人流和新增相关性分析.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-02-29 22:25:20,779 - numexpr.utils - INFO - NumExpr defaulting to 4 threads.\n"
     ]
    }
   ],
   "source": [
    "from coronavirus_analyzer import CoronavirusAnalyzer\n",
    "import pandas as pd\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "first_date = '2020-01-17'\n",
    "last_date = '2020-02-14'\n",
    "sample_cnt = 0\n",
    "in_english = True\n",
    "analyzer = CoronavirusAnalyzer(last_date, first_date=first_date, sample_cnt=sample_cnt, in_english=in_english)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# for n in range(1, 11):\n",
    "#     df = analyzer.get_df_move_inc_corr(n=n).iloc[:, 0::3]\n",
    "#     print(n, df.mean().mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "corr: -0.017283767783100236\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "analyzer.plot_move_inc_corr('黑龙江', '2020-02-14', n=3, shift=0, window=1, sample_cnt=sample_cnt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "corr: 0.6542550709612359\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "analyzer.plot_move_inc_corr('江苏', '2020-02-14', n=3, shift=0, window=1, sample_cnt=sample_cnt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "corr: 0.8647610302588025\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "analyzer.plot_move_inc_corr('黑龙江', '2020-02-14')  # , n=3, shift=4, window=10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "corr: 0.9665643574051077\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "analyzer.plot_move_inc_corr('江苏', '2020-02-14')  # , n=3, shift=0, window=9"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>region</th>\n",
       "      <th>Liaoning</th>\n",
       "      <th>Xizang</th>\n",
       "      <th>Qinghai</th>\n",
       "      <th>Shanghai</th>\n",
       "      <th>Fujian</th>\n",
       "      <th>Zhejiang</th>\n",
       "      <th>Beijing</th>\n",
       "      <th>Yunnan</th>\n",
       "      <th>Chongqing</th>\n",
       "      <th>Guangdong</th>\n",
       "      <th>Shaanxi</th>\n",
       "      <th>Tianjin</th>\n",
       "      <th>Ningxia</th>\n",
       "      <th>Gansu</th>\n",
       "      <th>Jilin</th>\n",
       "      <th>Jiangsu</th>\n",
       "      <th>Sichuan</th>\n",
       "      <th>Shandong</th>\n",
       "      <th>Neimenggu</th>\n",
       "      <th>Hunan</th>\n",
       "      <th>Hainan</th>\n",
       "      <th>Shanxi</th>\n",
       "      <th>Hebei</th>\n",
       "      <th>Guangxi</th>\n",
       "      <th>Xinjiang</th>\n",
       "      <th>Guizhou</th>\n",
       "      <th>Anhui</th>\n",
       "      <th>Henan</th>\n",
       "      <th>Jiangxi</th>\n",
       "      <th>Heilongjiang</th>\n",
       "      <th>Hubei</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>shift mean</th>\n",
       "      <td>1.147059</td>\n",
       "      <td>1.148148</td>\n",
       "      <td>1.451613</td>\n",
       "      <td>1.333333</td>\n",
       "      <td>1.088235</td>\n",
       "      <td>1.428571</td>\n",
       "      <td>0.861111</td>\n",
       "      <td>1.78125</td>\n",
       "      <td>2.571429</td>\n",
       "      <td>1.189189</td>\n",
       "      <td>2.484848</td>\n",
       "      <td>3.342857</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.212121</td>\n",
       "      <td>5.393939</td>\n",
       "      <td>0.588235</td>\n",
       "      <td>1.058824</td>\n",
       "      <td>1.969697</td>\n",
       "      <td>0.727273</td>\n",
       "      <td>3.606061</td>\n",
       "      <td>1.558824</td>\n",
       "      <td>3.352941</td>\n",
       "      <td>2.823529</td>\n",
       "      <td>1.088235</td>\n",
       "      <td>2.575758</td>\n",
       "      <td>4.515152</td>\n",
       "      <td>2.294118</td>\n",
       "      <td>3.971429</td>\n",
       "      <td>4.485714</td>\n",
       "      <td>3.787879</td>\n",
       "      <td>6.378378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>window mean</th>\n",
       "      <td>1.411765</td>\n",
       "      <td>1.555556</td>\n",
       "      <td>1.258065</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>2.314286</td>\n",
       "      <td>3.083333</td>\n",
       "      <td>2.21875</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>4.027027</td>\n",
       "      <td>2.878788</td>\n",
       "      <td>2.371429</td>\n",
       "      <td>5.060606</td>\n",
       "      <td>5.484848</td>\n",
       "      <td>1.636364</td>\n",
       "      <td>6.617647</td>\n",
       "      <td>6.147059</td>\n",
       "      <td>5.424242</td>\n",
       "      <td>6.787879</td>\n",
       "      <td>4.121212</td>\n",
       "      <td>6.411765</td>\n",
       "      <td>5.117647</td>\n",
       "      <td>6.058824</td>\n",
       "      <td>7.911765</td>\n",
       "      <td>6.787879</td>\n",
       "      <td>5.606061</td>\n",
       "      <td>7.911765</td>\n",
       "      <td>6.371429</td>\n",
       "      <td>6.514286</td>\n",
       "      <td>8.575758</td>\n",
       "      <td>7.378378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>all mean</th>\n",
       "      <td>2.558824</td>\n",
       "      <td>2.703704</td>\n",
       "      <td>2.709677</td>\n",
       "      <td>2.833333</td>\n",
       "      <td>3.588235</td>\n",
       "      <td>3.742857</td>\n",
       "      <td>3.944444</td>\n",
       "      <td>4.00000</td>\n",
       "      <td>4.171429</td>\n",
       "      <td>5.216216</td>\n",
       "      <td>5.363636</td>\n",
       "      <td>5.714286</td>\n",
       "      <td>6.060606</td>\n",
       "      <td>6.696970</td>\n",
       "      <td>7.030303</td>\n",
       "      <td>7.205882</td>\n",
       "      <td>7.205882</td>\n",
       "      <td>7.393939</td>\n",
       "      <td>7.515152</td>\n",
       "      <td>7.727273</td>\n",
       "      <td>7.970588</td>\n",
       "      <td>8.470588</td>\n",
       "      <td>8.882353</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>9.363636</td>\n",
       "      <td>10.121212</td>\n",
       "      <td>10.205882</td>\n",
       "      <td>10.342857</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>12.363636</td>\n",
       "      <td>13.756757</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "region       Liaoning    Xizang   Qinghai  Shanghai    Fujian  Zhejiang  \\\n",
       "shift mean   1.147059  1.148148  1.451613  1.333333  1.088235  1.428571   \n",
       "window mean  1.411765  1.555556  1.258065  1.500000  2.500000  2.314286   \n",
       "all mean     2.558824  2.703704  2.709677  2.833333  3.588235  3.742857   \n",
       "\n",
       "region        Beijing   Yunnan  Chongqing  Guangdong   Shaanxi   Tianjin  \\\n",
       "shift mean   0.861111  1.78125   2.571429   1.189189  2.484848  3.342857   \n",
       "window mean  3.083333  2.21875   1.600000   4.027027  2.878788  2.371429   \n",
       "all mean     3.944444  4.00000   4.171429   5.216216  5.363636  5.714286   \n",
       "\n",
       "region        Ningxia     Gansu     Jilin   Jiangsu   Sichuan  Shandong  \\\n",
       "shift mean   1.000000  1.212121  5.393939  0.588235  1.058824  1.969697   \n",
       "window mean  5.060606  5.484848  1.636364  6.617647  6.147059  5.424242   \n",
       "all mean     6.060606  6.696970  7.030303  7.205882  7.205882  7.393939   \n",
       "\n",
       "region       Neimenggu     Hunan    Hainan    Shanxi     Hebei   Guangxi  \\\n",
       "shift mean    0.727273  3.606061  1.558824  3.352941  2.823529  1.088235   \n",
       "window mean   6.787879  4.121212  6.411765  5.117647  6.058824  7.911765   \n",
       "all mean      7.515152  7.727273  7.970588  8.470588  8.882353  9.000000   \n",
       "\n",
       "region       Xinjiang    Guizhou      Anhui      Henan    Jiangxi  \\\n",
       "shift mean   2.575758   4.515152   2.294118   3.971429   4.485714   \n",
       "window mean  6.787879   5.606061   7.911765   6.371429   6.514286   \n",
       "all mean     9.363636  10.121212  10.205882  10.342857  11.000000   \n",
       "\n",
       "region       Heilongjiang      Hubei  \n",
       "shift mean       3.787879   6.378378  \n",
       "window mean      8.575758   7.378378  \n",
       "all mean        12.363636  13.756757  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "last_date = '2020-02-24'\n",
    "analyzer = CoronavirusAnalyzer(last_date, first_date=first_date, sample_cnt=sample_cnt, in_english=in_english)\n",
    "\n",
    "df = analyzer.df_move_inc_corr\n",
    "data = []\n",
    "for region in df.columns.levels[0]:\n",
    "    df_region = df[region]\n",
    "    shift_mean = df_region['shift'].mean()\n",
    "    window_mean = df_region['window'].mean()\n",
    "    data.append({'region': region, 'shift mean': shift_mean, 'window mean': window_mean, 'all mean': shift_mean + window_mean})\n",
    "df_mean = pd.DataFrame(data).sort_values(['all mean', 'shift mean', 'window mean'])\n",
    "df_mean = df_mean.set_index('region')\n",
    "df_mean = df_mean.T\n",
    "df_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"3\" halign=\"left\">Liaoning</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Xizang</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Qinghai</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Shanghai</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Fujian</th>\n",
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       "      <th colspan=\"3\" halign=\"left\">Beijing</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Yunnan</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Chongqing</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Guangdong</th>\n",
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       "      <th colspan=\"3\" halign=\"left\">Tianjin</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Ningxia</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Gansu</th>\n",
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       "      <th colspan=\"3\" halign=\"left\">Sichuan</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Shandong</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Neimenggu</th>\n",
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       "      <th colspan=\"3\" halign=\"left\">Guizhou</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Anhui</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Henan</th>\n",
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       "      <th colspan=\"3\" halign=\"left\">Heilongjiang</th>\n",
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       "      <th>window</th>\n",
       "      <th>corr</th>\n",
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       "      <th>window</th>\n",
       "      <th>corr</th>\n",
       "      <th>shift</th>\n",
       "      <th>window</th>\n",
       "      <th>corr</th>\n",
       "      <th>shift</th>\n",
       "      <th>window</th>\n",
       "      <th>corr</th>\n",
       "      <th>shift</th>\n",
       "      <th>window</th>\n",
       "      <th>corr</th>\n",
       "      <th>shift</th>\n",
       "      <th>window</th>\n",
       "      <th>corr</th>\n",
       "      <th>shift</th>\n",
       "      <th>window</th>\n",
       "      <th>corr</th>\n",
       "      <th>shift</th>\n",
       "      <th>window</th>\n",
       "      <th>corr</th>\n",
       "      <th>shift</th>\n",
       "      <th>window</th>\n",
       "      <th>corr</th>\n",
       "      <th>shift</th>\n",
       "      <th>window</th>\n",
       "      <th>corr</th>\n",
       "      <th>shift</th>\n",
       "      <th>window</th>\n",
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       "      <th>window</th>\n",
       "      <th>corr</th>\n",
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       "      <th>window</th>\n",
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       "      <th>shift</th>\n",
       "      <th>window</th>\n",
       "      <th>corr</th>\n",
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       "      <th>window</th>\n",
       "      <th>corr</th>\n",
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       "      <th>window</th>\n",
       "      <th>corr</th>\n",
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       "      <th>window</th>\n",
       "      <th>corr</th>\n",
       "      <th>shift</th>\n",
       "      <th>window</th>\n",
       "      <th>corr</th>\n",
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       "      <th>window</th>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.418734</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-21</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.998789</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.911712</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.777537</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.743453</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.975092</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.918001</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.834677</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.881693</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.587917</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.919850</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.997817</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.818390</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.638677</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-23</th>\n",
       "      <td>0.819636</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.875797</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.993630</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.987268</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.920736</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.964042</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.802286</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.694104</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.998676</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.947776</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.935402</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.497612</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.935043</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.999912</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.888869</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.994432</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.924100</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.735350</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-24</th>\n",
       "      <td>0.972306</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.940807</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.996053</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.887503</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.928124</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.988956</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.884850</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.849901</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.844489</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.795900</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.923515</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.735244</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.969064</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.977393</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.970932</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.934167</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.907053</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.966278</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.979864</td>\n",
       "      <td>7.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.989196</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.976587</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.837296</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.799186</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.960269</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.991417</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.985930</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.952058</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.857628</td>\n",
       "      <td>3.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-25</th>\n",
       "      <td>0.930973</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.833522</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.924437</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.939034</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.956258</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.967649</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.947887</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.917913</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.981689</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.796487</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.735592</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.959748</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.493663</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.982891</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.985815</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.980191</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.981591</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.932272</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.739979</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.854716</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.942078</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.981045</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.759965</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.699622</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.960520</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.998072</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.995238</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.964908</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.959751</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-26</th>\n",
