COVID19_Cases_Prediction.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "_kg_hide-input": true,
    "_kg_hide-output": true,
    "colab": {},
    "colab_type": "code",
    "id": "BRQ9saONdhCQ"
   },
   "outputs": [],
   "source": [
    "# importing the required libraries\n",
    "import pandas as pd\n",
    "\n",
    "# Visualisation libraries\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "import plotly.offline as pyo\n",
    "from plotly.offline import init_notebook_mode,iplot\n",
    "import cufflinks as cf\n",
    "\n",
    "# Manipulating the default plot size\n",
    "#plt.rcParams['figure.figsize'] = 10, 12\n",
    "plt.rcParams['figure.figsize']=25,18\n",
    "# Disable warnings \n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
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       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
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     "output_type": "display_data"
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       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
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       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pyo.init_notebook_mode(connected=True)\n",
    "cf.go_offline()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "QLaxaOyJJvU7"
   },
   "source": [
    "## Reading the Datasets\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "FxUI1AFfL9lR"
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv(r'PATH_TO_covid_19_data.csv')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SNo</th>\n",
       "      <th>ObservationDate</th>\n",
       "      <th>Province/State</th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Last Update</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>01/22/2020</td>\n",
       "      <td>Anhui</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>1/22/2020 17:00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>01/22/2020</td>\n",
       "      <td>Beijing</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>1/22/2020 17:00</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>01/22/2020</td>\n",
       "      <td>Chongqing</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>1/22/2020 17:00</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>01/22/2020</td>\n",
       "      <td>Fujian</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>1/22/2020 17:00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>01/22/2020</td>\n",
       "      <td>Gansu</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>1/22/2020 17:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   SNo ObservationDate Province/State  Country/Region      Last Update  \\\n",
       "0    1      01/22/2020          Anhui  Mainland China  1/22/2020 17:00   \n",
       "1    2      01/22/2020        Beijing  Mainland China  1/22/2020 17:00   \n",
       "2    3      01/22/2020      Chongqing  Mainland China  1/22/2020 17:00   \n",
       "3    4      01/22/2020         Fujian  Mainland China  1/22/2020 17:00   \n",
       "4    5      01/22/2020          Gansu  Mainland China  1/22/2020 17:00   \n",
       "\n",
       "   Confirmed  Deaths  Recovered  \n",
       "0        1.0     0.0        0.0  \n",
       "1       14.0     0.0        0.0  \n",
       "2        6.0     0.0        0.0  \n",
       "3        1.0     0.0        0.0  \n",
       "4        0.0     0.0        0.0  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.rename(columns={'Country/Region':'Country'}, inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.rename(columns={'Province/State':'State'}, inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SNo</th>\n",
       "      <th>ObservationDate</th>\n",
       "      <th>State</th>\n",
       "      <th>Country</th>\n",
       "      <th>Last Update</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>172475</th>\n",
       "      <td>172476</td>\n",
       "      <td>12/06/2020</td>\n",
       "      <td>Zaporizhia Oblast</td>\n",
       "      <td>Ukraine</td>\n",
       "      <td>2020-12-07 05:26:14</td>\n",
       "      <td>36539.0</td>\n",
       "      <td>337.0</td>\n",
       "      <td>6556.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172476</th>\n",
       "      <td>172477</td>\n",
       "      <td>12/06/2020</td>\n",
       "      <td>Zeeland</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>2020-12-07 05:26:14</td>\n",
       "      <td>6710.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172477</th>\n",
       "      <td>172478</td>\n",
       "      <td>12/06/2020</td>\n",
       "      <td>Zhejiang</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>2020-12-07 05:26:14</td>\n",
       "      <td>1295.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1288.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172478</th>\n",
       "      <td>172479</td>\n",
       "      <td>12/06/2020</td>\n",
