Time Series Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.preprocessing import PolynomialFeatures\n",
    "from sklearn import decomposition\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_co = pd.read_csv('CSV/GaCo01_01.csv')  # 83 kg\n",
    "df_pt = pd.read_csv('CSV/GaPt06_01.csv')  # 50 kg or 82 kg depending on GaPt03_01.csv or GaPt06_01.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time(sec)</th>\n",
       "      <th>VGRF_left_s1</th>\n",
       "      <th>VGRF_left_s2</th>\n",
       "      <th>VGRF_left_s3</th>\n",
       "      <th>VGRF_left_s4</th>\n",
       "      <th>VGRF_left_s5</th>\n",
       "      <th>VGRF_left_s6</th>\n",
       "      <th>VGRF_left_s7</th>\n",
       "      <th>VGRF_left_s8</th>\n",
       "      <th>VGRF_right_s1</th>\n",
       "      <th>VGRF_right_s2</th>\n",
       "      <th>VGRF_right_s3</th>\n",
       "      <th>VGRF_right_s4</th>\n",
       "      <th>VGRF_right_s5</th>\n",
       "      <th>VGRF_right_s6</th>\n",
       "      <th>VGRF_right_s7</th>\n",
       "      <th>VGRF_right_s8</th>\n",
       "      <th>Total_force_left</th>\n",
       "      <th>Total_force_right</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0100</td>\n",
       "      <td>199.10</td>\n",
       "      <td>87.34</td>\n",
       "      <td>91.08</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>87.23</td>\n",
       "      <td>64.57</td>\n",
       "      <td>163.90</td>\n",
       "      <td>79.86</td>\n",
       "      <td>112.42</td>\n",
       "      <td>50.82</td>\n",
       "      <td>13.75</td>\n",
       "      <td>102.74</td>\n",
       "      <td>144.98</td>\n",
       "      <td>79.53</td>\n",
       "      <td>662.20</td>\n",
       "      <td>748.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0200</td>\n",
       "      <td>199.10</td>\n",
       "      <td>87.34</td>\n",
       "      <td>91.08</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>87.23</td>\n",
       "      <td>62.59</td>\n",
       "      <td>163.90</td>\n",
       "      <td>79.86</td>\n",
       "      <td>112.42</td>\n",
       "      <td>50.82</td>\n",
       "      <td>13.75</td>\n",
       "      <td>102.74</td>\n",
       "      <td>144.98</td>\n",
       "      <td>79.53</td>\n",
       "      <td>660.22</td>\n",
       "      <td>748.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0300</td>\n",
       "      <td>199.10</td>\n",
       "      <td>87.34</td>\n",
       "      <td>91.08</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>89.10</td>\n",
       "      <td>64.57</td>\n",
       "      <td>163.90</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>48.07</td>\n",
       "      <td>13.75</td>\n",
       "      <td>105.49</td>\n",
       "      <td>144.98</td>\n",
       "      <td>79.53</td>\n",
       "      <td>664.07</td>\n",
       "      <td>745.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0400</td>\n",
       "      <td>199.10</td>\n",
       "      <td>87.34</td>\n",
       "      <td>91.08</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>87.23</td>\n",
       "      <td>62.59</td>\n",
       "      <td>163.90</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>50.82</td>\n",
       "      <td>13.75</td>\n",
       "      <td>105.49</td>\n",
       "      <td>144.98</td>\n",
       "      <td>79.53</td>\n",
       "      <td>660.22</td>\n",
       "      <td>748.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0500</td>\n",
       "      <td>199.10</td>\n",
       "      <td>87.34</td>\n",
       "      <td>91.08</td>\n",
       "      <td>24.09</td>\n",
       "      <td>19.03</td>\n",
       "      <td>87.67</td>\n",
       "      <td>89.10</td>\n",
       "      <td>62.59</td>\n",
       "      <td>163.90</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>50.82</td>\n",
       "      <td>13.75</td>\n",
       "      <td>102.74</td>\n",
       "      <td>144.98</td>\n",
       "      <td>79.53</td>\n",
       "      <td>660.00</td>\n",
       "      <td>745.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.0600</td>\n",
       "      <td>199.10</td>\n",
       "      <td>87.34</td>\n",
       "      <td>91.08</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>89.10</td>\n",
       "      <td>64.57</td>\n",
       "      <td>163.90</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>48.07</td>\n",
       "      <td>13.75</td>\n",
       "      <td>102.74</td>\n",
       "      <td>142.12</td>\n",
       "      <td>79.53</td>\n",
       "      <td>664.07</td>\n",
       "      <td>740.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.0700</td>\n",
       "      <td>199.10</td>\n",
       "      <td>87.34</td>\n",
       "      <td>93.50</td>\n",
       "      <td>24.09</td>\n",
       "      <td>19.03</td>\n",
       "      <td>87.67</td>\n",
       "      <td>89.10</td>\n",
       "      <td>64.57</td>\n",
       "      <td>163.90</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>50.82</td>\n",
       "      <td>13.75</td>\n",
       "      <td>105.49</td>\n",
       "      <td>144.98</td>\n",
       "      <td>79.53</td>\n",
       "      <td>664.40</td>\n",
       "      <td>748.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.0800</td>\n",
       "      <td>199.10</td>\n",
       "      <td>87.34</td>\n",
       "      <td>93.50</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>89.10</td>\n",
       "      <td>62.59</td>\n",
       "      <td>163.90</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>48.07</td>\n",
       "      <td>13.75</td>\n",
       "      <td>102.74</td>\n",
       "      <td>144.98</td>\n",
       "      <td>79.53</td>\n",
       "      <td>664.51</td>\n",
       "      <td>742.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.0900</td>\n",
       "      <td>199.10</td>\n",
       "      <td>87.34</td>\n",
       "      <td>93.50</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>89.10</td>\n",
       "      <td>64.57</td>\n",
       "      <td>163.90</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>50.82</td>\n",
       "      <td>13.75</td>\n",
       "      <td>102.74</td>\n",
       "      <td>142.12</td>\n",
       "      <td>79.53</td>\n",
       "      <td>666.49</td>\n",
       "      <td>742.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.1000</td>\n",
       "      <td>199.10</td>\n",
       "      <td>87.34</td>\n",
       "      <td>93.50</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>85.47</td>\n",
       "      <td>89.10</td>\n",
       "      <td>64.57</td>\n",
       "      <td>163.90</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>48.07</td>\n",
       "      <td>13.75</td>\n",
       "      <td>102.74</td>\n",
       "      <td>142.12</td>\n",
       "      <td>79.53</td>\n",
       "      <td>664.29</td>\n",
       "      <td>740.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.1100</td>\n",
       "      <td>199.10</td>\n",
       "      <td>87.34</td>\n",
       "      <td>93.50</td>\n",
       "      <td>24.09</td>\n",
       "      <td>19.03</td>\n",
       "      <td>87.67</td>\n",
       "      <td>89.10</td>\n",
       "      <td>64.57</td>\n",
       "      <td>163.90</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>48.07</td>\n",
