windrose_sample_poitiers.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "import matplotlib.cm as cm\n",
    "from math import pi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from windrose import WindroseAxes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sqlalchemy import create_engine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "config = {\n",
    "    'db': {\n",
    "        'host': '127.0.0.1',\n",
    "        'database': 'meteo',\n",
    "        'user': 'root',\n",
    "        'password': '',        \n",
    "    }\n",
    "    \n",
    "}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# default\n",
    "#engine = create_engine('mysql://scott:tiger@localhost/foo')\n",
    "\n",
    "# mysql-python\n",
    "#engine = create_engine('mysql+mysqldb://scott:tiger@localhost/foo')\n",
    "\n",
    "# MySQL-connector-python\n",
    "#engine = create_engine('mysql+mysqlconnector://scott:tiger@localhost/foo')\n",
    "\n",
    "# OurSQL\n",
    "#engine = create_engine('mysql+oursql://scott:tiger@localhost/foo')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pymysql as mysql_connector\n",
    "cnx = mysql_connector.connect(host=config['db']['host'], db=config['db']['database'], user=config['db']['user'], passwd=config['db']['password'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>direction_Vmin</th>\n",
       "      <th>direction_Vmoy</th>\n",
       "      <th>direction_Vmax</th>\n",
       "      <th>Vmin</th>\n",
       "      <th>Vmoy</th>\n",
       "      <th>Vmax</th>\n",
       "      <th>Ta</th>\n",
       "      <th>HR</th>\n",
       "      <th>Pa</th>\n",
       "      <th>Accumulation_P</th>\n",
       "      <th>...</th>\n",
       "      <th>Intensite_P</th>\n",
       "      <th>Accumulation_G</th>\n",
       "      <th>Duree_G</th>\n",
       "      <th>Intensite_G</th>\n",
       "      <th>Intensite_P_max</th>\n",
       "      <th>Intensite_G_max</th>\n",
       "      <th>Tchauffage</th>\n",
       "      <th>Uchauffage</th>\n",
       "      <th>Ualim</th>\n",
       "      <th>Uref</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Timestamp</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011-03-07 17:30:03</th>\n",
       "      <td>56</td>\n",
       "      <td>91</td>\n",
       "      <td>131</td>\n",
       "      <td>2.3</td>\n",
       "      <td>3.6</td>\n",
       "      <td>6.4</td>\n",
       "      <td>10.3</td>\n",
       "      <td>51.4</td>\n",
       "      <td>1006.5</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>9.2</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-16 17:00:03</th>\n",
       "      <td>337</td>\n",
       "      <td>58</td>\n",
       "      <td>135</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.1</td>\n",
       "      <td>4.5</td>\n",
       "      <td>15.7</td>\n",
       "      <td>60.0</td>\n",
       "      <td>987.4</td>\n",
       "      <td>26.79</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>39.9</td>\n",
       "      <td>0</td>\n",
       "      <td>15.2</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-16 16:50:03</th>\n",
       "      <td>52</td>\n",
       "      <td>60</td>\n",
       "      <td>74</td>\n",
       "      <td>1.9</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.8</td>\n",
       "      <td>15.8</td>\n",
       "      <td>59.2</td>\n",
       "      <td>987.3</td>\n",
       "      <td>26.79</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>39.9</td>\n",
       "      <td>0</td>\n",
       "      <td>15.2</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-16 16:40:03</th>\n",
       "      <td>33</td>\n",
       "      <td>54</td>\n",
       "      <td>64</td>\n",
       "      <td>2.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>7.8</td>\n",
       "      <td>15.9</td>\n",
       "      <td>58.8</td>\n",
       "      <td>987.2</td>\n",
       "      <td>26.79</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>39.9</td>\n",
       "      <td>0</td>\n",
       "      <td>15.4</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-16 16:30:03</th>\n",
       "      <td>18</td>\n",
       "      <td>62</td>\n",
       "      <td>97</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.2</td>\n",
       "      <td>16.0</td>\n",
       "      <td>57.6</td>\n",
       "      <td>987.1</td>\n",
       "      <td>26.79</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>39.9</td>\n",
       "      <td>0</td>\n",
       "      <td>15.6</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 17:40:03</th>\n",
       "      <td>80</td>\n",
       "      <td>92</td>\n",
       "      <td>109</td>\n",
       "      <td>3.5</td>\n",
       "      <td>5.6</td>\n",
       "      <td>7.2</td>\n",
       "      <td>10.0</td>\n",
       "      <td>52.2</td>\n",
       "      <td>1006.5</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>8.7</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 17:50:03</th>\n",
       "      <td>79</td>\n",
       "      <td>92</td>\n",
       "      <td>118</td>\n",
       "      <td>3.7</td>\n",
       "      <td>4.9</td>\n",
       "      <td>5.7</td>\n",
       "      <td>9.5</td>\n",
       "      <td>53.6</td>\n",
       "      <td>1006.6</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 18:00:03</th>\n",
       "      <td>89</td>\n",
       "      <td>113</td>\n",
       "      <td>154</td>\n",
       "      <td>1.7</td>\n",
       "      <td>2.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>9.1</td>\n",
       "      <td>55.1</td>\n",
       "      <td>1006.6</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 18:10:03</th>\n",
       "      <td>74</td>\n",
       "      <td>84</td>\n",
       "      <td>96</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>3.8</td>\n",
       "      <td>8.7</td>\n",
       "      <td>57.0</td>\n",
       "      <td>1006.7</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>6.7</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 18:20:03</th>\n",
       "      <td>76</td>\n",
       "      <td>96</td>\n",
       "      <td>142</td>\n",
       "      <td>2.8</td>\n",
       "      <td>3.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>8.5</td>\n",
       "      <td>57.1</td>\n",
       "      <td>1006.8</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 18:30:04</th>\n",
       "      <td>62</td>\n",
       "      <td>104</td>\n",
       "      <td>153</td>\n",
       "      <td>0.7</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.1</td>\n",
       "      <td>8.2</td>\n",
       "      <td>57.9</td>\n",
       "      <td>1006.8</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>6.2</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 18:40:03</th>\n",
       "      <td>83</td>\n",
       "      <td>89</td>\n",
       "      <td>106</td>\n",
       "      <td>3.6</td>\n",
       "      <td>4.6</td>\n",
       "      <td>5.2</td>\n",
       "      <td>8.0</td>\n",
       "      <td>58.7</td>\n",
       "      <td>1006.9</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>5.9</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 18:50:03</th>\n",
       "      <td>75</td>\n",
       "      <td>92</td>\n",
       "      <td>123</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.8</td>\n",
       "      <td>5.9</td>\n",
       "      <td>7.9</td>\n",
       "      <td>58.8</td>\n",
       "      <td>1006.9</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>5.9</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 19:00:03</th>\n",
       "      <td>79</td>\n",
       "      <td>87</td>\n",
       "      <td>99</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>59.4</td>\n",
       "      <td>1007.0</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>5.7</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 19:10:03</th>\n",
       "      <td>84</td>\n",
       "      <td>104</td>\n",
       "      <td>135</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.3</td>\n",
       "      <td>4.3</td>\n",
       "      <td>7.5</td>\n",
       "      <td>59.9</td>\n",
       "      <td>1007.0</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 19:20:03</th>\n",
       "      <td>85</td>\n",
       "      <td>101</td>\n",
       "      <td>117</td>\n",
       "      <td>2.3</td>\n",
       "      <td>3.1</td>\n",
       "      <td>3.9</td>\n",
       "      <td>7.1</td>\n",
       "      <td>61.7</td>\n",
       "      <td>1007.1</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 19:30:03</th>\n",
       "      <td>77</td>\n",
       "      <td>95</td>\n",
       "      <td>113</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>6.7</td>\n",
       "      <td>7.0</td>\n",
       "      <td>61.9</td>\n",
       "      <td>1007.1</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 19:40:03</th>\n",
       "      <td>62</td>\n",
       "      <td>96</td>\n",
       "      <td>120</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.3</td>\n",
       "      <td>7.1</td>\n",
       "      <td>61.7</td>\n",
       "      <td>1007.1</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 19:50:03</th>\n",
       "      <td>87</td>\n",
       "      <td>100</td>\n",
       "      <td>125</td>\n",
       "      <td>4.3</td>\n",
       "      <td>5.9</td>\n",
       "      <td>8.1</td>\n",
       "      <td>6.7</td>\n",
       "      <td>62.8</td>\n",
       "      <td>1007.1</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>4.7</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 20:00:03</th>\n",