       "      <td>Zhytomyr Oblast</td>\n",
       "      <td>Ukraine</td>\n",
       "      <td>2020-12-07 05:26:14</td>\n",
       "      <td>31967.0</td>\n",
       "      <td>531.0</td>\n",
       "      <td>22263.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172479</th>\n",
       "      <td>172480</td>\n",
       "      <td>12/06/2020</td>\n",
       "      <td>Zuid-Holland</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>2020-12-07 05:26:14</td>\n",
       "      <td>154813.0</td>\n",
       "      <td>2414.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "           SNo ObservationDate              State         Country  \\\n",
       "172475  172476      12/06/2020  Zaporizhia Oblast         Ukraine   \n",
       "172476  172477      12/06/2020            Zeeland     Netherlands   \n",
       "172477  172478      12/06/2020           Zhejiang  Mainland China   \n",
       "172478  172479      12/06/2020    Zhytomyr Oblast         Ukraine   \n",
       "172479  172480      12/06/2020       Zuid-Holland     Netherlands   \n",
       "\n",
       "                Last Update  Confirmed  Deaths  Recovered  \n",
       "172475  2020-12-07 05:26:14    36539.0   337.0     6556.0  \n",
       "172476  2020-12-07 05:26:14     6710.0   104.0        0.0  \n",
       "172477  2020-12-07 05:26:14     1295.0     1.0     1288.0  \n",
       "172478  2020-12-07 05:26:14    31967.0   531.0    22263.0  \n",
       "172479  2020-12-07 05:26:14   154813.0  2414.0        0.0  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 172480 entries, 0 to 172479\n",
      "Data columns (total 8 columns):\n",
      " #   Column           Non-Null Count   Dtype  \n",
      "---  ------           --------------   -----  \n",
      " 0   SNo              172480 non-null  int64  \n",
      " 1   ObservationDate  172480 non-null  object \n",
      " 2   State            124597 non-null  object \n",
      " 3   Country          172480 non-null  object \n",
      " 4   Last Update      172480 non-null  object \n",
      " 5   Confirmed        172480 non-null  float64\n",
      " 6   Deaths           172480 non-null  float64\n",
      " 7   Recovered        172480 non-null  float64\n",
      "dtypes: float64(3), int64(1), object(4)\n",
      "memory usage: 10.5+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SNo                    0\n",
       "ObservationDate        0\n",
       "State              47883\n",
       "Country                0\n",
       "Last Update            0\n",
       "Confirmed              0\n",
       "Deaths                 0\n",
       "Recovered              0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SNo</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>172480.000000</td>\n",
       "      <td>1.724800e+05</td>\n",
       "      <td>172480.000000</td>\n",
       "      <td>1.724800e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>86240.500000</td>\n",
       "      <td>3.323156e+04</td>\n",
       "      <td>1050.030966</td>\n",
       "      <td>2.102825e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>49790.831552</td>\n",
       "      <td>1.031349e+05</td>\n",
       "      <td>3499.436401</td>\n",
       "      <td>1.156598e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-3.028440e+05</td>\n",
       "      <td>-178.000000</td>\n",
       "      <td>-8.544050e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>43120.750000</td>\n",
       "      <td>4.570000e+02</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.000000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>86240.500000</td>\n",
       "      <td>4.016500e+03</td>\n",
       "      <td>76.000000</td>\n",
       "      <td>8.580000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>129360.250000</td>\n",
       "      <td>1.884300e+04</td>\n",
       "      <td>554.000000</td>\n",
       "      <td>7.229000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>172480.000000</td>\n",
       "      <td>2.290891e+06</td>\n",
       "      <td>54804.000000</td>\n",
       "      <td>5.624444e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 SNo     Confirmed         Deaths     Recovered\n",
       "count  172480.000000  1.724800e+05  172480.000000  1.724800e+05\n",
       "mean    86240.500000  3.323156e+04    1050.030966  2.102825e+04\n",
       "std     49790.831552  1.031349e+05    3499.436401  1.156598e+05\n",
       "min         1.000000 -3.028440e+05    -178.000000 -8.544050e+05\n",
       "25%     43120.750000  4.570000e+02       6.000000  1.000000e+01\n",
       "50%     86240.500000  4.016500e+03      76.000000  8.580000e+02\n",
       "75%    129360.250000  1.884300e+04     554.000000  7.229000e+03\n",
       "max    172480.000000  2.290891e+06   54804.000000  5.624444e+06"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df.style.background_gradient(cmap='Reds')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ObservationDate</th>\n",