       "      <td>0.850410</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.994995</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.832341</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.955699</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.825240</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.952460</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.978369</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.965610</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.931411</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.917898</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.876317</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.886726</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.978747</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.616116</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.988095</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.990368</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.989277</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.995592</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.952758</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.730620</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.866993</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.936889</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.965653</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.729420</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.763695</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.918533</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.983495</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.972005</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.960015</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.977358</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-27</th>\n",
       "      <td>0.841992</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.905532</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.830059</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.757819</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.877974</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.826853</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.949356</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.936981</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.935458</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.897052</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.967385</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.940315</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.952753</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.685812</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.990198</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.986027</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.991105</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.874382</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.967159</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.780148</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.920604</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.937737</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.944423</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.903131</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.797751</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.863949</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.963529</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.973337</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.970917</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.971571</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-28</th>\n",
       "      <td>0.887108</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.583131</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.841183</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.820783</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.959823</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.887173</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.951086</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.895438</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.953128</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.856229</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.744750</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.774514</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.944360</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.645440</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.994293</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.973860</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.989329</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.833562</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.947422</td>\n",
       "      <td>3.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.831722</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.942834</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.960389</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.945341</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.855950</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.595745</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.912882</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.956703</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.963264</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.965332</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.943698</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-29</th>\n",
       "      <td>0.770369</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.908678</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.434434</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.873984</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.838905</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.975930</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.779336</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.937027</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.822678</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.963666</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.829687</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.721044</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.840575</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.874848</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.761749</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.994239</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.949656</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.979380</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.773470</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.948791</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.768622</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.955549</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.968887</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.818108</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.705177</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.675835</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.932344</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.930403</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.970429</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.961637</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.950565</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-30</th>\n",
       "      <td>0.782095</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.551845</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.515695</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.922925</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.854433</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.979928</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.807751</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.862949</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.866391</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.963117</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.843102</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.724625</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.841536</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.876466</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.552406</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.993912</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.959104</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.979198</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.768994</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.953622</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.719459</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.919011</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.975244</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.801976</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.743677</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.745204</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.935533</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.946263</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.980273</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.903653</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.959533</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-31</th>\n",
       "      <td>0.820739</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.371958</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.514544</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.930131</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.875006</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.940650</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.841326</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.874948</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.880132</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.977417</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.840428</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.633889</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.875843</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.855363</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.604526</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.992935</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.963080</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.978527</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.777553</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.958522</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.726540</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.922901</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.975224</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.815438</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.688897</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.926372</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.938810</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.954776</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.951364</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.913705</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.954000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-01</th>\n",
       "      <td>0.739700</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.314258</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.472478</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.938151</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.834762</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.910804</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.853967</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.855825</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.858063</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.954210</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.852730</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.618056</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.840946</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.841128</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.740020</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.993463</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.956256</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.978786</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.754559</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.955443</td>\n",
       "      <td>2.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.733067</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.923564</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.953285</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.820884</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.696099</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.912739</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.939391</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.960495</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.949298</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.922440</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.950869</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-02</th>\n",
       "      <td>0.743684</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.287863</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.580662</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.924102</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.839652</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.894481</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.885565</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.858061</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.872405</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.956351</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.851522</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.663796</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.845195</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.794370</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.830691</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.993012</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.956778</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.977680</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.745377</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.958060</td>\n",
       "      <td>2.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.742354</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.929984</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.949350</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.828744</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.695605</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.866263</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.938758</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.964764</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.952497</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.937082</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.952078</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-03</th>\n",
       "      <td>0.751122</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.264429</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.578586</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.897889</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.840418</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.886386</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.842666</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.857816</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.883953</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.948789</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.857931</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.769221</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.849143</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.775948</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.908256</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.992010</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.954846</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.977565</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.687029</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.958466</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.755553</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.933762</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.947039</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.834124</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.707043</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.875319</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.944696</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.944922</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.939818</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.940012</td>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.956488</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-04</th>\n",