       "      <td>64</td>\n",
       "      <td>86</td>\n",
       "      <td>107</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.3</td>\n",
       "      <td>5.3</td>\n",
       "      <td>6.3</td>\n",
       "      <td>64.2</td>\n",
       "      <td>1007.0</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 20:10:03</th>\n",
       "      <td>65</td>\n",
       "      <td>82</td>\n",
       "      <td>119</td>\n",
       "      <td>2.1</td>\n",
       "      <td>3.9</td>\n",
       "      <td>5.9</td>\n",
       "      <td>6.2</td>\n",
       "      <td>64.8</td>\n",
       "      <td>1007.0</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>4.3</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 20:20:03</th>\n",
       "      <td>80</td>\n",
       "      <td>89</td>\n",
       "      <td>97</td>\n",
       "      <td>3.4</td>\n",
       "      <td>4.9</td>\n",
       "      <td>6.5</td>\n",
       "      <td>6.0</td>\n",
       "      <td>65.3</td>\n",
       "      <td>1007.1</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 20:30:03</th>\n",
       "      <td>85</td>\n",
       "      <td>105</td>\n",
       "      <td>133</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.8</td>\n",
       "      <td>3.7</td>\n",
       "      <td>5.8</td>\n",
       "      <td>66.5</td>\n",
       "      <td>1007.2</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 20:40:03</th>\n",
       "      <td>95</td>\n",
       "      <td>105</td>\n",
       "      <td>130</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.7</td>\n",
       "      <td>3.6</td>\n",
       "      <td>5.5</td>\n",
       "      <td>67.9</td>\n",
       "      <td>1007.2</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 20:50:03</th>\n",
       "      <td>110</td>\n",
       "      <td>117</td>\n",
       "      <td>128</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>5.4</td>\n",
       "      <td>68.3</td>\n",
       "      <td>1007.2</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 21:00:03</th>\n",
       "      <td>106</td>\n",
       "      <td>114</td>\n",
       "      <td>121</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.6</td>\n",
       "      <td>67.5</td>\n",
       "      <td>1007.3</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 21:10:03</th>\n",
       "      <td>112</td>\n",
       "      <td>118</td>\n",
       "      <td>129</td>\n",
       "      <td>2.9</td>\n",
       "      <td>3.4</td>\n",
       "      <td>3.8</td>\n",
       "      <td>5.3</td>\n",
       "      <td>68.5</td>\n",
       "      <td>1007.3</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>4.2</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 21:20:03</th>\n",
       "      <td>112</td>\n",
       "      <td>121</td>\n",
       "      <td>128</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>68.7</td>\n",
       "      <td>1007.4</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 21:30:03</th>\n",
       "      <td>11</td>\n",
       "      <td>41</td>\n",
       "      <td>53</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.9</td>\n",
       "      <td>69.7</td>\n",
       "      <td>1007.4</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 21:40:03</th>\n",
       "      <td>61</td>\n",
       "      <td>67</td>\n",
       "      <td>73</td>\n",
       "      <td>1.6</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.3</td>\n",
       "      <td>4.9</td>\n",
       "      <td>69.7</td>\n",
       "      <td>1007.4</td>\n",
       "      <td>22.83</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 05:00:04</th>\n",
       "      <td>160</td>\n",
       "      <td>219</td>\n",
       "      <td>276</td>\n",
       "      <td>2.6</td>\n",
       "      <td>7.7</td>\n",
       "      <td>14.1</td>\n",
       "      <td>10.9</td>\n",
       "      <td>89.9</td>\n",
       "      <td>1002.5</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>9.9</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 05:10:03</th>\n",
       "      <td>142</td>\n",
       "      <td>207</td>\n",
       "      <td>283</td>\n",
       "      <td>0.7</td>\n",
       "      <td>4.1</td>\n",
       "      <td>8.1</td>\n",
       "      <td>11.1</td>\n",
       "      <td>89.6</td>\n",
       "      <td>1002.6</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10.2</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 05:20:03</th>\n",
       "      <td>129</td>\n",
       "      <td>247</td>\n",
       "      <td>339</td>\n",
       "      <td>1.1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>11.1</td>\n",
       "      <td>89.3</td>\n",
       "      <td>1002.7</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10.4</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 05:30:03</th>\n",
       "      <td>108</td>\n",
       "      <td>232</td>\n",
       "      <td>296</td>\n",
       "      <td>1.6</td>\n",
       "      <td>4.5</td>\n",
       "      <td>9.1</td>\n",
       "      <td>11.3</td>\n",
       "      <td>89.2</td>\n",
       "      <td>1002.7</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>10.9</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 05:40:03</th>\n",
       "      <td>173</td>\n",
       "      <td>223</td>\n",
       "      <td>274</td>\n",
       "      <td>1.7</td>\n",
       "      <td>6.8</td>\n",
       "      <td>15.1</td>\n",
       "      <td>11.6</td>\n",
       "      <td>88.7</td>\n",
       "      <td>1002.8</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>11.4</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 05:50:03</th>\n",
       "      <td>189</td>\n",
       "      <td>235</td>\n",
       "      <td>294</td>\n",
       "      <td>1.9</td>\n",
       "      <td>6.2</td>\n",
       "      <td>10.4</td>\n",
       "      <td>11.9</td>\n",
       "      <td>88.1</td>\n",
       "      <td>1002.9</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>12.1</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 06:00:03</th>\n",
       "      <td>163</td>\n",
       "      <td>225</td>\n",
       "      <td>269</td>\n",
       "      <td>2.8</td>\n",
       "      <td>8.0</td>\n",
       "      <td>15.4</td>\n",
       "      <td>12.3</td>\n",
       "      <td>86.9</td>\n",
       "      <td>1002.9</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>12.6</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 06:10:03</th>\n",
       "      <td>171</td>\n",
       "      <td>222</td>\n",
       "      <td>263</td>\n",
       "      <td>2.5</td>\n",
       "      <td>10.2</td>\n",
       "      <td>20.5</td>\n",
       "      <td>12.4</td>\n",
       "      <td>86.5</td>\n",
       "      <td>1003.1</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>12.5</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 06:20:03</th>\n",
       "      <td>187</td>\n",
       "      <td>225</td>\n",
       "      <td>283</td>\n",
       "      <td>1.4</td>\n",
       "      <td>6.4</td>\n",
       "      <td>15.2</td>\n",
       "      <td>12.7</td>\n",
       "      <td>86.0</td>\n",
       "      <td>1003.1</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 06:30:03</th>\n",
       "      <td>174</td>\n",
       "      <td>219</td>\n",
       "      <td>261</td>\n",
       "      <td>4.9</td>\n",
       "      <td>10.9</td>\n",
       "      <td>19.1</td>\n",
       "      <td>13.0</td>\n",
       "      <td>84.5</td>\n",
       "      <td>1003.1</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>13.8</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 06:40:03</th>\n",
       "      <td>174</td>\n",
       "      <td>225</td>\n",
       "      <td>273</td>\n",
       "      <td>2.5</td>\n",
       "      <td>8.6</td>\n",
       "      <td>14.6</td>\n",
       "      <td>13.4</td>\n",
       "      <td>83.2</td>\n",
       "      <td>1003.2</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>14.2</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 06:50:03</th>\n",
       "      <td>130</td>\n",
       "      <td>219</td>\n",
       "      <td>280</td>\n",
       "      <td>1.8</td>\n",
       "      <td>6.9</td>\n",
       "      <td>13.9</td>\n",
       "      <td>13.7</td>\n",
       "      <td>82.6</td>\n",
       "      <td>1003.3</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>14.2</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 07:00:03</th>\n",
       "      <td>182</td>\n",
       "      <td>236</td>\n",
       "      <td>282</td>\n",
       "      <td>1.5</td>\n",
       "      <td>7.1</td>\n",
       "      <td>11.1</td>\n",
       "      <td>14.0</td>\n",
       "      <td>81.5</td>\n",
       "      <td>1003.3</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>14.9</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 07:10:03</th>\n",
       "      <td>189</td>\n",
       "      <td>243</td>\n",
       "      <td>292</td>\n",
       "      <td>4.8</td>\n",
       "      <td>11.1</td>\n",
       "      <td>18.3</td>\n",
       "      <td>14.4</td>\n",
       "      <td>79.9</td>\n",
       "      <td>1003.4</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>15.6</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 07:20:03</th>\n",
       "      <td>153</td>\n",
       "      <td>234</td>\n",
       "      <td>323</td>\n",
       "      <td>1.1</td>\n",
       "      <td>5.9</td>\n",
       "      <td>10.8</td>\n",