       "      <td>13.75</td>\n",
       "      <td>102.74</td>\n",
       "      <td>142.12</td>\n",
       "      <td>79.53</td>\n",
       "      <td>664.40</td>\n",
       "      <td>740.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.1200</td>\n",
       "      <td>199.10</td>\n",
       "      <td>87.34</td>\n",
       "      <td>93.50</td>\n",
       "      <td>22.33</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>89.10</td>\n",
       "      <td>64.57</td>\n",
       "      <td>163.90</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>48.07</td>\n",
       "      <td>13.75</td>\n",
       "      <td>102.74</td>\n",
       "      <td>142.12</td>\n",
       "      <td>79.53</td>\n",
       "      <td>664.73</td>\n",
       "      <td>740.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.1300</td>\n",
       "      <td>199.10</td>\n",
       "      <td>87.34</td>\n",
       "      <td>91.08</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>89.10</td>\n",
       "      <td>62.59</td>\n",
       "      <td>163.90</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>48.07</td>\n",
       "      <td>13.75</td>\n",
       "      <td>102.74</td>\n",
       "      <td>142.12</td>\n",
       "      <td>79.53</td>\n",
       "      <td>662.09</td>\n",
       "      <td>740.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.1400</td>\n",
       "      <td>196.68</td>\n",
       "      <td>85.14</td>\n",
       "      <td>91.08</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>89.10</td>\n",
       "      <td>64.57</td>\n",
       "      <td>163.90</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>48.07</td>\n",
       "      <td>13.75</td>\n",
       "      <td>105.49</td>\n",
       "      <td>144.98</td>\n",
       "      <td>79.53</td>\n",
       "      <td>659.45</td>\n",
       "      <td>745.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.1500</td>\n",
       "      <td>196.68</td>\n",
       "      <td>85.14</td>\n",
       "      <td>91.08</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>89.10</td>\n",
       "      <td>64.57</td>\n",
       "      <td>163.90</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>50.82</td>\n",
       "      <td>13.75</td>\n",
       "      <td>105.49</td>\n",
       "      <td>144.98</td>\n",
       "      <td>79.53</td>\n",
       "      <td>659.45</td>\n",
       "      <td>748.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.1600</td>\n",
       "      <td>196.68</td>\n",
       "      <td>85.14</td>\n",
       "      <td>91.08</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>89.10</td>\n",
       "      <td>64.57</td>\n",
       "      <td>161.81</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>50.82</td>\n",
       "      <td>13.75</td>\n",
       "      <td>105.49</td>\n",
       "      <td>144.98</td>\n",
       "      <td>79.53</td>\n",
       "      <td>659.45</td>\n",
       "      <td>746.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.1700</td>\n",
       "      <td>194.15</td>\n",
       "      <td>85.14</td>\n",
       "      <td>91.08</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>89.10</td>\n",
       "      <td>64.57</td>\n",
       "      <td>161.81</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>50.82</td>\n",
       "      <td>13.75</td>\n",
       "      <td>105.49</td>\n",
       "      <td>144.98</td>\n",
       "      <td>79.53</td>\n",
       "      <td>656.92</td>\n",
       "      <td>746.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.1800</td>\n",
       "      <td>194.15</td>\n",
       "      <td>85.14</td>\n",
       "      <td>91.08</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>89.10</td>\n",
       "      <td>64.57</td>\n",
       "      <td>161.81</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>50.82</td>\n",
       "      <td>13.75</td>\n",
       "      <td>105.49</td>\n",
       "      <td>144.98</td>\n",
       "      <td>79.53</td>\n",
       "      <td>656.92</td>\n",
       "      <td>746.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.1900</td>\n",
       "      <td>194.15</td>\n",
       "      <td>85.14</td>\n",
       "      <td>88.77</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>90.86</td>\n",
       "      <td>64.57</td>\n",
       "      <td>163.90</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>50.82</td>\n",
       "      <td>13.75</td>\n",
       "      <td>105.49</td>\n",
       "      <td>144.98</td>\n",
       "      <td>79.53</td>\n",
       "      <td>656.37</td>\n",
       "      <td>748.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.2000</td>\n",
       "      <td>191.73</td>\n",
       "      <td>85.14</td>\n",
       "      <td>88.77</td>\n",
       "      <td>24.09</td>\n",
       "      <td>19.03</td>\n",
       "      <td>87.67</td>\n",
       "      <td>90.86</td>\n",
       "      <td>64.57</td>\n",
       "      <td>161.81</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>50.82</td>\n",
       "      <td>13.75</td>\n",
       "      <td>105.49</td>\n",
       "      <td>144.98</td>\n",
       "      <td>79.53</td>\n",
       "      <td>651.86</td>\n",
       "      <td>746.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.2100</td>\n",
       "      <td>194.15</td>\n",
       "      <td>82.94</td>\n",
       "      <td>91.08</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>90.86</td>\n",
       "      <td>64.57</td>\n",
       "      <td>161.81</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>50.82</td>\n",
       "      <td>13.75</td>\n",
       "      <td>105.49</td>\n",
       "      <td>144.98</td>\n",
       "      <td>79.53</td>\n",
       "      <td>656.48</td>\n",
       "      <td>746.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.2200</td>\n",
       "      <td>191.73</td>\n",
       "      <td>85.14</td>\n",
       "      <td>88.77</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>90.86</td>\n",
       "      <td>64.57</td>\n",
       "      <td>163.90</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>50.82</td>\n",
       "      <td>13.75</td>\n",
       "      <td>105.49</td>\n",
       "      <td>144.98</td>\n",
       "      <td>79.53</td>\n",
       "      <td>653.95</td>\n",
       "      <td>748.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.2300</td>\n",
       "      <td>191.73</td>\n",
       "      <td>85.14</td>\n",
       "      <td>88.77</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>90.86</td>\n",
       "      <td>64.57</td>\n",
       "      <td>161.81</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>50.82</td>\n",
       "      <td>13.75</td>\n",
       "      <td>105.49</td>\n",
       "      <td>147.84</td>\n",
       "      <td>79.53</td>\n",
       "      <td>653.95</td>\n",
       "      <td>749.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.2400</td>\n",
       "      <td>191.73</td>\n",
       "      <td>82.94</td>\n",
       "      <td>91.08</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>90.86</td>\n",
       "      <td>64.57</td>\n",
       "      <td>161.81</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>50.82</td>\n",
       "      <td>13.75</td>\n",
       "      <td>105.49</td>\n",