       "      <td>0.744069</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.246631</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.597198</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.904921</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.823586</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.887502</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.851339</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.849725</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.887025</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.948959</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.854753</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.765893</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.825145</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.747376</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.939236</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.992247</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.953472</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.970482</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.695605</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.961577</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.751535</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.934823</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.946863</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.836810</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.715470</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.872729</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.942425</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.949180</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.946641</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.956384</td>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.946991</td>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-05</th>\n",
       "      <td>0.729910</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.242735</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.559343</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.906931</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.823482</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.886492</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.827581</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.849644</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.882650</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.950287</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.839329</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.811936</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.744241</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.751067</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.862363</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.991581</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.953734</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.893027</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.706560</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.955354</td>\n",
       "      <td>2.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.754968</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.935135</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.881892</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.825124</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.741169</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.864186</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.945325</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.952449</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.943961</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.966246</td>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.953092</td>\n",
       "      <td>7.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-06</th>\n",
       "      <td>0.729779</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.241851</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.496007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.903362</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.823624</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.883214</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.835168</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.842313</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.876524</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.950327</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.820854</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.690856</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.734758</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.752592</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.858126</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.987199</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.951657</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.878649</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.715242</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.956503</td>\n",
       "      <td>2.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.749571</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.933603</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.879474</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.792536</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.747141</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.858789</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.940682</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.949048</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.946996</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.970741</td>\n",
       "      <td>7.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.956285</td>\n",
       "      <td>7.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-07</th>\n",
       "      <td>0.729205</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.244023</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.497183</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.888820</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.806110</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.881972</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.829037</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.844450</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.834812</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.948801</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.814548</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.669247</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.733922</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.753504</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.834411</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.985964</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.951581</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.879896</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.702435</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.916988</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.737929</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.932057</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.820114</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.793570</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.753460</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.848225</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.939164</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.948532</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.937392</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.919110</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.958898</td>\n",
       "      <td>7.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-08</th>\n",
       "      <td>0.714344</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.244616</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.499039</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.869338</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.802236</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.883384</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.826822</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.847168</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.795838</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.942943</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.817268</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.660238</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.728124</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.734552</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.848523</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.985018</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.946219</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.879558</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.694411</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.895003</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.732615</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.910049</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.820699</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.793455</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.758244</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.850728</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.938653</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.936375</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.936184</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.870373</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.960111</td>\n",
       "      <td>7.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-09</th>\n",
       "      <td>0.716084</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.245538</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.507021</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.785775</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.798145</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.885131</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.826082</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.849358</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.769118</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.924345</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.800861</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.644573</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.690819</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.733554</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.818504</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.985013</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.945656</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.879850</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.695125</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.866306</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.736647</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.899286</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.820448</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.780473</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.750313</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.839755</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.939663</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.909569</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.929921</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.872288</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.957932</td>\n",
       "      <td>7.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-10</th>\n",
       "      <td>0.719142</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.243930</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.509212</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.753200</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.800754</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.886431</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.810431</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.834206</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.733127</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.895751</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.793658</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.637053</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.649933</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.730961</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.805994</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.984924</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.944656</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.877359</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.668043</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.829212</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.734787</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.888775</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.782331</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.775507</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.729089</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.844804</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.929784</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.870947</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.926472</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.876944</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.957369</td>\n",
       "      <td>7.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-11</th>\n",
       "      <td>0.720783</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.244932</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.516061</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.747769</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.804601</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.888260</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.807888</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.832009</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.715380</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.883705</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.790292</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.631481</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.576981</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.712333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.801333</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.978752</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.940236</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.868370</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.666962</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.797204</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.722189</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.876497</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.781742</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.776235</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.737170</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.835791</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.921341</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.832147</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.926659</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.874191</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.957522</td>\n",
       "      <td>7.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-12</th>\n",
       "      <td>0.706017</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.247411</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.520916</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.750420</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.805054</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.890199</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.807263</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.834952</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.677471</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.859997</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.772824</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.634071</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.488233</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.715271</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.791007</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.972331</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.939865</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.859793</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.663822</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.729753</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.692002</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.871095</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.780411</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.772862</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.744789</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.824375</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.906559</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.801050</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.922612</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.872825</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.491940</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-13</th>\n",