       "      <td>14.7</td>\n",
       "      <td>78.3</td>\n",
       "      <td>1003.6</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>15.9</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 07:30:04</th>\n",
       "      <td>201</td>\n",
       "      <td>248</td>\n",
       "      <td>290</td>\n",
       "      <td>2.4</td>\n",
       "      <td>6.3</td>\n",
       "      <td>13.1</td>\n",
       "      <td>15.2</td>\n",
       "      <td>74.9</td>\n",
       "      <td>1003.5</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>17.1</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 07:40:03</th>\n",
       "      <td>171</td>\n",
       "      <td>231</td>\n",
       "      <td>299</td>\n",
       "      <td>2.1</td>\n",
       "      <td>10.2</td>\n",
       "      <td>17.1</td>\n",
       "      <td>15.3</td>\n",
       "      <td>71.9</td>\n",
       "      <td>1003.6</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>17.1</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 07:50:03</th>\n",
       "      <td>225</td>\n",
       "      <td>257</td>\n",
       "      <td>306</td>\n",
       "      <td>1.4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>13.2</td>\n",
       "      <td>15.5</td>\n",
       "      <td>72.9</td>\n",
       "      <td>1003.6</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>17.1</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 08:00:03</th>\n",
       "      <td>131</td>\n",
       "      <td>228</td>\n",
       "      <td>304</td>\n",
       "      <td>3.3</td>\n",
       "      <td>10.0</td>\n",
       "      <td>18.5</td>\n",
       "      <td>15.9</td>\n",
       "      <td>69.5</td>\n",
       "      <td>1003.7</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 08:20:04</th>\n",
       "      <td>124</td>\n",
       "      <td>234</td>\n",
       "      <td>284</td>\n",
       "      <td>2.2</td>\n",
       "      <td>6.4</td>\n",
       "      <td>10.0</td>\n",
       "      <td>16.9</td>\n",
       "      <td>65.3</td>\n",
       "      <td>1003.5</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>19.2</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 08:30:03</th>\n",
       "      <td>157</td>\n",
       "      <td>246</td>\n",
       "      <td>316</td>\n",
       "      <td>3.3</td>\n",
       "      <td>10.4</td>\n",
       "      <td>22.1</td>\n",
       "      <td>17.3</td>\n",
       "      <td>62.3</td>\n",
       "      <td>1003.7</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>19.7</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 08:40:03</th>\n",
       "      <td>179</td>\n",
       "      <td>233</td>\n",
       "      <td>329</td>\n",
       "      <td>1.7</td>\n",
       "      <td>9.5</td>\n",
       "      <td>19.8</td>\n",
       "      <td>17.5</td>\n",
       "      <td>58.9</td>\n",
       "      <td>1003.6</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>20.1</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 08:50:03</th>\n",
       "      <td>180</td>\n",
       "      <td>239</td>\n",
       "      <td>282</td>\n",
       "      <td>4.4</td>\n",
       "      <td>11.4</td>\n",
       "      <td>23.2</td>\n",
       "      <td>17.6</td>\n",
       "      <td>58.3</td>\n",
       "      <td>1003.6</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>19.9</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 09:00:04</th>\n",
       "      <td>123</td>\n",
       "      <td>225</td>\n",
       "      <td>285</td>\n",
       "      <td>1.4</td>\n",
       "      <td>8.9</td>\n",
       "      <td>21.4</td>\n",
       "      <td>18.2</td>\n",
       "      <td>56.2</td>\n",
       "      <td>1003.6</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>20.6</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 09:10:03</th>\n",
       "      <td>133</td>\n",
       "      <td>224</td>\n",
       "      <td>322</td>\n",
       "      <td>1.6</td>\n",
       "      <td>7.8</td>\n",
       "      <td>18.1</td>\n",
       "      <td>18.6</td>\n",
       "      <td>54.5</td>\n",
       "      <td>1003.6</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>21.3</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 09:20:03</th>\n",
       "      <td>168</td>\n",
       "      <td>250</td>\n",
       "      <td>332</td>\n",
       "      <td>0.8</td>\n",
       "      <td>7.7</td>\n",
       "      <td>16.2</td>\n",
       "      <td>18.5</td>\n",
       "      <td>52.8</td>\n",
       "      <td>1003.5</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>20.9</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 09:30:03</th>\n",
       "      <td>175</td>\n",
       "      <td>239</td>\n",
       "      <td>284</td>\n",
       "      <td>1.2</td>\n",
       "      <td>9.7</td>\n",
       "      <td>17.6</td>\n",
       "      <td>18.8</td>\n",
       "      <td>53.0</td>\n",
       "      <td>1003.6</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>21.5</td>\n",
       "      <td>15</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3.502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 09:40:03</th>\n",
       "      <td>199</td>\n",
       "      <td>254</td>\n",
       "      <td>303</td>\n",
       "      <td>3.9</td>\n",
       "      <td>9.3</td>\n",
       "      <td>15.6</td>\n",
       "      <td>19.2</td>\n",
       "      <td>52.2</td>\n",
       "      <td>1003.6</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>21.8</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 09:50:03</th>\n",
       "      <td>147</td>\n",
       "      <td>246</td>\n",
       "      <td>292</td>\n",
       "      <td>2.4</td>\n",
       "      <td>10.2</td>\n",
       "      <td>24.1</td>\n",
       "      <td>19.5</td>\n",
       "      <td>51.0</td>\n",
       "      <td>1003.7</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>22.1</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 10:00:03</th>\n",
       "      <td>192</td>\n",
       "      <td>251</td>\n",
       "      <td>282</td>\n",
       "      <td>3.1</td>\n",
       "      <td>11.4</td>\n",
       "      <td>20.5</td>\n",
       "      <td>19.5</td>\n",
       "      <td>52.3</td>\n",
       "      <td>1003.6</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>15</td>\n",
       "      <td>15.2</td>\n",
       "      <td>3.501</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>208652 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     direction_Vmin  direction_Vmoy  direction_Vmax  Vmin  \\\n",
       "Timestamp                                                                   \n",
       "2011-03-07 17:30:03              56              91             131   2.3   \n",
       "2011-03-16 17:00:03             337              58             135   1.0   \n",
       "2011-03-16 16:50:03              52              60              74   1.9   \n",
       "2011-03-16 16:40:03              33              54              64   2.6   \n",
       "2011-03-16 16:30:03              18              62              97   3.4   \n",
       "2011-03-07 17:40:03              80              92             109   3.5   \n",
       "2011-03-07 17:50:03              79              92             118   3.7   \n",
       "2011-03-07 18:00:03              89             113             154   1.7   \n",
       "2011-03-07 18:10:03              74              84              96   2.4   \n",
       "2011-03-07 18:20:03              76              96             142   2.8   \n",
       "2011-03-07 18:30:04              62             104             153   0.7   \n",
       "2011-03-07 18:40:03              83              89             106   3.6   \n",
       "2011-03-07 18:50:03              75              92             123   3.2   \n",
       "2011-03-07 19:00:03              79              87              99   6.0   \n",
       "2011-03-07 19:10:03              84             104             135   2.4   \n",
       "2011-03-07 19:20:03              85             101             117   2.3   \n",
       "2011-03-07 19:30:03              77              95             113   4.0   \n",
       "2011-03-07 19:40:03              62              96             120   2.0   \n",
       "2011-03-07 19:50:03              87             100             125   4.3   \n",
       "2011-03-07 20:00:03              64              86             107   2.9   \n",
       "2011-03-07 20:10:03              65              82             119   2.1   \n",
       "2011-03-07 20:20:03              80              89              97   3.4   \n",
       "2011-03-07 20:30:03              85             105             133   2.0   \n",
       "2011-03-07 20:40:03              95             105             130   2.0   \n",
       "2011-03-07 20:50:03             110             117             128   2.4   \n",
       "2011-03-07 21:00:03             106             114             121   2.1   \n",
       "2011-03-07 21:10:03             112             118             129   2.9   \n",
       "2011-03-07 21:20:03             112             121             128   2.3   \n",
       "2011-03-07 21:30:03              11              41              53   1.4   \n",
       "2011-03-07 21:40:03              61              67              73   1.6   \n",
       "...                             ...             ...             ...   ...   \n",
       "2015-06-02 05:00:04             160             219             276   2.6   \n",