       "      <td>144.98</td>\n",
       "      <td>79.53</td>\n",
       "      <td>654.06</td>\n",
       "      <td>746.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.2500</td>\n",
       "      <td>191.73</td>\n",
       "      <td>82.94</td>\n",
       "      <td>88.77</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>90.86</td>\n",
       "      <td>64.57</td>\n",
       "      <td>161.81</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>50.82</td>\n",
       "      <td>13.75</td>\n",
       "      <td>105.49</td>\n",
       "      <td>147.84</td>\n",
       "      <td>79.53</td>\n",
       "      <td>651.75</td>\n",
       "      <td>749.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.2600</td>\n",
       "      <td>191.73</td>\n",
       "      <td>82.94</td>\n",
       "      <td>88.77</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>89.98</td>\n",
       "      <td>90.86</td>\n",
       "      <td>64.57</td>\n",
       "      <td>161.81</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>50.82</td>\n",
       "      <td>13.75</td>\n",
       "      <td>105.49</td>\n",
       "      <td>147.84</td>\n",
       "      <td>79.53</td>\n",
       "      <td>654.06</td>\n",
       "      <td>749.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.2700</td>\n",
       "      <td>191.73</td>\n",
       "      <td>82.94</td>\n",
       "      <td>88.77</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>90.86</td>\n",
       "      <td>64.57</td>\n",
       "      <td>161.81</td>\n",
       "      <td>79.86</td>\n",
       "      <td>112.42</td>\n",
       "      <td>50.82</td>\n",
       "      <td>13.75</td>\n",
       "      <td>105.49</td>\n",
       "      <td>147.84</td>\n",
       "      <td>79.53</td>\n",
       "      <td>651.75</td>\n",
       "      <td>751.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.2800</td>\n",
       "      <td>189.31</td>\n",
       "      <td>82.94</td>\n",
       "      <td>88.77</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>90.86</td>\n",
       "      <td>64.57</td>\n",
       "      <td>161.81</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>50.82</td>\n",
       "      <td>13.75</td>\n",
       "      <td>105.49</td>\n",
       "      <td>144.98</td>\n",
       "      <td>79.53</td>\n",
       "      <td>649.33</td>\n",
       "      <td>746.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.2900</td>\n",
       "      <td>189.31</td>\n",
       "      <td>82.94</td>\n",
       "      <td>88.77</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>90.86</td>\n",
       "      <td>64.57</td>\n",
       "      <td>161.81</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>50.82</td>\n",
       "      <td>13.75</td>\n",
       "      <td>105.49</td>\n",
       "      <td>147.84</td>\n",
       "      <td>79.53</td>\n",
       "      <td>649.33</td>\n",
       "      <td>749.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.3000</td>\n",
       "      <td>191.73</td>\n",
       "      <td>82.94</td>\n",
       "      <td>88.77</td>\n",
       "      <td>24.09</td>\n",
       "      <td>21.12</td>\n",
       "      <td>87.67</td>\n",
       "      <td>90.86</td>\n",
       "      <td>64.57</td>\n",
       "      <td>161.81</td>\n",
       "      <td>77.55</td>\n",
       "      <td>112.42</td>\n",
       "      <td>50.82</td>\n",
       "      <td>13.75</td>\n",
       "      <td>105.49</td>\n",
       "      <td>147.84</td>\n",
       "      <td>79.53</td>\n",
       "      <td>651.75</td>\n",
       "      <td>749.21</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12088</th>\n",
       "      <td>120.8815</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>159.72</td>\n",
       "      <td>123.09</td>\n",
       "      <td>106.92</td>\n",
       "      <td>160.05</td>\n",
       "      <td>38.50</td>\n",
       "      <td>189.64</td>\n",
       "      <td>165.33</td>\n",
       "      <td>55.11</td>\n",
       "      <td>0.00</td>\n",
       "      <td>998.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12089</th>\n",
       "      <td>120.8915</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>155.43</td>\n",
       "      <td>120.56</td>\n",
       "      <td>106.92</td>\n",
       "      <td>166.43</td>\n",
       "      <td>38.50</td>\n",
       "      <td>195.03</td>\n",
       "      <td>168.30</td>\n",
       "      <td>57.53</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1008.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12090</th>\n",
       "      <td>120.9015</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>149.16</td>\n",
       "      <td>118.03</td>\n",
       "      <td>101.42</td>\n",
       "      <td>172.81</td>\n",
       "      <td>38.50</td>\n",
       "      <td>197.67</td>\n",
       "      <td>171.27</td>\n",
       "      <td>59.95</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1008.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12091</th>\n",
       "      <td>120.9115</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>142.78</td>\n",
       "      <td>115.50</td>\n",
       "      <td>98.67</td>\n",
       "      <td>179.19</td>\n",
       "      <td>41.25</td>\n",
       "      <td>203.06</td>\n",
       "      <td>177.21</td>\n",
       "      <td>59.95</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1017.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12092</th>\n",
       "      <td>120.9215</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>136.40</td>\n",
       "      <td>110.66</td>\n",
       "      <td>96.03</td>\n",
       "      <td>185.57</td>\n",
       "      <td>44.00</td>\n",
       "      <td>208.45</td>\n",
       "      <td>183.15</td>\n",
       "      <td>62.37</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1026.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12093</th>\n",
       "      <td>120.9315</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>127.93</td>\n",
       "      <td>105.93</td>\n",
       "      <td>90.53</td>\n",
       "      <td>191.95</td>\n",
       "      <td>46.75</td>\n",
       "      <td>213.84</td>\n",
       "      <td>192.06</td>\n",
       "      <td>64.90</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1033.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12094</th>\n",
       "      <td>120.9415</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>119.46</td>\n",
       "      <td>98.78</td>\n",
       "      <td>85.03</td>\n",
       "      <td>198.44</td>\n",
       "      <td>49.50</td>\n",
       "      <td>219.23</td>\n",
       "      <td>201.08</td>\n",
       "      <td>67.32</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1038.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12095</th>\n",
       "      <td>120.9515</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>109.45</td>\n",
       "      <td>91.74</td>\n",
       "      <td>79.64</td>\n",
       "      <td>204.82</td>\n",
       "      <td>52.25</td>\n",
       "      <td>224.73</td>\n",
       "      <td>212.96</td>\n",
       "      <td>69.74</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1045.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12096</th>\n",