       "      <td>0.708523</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.249848</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.521267</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.750960</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.808891</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.890987</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.802575</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.822282</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.645234</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.835883</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.750356</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.624729</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.476144</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.712781</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.790562</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.969725</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.939098</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.857914</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.650910</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.676742</td>\n",
       "      <td>2.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.672058</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.857451</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.768211</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.777033</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.736930</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.823951</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.898792</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.740265</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.919964</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.872172</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.500290</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-14</th>\n",
       "      <td>0.709396</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.244102</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.528218</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.752114</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.811348</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.888755</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.794972</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.817975</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.624385</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.826927</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.717352</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.619278</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.466842</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.714431</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.791279</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.966564</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.930422</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.854334</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.647608</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.615783</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.671442</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.849945</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.766817</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.764695</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.721041</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.821883</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.886747</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.706465</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.907437</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.864761</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.501284</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-15</th>\n",
       "      <td>0.708260</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.246346</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.535706</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.759029</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.814787</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.879680</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.792101</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.814839</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.566494</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.810613</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.713248</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.617851</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.477169</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.716979</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.793030</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.966364</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.928479</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.847793</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.648042</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.551647</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.673766</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.846746</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.766873</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.770093</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.711554</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.816605</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.869957</td>\n",
       "      <td>3.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.656099</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.898217</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.861165</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.499296</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-16</th>\n",
       "      <td>0.716401</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.248455</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.542300</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.767033</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.818959</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.870064</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.789352</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.815640</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.421180</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.788897</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.641099</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.615359</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.488739</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.720777</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.792790</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.965203</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.926442</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.841599</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.648328</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.488476</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.679535</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.843677</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.754588</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.776082</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.699642</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.817011</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.852286</td>\n",
       "      <td>3.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.604737</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.877612</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.861388</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.498108</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-17</th>\n",
       "      <td>0.728013</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.250411</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.548532</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.775634</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.824154</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.862937</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.792998</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.819423</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.330284</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.772651</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.562889</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.613795</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.500295</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.724764</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.794236</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.960600</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.901940</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.836165</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.651532</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.442601</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.687343</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.840736</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.746890</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.779148</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.697404</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.815438</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.829551</td>\n",
       "      <td>3.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.552824</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.854113</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.861903</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.496643</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-18</th>\n",
       "      <td>0.738486</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.252227</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.554156</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.784167</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.830051</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.861593</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.796702</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.822933</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.224623</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.762072</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.492584</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.614710</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.506789</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.729603</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.794681</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.957789</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.871013</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.834265</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.650639</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.384334</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.696483</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.795661</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.748883</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.785313</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.691201</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.814947</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.807594</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.507855</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.832529</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.862900</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.495109</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-19</th>\n",
       "      <td>0.747826</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.253621</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.559287</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.792798</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.836457</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.861536</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.803273</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.828506</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.238141</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.758835</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.490023</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.614057</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.517428</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.734488</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.795815</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.954650</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.862145</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.835500</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.656176</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.284578</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.686675</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.702222</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.750268</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.792901</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.689477</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.815611</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.789018</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.463262</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.807667</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.864321</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.487744</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-20</th>\n",
       "      <td>0.755262</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.254803</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.564077</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.799375</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.842140</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.860330</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.809347</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.828000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.255126</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.764978</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.497271</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.608790</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.527750</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.740286</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.791352</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.952489</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.854573</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.306148</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.663051</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.173286</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.697170</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.643156</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.753335</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.799921</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.692283</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.817027</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.779897</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.420716</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.783233</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.865881</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.483551</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-21</th>\n",
       "      <td>0.761060</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.255878</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.568451</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.805806</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.847207</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.859948</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.814398</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.832050</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.276725</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.770970</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.512978</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.611458</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.537624</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.746302</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.793844</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.951025</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.851804</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.312972</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.672500</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.124792</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.707486</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.540110</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.757577</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.802099</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.697093</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.818943</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.774447</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.362112</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.721863</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.867087</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.481227</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-22</th>\n",