       "2015-06-02 05:10:03             142             207             283   0.7   \n",
       "2015-06-02 05:20:03             129             247             339   1.1   \n",
       "2015-06-02 05:30:03             108             232             296   1.6   \n",
       "2015-06-02 05:40:03             173             223             274   1.7   \n",
       "2015-06-02 05:50:03             189             235             294   1.9   \n",
       "2015-06-02 06:00:03             163             225             269   2.8   \n",
       "2015-06-02 06:10:03             171             222             263   2.5   \n",
       "2015-06-02 06:20:03             187             225             283   1.4   \n",
       "2015-06-02 06:30:03             174             219             261   4.9   \n",
       "2015-06-02 06:40:03             174             225             273   2.5   \n",
       "2015-06-02 06:50:03             130             219             280   1.8   \n",
       "2015-06-02 07:00:03             182             236             282   1.5   \n",
       "2015-06-02 07:10:03             189             243             292   4.8   \n",
       "2015-06-02 07:20:03             153             234             323   1.1   \n",
       "2015-06-02 07:30:04             201             248             290   2.4   \n",
       "2015-06-02 07:40:03             171             231             299   2.1   \n",
       "2015-06-02 07:50:03             225             257             306   1.4   \n",
       "2015-06-02 08:00:03             131             228             304   3.3   \n",
       "2015-06-02 08:20:04             124             234             284   2.2   \n",
       "2015-06-02 08:30:03             157             246             316   3.3   \n",
       "2015-06-02 08:40:03             179             233             329   1.7   \n",
       "2015-06-02 08:50:03             180             239             282   4.4   \n",
       "2015-06-02 09:00:04             123             225             285   1.4   \n",
       "2015-06-02 09:10:03             133             224             322   1.6   \n",
       "2015-06-02 09:20:03             168             250             332   0.8   \n",
       "2015-06-02 09:30:03             175             239             284   1.2   \n",
       "2015-06-02 09:40:03             199             254             303   3.9   \n",
       "2015-06-02 09:50:03             147             246             292   2.4   \n",
       "2015-06-02 10:00:03             192             251             282   3.1   \n",
       "\n",
       "                     Vmoy  Vmax    Ta    HR      Pa  Accumulation_P  ...    \\\n",
       "Timestamp                                                            ...     \n",
       "2011-03-07 17:30:03   3.6   6.4  10.3  51.4  1006.5           22.83  ...     \n",
       "2011-03-16 17:00:03   2.1   4.5  15.7  60.0   987.4           26.79  ...     \n",
       "2011-03-16 16:50:03   3.5   4.8  15.8  59.2   987.3           26.79  ...     \n",
       "2011-03-16 16:40:03   5.6   7.8  15.9  58.8   987.2           26.79  ...     \n",
       "2011-03-16 16:30:03   5.0   7.2  16.0  57.6   987.1           26.79  ...     \n",
       "2011-03-07 17:40:03   5.6   7.2  10.0  52.2  1006.5           22.83  ...     \n",
       "2011-03-07 17:50:03   4.9   5.7   9.5  53.6  1006.6           22.83  ...     \n",
       "2011-03-07 18:00:03   2.3   3.0   9.1  55.1  1006.6           22.83  ...     \n",
       "2011-03-07 18:10:03   3.2   3.8   8.7  57.0  1006.7           22.83  ...     \n",
       "2011-03-07 18:20:03   3.8   4.8   8.5  57.1  1006.8           22.83  ...     \n",
       "2011-03-07 18:30:04   2.4   3.1   8.2  57.9  1006.8           22.83  ...     \n",
       "2011-03-07 18:40:03   4.6   5.2   8.0  58.7  1006.9           22.83  ...     \n",
       "2011-03-07 18:50:03   4.8   5.9   7.9  58.8  1006.9           22.83  ...     \n",
       "2011-03-07 19:00:03   7.0   8.6   7.6  59.4  1007.0           22.83  ...     \n",
       "2011-03-07 19:10:03   3.3   4.3   7.5  59.9  1007.0           22.83  ...     \n",
       "2011-03-07 19:20:03   3.1   3.9   7.1  61.7  1007.1           22.83  ...     \n",
       "2011-03-07 19:30:03   5.2   6.7   7.0  61.9  1007.1           22.83  ...     \n",
       "2011-03-07 19:40:03   3.5   4.3   7.1  61.7  1007.1           22.83  ...     \n",
       "2011-03-07 19:50:03   5.9   8.1   6.7  62.8  1007.1           22.83  ...     \n",
       "2011-03-07 20:00:03   4.3   5.3   6.3  64.2  1007.0           22.83  ...     \n",
       "2011-03-07 20:10:03   3.9   5.9   6.2  64.8  1007.0           22.83  ...     \n",
       "2011-03-07 20:20:03   4.9   6.5   6.0  65.3  1007.1           22.83  ...     \n",
       "2011-03-07 20:30:03   2.8   3.7   5.8  66.5  1007.2           22.83  ...     \n",
       "2011-03-07 20:40:03   2.7   3.6   5.5  67.9  1007.2           22.83  ...     \n",
       "2011-03-07 20:50:03   3.0   3.6   5.4  68.3  1007.2           22.83  ...     \n",
       "2011-03-07 21:00:03   2.7   3.2   5.6  67.5  1007.3           22.83  ...     \n",
       "2011-03-07 21:10:03   3.4   3.8   5.3  68.5  1007.3           22.83  ...     \n",
       "2011-03-07 21:20:03   2.7   3.0   5.2  68.7  1007.4           22.83  ...     \n",
       "2011-03-07 21:30:03   2.1   2.9   4.9  69.7  1007.4           22.83  ...     \n",
       "2011-03-07 21:40:03   2.5   3.3   4.9  69.7  1007.4           22.83  ...     \n",
       "...                   ...   ...   ...   ...     ...             ...  ...     \n",
       "2015-06-02 05:00:04   7.7  14.1  10.9  89.9  1002.5            0.00  ...     \n",
       "2015-06-02 05:10:03   4.1   8.1  11.1  89.6  1002.6            0.00  ...     \n",
       "2015-06-02 05:20:03   5.0  10.0  11.1  89.3  1002.7            0.00  ...     \n",
       "2015-06-02 05:30:03   4.5   9.1  11.3  89.2  1002.7            0.00  ...     \n",
       "2015-06-02 05:40:03   6.8  15.1  11.6  88.7  1002.8            0.00  ...     \n",
       "2015-06-02 05:50:03   6.2  10.4  11.9  88.1  1002.9            0.00  ...     \n",
       "2015-06-02 06:00:03   8.0  15.4  12.3  86.9  1002.9            0.00  ...     \n",
       "2015-06-02 06:10:03  10.2  20.5  12.4  86.5  1003.1            0.00  ...     \n",
       "2015-06-02 06:20:03   6.4  15.2  12.7  86.0  1003.1            0.00  ...     \n",
       "2015-06-02 06:30:03  10.9  19.1  13.0  84.5  1003.1            0.00  ...     \n",
       "2015-06-02 06:40:03   8.6  14.6  13.4  83.2  1003.2            0.00  ...     \n",
       "2015-06-02 06:50:03   6.9  13.9  13.7  82.6  1003.3            0.00  ...     \n",
       "2015-06-02 07:00:03   7.1  11.1  14.0  81.5  1003.3            0.00  ...     \n",
       "2015-06-02 07:10:03  11.1  18.3  14.4  79.9  1003.4            0.00  ...     \n",
       "2015-06-02 07:20:03   5.9  10.8  14.7  78.3  1003.6            0.00  ...     \n",
       "2015-06-02 07:30:04   6.3  13.1  15.2  74.9  1003.5            0.00  ...     \n",
       "2015-06-02 07:40:03  10.2  17.1  15.3  71.9  1003.6            0.00  ...     \n",
       "2015-06-02 07:50:03   7.0  13.2  15.5  72.9  1003.6            0.00  ...     \n",
       "2015-06-02 08:00:03  10.0  18.5  15.9  69.5  1003.7            0.00  ...     \n",
       "2015-06-02 08:20:04   6.4  10.0  16.9  65.3  1003.5            0.00  ...     \n",
       "2015-06-02 08:30:03  10.4  22.1  17.3  62.3  1003.7            0.00  ...     \n",
       "2015-06-02 08:40:03   9.5  19.8  17.5  58.9  1003.6            0.00  ...     \n",
       "2015-06-02 08:50:03  11.4  23.2  17.6  58.3  1003.6            0.00  ...     \n",
       "2015-06-02 09:00:04   8.9  21.4  18.2  56.2  1003.6            0.00  ...     \n",
       "2015-06-02 09:10:03   7.8  18.1  18.6  54.5  1003.6            0.00  ...     \n",
       "2015-06-02 09:20:03   7.7  16.2  18.5  52.8  1003.5            0.00  ...     \n",
       "2015-06-02 09:30:03   9.7  17.6  18.8  53.0  1003.6            0.00  ...     \n",
       "2015-06-02 09:40:03   9.3  15.6  19.2  52.2  1003.6            0.00  ...     \n",
       "2015-06-02 09:50:03  10.2  24.1  19.5  51.0  1003.7            0.00  ...     \n",
       "2015-06-02 10:00:03  11.4  20.5  19.5  52.3  1003.6            0.00  ...     \n",
       "\n",
       "                     Intensite_P  Accumulation_G  Duree_G  Intensite_G  \\\n",
       "Timestamp                                                                \n",
       "2011-03-07 17:30:03            0               0        0            0   \n",
       "2011-03-16 17:00:03            0               0        0            0   \n",
       "2011-03-16 16:50:03            0               0        0            0   \n",
       "2011-03-16 16:40:03            0               0        0            0   \n",
       "2011-03-16 16:30:03            0               0        0            0   \n",
       "2011-03-07 17:40:03            0               0        0            0   \n",
       "2011-03-07 17:50:03            0               0        0            0   \n",
       "2011-03-07 18:00:03            0               0        0            0   \n",
       "2011-03-07 18:10:03            0               0        0            0   \n",
       "2011-03-07 18:20:03            0               0        0            0   \n",
       "2011-03-07 18:30:04            0               0        0            0   \n",
       "2011-03-07 18:40:03            0               0        0            0   \n",
       "2011-03-07 18:50:03            0               0        0            0   \n",