       "      <td>120.9615</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>99.99</td>\n",
       "      <td>84.59</td>\n",
       "      <td>74.14</td>\n",
       "      <td>211.20</td>\n",
       "      <td>55.11</td>\n",
       "      <td>233.09</td>\n",
       "      <td>227.59</td>\n",
       "      <td>72.16</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1057.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12097</th>\n",
       "      <td>120.9715</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>88.44</td>\n",
       "      <td>77.55</td>\n",
       "      <td>66.00</td>\n",
       "      <td>217.58</td>\n",
       "      <td>61.05</td>\n",
       "      <td>238.70</td>\n",
       "      <td>244.53</td>\n",
       "      <td>74.69</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1068.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12098</th>\n",
       "      <td>120.9815</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>78.98</td>\n",
       "      <td>68.09</td>\n",
       "      <td>57.75</td>\n",
       "      <td>224.07</td>\n",
       "      <td>64.02</td>\n",
       "      <td>247.06</td>\n",
       "      <td>261.47</td>\n",
       "      <td>77.11</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1078.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12099</th>\n",
       "      <td>120.9915</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>69.41</td>\n",
       "      <td>60.94</td>\n",
       "      <td>52.69</td>\n",
       "      <td>229.79</td>\n",
       "      <td>69.96</td>\n",
       "      <td>255.42</td>\n",
       "      <td>278.52</td>\n",
       "      <td>79.53</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1096.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12100</th>\n",
       "      <td>121.0015</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>57.97</td>\n",
       "      <td>51.59</td>\n",
       "      <td>45.43</td>\n",
       "      <td>232.76</td>\n",
       "      <td>72.93</td>\n",
       "      <td>261.03</td>\n",
       "      <td>296.34</td>\n",
       "      <td>84.48</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1102.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12101</th>\n",
       "      <td>121.0115</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>49.17</td>\n",
       "      <td>42.13</td>\n",
       "      <td>38.28</td>\n",
       "      <td>232.76</td>\n",
       "      <td>75.90</td>\n",
       "      <td>269.39</td>\n",
       "      <td>314.16</td>\n",
       "      <td>86.90</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1108.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12102</th>\n",
       "      <td>121.0215</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>36.85</td>\n",
       "      <td>32.78</td>\n",
       "      <td>33.44</td>\n",
       "      <td>232.76</td>\n",
       "      <td>78.87</td>\n",
       "      <td>275.00</td>\n",
       "      <td>331.98</td>\n",
       "      <td>89.32</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1111.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12103</th>\n",
       "      <td>121.0315</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>26.29</td>\n",
       "      <td>23.43</td>\n",
       "      <td>23.87</td>\n",
       "      <td>226.93</td>\n",
       "      <td>78.87</td>\n",
       "      <td>277.86</td>\n",
       "      <td>349.80</td>\n",
       "      <td>91.74</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1098.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12104</th>\n",
       "      <td>121.0415</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>22.77</td>\n",
       "      <td>16.39</td>\n",
       "      <td>14.30</td>\n",
       "      <td>217.58</td>\n",
       "      <td>78.87</td>\n",
       "      <td>280.61</td>\n",
       "      <td>367.51</td>\n",
       "      <td>96.69</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1094.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12105</th>\n",
       "      <td>121.0515</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>19.25</td>\n",
       "      <td>13.97</td>\n",
       "      <td>11.88</td>\n",
       "      <td>204.82</td>\n",
       "      <td>78.87</td>\n",
       "      <td>283.47</td>\n",
       "      <td>385.22</td>\n",
       "      <td>99.11</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1096.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12106</th>\n",
       "      <td>121.0615</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>19.25</td>\n",
       "      <td>11.66</td>\n",
       "      <td>9.57</td>\n",
       "      <td>188.76</td>\n",
       "      <td>75.90</td>\n",
       "      <td>286.33</td>\n",
       "      <td>402.82</td>\n",
       "      <td>104.06</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1098.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12107</th>\n",
       "      <td>121.0715</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>19.25</td>\n",
       "      <td>11.66</td>\n",
       "      <td>7.15</td>\n",
       "      <td>169.62</td>\n",
       "      <td>72.93</td>\n",
       "      <td>286.33</td>\n",
       "      <td>414.59</td>\n",
       "      <td>108.90</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1090.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12108</th>\n",
       "      <td>121.0815</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>17.49</td>\n",
       "      <td>11.66</td>\n",
       "      <td>7.15</td>\n",
       "      <td>150.59</td>\n",
       "      <td>69.96</td>\n",
       "      <td>289.08</td>\n",
       "      <td>426.36</td>\n",
       "      <td>113.85</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1086.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12109</th>\n",
       "      <td>121.0915</td>\n",
       "      <td>23.21</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>17.49</td>\n",
       "      <td>11.66</td>\n",
       "      <td>7.15</td>\n",
       "      <td>128.48</td>\n",
       "      <td>64.02</td>\n",
       "      <td>289.08</td>\n",
       "      <td>432.19</td>\n",
       "      <td>120.45</td>\n",
       "      <td>23.21</td>\n",
       "      <td>1070.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12110</th>\n",
       "      <td>121.1015</td>\n",
       "      <td>79.97</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>17.49</td>\n",
       "      <td>11.66</td>\n",
       "      <td>7.15</td>\n",
       "      <td>106.48</td>\n",
       "      <td>55.11</td>\n",
       "      <td>289.08</td>\n",
       "      <td>438.13</td>\n",
       "      <td>127.16</td>\n",
       "      <td>79.97</td>\n",
       "      <td>1052.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12111</th>\n",
       "      <td>121.1115</td>\n",
       "      <td>231.11</td>\n",
       "      <td>15.51</td>\n",
       "      <td>4.84</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>17.49</td>\n",
       "      <td>11.66</td>\n",
       "      <td>4.73</td>\n",
       "      <td>81.29</td>\n",
       "      <td>49.50</td>\n",
       "      <td>286.33</td>\n",
       "      <td>441.10</td>\n",
       "      <td>133.87</td>\n",
       "      <td>251.46</td>\n",