       "      <td>0.767026</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.256810</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.572544</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.810867</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.851689</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.859530</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.819057</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.835671</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.301748</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.776695</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.528600</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.614773</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.547263</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.752560</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.797597</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.950277</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.860456</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.320447</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.681817</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.144499</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.717153</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.427642</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.761507</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.809514</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.702571</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.821054</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.770876</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.258301</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.696145</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.869136</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.479956</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-23</th>\n",
       "      <td>0.773067</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.257340</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.576076</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.816304</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.855729</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.858955</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.823558</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.838946</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.324167</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.781842</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.544039</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.622900</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.556839</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.758501</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.794976</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.950149</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.867073</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.329148</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.690900</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.167337</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.726335</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.104442</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.764137</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.812732</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.708166</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.823299</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.771898</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.272968</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.683626</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.871359</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.479105</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-24</th>\n",
       "      <td>0.778308</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.257172</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.579288</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.821424</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.858297</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.860627</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.828202</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.841867</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.346768</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.786445</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.558342</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.631152</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.566221</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.763947</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.798445</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.950362</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.871516</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.337827</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.699412</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.189197</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.735089</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>-0.052744</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.767827</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.817658</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.713790</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.825541</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.777837</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.298582</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.681396</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.873689</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.479936</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Liaoning                 Xizang                Qinghai        \\\n",
       "                corr shift window      corr shift window      corr shift   \n",
       "2020-01-17       NaN   NaN    NaN       NaN   NaN    NaN       NaN   NaN   \n",
       "2020-01-18       NaN   NaN    NaN       NaN   NaN    NaN       NaN   NaN   \n",
       "2020-01-19       NaN   NaN    NaN       NaN   NaN    NaN       NaN   NaN   \n",
       "2020-01-20       NaN   NaN    NaN       NaN   NaN    NaN       NaN   NaN   \n",
       "2020-01-21       NaN   NaN    NaN       NaN   NaN    NaN       NaN   NaN   \n",
       "2020-01-22  1.000000   5.0    5.0       NaN   NaN    NaN       NaN   NaN   \n",
       "2020-01-23  0.819636   1.0    1.0       NaN   NaN    NaN       NaN   NaN   \n",
       "2020-01-24  0.972306   7.0    1.0       NaN   NaN    NaN       NaN   NaN   \n",
       "2020-01-25  0.930973   3.0    1.0       NaN   NaN    NaN  1.000000   8.0   \n",
       "2020-01-26  0.850410   1.0    1.0       NaN   NaN    NaN  0.994995   7.0   \n",
       "2020-01-27  0.841992   1.0    1.0       NaN   NaN    NaN  0.905532   5.0   \n",
       "2020-01-28  0.887108   1.0    1.0       NaN   NaN    NaN  0.583131   0.0   \n",
       "2020-01-29  0.770369   1.0    1.0  0.908678  10.0    5.0  0.434434   0.0   \n",
       "2020-01-30  0.782095   1.0    1.0  0.551845   5.0    1.0  0.515695   0.0   \n",
       "2020-01-31  0.820739   4.0    1.0  0.371958   3.0    1.0  0.514544   0.0   \n",
       "2020-02-01  0.739700   1.0    1.0  0.314258   1.0    1.0  0.472478   0.0   \n",
       "2020-02-02  0.743684   1.0    1.0  0.287863   1.0    1.0  0.580662   7.0   \n",
       "2020-02-03  0.751122   1.0    1.0  0.264429   1.0    1.0  0.578586   6.0   \n",
       "2020-02-04  0.744069   1.0    1.0  0.246631   1.0    1.0  0.597198   6.0   \n",
       "2020-02-05  0.729910   1.0    1.0  0.242735   1.0    1.0  0.559343   6.0   \n",
       "2020-02-06  0.729779   1.0    1.0  0.241851   1.0    1.0  0.496007   0.0   \n",
       "2020-02-07  0.729205   1.0    1.0  0.244023   1.0    1.0  0.497183   0.0   \n",
       "2020-02-08  0.714344   1.0    1.0  0.244616   1.0    1.0  0.499039   0.0   \n",
       "2020-02-09  0.716084   1.0    1.0  0.245538   1.0    1.0  0.507021   0.0   \n",
       "2020-02-10  0.719142   1.0    1.0  0.243930   1.0    1.0  0.509212   0.0   \n",
       "2020-02-11  0.720783   1.0    1.0  0.244932   1.0    1.0  0.516061   0.0   \n",
       "2020-02-12  0.706017   1.0    1.0  0.247411   1.0    1.0  0.520916   0.0   \n",
       "2020-02-13  0.708523   1.0    1.0  0.249848   1.0    1.0  0.521267   0.0   \n",
       "2020-02-14  0.709396   1.0    1.0  0.244102   0.0    2.0  0.528218   0.0   \n",
       "2020-02-15  0.708260   0.0    2.0  0.246346   0.0    2.0  0.535706   0.0   \n",
       "2020-02-16  0.716401   0.0    2.0  0.248455   0.0    2.0  0.542300   0.0   \n",
       "2020-02-17  0.728013   0.0    2.0  0.250411   0.0    2.0  0.548532   0.0   \n",
       "2020-02-18  0.738486   0.0    2.0  0.252227   0.0    2.0  0.554156   0.0   \n",
       "2020-02-19  0.747826   0.0    2.0  0.253621   0.0    2.0  0.559287   0.0   \n",
       "2020-02-20  0.755262   0.0    2.0  0.254803   0.0    2.0  0.564077   0.0   \n",
       "2020-02-21  0.761060   0.0    2.0  0.255878   0.0    2.0  0.568451   0.0   \n",
       "2020-02-22  0.767026   0.0    2.0  0.256810   0.0    2.0  0.572544   0.0   \n",
       "2020-02-23  0.773067   0.0    2.0  0.257340   0.0    2.0  0.576076   0.0   \n",
       "2020-02-24  0.778308   0.0    2.0  0.257172   0.0    2.0  0.579288   0.0   \n",
       "\n",
       "                   Shanghai                 Fujian               Zhejiang  \\\n",
       "           window      corr shift window      corr shift window      corr   \n",
       "2020-01-17    NaN       NaN   NaN    NaN       NaN   NaN    NaN       NaN   \n",
       "2020-01-18    NaN       NaN   NaN    NaN       NaN   NaN    NaN       NaN   \n",
       "2020-01-19    NaN       NaN   NaN    NaN       NaN   NaN    NaN       NaN   \n",
       "2020-01-20    NaN  1.000000   3.0    1.0       NaN   NaN    NaN       NaN   \n",
       "2020-01-21    NaN  0.998789   3.0    1.0       NaN   NaN    NaN  1.000000   \n",
       "2020-01-22    NaN  0.975092   3.0    1.0  1.000000   5.0    3.0  0.918001   \n",
       "2020-01-23    NaN  0.875797   3.0    1.0  0.993630   4.0    1.0  0.987268   \n",
       "2020-01-24    NaN  0.940807   3.0    1.0  0.996053   6.0    2.0  0.887503   \n",
       "2020-01-25    1.0  0.833522   3.0    1.0  0.924437   3.0    1.0  0.939034   \n",
       "2020-01-26    3.0  0.832341   3.0    2.0  0.955699   3.0    7.0  0.825240   \n",
       "2020-01-27    1.0  0.830059   6.0    1.0  0.757819   2.0    1.0  0.877974   \n",
       "2020-01-28    1.0  0.841183   6.0    1.0  0.820783   2.0    1.0  0.959823   \n",
       "2020-01-29    1.0  0.873984   6.0    1.0  0.838905   2.0    1.0  0.975930   \n",
       "2020-01-30    1.0  0.922925   6.0    1.0  0.854433   2.0    1.0  0.979928   \n",
       "2020-01-31    1.0  0.930131   0.0    4.0  0.875006   2.0    1.0  0.940650   \n",
       "2020-02-01    1.0  0.938151   0.0    4.0  0.834762   2.0    1.0  0.910804   \n",
       "2020-02-02    1.0  0.924102   1.0    1.0  0.839652   2.0    1.0  0.894481   \n",
       "2020-02-03    1.0  0.897889   0.0    2.0  0.840418   2.0    1.0  0.886386   \n",
       "2020-02-04    1.0  0.904921   1.0    1.0  0.823586   0.0    3.0  0.887502   \n",
       "2020-02-05    1.0  0.906931   0.0    3.0  0.823482   0.0    3.0  0.886492   \n",
       "2020-02-06    7.0  0.903362   0.0    3.0  0.823624   0.0    3.0  0.883214   \n",
       "2020-02-07    1.0  0.888820   0.0    3.0  0.806110   0.0    3.0  0.881972   \n",
       "2020-02-08    1.0  0.869338   1.0    1.0  0.802236   0.0    3.0  0.883384   \n",
       "2020-02-09    1.0  0.785775   0.0    3.0  0.798145   0.0    3.0  0.885131   \n",
       "2020-02-10    1.0  0.753200   0.0    3.0  0.800754   0.0    3.0  0.886431   \n",
       "2020-02-11    1.0  0.747769   0.0    1.0  0.804601   0.0    3.0  0.888260   \n",
       "2020-02-12    1.0  0.750420   0.0    1.0  0.805054   0.0    3.0  0.890199   \n",
       "2020-02-13    1.0  0.750960   0.0    1.0  0.808891   0.0    3.0  0.890987   \n",
       "2020-02-14    1.0  0.752114   0.0    1.0  0.811348   0.0    3.0  0.888755   \n",
       "2020-02-15    1.0  0.759029   0.0    1.0  0.814787   0.0    3.0  0.879680   \n",
       "2020-02-16    1.0  0.767033   0.0    1.0  0.818959   0.0    3.0  0.870064   \n",
       "2020-02-17    1.0  0.775634   0.0    1.0  0.824154   0.0    3.0  0.862937   \n",
       "2020-02-18    1.0  0.784167   0.0    1.0  0.830051   0.0    3.0  0.861593   \n",
       "2020-02-19    1.0  0.792798   0.0    1.0  0.836457   0.0    3.0  0.861536   \n",
       "2020-02-20    1.0  0.799375   0.0    1.0  0.842140   0.0    3.0  0.860330   \n",
       "2020-02-21    1.0  0.805806   0.0    1.0  0.847207   0.0    3.0  0.859948   \n",
       "2020-02-22    1.0  0.810867   0.0    1.0  0.851689   0.0    3.0  0.859530   \n",
       "2020-02-23    1.0  0.816304   0.0    1.0  0.855729   0.0    3.0  0.858955   \n",
       "2020-02-24    1.0  0.821424   0.0    1.0  0.858297   0.0    3.0  0.860627   \n",
       "\n",
       "                          Beijing                 Yunnan               \\\n",
       "           shift window      corr shift window      corr shift window   \n",
       "2020-01-17   NaN    NaN       NaN   NaN    NaN       NaN   NaN    NaN   \n",
       "2020-01-18   NaN    NaN       NaN   NaN    NaN       NaN   NaN    NaN   \n",
       "2020-01-19   NaN    NaN       NaN   NaN    NaN       NaN   NaN    NaN   \n",
       "2020-01-20   NaN    NaN  1.000000   3.0    3.0       NaN   NaN    NaN   \n",
       "2020-01-21   4.0    1.0  0.911712   1.0    2.0       NaN   NaN    NaN   \n",
       "2020-01-22   3.0    1.0  0.834677   0.0    1.0       NaN   NaN    NaN   \n",
       "2020-01-23   5.0    2.0  0.920736   2.0    1.0       NaN   NaN    NaN   \n",
       "2020-01-24   2.0    1.0  0.928124   2.0    1.0  1.000000   7.0    9.0   \n",
       "2020-01-25   2.0    1.0  0.956258   2.0    1.0  0.967649   4.0    1.0   \n",
       "2020-01-26   1.0    2.0  0.952460   2.0    1.0  0.978369   4.0    1.0   \n",
       "2020-01-27   2.0    1.0  0.826853   4.0    2.0  0.949356   4.0    2.0   \n",
       "2020-01-28   2.0    1.0  0.887173   4.0    2.0  0.951086   8.0    1.0   \n",
       "2020-01-29   2.0    1.0  0.779336   0.0    1.0  0.937027   4.0    5.0   \n",
       "2020-01-30   2.0    1.0  0.807751   0.0    1.0  0.862949   1.0    2.0   \n",
       "2020-01-31   2.0    1.0  0.841326   0.0    1.0  0.874948   1.0    2.0   \n",
       "2020-02-01   2.0    1.0  0.853967   0.0    7.0  0.855825   1.0    2.0   \n",
       "2020-02-02   1.0    2.0  0.885565   0.0    8.0  0.858061   1.0    2.0   \n",
       "2020-02-03   1.0    2.0  0.842666   1.0    2.0  0.857816   1.0    2.0   \n",
       "2020-02-04   1.0    2.0  0.851339   2.0    1.0  0.849725   1.0    2.0   \n",
       "2020-02-05   1.0    2.0  0.827581   1.0    4.0  0.849644   1.0    2.0   \n",
       "2020-02-06   1.0    3.0  0.835168   1.0    4.0  0.842313   1.0    2.0   \n",
       "2020-02-07   1.0    3.0  0.829037   0.0    5.0  0.844450   1.0    2.0   \n",
       "2020-02-08   1.0    3.0  0.826822   1.0    3.0  0.847168   1.0    2.0   \n",
       "2020-02-09   1.0    3.0  0.826082   1.0    3.0  0.849358   1.0    2.0   \n",
       "2020-02-10   1.0    3.0  0.810431   1.0    3.0  0.834206   1.0    2.0   \n",
       "2020-02-11   1.0    3.0  0.807888   0.0    5.0  0.832009   1.0    2.0   \n",
       "2020-02-12   1.0    3.0  0.807263   1.0    3.0  0.834952   1.0    2.0   \n",
       "2020-02-13   1.0    3.0  0.802575   1.0    3.0  0.822282   1.0    2.0   \n",
       "2020-02-14   1.0    3.0  0.794972   1.0    3.0  0.817975   1.0    2.0   \n",
       "2020-02-15   1.0    3.0  0.792101   0.0    4.0  0.814839   1.0    2.0   \n",
       "2020-02-16   1.0    3.0  0.789352   0.0    4.0  0.815640   1.0    2.0   \n",
       "2020-02-17   1.0    3.0  0.792998   0.0    4.0  0.819423   1.0    2.0   \n",
       "2020-02-18   1.0    3.0  0.796702   0.0    4.0  0.822933   1.0    2.0   \n",
       "2020-02-19   1.0    3.0  0.803273   0.0    4.0  0.828506   1.0    2.0   \n",
       "2020-02-20   1.0    3.0  0.809347   0.0    4.0  0.828000   1.0    2.0   \n",
       "2020-02-21   1.0    3.0  0.814398   0.0    4.0  0.832050   1.0    2.0   \n",
       "2020-02-22   1.0    3.0  0.819057   0.0    4.0  0.835671   1.0    2.0   \n",
       "2020-02-23   0.0    4.0  0.823558   0.0    4.0  0.838946   1.0    2.0   \n",
       "2020-02-24   0.0    4.0  0.828202   0.0    4.0  0.841867   1.0    2.0   \n",
       "\n",
       "           Chongqing              Guangdong                Shaanxi        \\\n",
       "                corr shift window      corr shift window      corr shift   \n",
       "2020-01-17       NaN   NaN    NaN       NaN   NaN    NaN       NaN   NaN   \n",
       "2020-01-18       NaN   NaN    NaN       NaN   NaN    NaN       NaN   NaN   \n",
       "2020-01-19       NaN   NaN    NaN  1.000000   2.0    5.0       NaN   NaN   \n",
       "2020-01-20       NaN   NaN    NaN  0.998194   3.0    1.0       NaN   NaN   \n",
       "2020-01-21  1.000000   4.0    1.0  0.777537   1.0    1.0       NaN   NaN   \n",
       "2020-01-22  0.881693   0.0    2.0  0.587917   0.0    1.0       NaN   NaN   \n",
       "2020-01-23  0.964042   3.0    5.0  0.802286   0.0    1.0  1.000000   6.0   \n",
