mmarquesina-0.2.tar.gz\u001b[00m\r\n", "├── \u001b[01;34mmarquesina\u001b[00m\r\n", - "│   ├── __init__.py\r\n", - "│   └── \u001b[01;34m__pycache__\u001b[00m\r\n", - "│   └── __init__.cpython-34.pyc\r\n", - "├── \u001b[01;34mmarquesina.egg-info\u001b[00m\r\n", - "│   ├── dependency_links.txt\r\n", - "│   ├── entry_points.txt\r\n", - "│   ├── PKG-INFO\r\n", - "│   ├── SOURCES.txt\r\n", - "│   └── top_level.txt\r\n", - "├── \u001b[01;34mMarquesina.egg-info\u001b[00m\r\n", - "│   ├── dependency_links.txt\r\n", - "│   ├── PKG-INFO\r\n", - "│   ├── SOURCES.txt\r\n", - "│   └── top_level.txt\r\n", + "│   └── __init__.py\r\n", "└── setup.py\r\n", "\r\n", - "5 directories, 13 files\r\n" + "1 directory, 2 files\r\n" ] } ], @@ -1608,6 +4809,13 @@ "!tree" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Nuestro `setup.py` es un programa de linea de comandos, con ayuda y todo!" + ] + }, { "cell_type": "code", "execution_count": 27, @@ -1672,12 +4880,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Ahora podemos instalar nuestro paquete, por ejemplo via `pip install -e` que instala el paquete sin copiar el código a `site-packages`, permitiendo que si modificamos el código impacte automaticamente en la versión importable" + "Ahora podemos instalar nuestro paquete, por ejemplo via `pip install -e` que instala el paquete sin copiar los archivos a `site-packages`, permitiendo que si modificamos el código impacte automaticamente en la versión importable" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 79, "metadata": { "collapsed": false }, @@ -1688,7 +4896,6 @@ "text": [ "Obtaining file:///home/tin/lab/curso-python-cientifico/test_pack\n", " Running setup.py (path:/home/tin/lab/curso-python-cientifico/test_pack/setup.py) egg_info for package from file:///home/tin/lab/curso-python-cientifico/test_pack\n", - " deleting marquesina.egg-info/entry_points.txt\n", " \n", "Installing collected packages: marquesina\n", " Running setup.py develop for marquesina\n", @@ -1708,27 +4915,7 @@ }, { "cell_type": "code", - "execution_count": 29, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[Errno 2] No such file or directory: 'test_pack/'\n", - "/home/tin/lab/curso-python-cientifico/test_pack\n" - ] - } - ], - "source": [ - "%cd test_pack/" - ] - }, - { - "cell_type": "code", - "execution_count": 30, + "execution_count": 80, "metadata": { "collapsed": false }, @@ -1739,7 +4926,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 81, "metadata": { "collapsed": false }, @@ -1769,7 +4956,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 82, "metadata": { "collapsed": false }, @@ -1807,13 +4994,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "No haría falta cambiar el `setup.py` para importar el paquete o sus funciones, pero podemos usar una funcionalidad de `setuptools` que permite convertir funciones en simples programas de línea de comando instalables. \n", - "\n" + "No haría falta cambiar el `setup.py` para importar el paquete o sus funciones, pero podemos usar una funcionalidad de `setuptools` que permite convertir funciones en simples programas de línea de comando instalables. " ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 83, "metadata": { "collapsed": false }, @@ -1838,7 +5024,7 @@ " author_email='curso@',\n", " packages = find_packages(), # ['marquesina']\n", " entry_points = {\n", - " 'console_scripts': [\n", + " 'console_scripts': [ # esto crear un script 'boquita' que ejecuta marquesina.boca()\n", " 'boquita = marquesina:boca',\n", " ]}\n", ")" @@ -1846,7 +5032,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 84, "metadata": { "collapsed": false }, @@ -1884,7 +5070,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 85, "metadata": { "collapsed": false }, @@ -1909,12 +5095,15 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Para escribir funciones que reciban parámetros de manera poderosa y sencilla, recomiendo la biblioteca [doctopt](http://docopt.org/) " + "Para escribir funciones que reciban parámetros de manera poderosa y sencilla, recomiendo la biblioteca [doctopt](http://docopt.org/) \n", + "\n", + "\n", + "Luego, podemos armar nuestro paquete distribuíble. Es un simple archivo comprimido con todo lo necesario\n" ] }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 86, "metadata": { "collapsed": false }, @@ -1925,10 +5114,10 @@ "text": [ "running sdist\n", "running egg_info\n", - "writing top-level names to marquesina.egg-info/top_level.txt\n", "writing marquesina.egg-info/PKG-INFO\n", - "writing entry points to marquesina.egg-info/entry_points.txt\n", "writing dependency_links to marquesina.egg-info/dependency_links.txt\n", + "writing top-level names to marquesina.egg-info/top_level.txt\n", + "writing entry points to marquesina.egg-info/entry_points.txt\n", "reading manifest file 'marquesina.egg-info/SOURCES.txt'\n", "writing manifest file 'marquesina.egg-info/SOURCES.txt'\n", "warning: sdist: standard file not found: should have one of README, README.rst, README.txt\n", @@ -1948,6 +5137,7 @@ "hard linking marquesina.egg-info/entry_points.txt -> marquesina-0.2/marquesina.egg-info\n", "hard linking marquesina.egg-info/top_level.txt -> marquesina-0.2/marquesina.egg-info\n", "Writing marquesina-0.2/setup.cfg\n", + "creating dist\n", "Creating tar archive\n", "removing 'marquesina-0.2' (and everything under it)\n" ] @@ -1959,7 +5149,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 87, "metadata": { "collapsed": false }, @@ -2003,7 +5193,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 88, "metadata": { "collapsed": false }, @@ -2022,10 +5212,10 @@ " " ], "text/plain": [ - "" + "" ] }, - "execution_count": 40, + "execution_count": 88, "metadata": {}, "output_type": "execute_result" }