       "2011-03-07 19:00:03            0               0        0            0   \n",
       "2011-03-07 19:10:03            0               0        0            0   \n",
       "2011-03-07 19:20:03            0               0        0            0   \n",
       "2011-03-07 19:30:03            0               0        0            0   \n",
       "2011-03-07 19:40:03            0               0        0            0   \n",
       "2011-03-07 19:50:03            0               0        0            0   \n",
       "2011-03-07 20:00:03            0               0        0            0   \n",
       "2011-03-07 20:10:03            0               0        0            0   \n",
       "2011-03-07 20:20:03            0               0        0            0   \n",
       "2011-03-07 20:30:03            0               0        0            0   \n",
       "2011-03-07 20:40:03            0               0        0            0   \n",
       "2011-03-07 20:50:03            0               0        0            0   \n",
       "2011-03-07 21:00:03            0               0        0            0   \n",
       "2011-03-07 21:10:03            0               0        0            0   \n",
       "2011-03-07 21:20:03            0               0        0            0   \n",
       "2011-03-07 21:30:03            0               0        0            0   \n",
       "2011-03-07 21:40:03            0               0        0            0   \n",
       "...                          ...             ...      ...          ...   \n",
       "2015-06-02 05:00:04            0               0        0            0   \n",
       "2015-06-02 05:10:03            0               0        0            0   \n",
       "2015-06-02 05:20:03            0               0        0            0   \n",
       "2015-06-02 05:30:03            0               0        0            0   \n",
       "2015-06-02 05:40:03            0               0        0            0   \n",
       "2015-06-02 05:50:03            0               0        0            0   \n",
       "2015-06-02 06:00:03            0               0        0            0   \n",
       "2015-06-02 06:10:03            0               0        0            0   \n",
       "2015-06-02 06:20:03            0               0        0            0   \n",
       "2015-06-02 06:30:03            0               0        0            0   \n",
       "2015-06-02 06:40:03            0               0        0            0   \n",
       "2015-06-02 06:50:03            0               0        0            0   \n",
       "2015-06-02 07:00:03            0               0        0            0   \n",
       "2015-06-02 07:10:03            0               0        0            0   \n",
       "2015-06-02 07:20:03            0               0        0            0   \n",
       "2015-06-02 07:30:04            0               0        0            0   \n",
       "2015-06-02 07:40:03            0               0        0            0   \n",
       "2015-06-02 07:50:03            0               0        0            0   \n",
       "2015-06-02 08:00:03            0               0        0            0   \n",
       "2015-06-02 08:20:04            0               0        0            0   \n",
       "2015-06-02 08:30:03            0               0        0            0   \n",
       "2015-06-02 08:40:03            0               0        0            0   \n",
       "2015-06-02 08:50:03            0               0        0            0   \n",
       "2015-06-02 09:00:04            0               0        0            0   \n",
       "2015-06-02 09:10:03            0               0        0            0   \n",
       "2015-06-02 09:20:03            0               0        0            0   \n",
       "2015-06-02 09:30:03            0               0        0            0   \n",
       "2015-06-02 09:40:03            0               0        0            0   \n",
       "2015-06-02 09:50:03            0               0        0            0   \n",
       "2015-06-02 10:00:03            0               0        0            0   \n",
       "\n",
       "                     Intensite_P_max  Intensite_G_max  Tchauffage  Uchauffage  \\\n",
       "Timestamp                                                                       \n",
       "2011-03-07 17:30:03             37.2                0         9.2          15   \n",
       "2011-03-16 17:00:03             39.9                0        15.2          15   \n",
       "2011-03-16 16:50:03             39.9                0        15.2          15   \n",
       "2011-03-16 16:40:03             39.9                0        15.4          15   \n",
       "2011-03-16 16:30:03             39.9                0        15.6          15   \n",
       "2011-03-07 17:40:03             37.2                0         8.7          15   \n",
       "2011-03-07 17:50:03             37.2                0         8.0          15   \n",
       "2011-03-07 18:00:03             37.2                0         7.3          15   \n",
       "2011-03-07 18:10:03             37.2                0         6.7          15   \n",
       "2011-03-07 18:20:03             37.2                0         6.6          15   \n",
       "2011-03-07 18:30:04             37.2                0         6.2          15   \n",
       "2011-03-07 18:40:03             37.2                0         5.9          15   \n",
       "2011-03-07 18:50:03             37.2                0         5.9          15   \n",
       "2011-03-07 19:00:03             37.2                0         5.7          15   \n",
       "2011-03-07 19:10:03             37.2                0         5.5          15   \n",
       "2011-03-07 19:20:03             37.2                0         5.0          15   \n",
       "2011-03-07 19:30:03             37.2                0         4.8          15   \n",
       "2011-03-07 19:40:03             37.2                0         4.8          15   \n",
       "2011-03-07 19:50:03             37.2                0         4.7          15   \n",
       "2011-03-07 20:00:03             37.2                0         4.5          15   \n",
       "2011-03-07 20:10:03             37.2                0         4.3          15   \n",
       "2011-03-07 20:20:03             37.2                0         4.2          15   \n",
       "2011-03-07 20:30:03             37.2                0         4.0          15   \n",
       "2011-03-07 20:40:03             37.2                0         4.2          15   \n",
       "2011-03-07 20:50:03             37.2                0         4.8          15   \n",
       "2011-03-07 21:00:03             37.2                0         4.0          15   \n",
       "2011-03-07 21:10:03             37.2                0         4.2          15   \n",
       "2011-03-07 21:20:03             37.2                0         3.6          15   \n",
       "2011-03-07 21:30:03             37.2                0         4.5          15   \n",
       "2011-03-07 21:40:03             37.2                0         5.0          15   \n",
       "...                              ...              ...         ...         ...   \n",
       "2015-06-02 05:00:04              0.0                0         9.9          15   \n",
       "2015-06-02 05:10:03              0.0                0        10.2          15   \n",
       "2015-06-02 05:20:03              0.0                0        10.4          15   \n",
       "2015-06-02 05:30:03              0.0                0        10.9          15   \n",
       "2015-06-02 05:40:03              0.0                0        11.4          15   \n",
       "2015-06-02 05:50:03              0.0                0        12.1          15   \n",
       "2015-06-02 06:00:03              0.0                0        12.6          15   \n",
       "2015-06-02 06:10:03              0.0                0        12.5          15   \n",
       "2015-06-02 06:20:03              0.0                0        13.0          15   \n",
       "2015-06-02 06:30:03              0.0                0        13.8          15   \n",
       "2015-06-02 06:40:03              0.0                0        14.2          15   \n",
       "2015-06-02 06:50:03              0.0                0        14.2          15   \n",
       "2015-06-02 07:00:03              0.0                0        14.9          15   \n",
       "2015-06-02 07:10:03              0.0                0        15.6          15   \n",
       "2015-06-02 07:20:03              0.0                0        15.9          15   \n",
       "2015-06-02 07:30:04              0.0                0        17.1          15   \n",
       "2015-06-02 07:40:03              0.0                0        17.1          15   \n",
       "2015-06-02 07:50:03              0.0                0        17.1          15   \n",
       "2015-06-02 08:00:03              0.0                0        18.0          15   \n",
       "2015-06-02 08:20:04              0.0                0        19.2          15   \n",
       "2015-06-02 08:30:03              0.0                0        19.7          15   \n",
       "2015-06-02 08:40:03              0.0                0        20.1          15   \n",
       "2015-06-02 08:50:03              0.0                0        19.9          15   \n",
       "2015-06-02 09:00:04              0.0                0        20.6          15   \n",
       "2015-06-02 09:10:03              0.0                0        21.3          15   \n",