       "2020-01-24  0.988956   3.0    4.0  0.884850   0.0    1.0  0.849901   2.0   \n",
       "2020-01-25  0.947887   3.0    1.0  0.917913   0.0    4.0  0.981689   7.0   \n",
       "2020-01-26  0.965610   3.0    1.0  0.931411   2.0    1.0  0.917898   4.0   \n",
       "2020-01-27  0.936981   2.0    2.0  0.935458   3.0    2.0  0.897052   4.0   \n",
       "2020-01-28  0.895438   3.0    1.0  0.953128   4.0    1.0  0.856229   4.0   \n",
       "2020-01-29  0.822678   0.0    1.0  0.963666   5.0    1.0  0.829687   0.0   \n",
       "2020-01-30  0.866391   3.0    1.0  0.963117   6.0    1.0  0.843102   4.0   \n",
       "2020-01-31  0.880132   3.0    1.0  0.977417   6.0    2.0  0.840428   4.0   \n",
       "2020-02-01  0.858063   3.0    1.0  0.954210   1.0    5.0  0.852730   4.0   \n",
       "2020-02-02  0.872405   3.0    1.0  0.956351   1.0    5.0  0.851522   4.0   \n",
       "2020-02-03  0.883953   3.0    2.0  0.948789   1.0    5.0  0.857931   4.0   \n",
       "2020-02-04  0.887025   3.0    2.0  0.948959   1.0    5.0  0.854753   4.0   \n",
       "2020-02-05  0.882650   3.0    2.0  0.950287   1.0    5.0  0.839329   4.0   \n",
       "2020-02-06  0.876524   3.0    2.0  0.950327   1.0    5.0  0.820854   4.0   \n",
       "2020-02-07  0.834812   3.0    2.0  0.948801   1.0    5.0  0.814548   0.0   \n",
       "2020-02-08  0.795838   3.0    2.0  0.942943   1.0    5.0  0.817268   4.0   \n",
       "2020-02-09  0.769118   3.0    2.0  0.924345   1.0    5.0  0.800861   0.0   \n",
       "2020-02-10  0.733127   3.0    2.0  0.895751   2.0    4.0  0.793658   0.0   \n",
       "2020-02-11  0.715380   3.0    2.0  0.883705   0.0    6.0  0.790292   0.0   \n",
       "2020-02-12  0.677471   3.0    2.0  0.859997   0.0    6.0  0.772824   1.0   \n",
       "2020-02-13  0.645234   2.0    3.0  0.835883   0.0    6.0  0.750356   2.0   \n",
       "2020-02-14  0.624385   3.0    1.0  0.826927   1.0    5.0  0.717352   4.0   \n",
       "2020-02-15  0.566494   4.0    1.0  0.810613   0.0    6.0  0.713248   4.0   \n",
       "2020-02-16  0.421180   5.0    1.0  0.788897   0.0    6.0  0.641099   4.0   \n",
       "2020-02-17  0.330284   6.0    1.0  0.772651   0.0    6.0  0.562889   4.0   \n",
       "2020-02-18  0.224623   7.0    1.0  0.762072   0.0    6.0  0.492584   0.0   \n",
       "2020-02-19  0.238141   0.0    1.0  0.758835   0.0    6.0  0.490023   0.0   \n",
       "2020-02-20  0.255126   0.0    1.0  0.764978   0.0    5.0  0.497271   0.0   \n",
       "2020-02-21  0.276725   0.0    1.0  0.770970   0.0    5.0  0.512978   0.0   \n",
       "2020-02-22  0.301748   0.0    1.0  0.776695   0.0    5.0  0.528600   0.0   \n",
       "2020-02-23  0.324167   0.0    1.0  0.781842   0.0    5.0  0.544039   0.0   \n",
       "2020-02-24  0.346768   0.0    1.0  0.786445   0.0    5.0  0.558342   0.0   \n",
       "\n",
       "                    Tianjin                Ningxia                  Gansu  \\\n",
       "           window      corr shift window      corr shift window      corr   \n",
       "2020-01-17    NaN       NaN   NaN    NaN       NaN   NaN    NaN       NaN   \n",
       "2020-01-18    NaN       NaN   NaN    NaN       NaN   NaN    NaN       NaN   \n",
       "2020-01-19    NaN       NaN   NaN    NaN       NaN   NaN    NaN       NaN   \n",
       "2020-01-20    NaN       NaN   NaN    NaN       NaN   NaN    NaN       NaN   \n",
       "2020-01-21    NaN  1.000000   4.0    3.0       NaN   NaN    NaN       NaN   \n",
       "2020-01-22    NaN  0.919850   3.0    1.0       NaN   NaN    NaN       NaN   \n",
       "2020-01-23    1.0  0.694104   0.0    2.0  1.000000   6.0    1.0  1.000000   \n",
       "2020-01-24    1.0  0.844489   1.0    1.0  0.795900   2.0    1.0  0.923515   \n",
       "2020-01-25    7.0  0.796487   0.0    1.0  0.735592   2.0    1.0  0.959748   \n",
       "2020-01-26    1.0  0.876317   0.0    2.0  0.886726   2.0    1.0  0.978747   \n",
       "2020-01-27    1.0  0.967385   1.0    1.0  0.940315   2.0    2.0  0.952753   \n",
       "2020-01-28    1.0  0.744750   0.0    1.0  0.774514   0.0    1.0  0.944360   \n",
       "2020-01-29    1.0  0.721044   0.0    1.0  0.840575   3.0    1.0  0.874848   \n",
       "2020-01-30    1.0  0.724625   0.0    1.0  0.841536   0.0    4.0  0.876466   \n",
       "2020-01-31    1.0  0.633889   0.0    1.0  0.875843   0.0    7.0  0.855363   \n",
       "2020-02-01    1.0  0.618056   6.0    1.0  0.840946   0.0    4.0  0.841128   \n",
       "2020-02-02    1.0  0.663796   6.0    1.0  0.845195   0.0    4.0  0.794370   \n",
       "2020-02-03    1.0  0.769221   6.0    3.0  0.849143   0.0    4.0  0.775948   \n",
       "2020-02-04    1.0  0.765893   6.0    1.0  0.825145   0.0    1.0  0.747376   \n",
       "2020-02-05    1.0  0.811936   6.0    1.0  0.744241   2.0    1.0  0.751067   \n",
       "2020-02-06    1.0  0.690856   6.0    1.0  0.734758   2.0    2.0  0.752592   \n",
       "2020-02-07    6.0  0.669247   0.0    1.0  0.733922   2.0    2.0  0.753504   \n",
       "2020-02-08    1.0  0.660238   6.0    1.0  0.728124   2.0    2.0  0.734552   \n",
       "2020-02-09    6.0  0.644573   6.0    1.0  0.690819   2.0    2.0  0.733554   \n",
       "2020-02-10    6.0  0.637053   0.0    1.0  0.649933   2.0    2.0  0.730961   \n",
       "2020-02-11    6.0  0.631481   6.0    2.0  0.576981   2.0    2.0  0.712333   \n",
       "2020-02-12    1.0  0.634071   6.0    2.0  0.488233   2.0    2.0  0.715271   \n",
       "2020-02-13    1.0  0.624729   6.0    2.0  0.476144   0.0   10.0  0.712781   \n",
       "2020-02-14    1.0  0.619278   6.0    2.0  0.466842   0.0   10.0  0.714431   \n",
       "2020-02-15    1.0  0.617851   6.0    2.0  0.477169   0.0   10.0  0.716979   \n",
       "2020-02-16    2.0  0.615359   6.0    2.0  0.488739   0.0   10.0  0.720777   \n",
       "2020-02-17    3.0  0.613795   6.0    2.0  0.500295   0.0   10.0  0.724764   \n",
       "2020-02-18    7.0  0.614710   6.0    2.0  0.506789   0.0   10.0  0.729603   \n",
       "2020-02-19    6.0  0.614057   6.0    2.0  0.517428   0.0   10.0  0.734488   \n",
       "2020-02-20    6.0  0.608790   6.0    2.0  0.527750   0.0   10.0  0.740286   \n",
       "2020-02-21    6.0  0.611458   0.0    9.0  0.537624   0.0   10.0  0.746302   \n",
       "2020-02-22    5.0  0.614773   0.0    9.0  0.547263   0.0   10.0  0.752560   \n",
       "2020-02-23    5.0  0.622900   0.0    9.0  0.556839   0.0   10.0  0.758501   \n",
       "2020-02-24    5.0  0.631152   0.0    9.0  0.566221   0.0   10.0  0.763947   \n",
       "\n",
       "                            Jilin                Jiangsu               \\\n",
       "           shift window      corr shift window      corr shift window   \n",
       "2020-01-17   NaN    NaN       NaN   NaN    NaN       NaN   NaN    NaN   \n",
       "2020-01-18   NaN    NaN       NaN   NaN    NaN       NaN   NaN    NaN   \n",
       "2020-01-19   NaN    NaN       NaN   NaN    NaN       NaN   NaN    NaN   \n",
       "2020-01-20   NaN    NaN       NaN   NaN    NaN       NaN   NaN    NaN   \n",
       "2020-01-21   NaN    NaN       NaN   NaN    NaN       NaN   NaN    NaN   \n",
       "2020-01-22   NaN    NaN       NaN   NaN    NaN  1.000000   5.0    1.0   \n",
       "2020-01-23   6.0    1.0  1.000000   6.0    1.0  0.998676   5.0    9.0   \n",
       "2020-01-24   2.0    4.0  0.735244   2.0    1.0  0.969064   2.0    1.0   \n",
       "2020-01-25   2.0    2.0  0.493663   0.0    1.0  0.982891   2.0    1.0   \n",
       "2020-01-26   5.0    1.0  0.616116   0.0    1.0  0.988095   2.0    1.0   \n",
       "2020-01-27   5.0    1.0  0.685812   0.0    1.0  0.990198   1.0    4.0   \n",
       "2020-01-28   2.0    2.0  0.645440   0.0    1.0  0.994293   1.0    4.0   \n",
       "2020-01-29   0.0    1.0  0.761749   9.0    1.0  0.994239   0.0    5.0   \n",
       "2020-01-30   0.0    1.0  0.552406   2.0    1.0  0.993912   1.0    4.0   \n",
       "2020-01-31   0.0    1.0  0.604526   5.0    1.0  0.992935   0.0    5.0   \n",
       "2020-02-01   0.0    2.0  0.740020   5.0    1.0  0.993463   1.0    4.0   \n",
       "2020-02-02   0.0   10.0  0.830691   8.0    9.0  0.993012   0.0    6.0   \n",
       "2020-02-03   0.0   10.0  0.908256  10.0    3.0  0.992010   0.0    7.0   \n",
       "2020-02-04   0.0    7.0  0.939236  10.0    2.0  0.992247   0.0    7.0   \n",
       "2020-02-05   0.0    7.0  0.862363   6.0    6.0  0.991581   0.0    7.0   \n",
       "2020-02-06   0.0    8.0  0.858126   7.0    2.0  0.987199   0.0    8.0   \n",
       "2020-02-07   0.0    8.0  0.834411   6.0    3.0  0.985964   0.0    8.0   \n",
       "2020-02-08   6.0    1.0  0.848523   6.0    3.0  0.985018   0.0    8.0   \n",
       "2020-02-09   6.0    1.0  0.818504   6.0    1.0  0.985013   0.0    8.0   \n",
       "2020-02-10   6.0    1.0  0.805994   6.0    1.0  0.984924   0.0    8.0   \n",
       "2020-02-11   0.0    8.0  0.801333   6.0    1.0  0.978752   0.0    9.0   \n",
       "2020-02-12   0.0    8.0  0.791007   6.0    1.0  0.972331   0.0    9.0   \n",
       "2020-02-13   0.0    8.0  0.790562   6.0    1.0  0.969725   0.0    9.0   \n",
       "2020-02-14   0.0    8.0  0.791279   6.0    1.0  0.966564   0.0    9.0   \n",
       "2020-02-15   0.0    8.0  0.793030   6.0    1.0  0.966364   0.0    9.0   \n",
       "2020-02-16   0.0    8.0  0.792790   6.0    1.0  0.965203   0.0    9.0   \n",
       "2020-02-17   0.0    8.0  0.794236   6.0    1.0  0.960600   0.0    9.0   \n",
       "2020-02-18   0.0    8.0  0.794681   6.0    1.0  0.957789   0.0    8.0   \n",
       "2020-02-19   0.0    8.0  0.795815   6.0    1.0  0.954650   0.0    8.0   \n",
       "2020-02-20   0.0    8.0  0.791352   6.0    1.0  0.952489   0.0    8.0   \n",
       "2020-02-21   0.0    8.0  0.793844   6.0    1.0  0.951025   0.0    8.0   \n",
       "2020-02-22   0.0    8.0  0.797597   6.0    1.0  0.950277   0.0    8.0   \n",
       "2020-02-23   0.0    8.0  0.794976   6.0    1.0  0.950149   0.0    8.0   \n",
       "2020-02-24   0.0    8.0  0.798445   6.0    1.0  0.950362   0.0    8.0   \n",
       "\n",
       "             Sichuan               Shandong              Neimenggu        \\\n",
       "                corr shift window      corr shift window      corr shift   \n",
       "2020-01-17       NaN   NaN    NaN       NaN   NaN    NaN       NaN   NaN   \n",
       "2020-01-18       NaN   NaN    NaN       NaN   NaN    NaN       NaN   NaN   \n",
       "2020-01-19       NaN   NaN    NaN       NaN   NaN    NaN       NaN   NaN   \n",
       "2020-01-20       NaN   NaN    NaN       NaN   NaN    NaN       NaN   NaN   \n",
       "2020-01-21       NaN   NaN    NaN       NaN   NaN    NaN       NaN   NaN   \n",
       "2020-01-22  1.000000   5.0    1.0       NaN   NaN    NaN       NaN   NaN   \n",
       "2020-01-23  0.947776   1.0    4.0  1.000000   6.0    1.0  1.000000   6.0   \n",
       "2020-01-24  0.977393   1.0    4.0  0.970932   5.0    1.0  0.934167   2.0   \n",
       "2020-01-25  0.985815   1.0    3.0  0.980191   2.0    4.0  0.981591   5.0   \n",
       "2020-01-26  0.990368   2.0    2.0  0.989277   2.0    3.0  0.995592   5.0   \n",
       "2020-01-27  0.986027   2.0    1.0  0.991105   2.0    2.0  0.874382   2.0   \n",
       "2020-01-28  0.973860   0.0    4.0  0.989329   2.0    4.0  0.833562   2.0   \n",
       "2020-01-29  0.949656   0.0   10.0  0.979380   2.0    1.0  0.773470   0.0   \n",
       "2020-01-30  0.959104   0.0   10.0  0.979198   2.0    3.0  0.768994   0.0   \n",
       "2020-01-31  0.963080   0.0   10.0  0.978527   2.0    3.0  0.777553   0.0   \n",
       "2020-02-01  0.956256   0.0    8.0  0.978786   2.0    3.0  0.754559   0.0   \n",
       "2020-02-02  0.956778   1.0    6.0  0.977680   2.0    3.0  0.745377   0.0   \n",
       "2020-02-03  0.954846   1.0    6.0  0.977565   2.0    3.0  0.687029   2.0   \n",
       "2020-02-04  0.953472   1.0    6.0  0.970482   2.0    3.0  0.695605   0.0   \n",
       "2020-02-05  0.953734   1.0    6.0  0.893027   1.0    6.0  0.706560   0.0   \n",
       "2020-02-06  0.951657   1.0    6.0  0.878649   0.0   10.0  0.715242   0.0   \n",
       "2020-02-07  0.951581   1.0    6.0  0.879896   0.0   10.0  0.702435   0.0   \n",
       "2020-02-08  0.946219   1.0    6.0  0.879558   0.0   10.0  0.694411   0.0   \n",
       "2020-02-09  0.945656   1.0    7.0  0.879850   0.0   10.0  0.695125   0.0   \n",
       "2020-02-10  0.944656   1.0    7.0  0.877359   1.0   10.0  0.668043   0.0   \n",
       "2020-02-11  0.940236   1.0    7.0  0.868370   0.0   10.0  0.666962   0.0   \n",
       "2020-02-12  0.939865   1.0    7.0  0.859793   0.0   10.0  0.663822   0.0   \n",
       "2020-02-13  0.939098   1.0    7.0  0.857914   0.0   10.0  0.650910   0.0   \n",
       "2020-02-14  0.930422   2.0    5.0  0.854334   0.0   10.0  0.647608   0.0   \n",
       "2020-02-15  0.928479   3.0    4.0  0.847793   0.0   10.0  0.648042   0.0   \n",
       "2020-02-16  0.926442   3.0    4.0  0.841599   0.0    9.0  0.648328   0.0   \n",
       "2020-02-17  0.901940   4.0    3.0  0.836165   0.0    9.0  0.651532   0.0   \n",
       "2020-02-18  0.871013   0.0    9.0  0.834265   0.0    8.0  0.650639   0.0   \n",
       "2020-02-19  0.862145   0.0    9.0  0.835500   0.0    8.0  0.656176   0.0   \n",
       "2020-02-20  0.854573   0.0    9.0  0.306148   6.0    1.0  0.663051   0.0   \n",
       "2020-02-21  0.851804   0.0    8.0  0.312972   6.0    1.0  0.672500   0.0   \n",
       "2020-02-22  0.860456   0.0    8.0  0.320447   6.0    1.0  0.681817   0.0   \n",
       "2020-02-23  0.867073   0.0    8.0  0.329148   6.0    1.0  0.690900   0.0   \n",
       "2020-02-24  0.871516   0.0    8.0  0.337827   6.0    1.0  0.699412   0.0   \n",
       "\n",
       "                      Hunan                 Hainan                 Shanxi  \\\n",
       "           window      corr shift window      corr shift window      corr   \n",
       "2020-01-17    NaN       NaN   NaN    NaN       NaN   NaN    NaN       NaN   \n",
       "2020-01-18    NaN       NaN   NaN    NaN       NaN   NaN    NaN       NaN   \n",
       "2020-01-19    NaN       NaN   NaN    NaN       NaN   NaN    NaN       NaN   \n",
       "2020-01-20    NaN       NaN   NaN    NaN       NaN   NaN    NaN       NaN   \n",
       "2020-01-21    NaN       NaN   NaN    NaN       NaN   NaN    NaN       NaN   \n",
       "2020-01-22    NaN       NaN   NaN    NaN  1.000000   5.0    1.0  1.000000   \n",
       "2020-01-23    3.0  1.000000   6.0    1.0  0.935402   2.0    1.0  0.497612   \n",
       "2020-01-24    1.0  0.907053   2.0    2.0  0.966278   2.0    9.0  0.979864   \n",
       "2020-01-25    1.0  0.932272   2.0    3.0  0.739979   0.0    1.0  0.854716   \n",
       "2020-01-26    1.0  0.952758   2.0    4.0  0.730620   0.0    1.0  0.866993   \n",
       "2020-01-27    1.0  0.967159   2.0   10.0  0.780148   3.0    1.0  0.920604   \n",
       "2020-01-28    2.0  0.947422   3.0    9.0  0.831722   3.0    1.0  0.942834   \n",
       "2020-01-29    1.0  0.948791   2.0    9.0  0.768622   3.0    1.0  0.955549   \n",
       "2020-01-30    1.0  0.953622   2.0    7.0  0.719459   1.0    3.0  0.919011   \n",
       "2020-01-31    1.0  0.958522   2.0    7.0  0.726540   0.0    5.0  0.922901   \n",
       "2020-02-01    3.0  0.955443   2.0    8.0  0.733067   0.0    5.0  0.923564   \n",
       "2020-02-02   10.0  0.958060   2.0    8.0  0.742354   0.0    5.0  0.929984   \n",
       "2020-02-03    1.0  0.958466   2.0    9.0  0.755553   3.0    1.0  0.933762   \n",
       "2020-02-04   10.0  0.961577   2.0    9.0  0.751535   3.0    1.0  0.934823   \n",
       "2020-02-05   10.0  0.955354   2.0    8.0  0.754968   3.0    1.0  0.935135   \n",
       "2020-02-06   10.0  0.956503   2.0    8.0  0.749571   3.0    1.0  0.933603   \n",
       "2020-02-07   10.0  0.916988   6.0    3.0  0.737929   3.0   10.0  0.932057   \n",
       "2020-02-08   10.0  0.895003   7.0    1.0  0.732615   2.0   10.0  0.910049   \n",
       "2020-02-09   10.0  0.866306   6.0    3.0  0.736647   2.0   10.0  0.899286   \n",
       "2020-02-10   10.0  0.829212   7.0    1.0  0.734787   2.0   10.0  0.888775   \n",
       "2020-02-11   10.0  0.797204   7.0    1.0  0.722189   1.0   10.0  0.876497   \n",
       "2020-02-12    8.0  0.729753   7.0    1.0  0.692002   2.0   10.0  0.871095   \n",
       "2020-02-13   10.0  0.676742   2.0    8.0  0.672058   1.0   10.0  0.857451   \n",
       "2020-02-14   10.0  0.615783   3.0    6.0  0.671442   1.0   10.0  0.849945   \n",
       "2020-02-15   10.0  0.551647   4.0    1.0  0.673766   1.0   10.0  0.846746   \n",
       "2020-02-16   10.0  0.488476   5.0    1.0  0.679535   1.0   10.0  0.843677   \n",
       "2020-02-17   10.0  0.442601   6.0    1.0  0.687343   1.0   10.0  0.840736   \n",
       "2020-02-18   10.0  0.384334   7.0    1.0  0.696483   1.0   10.0  0.795661   \n",
       "2020-02-19   10.0  0.284578   8.0    1.0  0.686675   1.0   10.0  0.702222   \n",
       "2020-02-20    8.0  0.173286   9.0    1.0  0.697170   1.0   10.0  0.643156   \n",
       "2020-02-21    8.0  0.124792   0.0    1.0  0.707486   1.0   10.0  0.540110   \n",
       "2020-02-22    8.0  0.144499   0.0    1.0  0.717153   1.0   10.0  0.427642   \n",
       "2020-02-23    8.0  0.167337   0.0    1.0  0.726335   0.0   10.0  0.104442   \n",
       "2020-02-24    8.0  0.189197   0.0    1.0  0.735089   0.0   10.0 -0.052744   \n",
       "\n",
       "                            Hebei                Guangxi               \\\n",
       "           shift window      corr shift window      corr shift window   \n",
       "2020-01-17   NaN    NaN       NaN   NaN    NaN       NaN   NaN    NaN   \n",
       "2020-01-18   NaN    NaN       NaN   NaN    NaN       NaN   NaN    NaN   \n",
       "2020-01-19   NaN    NaN       NaN   NaN    NaN       NaN   NaN    NaN   \n",
       "2020-01-20   NaN    NaN       NaN   NaN    NaN       NaN   NaN    NaN   \n",