       "      <td>1025.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12112</th>\n",
       "      <td>121.1215</td>\n",
       "      <td>262.24</td>\n",
       "      <td>36.96</td>\n",
       "      <td>26.62</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>17.49</td>\n",
       "      <td>11.66</td>\n",
       "      <td>4.73</td>\n",
       "      <td>56.54</td>\n",
       "      <td>41.25</td>\n",
       "      <td>275.00</td>\n",
       "      <td>438.13</td>\n",
       "      <td>140.58</td>\n",
       "      <td>325.82</td>\n",
       "      <td>985.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12113</th>\n",
       "      <td>121.1315</td>\n",
       "      <td>305.91</td>\n",
       "      <td>85.14</td>\n",
       "      <td>58.08</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>15.73</td>\n",
       "      <td>11.66</td>\n",
       "      <td>4.73</td>\n",
       "      <td>33.88</td>\n",
       "      <td>33.00</td>\n",
       "      <td>255.42</td>\n",
       "      <td>432.19</td>\n",
       "      <td>147.29</td>\n",
       "      <td>449.13</td>\n",
       "      <td>933.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12114</th>\n",
       "      <td>121.1415</td>\n",
       "      <td>331.54</td>\n",
       "      <td>134.75</td>\n",
       "      <td>79.31</td>\n",
       "      <td>11.99</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.85</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>15.73</td>\n",
       "      <td>9.35</td>\n",
       "      <td>4.73</td>\n",
       "      <td>11.22</td>\n",
       "      <td>24.75</td>\n",
       "      <td>230.34</td>\n",
       "      <td>420.42</td>\n",
       "      <td>151.80</td>\n",
       "      <td>561.44</td>\n",
       "      <td>868.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12115</th>\n",
       "      <td>121.1515</td>\n",
       "      <td>352.44</td>\n",
       "      <td>181.94</td>\n",
       "      <td>102.96</td>\n",
       "      <td>39.60</td>\n",
       "      <td>0.00</td>\n",
       "      <td>17.49</td>\n",
       "      <td>2.97</td>\n",
       "      <td>0.00</td>\n",
       "      <td>13.97</td>\n",
       "      <td>9.35</td>\n",
       "      <td>4.73</td>\n",
       "      <td>5.61</td>\n",
       "      <td>19.25</td>\n",
       "      <td>192.39</td>\n",
       "      <td>402.82</td>\n",
       "      <td>154.00</td>\n",
       "      <td>697.40</td>\n",
       "      <td>802.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12116</th>\n",
       "      <td>121.1615</td>\n",
       "      <td>352.44</td>\n",
       "      <td>202.40</td>\n",
       "      <td>124.74</td>\n",
       "      <td>43.01</td>\n",
       "      <td>8.47</td>\n",
       "      <td>50.71</td>\n",
       "      <td>7.59</td>\n",
       "      <td>0.00</td>\n",
       "      <td>13.97</td>\n",
       "      <td>6.93</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>13.75</td>\n",
       "      <td>143.66</td>\n",
       "      <td>373.34</td>\n",
       "      <td>151.80</td>\n",
       "      <td>789.36</td>\n",
       "      <td>703.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12117</th>\n",
       "      <td>121.1715</td>\n",
       "      <td>347.27</td>\n",
       "      <td>206.91</td>\n",
       "      <td>134.64</td>\n",
       "      <td>43.01</td>\n",
       "      <td>16.94</td>\n",
       "      <td>69.74</td>\n",
       "      <td>28.93</td>\n",
       "      <td>0.00</td>\n",
       "      <td>12.21</td>\n",
       "      <td>6.93</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>13.75</td>\n",
       "      <td>97.35</td>\n",
       "      <td>331.98</td>\n",
       "      <td>147.29</td>\n",
       "      <td>847.44</td>\n",
       "      <td>609.51</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12118 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Time(sec)  VGRF_left_s1  VGRF_left_s2  VGRF_left_s3  VGRF_left_s4  \\\n",
       "0         0.0100        199.10         87.34         91.08         24.09   \n",
       "1         0.0200        199.10         87.34         91.08         24.09   \n",
       "2         0.0300        199.10         87.34         91.08         24.09   \n",
       "3         0.0400        199.10         87.34         91.08         24.09   \n",
       "4         0.0500        199.10         87.34         91.08         24.09   \n",
       "5         0.0600        199.10         87.34         91.08         24.09   \n",
       "6         0.0700        199.10         87.34         93.50         24.09   \n",
       "7         0.0800        199.10         87.34         93.50         24.09   \n",
       "8         0.0900        199.10         87.34         93.50         24.09   \n",
       "9         0.1000        199.10         87.34         93.50         24.09   \n",
       "10        0.1100        199.10         87.34         93.50         24.09   \n",
       "11        0.1200        199.10         87.34         93.50         22.33   \n",
       "12        0.1300        199.10         87.34         91.08         24.09   \n",
       "13        0.1400        196.68         85.14         91.08         24.09   \n",
       "14        0.1500        196.68         85.14         91.08         24.09   \n",
       "15        0.1600        196.68         85.14         91.08         24.09   \n",
       "16        0.1700        194.15         85.14         91.08         24.09   \n",
       "17        0.1800        194.15         85.14         91.08         24.09   \n",
       "18        0.1900        194.15         85.14         88.77         24.09   \n",
       "19        0.2000        191.73         85.14         88.77         24.09   \n",
       "20        0.2100        194.15         82.94         91.08         24.09   \n",
       "21        0.2200        191.73         85.14         88.77         24.09   \n",
       "22        0.2300        191.73         85.14         88.77         24.09   \n",
       "23        0.2400        191.73         82.94         91.08         24.09   \n",
       "24        0.2500        191.73         82.94         88.77         24.09   \n",
       "25        0.2600        191.73         82.94         88.77         24.09   \n",
       "26        0.2700        191.73         82.94         88.77         24.09   \n",
       "27        0.2800        189.31         82.94         88.77         24.09   \n",
       "28        0.2900        189.31         82.94         88.77         24.09   \n",
       "29        0.3000        191.73         82.94         88.77         24.09   \n",
       "...          ...           ...           ...           ...           ...   \n",
       "12088   120.8815          0.00          0.00          0.00          0.00   \n",
       "12089   120.8915          0.00          0.00          0.00          0.00   \n",
       "12090   120.9015          0.00          0.00          0.00          0.00   \n",
       "12091   120.9115          0.00          0.00          0.00          0.00   \n",
       "12092   120.9215          0.00          0.00          0.00          0.00   \n",
       "12093   120.9315          0.00          0.00          0.00          0.00   \n",
       "12094   120.9415          0.00          0.00          0.00          0.00   \n",