       "2015-06-02 09:20:03              0.0                0        20.9          15   \n",
       "2015-06-02 09:30:03              0.0                0        21.5          15   \n",
       "2015-06-02 09:40:03              0.0                0        21.8          15   \n",
       "2015-06-02 09:50:03              0.0                0        22.1          15   \n",
       "2015-06-02 10:00:03              0.0                0        22.0          15   \n",
       "\n",
       "                     Ualim   Uref  \n",
       "Timestamp                          \n",
       "2011-03-07 17:30:03   15.3  3.503  \n",
       "2011-03-16 17:00:03   15.2  3.502  \n",
       "2011-03-16 16:50:03   15.2  3.503  \n",
       "2011-03-16 16:40:03   15.2  3.502  \n",
       "2011-03-16 16:30:03   15.3  3.503  \n",
       "2011-03-07 17:40:03   15.2  3.505  \n",
       "2011-03-07 17:50:03   15.2  3.503  \n",
       "2011-03-07 18:00:03   15.3  3.504  \n",
       "2011-03-07 18:10:03   15.2  3.505  \n",
       "2011-03-07 18:20:03   15.2  3.504  \n",
       "2011-03-07 18:30:04   15.3  3.503  \n",
       "2011-03-07 18:40:03   15.2  3.503  \n",
       "2011-03-07 18:50:03   15.2  3.503  \n",
       "2011-03-07 19:00:03   15.3  3.504  \n",
       "2011-03-07 19:10:03   15.2  3.503  \n",
       "2011-03-07 19:20:03   15.2  3.503  \n",
       "2011-03-07 19:30:03   15.2  3.504  \n",
       "2011-03-07 19:40:03   15.2  3.504  \n",
       "2011-03-07 19:50:03   15.2  3.503  \n",
       "2011-03-07 20:00:03   15.2  3.503  \n",
       "2011-03-07 20:10:03   15.2  3.504  \n",
       "2011-03-07 20:20:03   15.2  3.503  \n",
       "2011-03-07 20:30:03   15.2  3.504  \n",
       "2011-03-07 20:40:03   15.2  3.504  \n",
       "2011-03-07 20:50:03   15.2  3.502  \n",
       "2011-03-07 21:00:03   15.2  3.505  \n",
       "2011-03-07 21:10:03   15.2  3.503  \n",
       "2011-03-07 21:20:03   15.2  3.504  \n",
       "2011-03-07 21:30:03   15.2  3.503  \n",
       "2011-03-07 21:40:03   15.2  3.503  \n",
       "...                    ...    ...  \n",
       "2015-06-02 05:00:04   15.3  3.504  \n",
       "2015-06-02 05:10:03   15.3  3.503  \n",
       "2015-06-02 05:20:03   15.3  3.503  \n",
       "2015-06-02 05:30:03   15.3  3.503  \n",
       "2015-06-02 05:40:03   15.3  3.503  \n",
       "2015-06-02 05:50:03   15.3  3.504  \n",
       "2015-06-02 06:00:03   15.3  3.503  \n",
       "2015-06-02 06:10:03   15.3  3.503  \n",
       "2015-06-02 06:20:03   15.2  3.502  \n",
       "2015-06-02 06:30:03   15.3  3.503  \n",
       "2015-06-02 06:40:03   15.3  3.503  \n",
       "2015-06-02 06:50:03   15.3  3.503  \n",
       "2015-06-02 07:00:03   15.3  3.502  \n",
       "2015-06-02 07:10:03   15.3  3.502  \n",
       "2015-06-02 07:20:03   15.3  3.504  \n",
       "2015-06-02 07:30:04   15.3  3.503  \n",
       "2015-06-02 07:40:03   15.3  3.502  \n",
       "2015-06-02 07:50:03   15.2  3.503  \n",
       "2015-06-02 08:00:03   15.2  3.503  \n",
       "2015-06-02 08:20:04   15.2  3.502  \n",
       "2015-06-02 08:30:03   15.2  3.502  \n",
       "2015-06-02 08:40:03   15.3  3.501  \n",
       "2015-06-02 08:50:03   15.3  3.503  \n",
       "2015-06-02 09:00:04   15.3  3.502  \n",
       "2015-06-02 09:10:03   15.3  3.502  \n",
       "2015-06-02 09:20:03   15.3  3.502  \n",
       "2015-06-02 09:30:03   15.3  3.502  \n",
       "2015-06-02 09:40:03   15.2  3.502  \n",
       "2015-06-02 09:50:03   15.2  3.501  \n",
       "2015-06-02 10:00:03   15.2  3.501  \n",
       "\n",
       "[208652 rows x 21 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.io.sql.read_sql('SELECT * from data', cnx)\n",
    "df = df.set_index('Timestamp')\n",
    "df = df.ix['2011-01-01':]\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>speed</th>\n",
       "      <th>direction</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Timestamp</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011-03-07 17:30:03</th>\n",
       "      <td>3.6</td>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-16 17:00:03</th>\n",
       "      <td>2.1</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-16 16:50:03</th>\n",
       "      <td>3.5</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-16 16:40:03</th>\n",
       "      <td>5.6</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-16 16:30:03</th>\n",
       "      <td>5.0</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 17:40:03</th>\n",
       "      <td>5.6</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 17:50:03</th>\n",
       "      <td>4.9</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 18:00:03</th>\n",
       "      <td>2.3</td>\n",
       "      <td>113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 18:10:03</th>\n",
       "      <td>3.2</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 18:20:03</th>\n",
       "      <td>3.8</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 18:30:04</th>\n",
       "      <td>2.4</td>\n",
       "      <td>104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 18:40:03</th>\n",
       "      <td>4.6</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 18:50:03</th>\n",
       "      <td>4.8</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 19:00:03</th>\n",
       "      <td>7.0</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 19:10:03</th>\n",
       "      <td>3.3</td>\n",
       "      <td>104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 19:20:03</th>\n",
       "      <td>3.1</td>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 19:30:03</th>\n",
       "      <td>5.2</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 19:40:03</th>\n",
       "      <td>3.5</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 19:50:03</th>\n",
       "      <td>5.9</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 20:00:03</th>\n",
       "      <td>4.3</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 20:10:03</th>\n",
       "      <td>3.9</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 20:20:03</th>\n",
       "      <td>4.9</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 20:30:03</th>\n",
       "      <td>2.8</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 20:40:03</th>\n",
       "      <td>2.7</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 20:50:03</th>\n",
       "      <td>3.0</td>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 21:00:03</th>\n",
       "      <td>2.7</td>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 21:10:03</th>\n",
       "      <td>3.4</td>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 21:20:03</th>\n",
       "      <td>2.7</td>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 21:30:03</th>\n",
       "      <td>2.1</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 21:40:03</th>\n",
       "      <td>2.5</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 05:00:04</th>\n",
       "      <td>7.7</td>\n",
       "      <td>219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 05:10:03</th>\n",
       "      <td>4.1</td>\n",
       "      <td>207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 05:20:03</th>\n",
       "      <td>5.0</td>\n",
       "      <td>247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 05:30:03</th>\n",
       "      <td>4.5</td>\n",
       "      <td>232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 05:40:03</th>\n",
       "      <td>6.8</td>\n",
       "      <td>223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 05:50:03</th>\n",
       "      <td>6.2</td>\n",
       "      <td>235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 06:00:03</th>\n",
       "      <td>8.0</td>\n",
       "      <td>225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 06:10:03</th>\n",
       "      <td>10.2</td>\n",
       "      <td>222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 06:20:03</th>\n",
       "      <td>6.4</td>\n",
       "      <td>225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 06:30:03</th>\n",
       "      <td>10.9</td>\n",
       "      <td>219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 06:40:03</th>\n",
       "      <td>8.6</td>\n",
       "      <td>225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 06:50:03</th>\n",
       "      <td>6.9</td>\n",
       "      <td>219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 07:00:03</th>\n",
       "      <td>7.1</td>\n",
       "      <td>236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 07:10:03</th>\n",
       "      <td>11.1</td>\n",
       "      <td>243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 07:20:03</th>\n",
       "      <td>5.9</td>\n",
       "      <td>234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 07:30:04</th>\n",
       "      <td>6.3</td>\n",
       "      <td>248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 07:40:03</th>\n",
       "      <td>10.2</td>\n",
       "      <td>231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 07:50:03</th>\n",
       "      <td>7.0</td>\n",
       "      <td>257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 08:00:03</th>\n",
       "      <td>10.0</td>\n",
       "      <td>228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 08:20:04</th>\n",
       "      <td>6.4</td>\n",
       "      <td>234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 08:30:03</th>\n",
       "      <td>10.4</td>\n",
       "      <td>246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 08:40:03</th>\n",