       "2020-01-21   NaN    NaN       NaN   NaN    NaN       NaN   NaN    NaN   \n",
       "2020-01-22   5.0    1.0  1.000000   5.0    5.0  1.000000   5.0    7.0   \n",
       "2020-01-23   1.0    1.0  0.935043   1.0    1.0  0.999912   5.0    3.0   \n",
       "2020-01-24   7.0    9.0  0.989196   4.0    1.0  0.976587   2.0    2.0   \n",
       "2020-01-25   3.0    1.0  0.942078   3.0    1.0  0.981045   2.0    2.0   \n",
       "2020-01-26   3.0    1.0  0.936889   1.0    3.0  0.965653   2.0    2.0   \n",
       "2020-01-27   3.0    1.0  0.937737   4.0    1.0  0.944423   2.0    2.0   \n",
       "2020-01-28   3.0    2.0  0.960389   4.0    1.0  0.945341   2.0    2.0   \n",
       "2020-01-29   3.0    2.0  0.968887   3.0    5.0  0.818108   1.0   10.0   \n",
       "2020-01-30   1.0    5.0  0.975244   4.0    3.0  0.801976   3.0    1.0   \n",
       "2020-01-31   1.0    5.0  0.975224   4.0    3.0  0.815438   0.0   10.0   \n",
       "2020-02-01   1.0    8.0  0.953285   3.0    4.0  0.820884   0.0   10.0   \n",
       "2020-02-02   1.0   10.0  0.949350   4.0    1.0  0.828744   0.0   10.0   \n",
       "2020-02-03   0.0   10.0  0.947039   3.0    4.0  0.834124   0.0   10.0   \n",
       "2020-02-04   0.0   10.0  0.946863   3.0    4.0  0.836810   0.0   10.0   \n",
       "2020-02-05   1.0   10.0  0.881892   3.0    4.0  0.825124   1.0    9.0   \n",
       "2020-02-06   0.0   10.0  0.879474   3.0    4.0  0.792536   0.0   10.0   \n",
       "2020-02-07   1.0    9.0  0.820114   3.0    5.0  0.793570   1.0    9.0   \n",
       "2020-02-08   1.0   10.0  0.820699   3.0    5.0  0.793455   1.0    9.0   \n",
       "2020-02-09   1.0   10.0  0.820448   3.0    5.0  0.780473   1.0   10.0   \n",
       "2020-02-10   1.0    9.0  0.782331   3.0    6.0  0.775507   1.0    9.0   \n",
       "2020-02-11   0.0   10.0  0.781742   2.0   10.0  0.776235   1.0    9.0   \n",
       "2020-02-12   1.0    8.0  0.780411   3.0   10.0  0.772862   1.0    9.0   \n",
       "2020-02-13   1.0    8.0  0.768211   3.0   10.0  0.777033   1.0    9.0   \n",
       "2020-02-14   2.0    5.0  0.766817   3.0   10.0  0.764695   1.0    9.0   \n",
       "2020-02-15   3.0    4.0  0.766873   3.0   10.0  0.770093   1.0    9.0   \n",
       "2020-02-16   5.0    1.0  0.754588   3.0   10.0  0.776082   1.0    9.0   \n",
       "2020-02-17   5.0    1.0  0.746890   2.0   10.0  0.779148   1.0    9.0   \n",
       "2020-02-18   6.0    1.0  0.748883   2.0   10.0  0.785313   1.0    9.0   \n",
       "2020-02-19   7.0    1.0  0.750268   2.0   10.0  0.792901   0.0   10.0   \n",
       "2020-02-20   8.0    1.0  0.753335   2.0   10.0  0.799921   0.0   10.0   \n",
       "2020-02-21   9.0    1.0  0.757577   2.0   10.0  0.802099   0.0   10.0   \n",
       "2020-02-22  10.0    1.0  0.761507   2.0   10.0  0.809514   0.0   10.0   \n",
       "2020-02-23  10.0    4.0  0.764137   2.0   10.0  0.812732   0.0   10.0   \n",
       "2020-02-24  10.0    4.0  0.767827   1.0   10.0  0.817658   0.0   10.0   \n",
       "\n",
       "            Xinjiang                Guizhou                  Anhui        \\\n",
       "                corr shift window      corr shift window      corr shift   \n",
       "2020-01-17       NaN   NaN    NaN       NaN   NaN    NaN       NaN   NaN   \n",
       "2020-01-18       NaN   NaN    NaN       NaN   NaN    NaN       NaN   NaN   \n",
       "2020-01-19       NaN   NaN    NaN       NaN   NaN    NaN       NaN   NaN   \n",
       "2020-01-20       NaN   NaN    NaN       NaN   NaN    NaN       NaN   NaN   \n",
       "2020-01-21       NaN   NaN    NaN       NaN   NaN    NaN       NaN   NaN   \n",
       "2020-01-22       NaN   NaN    NaN       NaN   NaN    NaN  1.000000   5.0   \n",
       "2020-01-23  1.000000   6.0    1.0  1.000000   6.0    3.0  0.888869   1.0   \n",
       "2020-01-24  0.837296   5.0    1.0  0.799186   2.0    1.0  0.960269   3.0   \n",
       "2020-01-25  0.759965   2.0    1.0  0.699622   2.0    1.0  0.960520   1.0   \n",
       "2020-01-26  0.729420   2.0    1.0  0.763695   2.0    1.0  0.918533   1.0   \n",
       "2020-01-27  0.903131   9.0    5.0  0.797751   2.0    1.0  0.863949   0.0   \n",
       "2020-01-28  0.855950   0.0    1.0  0.595745   0.0    1.0  0.912882   4.0   \n",
       "2020-01-29  0.705177   0.0    1.0  0.675835   3.0    1.0  0.932344   4.0   \n",
       "2020-01-30  0.743677   0.0    1.0  0.745204   3.0    1.0  0.935533   4.0   \n",
       "2020-01-31  0.688897   0.0    1.0  0.926372  10.0    5.0  0.938810   1.0   \n",
       "2020-02-01  0.696099   0.0    1.0  0.912739  10.0    1.0  0.939391   1.0   \n",
       "2020-02-02  0.695605   0.0    1.0  0.866263  10.0    1.0  0.938758   2.0   \n",
       "2020-02-03  0.707043   7.0    1.0  0.875319  10.0    1.0  0.944696   3.0   \n",
       "2020-02-04  0.715470   0.0    8.0  0.872729   5.0    1.0  0.942425   2.0   \n",
       "2020-02-05  0.741169   0.0   10.0  0.864186   5.0    1.0  0.945325   3.0   \n",
       "2020-02-06  0.747141   0.0   10.0  0.858789   5.0    1.0  0.940682   3.0   \n",
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       "2020-02-11  0.737170   4.0   10.0  0.835791   5.0   10.0  0.921341   3.0   \n",
       "2020-02-12  0.744789   4.0   10.0  0.824375   4.0   10.0  0.906559   3.0   \n",
       "2020-02-13  0.736930   4.0   10.0  0.823951   4.0   10.0  0.898792   3.0   \n",
       "2020-02-14  0.721041   4.0   10.0  0.821883   4.0   10.0  0.886747   2.0   \n",
       "2020-02-15  0.711554   4.0   10.0  0.816605   4.0   10.0  0.869957   3.0   \n",
       "2020-02-16  0.699642   4.0   10.0  0.817011   4.0   10.0  0.852286   3.0   \n",
       "2020-02-17  0.697404   4.0   10.0  0.815438   4.0    9.0  0.829551   3.0   \n",
       "2020-02-18  0.691201   4.0   10.0  0.814947   4.0    9.0  0.807594   2.0   \n",
       "2020-02-19  0.689477   4.0   10.0  0.815611   4.0    9.0  0.789018   2.0   \n",
       "2020-02-20  0.692283   3.0   10.0  0.817027   4.0    9.0  0.779897   1.0   \n",
       "2020-02-21  0.697093   3.0   10.0  0.818943   4.0    9.0  0.774447   1.0   \n",
       "2020-02-22  0.702571   3.0   10.0  0.821054   4.0    9.0  0.770876   1.0   \n",
       "2020-02-23  0.708166   3.0   10.0  0.823299   4.0    9.0  0.771898   1.0   \n",
       "2020-02-24  0.713790   3.0   10.0  0.825541   4.0    9.0  0.777837   0.0   \n",
       "\n",
       "                      Henan                Jiangxi              Heilongjiang  \\\n",
       "           window      corr shift window      corr shift window         corr   \n",
       "2020-01-17    NaN       NaN   NaN    NaN       NaN   NaN    NaN          NaN   \n",
       "2020-01-18    NaN       NaN   NaN    NaN       NaN   NaN    NaN          NaN   \n",
       "2020-01-19    NaN       NaN   NaN    NaN       NaN   NaN    NaN          NaN   \n",
       "2020-01-20    NaN       NaN   NaN    NaN       NaN   NaN    NaN          NaN   \n",
       "2020-01-21    NaN  1.000000   4.0    1.0  1.000000   4.0    7.0          NaN   \n",
       "2020-01-22    1.0  0.997817   3.0    4.0  0.818390   0.0    1.0          NaN   \n",
       "2020-01-23    1.0  0.994432   3.0    2.0  0.924100   3.0    1.0     1.000000   \n",
       "2020-01-24    2.0  0.991417   6.0    7.0  0.985930   4.0    6.0     0.952058   \n",
       "2020-01-25    1.0  0.998072   6.0    1.0  0.995238   4.0    1.0     0.964908   \n",
       "2020-01-26    1.0  0.983495   4.0    1.0  0.972005   4.0    1.0     0.960015   \n",
       "2020-01-27   10.0  0.963529   4.0    1.0  0.973337   4.0    1.0     0.970917   \n",
       "2020-01-28    1.0  0.956703   4.0    1.0  0.963264   4.0    8.0     0.965332   \n",
       "2020-01-29    3.0  0.930403   2.0   10.0  0.970429   5.0    9.0     0.961637   \n",
       "2020-01-30    2.0  0.946263   2.0   10.0  0.980273   6.0    8.0     0.903653   \n",
       "2020-01-31   10.0  0.954776   2.0   10.0  0.951364   6.0    4.0     0.913705   \n",
       "2020-02-01   10.0  0.960495   2.0   10.0  0.949298   5.0    5.0     0.922440   \n",
       "2020-02-02   10.0  0.964764   2.0   10.0  0.952497   6.0    4.0     0.937082   \n",
       "2020-02-03   10.0  0.944922   3.0   10.0  0.939818   4.0   10.0     0.940012   \n",
       "2020-02-04   10.0  0.949180   3.0   10.0  0.946641   4.0   10.0     0.956384   \n",
       "2020-02-05   10.0  0.952449   4.0   10.0  0.943961   4.0   10.0     0.966246   \n",
       "2020-02-06   10.0  0.949048   3.0   10.0  0.946996   4.0   10.0     0.970741   \n",
       "2020-02-07   10.0  0.948532   3.0   10.0  0.937392   4.0   10.0     0.919110   \n",
       "2020-02-08   10.0  0.936375   3.0   10.0  0.936184   4.0    9.0     0.870373   \n",
       "2020-02-09   10.0  0.909569   3.0   10.0  0.929921   4.0    9.0     0.872288   \n",
       "2020-02-10   10.0  0.870947   3.0   10.0  0.926472   4.0    9.0     0.876944   \n",
       "2020-02-11   10.0  0.832147   3.0   10.0  0.926659   4.0    9.0     0.874191   \n",
       "2020-02-12   10.0  0.801050   3.0   10.0  0.922612   4.0    9.0     0.872825   \n",
       "2020-02-13   10.0  0.740265   2.0   10.0  0.919964   4.0    9.0     0.872172   \n",
       "2020-02-14   10.0  0.706465   3.0   10.0  0.907437   4.0    8.0     0.864761   \n",
       "2020-02-15    9.0  0.656099   4.0    9.0  0.898217   4.0    8.0     0.861165   \n",
       "2020-02-16    9.0  0.604737   5.0    7.0  0.877612   4.0    8.0     0.861388   \n",
       "2020-02-17    9.0  0.552824   6.0    5.0  0.854113   5.0    6.0     0.861903   \n",
       "2020-02-18   10.0  0.507855   7.0    1.0  0.832529   7.0    3.0     0.862900   \n",
       "2020-02-19   10.0  0.463262   8.0    1.0  0.807667   8.0    2.0     0.864321   \n",
       "2020-02-20   10.0  0.420716   9.0    1.0  0.783233   9.0    1.0     0.865881   \n",
       "2020-02-21   10.0  0.362112  10.0    1.0  0.721863   9.0    2.0     0.867087   \n",
       "2020-02-22   10.0  0.258301  10.0    2.0  0.696145   3.0   10.0     0.869136   \n",
       "2020-02-23   10.0  0.272968   0.0    4.0  0.683626   3.0   10.0     0.871359   \n",
       "2020-02-24   10.0  0.298582   0.0    4.0  0.681396   2.0   10.0     0.873689   \n",
       "\n",
       "                            Hubei               \n",
       "           shift window      corr shift window  \n",
       "2020-01-17   NaN    NaN       NaN   NaN    NaN  \n",
       "2020-01-18   NaN    NaN       NaN   NaN    NaN  \n",
       "2020-01-19   NaN    NaN  0.731307   0.0    1.0  \n",
       "2020-01-20   NaN    NaN  0.418734   0.0    1.0  \n",
       "2020-01-21   NaN    NaN  0.743453   0.0    1.0  \n",
       "2020-01-22   NaN    NaN  0.638677   0.0    1.0  \n",
       "2020-01-23   6.0    7.0  0.735350   0.0    1.0  \n",
       "2020-01-24   2.0    5.0  0.857628   3.0    9.0  \n",
       "2020-01-25   3.0    1.0  0.959751   4.0    1.0  \n",
       "2020-01-26   0.0    5.0  0.977358   3.0    3.0  \n",
       "2020-01-27   0.0   10.0  0.971571   6.0    3.0  \n",
       "2020-01-28   0.0    5.0  0.943698   6.0    1.0  \n",
       "2020-01-29   3.0    1.0  0.950565   6.0    1.0  \n",
       "2020-01-30   0.0   10.0  0.959533   6.0    1.0  \n",
       "2020-01-31   2.0   10.0  0.954000   4.0    9.0  \n",
       "2020-02-01   7.0    1.0  0.950869   4.0   10.0  \n",
       "2020-02-02   3.0   10.0  0.952078   4.0   10.0  \n",
       "2020-02-03   6.0   10.0  0.956488   5.0   10.0  \n",
       "2020-02-04   6.0   10.0  0.946991   6.0   10.0  \n",
       "2020-02-05   6.0   10.0  0.953092   7.0   10.0  \n",
       "2020-02-06   7.0   10.0  0.956285   7.0   10.0  \n",
       "2020-02-07   6.0    8.0  0.958898   7.0   10.0  \n",
       "2020-02-08   4.0   10.0  0.960111   7.0   10.0  \n",
       "2020-02-09   4.0   10.0  0.957932   7.0   10.0  \n",
       "2020-02-10   4.0   10.0  0.957369   7.0   10.0  \n",
       "2020-02-11   4.0   10.0  0.957522   7.0   10.0  \n",
       "2020-02-12   4.0   10.0  0.491940  10.0   10.0  \n",
       "2020-02-13   4.0   10.0  0.500290  10.0   10.0  \n",
       "2020-02-14   4.0   10.0  0.501284  10.0   10.0  \n",
       "2020-02-15   4.0   10.0  0.499296  10.0   10.0  \n",
       "2020-02-16   4.0   10.0  0.498108  10.0   10.0  \n",
       "2020-02-17   4.0   10.0  0.496643  10.0   10.0  \n",
       "2020-02-18   4.0   10.0  0.495109  10.0   10.0  \n",
       "2020-02-19   4.0   10.0  0.487744  10.0   10.0  \n",
       "2020-02-20   4.0   10.0  0.483551  10.0   10.0  \n",
       "2020-02-21   4.0   10.0  0.481227  10.0   10.0  \n",
       "2020-02-22   4.0   10.0  0.479956  10.0   10.0  \n",
       "2020-02-23   4.0   10.0  0.479105  10.0   10.0  \n",
       "2020-02-24   4.0   10.0  0.479936  10.0   10.0  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df_mean.columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[df_mean.columns].to_excel('人流和新增相关性分析 {}.xlsx'.format(last_date))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>北京</th>\n",
       "      <th>天津</th>\n",
       "      <th>河北</th>\n",
       "      <th>山西</th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "    <tr>\n",
       "      <th>2020-01-17</th>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-18</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>59</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2020-01-19</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>77</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2020-01-20</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>72</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2020-01-21</th>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>105</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>69</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-23</th>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>33</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>105</td>\n",
       "      <td>24</td>\n",
       "      <td>21</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>18</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-24</th>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>9</td>\n",
       "      <td>19</td>\n",
       "      <td>24</td>\n",
       "      <td>15</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>23</td>\n",
       "      <td>180</td>\n",
       "      <td>19</td>\n",
       "      <td>25</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>30</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-25</th>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>13</td>\n",
       "      <td>42</td>\n",
       "      <td>21</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>51</td>\n",
       "      <td>323</td>\n",
       "      <td>26</td>\n",
       "      <td>33</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-26</th>\n",
       "      <td>17</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>16</td>\n",
       "      <td>24</td>\n",
       "      <td>10</td>\n",
       "      <td>27</td>\n",
       "      <td>12</td>\n",
       "      <td>24</td>\n",
       "      <td>45</td>\n",
       "      <td>371</td>\n",
       "      <td>31</td>\n",
       "      <td>35</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>35</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-27</th>\n",
       "      <td>12</td>\n",
       "      <td>9</td>\n",
       "      <td>15</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>13</td>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>36</td>\n",
       "      <td>3</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>40</td>\n",
       "      <td>1291</td>\n",
       "      <td>43</td>\n",
       "      <td>42</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>21</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-28</th>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>29</td>\n",
       "      <td>123</td>\n",
       "      <td>46</td>\n",
       "      <td>23</td>\n",
       "      <td>37</td>\n",
       "      <td>34</td>\n",
       "      <td>38</td>\n",
       "      <td>840</td>\n",
       "      <td>78</td>\n",
       "      <td>53</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-29</th>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>17</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>21</td>\n",
       "      <td>30</td>\n",
       "      <td>132</td>\n",
       "      <td>48</td>\n",
       "      <td>19</td>\n",
       "      <td>53</td>\n",
       "      <td>24</td>\n",
       "      <td>72</td>\n",
       "      <td>1032</td>\n",
       "      <td>56</td>\n",
       "      <td>70</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>18</td>\n",
       "      <td>34</td>\n",
       "      <td>3</td>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-30</th>\n",
       "      <td>18</td>\n",
       "      <td>4</td>\n",
       "      <td>17</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>27</td>\n",
       "      <td>39</td>\n",
       "      <td>109</td>\n",
       "      <td>37</td>\n",
       "      <td>19</td>\n",
       "      <td>78</td>\n",
       "      <td>33</td>\n",
       "      <td>74</td>\n",
       "      <td>1220</td>\n",
       "      <td>55</td>\n",
       "      <td>82</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>41</td>\n",
       "      <td>35</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-31</th>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>21</td>\n",
       "      <td>25</td>\n",
       "      <td>34</td>\n",
       "      <td>62</td>\n",
       "      <td>60</td>\n",
       "      <td>24</td>\n",
       "      <td>46</td>\n",
       "      <td>24</td>\n",
       "      <td>70</td>\n",
       "      <td>1347</td>\n",
       "      <td>57</td>\n",
       "      <td>127</td>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "      <td>32</td>\n",