       "12095   120.9515          0.00          0.00          0.00          0.00   \n",
       "12096   120.9615          0.00          0.00          0.00          0.00   \n",
       "12097   120.9715          0.00          0.00          0.00          0.00   \n",
       "12098   120.9815          0.00          0.00          0.00          0.00   \n",
       "12099   120.9915          0.00          0.00          0.00          0.00   \n",
       "12100   121.0015          0.00          0.00          0.00          0.00   \n",
       "12101   121.0115          0.00          0.00          0.00          0.00   \n",
       "12102   121.0215          0.00          0.00          0.00          0.00   \n",
       "12103   121.0315          0.00          0.00          0.00          0.00   \n",
       "12104   121.0415          0.00          0.00          0.00          0.00   \n",
       "12105   121.0515          0.00          0.00          0.00          0.00   \n",
       "12106   121.0615          0.00          0.00          0.00          0.00   \n",
       "12107   121.0715          0.00          0.00          0.00          0.00   \n",
       "12108   121.0815          0.00          0.00          0.00          0.00   \n",
       "12109   121.0915         23.21          0.00          0.00          0.00   \n",
       "12110   121.1015         79.97          0.00          0.00          0.00   \n",
       "12111   121.1115        231.11         15.51          4.84          0.00   \n",
       "12112   121.1215        262.24         36.96         26.62          0.00   \n",
       "12113   121.1315        305.91         85.14         58.08          0.00   \n",
       "12114   121.1415        331.54        134.75         79.31         11.99   \n",
       "12115   121.1515        352.44        181.94        102.96         39.60   \n",
       "12116   121.1615        352.44        202.40        124.74         43.01   \n",
       "12117   121.1715        347.27        206.91        134.64         43.01   \n",
       "\n",
       "       VGRF_left_s5  VGRF_left_s6  VGRF_left_s7  VGRF_left_s8  VGRF_right_s1  \\\n",
       "0             21.12         87.67         87.23         64.57         163.90   \n",
       "1             21.12         87.67         87.23         62.59         163.90   \n",
       "2             21.12         87.67         89.10         64.57         163.90   \n",
       "3             21.12         87.67         87.23         62.59         163.90   \n",
       "4             19.03         87.67         89.10         62.59         163.90   \n",
       "5             21.12         87.67         89.10         64.57         163.90   \n",
       "6             19.03         87.67         89.10         64.57         163.90   \n",
       "7             21.12         87.67         89.10         62.59         163.90   \n",
       "8             21.12         87.67         89.10         64.57         163.90   \n",
       "9             21.12         85.47         89.10         64.57         163.90   \n",
       "10            19.03         87.67         89.10         64.57         163.90   \n",
       "11            21.12         87.67         89.10         64.57         163.90   \n",
       "12            21.12         87.67         89.10         62.59         163.90   \n",
       "13            21.12         87.67         89.10         64.57         163.90   \n",
       "14            21.12         87.67         89.10         64.57         163.90   \n",
       "15            21.12         87.67         89.10         64.57         161.81   \n",
       "16            21.12         87.67         89.10         64.57         161.81   \n",
       "17            21.12         87.67         89.10         64.57         161.81   \n",
       "18            21.12         87.67         90.86         64.57         163.90   \n",
       "19            19.03         87.67         90.86         64.57         161.81   \n",
       "20            21.12         87.67         90.86         64.57         161.81   \n",
       "21            21.12         87.67         90.86         64.57         163.90   \n",
       "22            21.12         87.67         90.86         64.57         161.81   \n",
       "23            21.12         87.67         90.86         64.57         161.81   \n",
       "24            21.12         87.67         90.86         64.57         161.81   \n",
       "25            21.12         89.98         90.86         64.57         161.81   \n",
       "26            21.12         87.67         90.86         64.57         161.81   \n",
       "27            21.12         87.67         90.86         64.57         161.81   \n",
       "28            21.12         87.67         90.86         64.57         161.81   \n",
       "29            21.12         87.67         90.86         64.57         161.81   \n",
       "...             ...           ...           ...           ...            ...   \n",
       "12088          0.00          0.00          0.00          0.00         159.72   \n",
       "12089          0.00          0.00          0.00          0.00         155.43   \n",
       "12090          0.00          0.00          0.00          0.00         149.16   \n",
       "12091          0.00          0.00          0.00          0.00         142.78   \n",
       "12092          0.00          0.00          0.00          0.00         136.40   \n",
       "12093          0.00          0.00          0.00          0.00         127.93   \n",
       "12094          0.00          0.00          0.00          0.00         119.46   \n",
       "12095          0.00          0.00          0.00          0.00         109.45   \n",
       "12096          0.00          0.00          0.00          0.00          99.99   \n",
       "12097          0.00          0.00          0.00          0.00          88.44   \n",
       "12098          0.00          0.00          0.00          0.00          78.98   \n",
       "12099          0.00          0.00          0.00          0.00          69.41   \n",
       "12100          0.00          0.00          0.00          0.00          57.97   \n",
       "12101          0.00          0.00          0.00          0.00          49.17   \n",
       "12102          0.00          0.00          0.00          0.00          36.85   \n",
       "12103          0.00          0.00          0.00          0.00          26.29   \n",
       "12104          0.00          0.00          0.00          0.00          22.77   \n",
       "12105          0.00          0.00          0.00          0.00          19.25   \n",
       "12106          0.00          0.00          0.00          0.00          19.25   \n",
       "12107          0.00          0.00          0.00          0.00          19.25   \n",
       "12108          0.00          0.00          0.00          0.00          17.49   \n",
       "12109          0.00          0.00          0.00          0.00          17.49   \n",
       "12110          0.00          0.00          0.00          0.00          17.49   \n",
       "12111          0.00          0.00          0.00          0.00          17.49   \n",
       "12112          0.00          0.00          0.00          0.00          17.49   \n",
       "12113          0.00          0.00          0.00          0.00          15.73   \n",