       "      <td>9.5</td>\n",
       "      <td>233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 08:50:03</th>\n",
       "      <td>11.4</td>\n",
       "      <td>239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 09:00:04</th>\n",
       "      <td>8.9</td>\n",
       "      <td>225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 09:10:03</th>\n",
       "      <td>7.8</td>\n",
       "      <td>224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 09:20:03</th>\n",
       "      <td>7.7</td>\n",
       "      <td>250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 09:30:03</th>\n",
       "      <td>9.7</td>\n",
       "      <td>239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 09:40:03</th>\n",
       "      <td>9.3</td>\n",
       "      <td>254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 09:50:03</th>\n",
       "      <td>10.2</td>\n",
       "      <td>246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 10:00:03</th>\n",
       "      <td>11.4</td>\n",
       "      <td>251</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>208652 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     speed  direction\n",
       "Timestamp                            \n",
       "2011-03-07 17:30:03    3.6         91\n",
       "2011-03-16 17:00:03    2.1         58\n",
       "2011-03-16 16:50:03    3.5         60\n",
       "2011-03-16 16:40:03    5.6         54\n",
       "2011-03-16 16:30:03    5.0         62\n",
       "2011-03-07 17:40:03    5.6         92\n",
       "2011-03-07 17:50:03    4.9         92\n",
       "2011-03-07 18:00:03    2.3        113\n",
       "2011-03-07 18:10:03    3.2         84\n",
       "2011-03-07 18:20:03    3.8         96\n",
       "2011-03-07 18:30:04    2.4        104\n",
       "2011-03-07 18:40:03    4.6         89\n",
       "2011-03-07 18:50:03    4.8         92\n",
       "2011-03-07 19:00:03    7.0         87\n",
       "2011-03-07 19:10:03    3.3        104\n",
       "2011-03-07 19:20:03    3.1        101\n",
       "2011-03-07 19:30:03    5.2         95\n",
       "2011-03-07 19:40:03    3.5         96\n",
       "2011-03-07 19:50:03    5.9        100\n",
       "2011-03-07 20:00:03    4.3         86\n",
       "2011-03-07 20:10:03    3.9         82\n",
       "2011-03-07 20:20:03    4.9         89\n",
       "2011-03-07 20:30:03    2.8        105\n",
       "2011-03-07 20:40:03    2.7        105\n",
       "2011-03-07 20:50:03    3.0        117\n",
       "2011-03-07 21:00:03    2.7        114\n",
       "2011-03-07 21:10:03    3.4        118\n",
       "2011-03-07 21:20:03    2.7        121\n",
       "2011-03-07 21:30:03    2.1         41\n",
       "2011-03-07 21:40:03    2.5         67\n",
       "...                    ...        ...\n",
       "2015-06-02 05:00:04    7.7        219\n",
       "2015-06-02 05:10:03    4.1        207\n",
       "2015-06-02 05:20:03    5.0        247\n",
       "2015-06-02 05:30:03    4.5        232\n",
       "2015-06-02 05:40:03    6.8        223\n",
       "2015-06-02 05:50:03    6.2        235\n",
       "2015-06-02 06:00:03    8.0        225\n",
       "2015-06-02 06:10:03   10.2        222\n",
       "2015-06-02 06:20:03    6.4        225\n",
       "2015-06-02 06:30:03   10.9        219\n",
       "2015-06-02 06:40:03    8.6        225\n",
       "2015-06-02 06:50:03    6.9        219\n",
       "2015-06-02 07:00:03    7.1        236\n",
       "2015-06-02 07:10:03   11.1        243\n",
       "2015-06-02 07:20:03    5.9        234\n",
       "2015-06-02 07:30:04    6.3        248\n",
       "2015-06-02 07:40:03   10.2        231\n",
       "2015-06-02 07:50:03    7.0        257\n",
       "2015-06-02 08:00:03   10.0        228\n",
       "2015-06-02 08:20:04    6.4        234\n",
       "2015-06-02 08:30:03   10.4        246\n",
       "2015-06-02 08:40:03    9.5        233\n",
       "2015-06-02 08:50:03   11.4        239\n",
       "2015-06-02 09:00:04    8.9        225\n",
       "2015-06-02 09:10:03    7.8        224\n",
       "2015-06-02 09:20:03    7.7        250\n",
       "2015-06-02 09:30:03    9.7        239\n",
       "2015-06-02 09:40:03    9.3        254\n",
       "2015-06-02 09:50:03   10.2        246\n",
       "2015-06-02 10:00:03   11.4        251\n",
       "\n",
       "[208652 rows x 2 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df[['Vmoy', 'direction_Vmoy']]\n",
    "df = df.rename(columns={\n",
    "        'Vmoy': 'speed',\n",
    "        'direction_Vmoy': 'direction',\n",
    "    })\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>speed</th>\n",
       "      <th>direction</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Timestamp</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011-03-07 17:30:00</th>\n",
       "      <td>3.6</td>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 17:40:00</th>\n",
       "      <td>5.6</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 17:50:00</th>\n",
       "      <td>4.9</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 18:00:00</th>\n",
       "      <td>2.3</td>\n",
       "      <td>113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 18:10:00</th>\n",
       "      <td>3.2</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 18:20:00</th>\n",
       "      <td>3.8</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 18:30:00</th>\n",
       "      <td>2.4</td>\n",
       "      <td>104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 18:40:00</th>\n",
       "      <td>4.6</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 18:50:00</th>\n",
       "      <td>4.8</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 19:00:00</th>\n",
       "      <td>7.0</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 19:10:00</th>\n",
       "      <td>3.3</td>\n",
       "      <td>104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 19:20:00</th>\n",
       "      <td>3.1</td>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 19:30:00</th>\n",
       "      <td>5.2</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 19:40:00</th>\n",
       "      <td>3.5</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 19:50:00</th>\n",
       "      <td>5.9</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 20:00:00</th>\n",
       "      <td>4.3</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 20:10:00</th>\n",
       "      <td>3.9</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 20:20:00</th>\n",
       "      <td>4.9</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 20:30:00</th>\n",
       "      <td>2.8</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 20:40:00</th>\n",
       "      <td>2.7</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 20:50:00</th>\n",
       "      <td>3.0</td>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 21:00:00</th>\n",
       "      <td>2.7</td>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 21:10:00</th>\n",
       "      <td>3.4</td>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 21:20:00</th>\n",
       "      <td>2.7</td>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 21:30:00</th>\n",
       "      <td>2.1</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 21:40:00</th>\n",
       "      <td>2.5</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 21:50:00</th>\n",
       "      <td>3.8</td>\n",
       "      <td>113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 22:00:00</th>\n",
       "      <td>3.6</td>\n",
       "      <td>122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 22:10:00</th>\n",
       "      <td>3.3</td>\n",
       "      <td>127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03-07 22:20:00</th>\n",
       "      <td>3.1</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 05:10:00</th>\n",
       "      <td>4.1</td>\n",
       "      <td>207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 05:20:00</th>\n",
       "      <td>5.0</td>\n",
       "      <td>247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 05:30:00</th>\n",
       "      <td>4.5</td>\n",
       "      <td>232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 05:40:00</th>\n",
       "      <td>6.8</td>\n",
       "      <td>223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 05:50:00</th>\n",
       "      <td>6.2</td>\n",
       "      <td>235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 06:00:00</th>\n",
       "      <td>8.0</td>\n",
       "      <td>225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 06:10:00</th>\n",
       "      <td>10.2</td>\n",
       "      <td>222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 06:20:00</th>\n",
       "      <td>6.4</td>\n",
       "      <td>225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 06:30:00</th>\n",
       "      <td>10.9</td>\n",
       "      <td>219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 06:40:00</th>\n",
       "      <td>8.6</td>\n",
       "      <td>225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 06:50:00</th>\n",
       "      <td>6.9</td>\n",
       "      <td>219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 07:00:00</th>\n",
       "      <td>7.1</td>\n",
       "      <td>236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 07:10:00</th>\n",
       "      <td>11.1</td>\n",
       "      <td>243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 07:20:00</th>\n",
       "      <td>5.9</td>\n",