       "      <td>30</td>\n",
       "      <td>14</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-01</th>\n",
       "      <td>27</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>15</td>\n",
       "      <td>24</td>\n",
       "      <td>34</td>\n",
       "      <td>62</td>\n",
       "      <td>43</td>\n",
       "      <td>15</td>\n",
       "      <td>47</td>\n",
       "      <td>23</td>\n",
       "      <td>71</td>\n",
       "      <td>1921</td>\n",
       "      <td>74</td>\n",
       "      <td>84</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-02</th>\n",
       "      <td>29</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>23</td>\n",
       "      <td>16</td>\n",
       "      <td>35</td>\n",
       "      <td>63</td>\n",
       "      <td>68</td>\n",
       "      <td>20</td>\n",
       "      <td>58</td>\n",
       "      <td>21</td>\n",
       "      <td>73</td>\n",
       "      <td>2103</td>\n",
       "      <td>58</td>\n",
       "      <td>79</td>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "      <td>38</td>\n",
       "      <td>23</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-03</th>\n",
       "      <td>16</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>37</td>\n",
       "      <td>15</td>\n",
       "      <td>37</td>\n",
       "      <td>105</td>\n",
       "      <td>72</td>\n",
       "      <td>15</td>\n",
       "      <td>85</td>\n",
       "      <td>24</td>\n",
       "      <td>109</td>\n",
       "      <td>2345</td>\n",
       "      <td>72</td>\n",
       "      <td>114</td>\n",
       "      <td>12</td>\n",
       "      <td>9</td>\n",
       "      <td>37</td>\n",
       "      <td>28</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-04</th>\n",
       "      <td>25</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>35</td>\n",
       "      <td>25</td>\n",
       "      <td>33</td>\n",
       "      <td>66</td>\n",
       "      <td>50</td>\n",
       "      <td>11</td>\n",
       "      <td>72</td>\n",
       "      <td>28</td>\n",
       "      <td>89</td>\n",
       "      <td>3156</td>\n",
       "      <td>68</td>\n",
       "      <td>73</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>29</td>\n",
       "      <td>19</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-05</th>\n",
       "      <td>21</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>37</td>\n",
       "      <td>21</td>\n",
       "      <td>32</td>\n",
       "      <td>59</td>\n",
       "      <td>61</td>\n",
       "      <td>10</td>\n",
       "      <td>52</td>\n",
       "      <td>45</td>\n",
       "      <td>87</td>\n",
       "      <td>2987</td>\n",
       "      <td>50</td>\n",
       "      <td>74</td>\n",
       "      <td>18</td>\n",
       "      <td>11</td>\n",
       "      <td>23</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-06</th>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>50</td>\n",
       "      <td>15</td>\n",
       "      <td>35</td>\n",
       "      <td>52</td>\n",
       "      <td>74</td>\n",
       "      <td>9</td>\n",
       "      <td>61</td>\n",
       "      <td>36</td>\n",
       "      <td>63</td>\n",
       "      <td>2447</td>\n",
       "      <td>61</td>\n",
       "      <td>74</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>23</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-07</th>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "      <td>24</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>42</td>\n",
       "      <td>68</td>\n",
       "      <td>15</td>\n",
       "      <td>37</td>\n",
       "      <td>28</td>\n",
       "      <td>67</td>\n",
       "      <td>2841</td>\n",
       "      <td>31</td>\n",
       "      <td>57</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>15</td>\n",
       "      <td>19</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-08</th>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>29</td>\n",
       "      <td>27</td>\n",
       "      <td>46</td>\n",
       "      <td>11</td>\n",
       "      <td>42</td>\n",
       "      <td>28</td>\n",
       "      <td>52</td>\n",
       "      <td>2147</td>\n",
       "      <td>35</td>\n",
       "      <td>45</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "      <td>20</td>\n",
       "      <td>23</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-09</th>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>24</td>\n",
       "      <td>3</td>\n",
       "      <td>24</td>\n",
       "      <td>17</td>\n",
       "      <td>51</td>\n",
       "      <td>11</td>\n",
       "      <td>31</td>\n",
       "      <td>24</td>\n",
       "      <td>40</td>\n",
       "      <td>2531</td>\n",
       "      <td>41</td>\n",
       "      <td>31</td>\n",
       "      <td>15</td>\n",
       "      <td>8</td>\n",
       "      <td>22</td>\n",
       "      <td>19</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-10</th>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>7</td>\n",
       "      <td>23</td>\n",
       "      <td>25</td>\n",
       "      <td>30</td>\n",
       "      <td>6</td>\n",
       "      <td>33</td>\n",
       "      <td>27</td>\n",
       "      <td>32</td>\n",
       "      <td>2097</td>\n",
       "      <td>33</td>\n",
       "      <td>26</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-11</th>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>4</td>\n",
       "      <td>28</td>\n",
       "      <td>14</td>\n",
       "      <td>29</td>\n",
       "      <td>5</td>\n",
       "      <td>40</td>\n",
       "      <td>11</td>\n",
       "      <td>30</td>\n",
       "      <td>1638</td>\n",
       "      <td>34</td>\n",
       "      <td>42</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>13</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-12</th>\n",
       "      <td>14</td>\n",
       "      <td>6</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "      <td>27</td>\n",
       "      <td>14</td>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "      <td>28</td>\n",
       "      <td>9</td>\n",
       "      <td>34</td>\n",
       "      <td>14840</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-13</th>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>5</td>\n",
       "      <td>23</td>\n",
       "      <td>10</td>\n",
       "      <td>24</td>\n",
       "      <td>2</td>\n",
       "      <td>28</td>\n",
       "      <td>13</td>\n",
       "      <td>15</td>\n",
       "      <td>3780</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-14</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>28</td>\n",
       "      <td>2420</td>\n",
       "      <td>13</td>\n",
       "      <td>33</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-15</th>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>19</td>\n",
       "      <td>1843</td>\n",
       "      <td>3</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-16</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>1933</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-17</th>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>1807</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-18</th>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1693</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-19</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>349</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-20</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>202</td>\n",
       "      <td>2</td>\n",
       "      <td>631</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-21</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>792</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-22</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>630</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-23</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>203</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-24</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>499</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-25</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>401</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-26</th>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>409</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            北京  天津  河北  山西  内蒙古  辽宁  吉林  黑龙江  上海  江苏   浙江  安徽  福建  江西   山东  \\\n",
       "日期                                                                           \n",
       "2020-01-17   0   0   0   0    0   0   0    0   0   0    0   0   0   0    0   \n",
       "2020-01-18   0   0   0   0    0   0   0    0   0   0    0   0   0   0    0   \n",
       "2020-01-19   0   0   0   0    0   0   0    0   0   0    0   0   0   0    0   \n",
       "2020-01-20   5   0   0   0    0   0   0    0   1   0    0   0   0   0    0   \n",
       "2020-01-21   5   2   0   0    0   0   0    0   8   0    5   0   0   2    0   \n",
       "2020-01-22   4   2   1   1    0   2   0    0   7   1    5   9   1   1    0   \n",
       "2020-01-23  12   1   1   0    1   1   3    4   4   8   33   6   2   4    9   \n",
       "2020-01-24  10   3   6   5    1   9   1    5  13   9   19  24  15  11   12   \n",
       "2020-01-25  15   2   5   3    3   7   0    6   7  13   42  21  11  18   18   \n",
       "2020-01-26  17   4   5   4    6   3   2    6  13  16   24  10  27  12   24   \n",
       "2020-01-27  12   9  15   7    2   5   2    9  13  23   45  36   3  24   24   \n",
       "2020-01-28  22   1  15   7    3   9   1    7  14  29  123  46  23  37   34   \n",
       "2020-01-29  12   3  17   8    2   3   5    6  21  30  132  48  19  53   24   \n",
       "2020-01-30  18   4  17   4    2   6   0   16  27  39  109  37  19  78   33   \n",
       "2020-01-31  24   1  14   8    3  15   3   21  25  34   62  60  24  46   24   \n",
       "2020-02-01  27   9   8   9    4   4   6   15  24  34   62  43  15  47   23   \n",
       "2020-02-02  29   7   9  10    7   6   8   23  16  35   63  68  20  58   21   \n",
       "2020-02-03  16  12  13   8    1   7  11   37  15  37  105  72  15  85   24   \n",
       "2020-02-04  25   7   9   7    7   4  12   35  25  33   66  50  11  72   28   \n",
       "2020-02-05  21  11  22   9    4   8   5   37  21  32   59  61  10  52   45   \n",
       "2020-02-06  23   1  14   6    4   5   6   50  15  35   52  74   9  61   36   \n",
       "2020-02-07  18   2  24   8    2   5   4   18  12  31   42  68  15  37   28   \n",
       "2020-02-08  11   7  11  11    2   7   9   12  11  29   27  46  11  42   28   \n",
       "2020-02-09  11   3  12   4    4   2   2   24   3  24   17  51  11  31   24   \n",
       "2020-02-10   5   4  21   3    0   0   1   29   7  23   25  30   6  33   27   \n",
       "2020-02-11  10  11  12   2    2   3   2   18   4  28   14  29   5  40   11   \n",
       "2020-02-12  14   6  14   2    1   5   1   17   7  27   14  21   7  28    9   \n",
       "2020-02-13   6   7  18   0    4   1   2   23   5  23   10  24   2  28   13   \n",
       "2020-02-14   3   1   8   1    3   2   2    7   8  11    7  16   4  13   11   \n",
       "2020-02-15   5   2   9   1    2   1   1   20   2  13    5  12   2  12    7   \n",
       "2020-02-16   1   2   1   1    2   1   0   12   3   9    4  11   3   5    4   \n",
       "2020-02-17   6   1   1   1    1   0   0    7   2   3    1   9   2   3    2   \n",
       "2020-02-18   6   3   4   1    2   0   1    6   0   2    1   4   1   1    1   \n",
       "2020-02-19   2   2   1   0    0   0   1    6   0   0    2   1   0   0    2   \n",
       "2020-02-20   1   1   1   1    0   0   0    3   1   0   28   1   0   0  202   \n",
       "2020-02-21   3   2   1   0    0   0   0    0   0   0    2   1   0   0    2   \n",
       "2020-02-22   0   2   2   0    0   0   0    1   1   0    0   0   0   0    4   \n",
       "2020-02-23   0   0   0   0    0   0   2    0   0   0    0   0   0   0    1   \n",
       "2020-02-24   1   0   0   1    0   0   0    0   0   0    0   0   1   0    0   \n",
       "2020-02-25   0   0   1   0    0   0   0    0   1   0    0   0   0   0    1   \n",
       "2020-02-26  10   0   5   0    0   0   0    0   1   0    0   0   2   0    0   \n",
       "\n",
       "             河南     湖北  湖南   广东  广西  海南  重庆  四川  贵州  云南  西藏  陕西  甘肃  青海  宁夏  \\\n",
       "日期                                                                            \n",
       "2020-01-17    0     17   0    0   0   0   0   0   0   0   0   0   0   0   0   \n",
       "2020-01-18    0     59   0    0   0   0   0   0   0   0   0   0   0   0   0   \n",
       "2020-01-19    0     77   0    1   0   0   0   0   0   0   0   0   0   0   0   \n",
       "2020-01-20    0     72   0   16   0   0   0   0   0   0   0   0   0   0   0   \n",
       "2020-01-21    1    105   0    9   0   0   5   0   0   0   0   0   0   0   0   \n",
       "2020-01-22    3     69   0    6   2   4   4   7   0   0   0   0   0   0   0   \n",
       "2020-01-23    5    105  24   21  11   4  18   8   3   0   0   3   2   0   2   \n",
       "2020-01-24   23    180  19   25  10   9  30  13   1   5   0   2   2   0   1   \n",
       "2020-01-25   51    323  26   33  10   2  18  16   1   6   0  17   3   1   1   \n",
       "2020-01-26   45    371  31   35  13   3  35  25   2   8   0  13   7   3   3   \n",
       "2020-01-27   40   1291  43   42   5  11  22  21   2   7   0  11   5   2   4   \n",
       "2020-01-28   38    840  78   53   7  10  15  18   0  25   0  10   5   0   1   \n",
       "2020-01-29   72   1032  56   70  20   3  18  34   3  19   1   7   2   0   5   \n",
       "2020-01-30   74   1220  55   82   9   3  41  35   3   6   0  24   3   2   4   \n",
       "2020-01-31   70   1347  57  127  13   8  32  30  14  15   0  14   6   1   5   \n",
       "2020-02-01   71   1921  74   84  11   6  24  24   9   8   0  15   5   0   2   \n",
       "2020-02-02   73   2103  58   79  16   7  38  23   8  10   0  12  11   4   3   \n",
       "2020-02-03  109   2345  72  114  12   9  37  28  10   8   0  14   4   2   3   \n",
       "2020-02-04   89   3156  68   73  11  10  29  19   8   5   0  23   2   2   0   \n",
       "2020-02-05   87   2987  50   74  18  11  23  20   5   6   0   8   5   1   6   \n",
       "2020-02-06   63   2447  61   74   4  11  22  23   8   7   0  11   5   0   3   \n",
       "2020-02-07   67   2841  31   57  11  11  15  19  12   3   0  11   4   0   2   \n",
       "2020-02-08   52   2147  35   45  12   6  20  23   7   2   0  13   8   0   0   \n",
       "2020-02-09   40   2531  41   31  15   8  22  19  13   1   0   5   4   0   4   \n",
       "2020-02-10   32   2097  33   26   5   6  18  12   9   8   0   6   3   0   4   \n",
       "2020-02-11   30   1638  34   42   7   3  19  19  13   5   0   6   0   0   5   \n",
       "2020-02-12   34  14840  22   22   0  12  13  15   4   1   0   0   1   0   6   \n",
       "2020-02-13   15   3780  20   20   4   0  11  12   5   7   0   4   3   0   3   \n",
       "2020-02-14   28   2420  13   33   9   5   8   7   3   6   0   1   0   0   3   \n",
       "2020-02-15   19   1843   3   22   2   0   7  11   1   1   0   2   0   0   0   \n",
       "2020-02-16   15   1933   2    6   1   0   7  14   2   2   0   4   0   0   0   \n",
       "2020-02-17   11   1807   1    6   4   1   2  13   0   1   0   4   1   0   0   \n",
       "2020-02-18    5   1693   1    3   2   0   2   6   0   1   0   0   0   0   1   \n",
       "2020-02-19    3    349   2    1   1   5   5   6   0  -1   0   2   0   0   0   \n",
       "2020-02-20    2    631   1    1   1   0   7   5   0   2   0   3   0   0   0   \n",
       "2020-02-21    3    792   2    6   3   0   5   1   0   0   0   0   0   0   0   \n",
       "2020-02-22    1    630   3    3   0   0   1   0   0   0   0   0   0   0   0   \n",
       "2020-02-23    0    203   0    3   2   0   2   1   0   0   0   0   0   0   0   \n",
       "2020-02-24    0    499   0    2   1   0   1   2   0   0   0   0   0   0   0   \n",
       "2020-02-25    0    401   0    0   0   0   0   2   0   0   0   0   0   0   0   \n",
       "2020-02-26    1    409   1    0   0   0   0   3   0   0   0   0   0   0   1   \n",
       "\n",
       "            新疆  \n",
       "日期              \n",
       "2020-01-17   0  \n",
       "2020-01-18   0  \n",
       "2020-01-19   0  \n",
       "2020-01-20   0  \n",
       "2020-01-21   0  \n",
       "2020-01-22   0  \n",
       "2020-01-23   2  \n",
       "2020-01-24   1  \n",
       "2020-01-25   1  \n",
       "2020-01-26   1  \n",
       "2020-01-27   5  \n",
       "2020-01-28   3  \n",
       "2020-01-29   1  \n",
       "2020-01-30   3  \n",
       "2020-01-31   1  \n",
       "2020-02-01   3  \n",
       "2020-02-02   3  \n",
       "2020-02-03   5  \n",
       "2020-02-04   3  \n",
       "2020-02-05   4  \n",
       "2020-02-06   3  \n",
       "2020-02-07   3  \n",
       "2020-02-08   3  \n",
       "2020-02-09   4  \n",
       "2020-02-10   6  \n",
       "2020-02-11   4  \n",
       "2020-02-12   4  \n",
       "2020-02-13   2  \n",
       "2020-02-14   5  \n",
       "2020-02-15   1  \n",
       "2020-02-16   4  \n",
       "2020-02-17   1  \n",
       "2020-02-18   0  \n",
       "2020-02-19   0  \n",
       "2020-02-20   0  \n",
       "2020-02-21   0  \n",
       "2020-02-22   0  \n",
       "2020-02-23   0  \n",
       "2020-02-24   0  \n",
       "2020-02-25   0  \n",
       "2020-02-26   0  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "last_date = '2020-02-28'\n",
    "sample_cnt = 14\n",
    "analyzer = CoronavirusAnalyzer(last_date, first_date='2020-01-17', sample_cnt=sample_cnt)\n",
    "analyzer.df_virus_daily_inc_injured"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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