       "12114          0.00          3.85          0.00          0.00          15.73   \n",
       "12115          0.00         17.49          2.97          0.00          13.97   \n",
       "12116          8.47         50.71          7.59          0.00          13.97   \n",
       "12117         16.94         69.74         28.93          0.00          12.21   \n",
       "\n",
       "       VGRF_right_s2  VGRF_right_s3  VGRF_right_s4  VGRF_right_s5  \\\n",
       "0              79.86         112.42          50.82          13.75   \n",
       "1              79.86         112.42          50.82          13.75   \n",
       "2              77.55         112.42          48.07          13.75   \n",
       "3              77.55         112.42          50.82          13.75   \n",
       "4              77.55         112.42          50.82          13.75   \n",
       "5              77.55         112.42          48.07          13.75   \n",
       "6              77.55         112.42          50.82          13.75   \n",
       "7              77.55         112.42          48.07          13.75   \n",
       "8              77.55         112.42          50.82          13.75   \n",
       "9              77.55         112.42          48.07          13.75   \n",
       "10             77.55         112.42          48.07          13.75   \n",
       "11             77.55         112.42          48.07          13.75   \n",
       "12             77.55         112.42          48.07          13.75   \n",
       "13             77.55         112.42          48.07          13.75   \n",
       "14             77.55         112.42          50.82          13.75   \n",
       "15             77.55         112.42          50.82          13.75   \n",
       "16             77.55         112.42          50.82          13.75   \n",
       "17             77.55         112.42          50.82          13.75   \n",
       "18             77.55         112.42          50.82          13.75   \n",
       "19             77.55         112.42          50.82          13.75   \n",
       "20             77.55         112.42          50.82          13.75   \n",
       "21             77.55         112.42          50.82          13.75   \n",
       "22             77.55         112.42          50.82          13.75   \n",
       "23             77.55         112.42          50.82          13.75   \n",
       "24             77.55         112.42          50.82          13.75   \n",
       "25             77.55         112.42          50.82          13.75   \n",
       "26             79.86         112.42          50.82          13.75   \n",
       "27             77.55         112.42          50.82          13.75   \n",
       "28             77.55         112.42          50.82          13.75   \n",
       "29             77.55         112.42          50.82          13.75   \n",
       "...              ...            ...            ...            ...   \n",
       "12088         123.09         106.92         160.05          38.50   \n",
       "12089         120.56         106.92         166.43          38.50   \n",
       "12090         118.03         101.42         172.81          38.50   \n",
       "12091         115.50          98.67         179.19          41.25   \n",
       "12092         110.66          96.03         185.57          44.00   \n",
       "12093         105.93          90.53         191.95          46.75   \n",
       "12094          98.78          85.03         198.44          49.50   \n",
       "12095          91.74          79.64         204.82          52.25   \n",
       "12096          84.59          74.14         211.20          55.11   \n",
       "12097          77.55          66.00         217.58          61.05   \n",
       "12098          68.09          57.75         224.07          64.02   \n",
       "12099          60.94          52.69         229.79          69.96   \n",
       "12100          51.59          45.43         232.76          72.93   \n",
       "12101          42.13          38.28         232.76          75.90   \n",
       "12102          32.78          33.44         232.76          78.87   \n",
       "12103          23.43          23.87         226.93          78.87   \n",
       "12104          16.39          14.30         217.58          78.87   \n",
       "12105          13.97          11.88         204.82          78.87   \n",
       "12106          11.66           9.57         188.76          75.90   \n",
       "12107          11.66           7.15         169.62          72.93   \n",
       "12108          11.66           7.15         150.59          69.96   \n",
       "12109          11.66           7.15         128.48          64.02   \n",
       "12110          11.66           7.15         106.48          55.11   \n",
       "12111          11.66           4.73          81.29          49.50   \n",
       "12112          11.66           4.73          56.54          41.25   \n",
       "12113          11.66           4.73          33.88          33.00   \n",
       "12114           9.35           4.73          11.22          24.75   \n",
       "12115           9.35           4.73           5.61          19.25   \n",
       "12116           6.93           0.00           0.00          13.75   \n",
       "12117           6.93           0.00           0.00          13.75   \n",
       "\n",
       "       VGRF_right_s6  VGRF_right_s7  VGRF_right_s8  Total_force_left  \\\n",
       "0             102.74         144.98          79.53            662.20   \n",
       "1             102.74         144.98          79.53            660.22   \n",
       "2             105.49         144.98          79.53            664.07   \n",
       "3             105.49         144.98          79.53            660.22   \n",
       "4             102.74         144.98          79.53            660.00   \n",
       "5             102.74         142.12          79.53            664.07   \n",
       "6             105.49         144.98          79.53            664.40   \n",
       "7             102.74         144.98          79.53            664.51   \n",
       "8             102.74         142.12          79.53            666.49   \n",
       "9             102.74         142.12          79.53            664.29   \n",
       "10            102.74         142.12          79.53            664.40   \n",
       "11            102.74         142.12          79.53            664.73   \n",
       "12            102.74         142.12          79.53            662.09   \n",
       "13            105.49         144.98          79.53            659.45   \n",
       "14            105.49         144.98          79.53            659.45   \n",
       "15            105.49         144.98          79.53            659.45   \n",
       "16            105.49         144.98          79.53            656.92   \n",
       "17            105.49         144.98          79.53            656.92   \n",
       "18            105.49         144.98          79.53            656.37   \n",
       "19            105.49         144.98          79.53            651.86   \n",
       "20            105.49         144.98          79.53            656.48   \n",