       "      <td>234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 07:30:00</th>\n",
       "      <td>6.3</td>\n",
       "      <td>248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 07:40:00</th>\n",
       "      <td>10.2</td>\n",
       "      <td>231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 07:50:00</th>\n",
       "      <td>7.0</td>\n",
       "      <td>257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 08:00:00</th>\n",
       "      <td>10.0</td>\n",
       "      <td>228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 08:10:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 08:20:00</th>\n",
       "      <td>6.4</td>\n",
       "      <td>234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 08:30:00</th>\n",
       "      <td>10.4</td>\n",
       "      <td>246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 08:40:00</th>\n",
       "      <td>9.5</td>\n",
       "      <td>233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 08:50:00</th>\n",
       "      <td>11.4</td>\n",
       "      <td>239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 09:00:00</th>\n",
       "      <td>8.9</td>\n",
       "      <td>225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 09:10:00</th>\n",
       "      <td>7.8</td>\n",
       "      <td>224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 09:20:00</th>\n",
       "      <td>7.7</td>\n",
       "      <td>250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 09:30:00</th>\n",
       "      <td>9.7</td>\n",
       "      <td>239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 09:40:00</th>\n",
       "      <td>9.3</td>\n",
       "      <td>254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 09:50:00</th>\n",
       "      <td>10.2</td>\n",
       "      <td>246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-02 10:00:00</th>\n",
       "      <td>11.4</td>\n",
       "      <td>251</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>222868 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     speed  direction\n",
       "Timestamp                            \n",
       "2011-03-07 17:30:00    3.6         91\n",
       "2011-03-07 17:40:00    5.6         92\n",
       "2011-03-07 17:50:00    4.9         92\n",
       "2011-03-07 18:00:00    2.3        113\n",
       "2011-03-07 18:10:00    3.2         84\n",
       "2011-03-07 18:20:00    3.8         96\n",
       "2011-03-07 18:30:00    2.4        104\n",
       "2011-03-07 18:40:00    4.6         89\n",
       "2011-03-07 18:50:00    4.8         92\n",
       "2011-03-07 19:00:00    7.0         87\n",
       "2011-03-07 19:10:00    3.3        104\n",
       "2011-03-07 19:20:00    3.1        101\n",
       "2011-03-07 19:30:00    5.2         95\n",
       "2011-03-07 19:40:00    3.5         96\n",
       "2011-03-07 19:50:00    5.9        100\n",
       "2011-03-07 20:00:00    4.3         86\n",
       "2011-03-07 20:10:00    3.9         82\n",
       "2011-03-07 20:20:00    4.9         89\n",
       "2011-03-07 20:30:00    2.8        105\n",
       "2011-03-07 20:40:00    2.7        105\n",
       "2011-03-07 20:50:00    3.0        117\n",
       "2011-03-07 21:00:00    2.7        114\n",
       "2011-03-07 21:10:00    3.4        118\n",
       "2011-03-07 21:20:00    2.7        121\n",
       "2011-03-07 21:30:00    2.1         41\n",
       "2011-03-07 21:40:00    2.5         67\n",
       "2011-03-07 21:50:00    3.8        113\n",
       "2011-03-07 22:00:00    3.6        122\n",
       "2011-03-07 22:10:00    3.3        127\n",
       "2011-03-07 22:20:00    3.1        126\n",
       "...                    ...        ...\n",
       "2015-06-02 05:10:00    4.1        207\n",
       "2015-06-02 05:20:00    5.0        247\n",
       "2015-06-02 05:30:00    4.5        232\n",
       "2015-06-02 05:40:00    6.8        223\n",
       "2015-06-02 05:50:00    6.2        235\n",
       "2015-06-02 06:00:00    8.0        225\n",
       "2015-06-02 06:10:00   10.2        222\n",
       "2015-06-02 06:20:00    6.4        225\n",
       "2015-06-02 06:30:00   10.9        219\n",
       "2015-06-02 06:40:00    8.6        225\n",
       "2015-06-02 06:50:00    6.9        219\n",
       "2015-06-02 07:00:00    7.1        236\n",
       "2015-06-02 07:10:00   11.1        243\n",
       "2015-06-02 07:20:00    5.9        234\n",
       "2015-06-02 07:30:00    6.3        248\n",
       "2015-06-02 07:40:00   10.2        231\n",
       "2015-06-02 07:50:00    7.0        257\n",
       "2015-06-02 08:00:00   10.0        228\n",
       "2015-06-02 08:10:00    NaN        NaN\n",
       "2015-06-02 08:20:00    6.4        234\n",
       "2015-06-02 08:30:00   10.4        246\n",
       "2015-06-02 08:40:00    9.5        233\n",
       "2015-06-02 08:50:00   11.4        239\n",
       "2015-06-02 09:00:00    8.9        225\n",
       "2015-06-02 09:10:00    7.8        224\n",
       "2015-06-02 09:20:00    7.7        250\n",
       "2015-06-02 09:30:00    9.7        239\n",
       "2015-06-02 09:40:00    9.3        254\n",
       "2015-06-02 09:50:00   10.2        246\n",
       "2015-06-02 10:00:00   11.4        251\n",
       "\n",
       "[222868 rows x 2 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.resample('10Min')\n",
    "#df = df.fillna(0)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#df.to_csv(\"samples/sample_wind_poitiers.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df['speed_x'] = df['speed'] * np.sin(df['direction'] * pi / 180.0)\n",
    "df['speed_y'] = df['speed'] * np.cos(df['direction'] * pi / 180.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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wnNOEvb90mtx3jWhW/0uAL0Uw7OB/AutDvN7pJumtiZb8fRENEbzWeyy6HCQO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\nUzGEfSG8LYJdibYM7kq0J8FCgX9ysDWBax18TLSj4Wa/E5mz71ozfZ8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jkxqN6WCVAO2B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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11520af10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 8), dpi=80)\n",
    "x0, x1 = ax.get_xlim()\n",
    "y0, y1 = ax.get_ylim()\n",
    "ax.set_aspect('equal')\n",
    "#_ = ax.scatter(df['speed_x'], df['speed_y'], alpha=0.25)\n",
    "_ = df.plot(kind='scatter', x='speed_x', y='speed_y', alpha=0.01, ax=ax)\n",
    "Vw = 80\n",
    "_ = ax.set_xlim([-Vw, Vw])\n",
    "_ = ax.set_ylim([-Vw, Vw])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "ws = df.speed.values\n",
    "wd = df.direction.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "VAR_DEFAULT = 'speed'\n",
    "DIR_DEFAULT = 'direction'\n",
    "def clean_df(df, var=VAR_DEFAULT, direction=DIR_DEFAULT):\n",
    "    '''\n",
    "    Remove nan and var=0 values in the DataFrame\n",
    "    if a var (wind speed) is nan or equal to 0, this row is\n",
    "    removed from DataFrame\n",
    "    if a direction is nan, this row is also removed from DataFrame\n",
    "    '''\n",
    "    return(df[df[var].notnull() & df[var]!=0 & df[direction].notnull()])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def clean(direction, var):\n",
    "    '''\n",
    "    Remove nan and var=0 values in the two arrays\n",
    "    if a var (wind speed) is nan or equal to 0, this data is\n",
    "    removed from var array but also from dir array\n",
    "    '''\n",
    "    dirmask = np.isfinite(direction)\n",
    "    varmask = (var!=0 & np.isfinite(var))\n",
    "    ind = dirmask*varmask\n",
    "    return direction[ind], var[ind]\n",
    "\n",
    "wd2, ws2 = clean(wd, ws)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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x9fXFwIED8ccff2DZsmW846i9V69elVh4h5SOBrmVztDQEAsWLBCOQ0JC8OjR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9eu2Y0DYVdLGHl5eQQEBFBQUOCQN+Ia7hTLgEgA0tIe5ubN+pb3I0lrIXocAPhfAKXt+5lIkiSU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\nAYKIiIgsxgBBREREFvs/b/Rm167CPcQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1177d1dd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = WindroseAxes.from_ax()\n",
    "ax.contour(wd2, ws2, bins=np.arange(0, 8, 1), cmap=cm.hot, lw=3)\n",
    "ax.set_legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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x9fXFwIED8ccff2DZsmW846i9V69elVh4h5SOBrmVztDQEAsWLBCOQ0JC8OjR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9eu2Y0DYVdLGHl5eQQEBFBQUOCQN+Ia7hTLgEgA0tIe5ubN+pb3I0lrIXocAPhfAKXt+5lIkiSU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\nAYKIiIgsxgBBREREFvs/b/Rm167CPcQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11500a210>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = WindroseAxes.from_ax()\n",
    "ax.contour(df.direction, df.speed, bins=np.arange(0, 8, 1), cmap=cm.hot, lw=3)\n",
    "ax.set_legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24\n",
      " 25 26 27 28 29]\n",
      "[ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25\n",
      " 26 27 28 29]\n"
     ]
    }
   ],
   "source": [
    "bins = np.arange(0, 30, 1)\n",
    "print(bins)\n",
    "bins = bins[1:]\n",
    "print(bins)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ASUEaU+s1aeNbLCYFSdKASUEaU+s1aeNbLCYFSdKASUEaU+s1aeNbLGt9IJ7US5KRb9n2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\n/wCz2MiZ7vDxiAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11500ae90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = df.speed.hist(bins=bins)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}