       "21            105.49         144.98          79.53            653.95   \n",
       "22            105.49         147.84          79.53            653.95   \n",
       "23            105.49         144.98          79.53            654.06   \n",
       "24            105.49         147.84          79.53            651.75   \n",
       "25            105.49         147.84          79.53            654.06   \n",
       "26            105.49         147.84          79.53            651.75   \n",
       "27            105.49         144.98          79.53            649.33   \n",
       "28            105.49         147.84          79.53            649.33   \n",
       "29            105.49         147.84          79.53            651.75   \n",
       "...              ...            ...            ...               ...   \n",
       "12088         189.64         165.33          55.11              0.00   \n",
       "12089         195.03         168.30          57.53              0.00   \n",
       "12090         197.67         171.27          59.95              0.00   \n",
       "12091         203.06         177.21          59.95              0.00   \n",
       "12092         208.45         183.15          62.37              0.00   \n",
       "12093         213.84         192.06          64.90              0.00   \n",
       "12094         219.23         201.08          67.32              0.00   \n",
       "12095         224.73         212.96          69.74              0.00   \n",
       "12096         233.09         227.59          72.16              0.00   \n",
       "12097         238.70         244.53          74.69              0.00   \n",
       "12098         247.06         261.47          77.11              0.00   \n",
       "12099         255.42         278.52          79.53              0.00   \n",
       "12100         261.03         296.34          84.48              0.00   \n",
       "12101         269.39         314.16          86.90              0.00   \n",
       "12102         275.00         331.98          89.32              0.00   \n",
       "12103         277.86         349.80          91.74              0.00   \n",
       "12104         280.61         367.51          96.69              0.00   \n",
       "12105         283.47         385.22          99.11              0.00   \n",
       "12106         286.33         402.82         104.06              0.00   \n",
       "12107         286.33         414.59         108.90              0.00   \n",
       "12108         289.08         426.36         113.85              0.00   \n",
       "12109         289.08         432.19         120.45             23.21   \n",
       "12110         289.08         438.13         127.16             79.97   \n",
       "12111         286.33         441.10         133.87            251.46   \n",
       "12112         275.00         438.13         140.58            325.82   \n",
       "12113         255.42         432.19         147.29            449.13   \n",
       "12114         230.34         420.42         151.80            561.44   \n",
       "12115         192.39         402.82         154.00            697.40   \n",
       "12116         143.66         373.34         151.80            789.36   \n",
       "12117          97.35         331.98         147.29            847.44   \n",
       "\n",
       "       Total_force_right  \n",
       "0                 748.00  \n",
       "1                 748.00  \n",
       "2                 745.69  \n",
       "3                 748.44  \n",
       "4                 745.69  \n",
       "5                 740.08  \n",
       "6                 748.44  \n",
       "7                 742.94  \n",
       "8                 742.83  \n",
       "9                 740.08  \n",
       "10                740.08  \n",
       "11                740.08  \n",
       "12                740.08  \n",
       "13                745.69  \n",
       "14                748.44  \n",
       "15                746.35  \n",
       "16                746.35  \n",
       "17                746.35  \n",
       "18                748.44  \n",
       "19                746.35  \n",
       "20                746.35  \n",
       "21                748.44  \n",
       "22                749.21  \n",
       "23                746.35  \n",
       "24                749.21  \n",
       "25                749.21  \n",
       "26                751.52  \n",
       "27                746.35  \n",
       "28                749.21  \n",
       "29                749.21  \n",
       "...                  ...  \n",
       "12088             998.36  \n",
       "12089            1008.70  \n",
       "12090            1008.81  \n",
       "12091            1017.61  \n",
       "12092            1026.63  \n",
       "12093            1033.89  \n",
       "12094            1038.84  \n",
       "12095            1045.33  \n",
       "12096            1057.87  \n",
       "12097            1068.54  \n",
       "12098            1078.55  \n",
       "12099            1096.26  \n",
       "12100            1102.53  \n",
       "12101            1108.69  \n",
       "12102            1111.00  \n",
       "12103            1098.79  \n",
       "12104            1094.72  \n",
       "12105            1096.59  \n",
       "12106            1098.35  \n",
       "12107            1090.43  \n",
       "12108            1086.14  \n",
       "12109            1070.52  \n",
       "12110            1052.26  \n",
       "12111            1025.97  \n",
       "12112             985.38  \n",
       "12113             933.90  \n",
       "12114             868.34  \n",
       "12115             802.12  \n",
       "12116             703.45  \n",
       "12117             609.51  \n",
       "\n",
       "[12118 rows x 19 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_co"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x25bfb1abc50>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.plot(df_co['Time(sec)'], df_co['Total_force_left'], label=\"Control Object\")\n",
    "plt.plot(df_pt['Time(sec)'], df_pt['Total_force_left'], label=\"PD Patient\")\n",
    "plt.legend(loc=1)\n",
    "plt.xlabel(\"Time (sec)\")\n",
    "plt.ylabel(\"VGRF in Newtons\")\n",
    "ax = plt.gca()\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['top'].set_visible(False)\n",
    "plt.title(\"Left Foot Stride Force Patterns\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" 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      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x25bfb22d7f0>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.plot(df_co['Time(sec)'], df_co['Total_force_right'], label=\"Control Object\" )\n",
    "plt.plot(df_pt['Time(sec)'], df_pt['Total_force_right'], label = \"PD Patient\")\n",
    "plt.legend(loc=1)\n",
    "plt.xlabel(\"Time (sec)\")\n",
    "plt.ylabel(\"VGRF in Newtons\")\n",
    "ax = plt.gca()\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['top'].set_visible(False)\n",
    "plt.title(\"Right Foot Stride Force Patterns\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.2"
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 },
 "nbformat": 4,
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}