       "      <th>Confirmed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01/22/2020</td>\n",
       "      <td>555.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>01/23/2020</td>\n",
       "      <td>653.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>01/24/2020</td>\n",
       "      <td>941.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>01/25/2020</td>\n",
       "      <td>1438.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>01/26/2020</td>\n",
       "      <td>2118.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>12/02/2020</td>\n",
       "      <td>64530517.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>12/03/2020</td>\n",
       "      <td>65221040.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>12/04/2020</td>\n",
       "      <td>65899441.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>12/05/2020</td>\n",
       "      <td>66540034.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>12/06/2020</td>\n",
       "      <td>67073728.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>320 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    ObservationDate   Confirmed\n",
       "0        01/22/2020       555.0\n",
       "1        01/23/2020       653.0\n",
       "2        01/24/2020       941.0\n",
       "3        01/25/2020      1438.0\n",
       "4        01/26/2020      2118.0\n",
       "..              ...         ...\n",
       "315      12/02/2020  64530517.0\n",
       "316      12/03/2020  65221040.0\n",
       "317      12/04/2020  65899441.0\n",
       "318      12/05/2020  66540034.0\n",
       "319      12/06/2020  67073728.0\n",
       "\n",
       "[320 rows x 2 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confirmed = df.groupby('ObservationDate').sum()['Confirmed'].reset_index()\n",
    "confirmed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1296 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Pandas vis\n",
    "confirmed.plot(kind='bar',x='ObservationDate',y='Confirmed')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": true
       },
       "data": [
        {
         "marker": {
          "color": "rgba(255, 153, 51, 0.6)",
          "line": {
           "color": "rgba(255, 153, 51, 1.0)",
           "width": 1
          }
         },
         "name": "Confirmed",
         "orientation": "v",
         "text": "",
         "type": "bar",
         "x": [
          "01/22/2020",
          "01/23/2020",
          "01/24/2020",
          "01/25/2020",
          "01/26/2020",
          "01/27/2020",
          "01/28/2020",
          "01/29/2020",
          "01/30/2020",
          "01/31/2020",
          "02/01/2020",
          "02/02/2020",
          "02/03/2020",
          "02/04/2020",
          "02/05/2020",
          "02/06/2020",
          "02/07/2020",
          "02/08/2020",
          "02/09/2020",
          "02/10/2020",
          "02/11/2020",
          "02/12/2020",
          "02/13/2020",
          "02/14/2020",
          "02/15/2020",
          "02/16/2020",
          "02/17/2020",
          "02/18/2020",
          "02/19/2020",
          "02/20/2020",
          "02/21/2020",
          "02/22/2020",
          "02/23/2020",
          "02/24/2020",
          "02/25/2020",
          "02/26/2020",
          "02/27/2020",
          "02/28/2020",
          "02/29/2020",
          "03/01/2020",
          "03/02/2020",
          "03/03/2020",
          "03/04/2020",
          "03/05/2020",
          "03/06/2020",
          "03/07/2020",
          "03/08/2020",
          "03/09/2020",
          "03/10/2020",
          "03/11/2020",
          "03/12/2020",
          "03/13/2020",
          "03/14/2020",
          "03/15/2020",
          "03/16/2020",
          "03/17/2020",
          "03/18/2020",
          "03/19/2020",
          "03/20/2020",
          "03/21/2020",
          "03/22/2020",
          "03/23/2020",
          "03/24/2020",
          "03/25/2020",
          "03/26/2020",
          "03/27/2020",
          "03/28/2020",
          "03/29/2020",
          "03/30/2020",
          "03/31/2020",
          "04/01/2020",
          "04/02/2020",
          "04/03/2020",
          "04/04/2020",
          "04/05/2020",
          "04/06/2020",
          "04/07/2020",
          "04/08/2020",
          "04/09/2020",
          "04/10/2020",
          "04/11/2020",
          "04/12/2020",
          "04/13/2020",
          "04/14/2020",
          "04/15/2020",
          "04/16/2020",
          "04/17/2020",
          "04/18/2020",
          "04/19/2020",
          "04/20/2020",
          "04/21/2020",
          "04/22/2020",
          "04/23/2020",
          "04/24/2020",
          "04/25/2020",
          "04/26/2020",
          "04/27/2020",
          "04/28/2020",
          "04/29/2020",
          "04/30/2020",
          "05/01/2020",
          "05/02/2020",
          "05/03/2020",
          "05/04/2020",
          "05/05/2020",
          "05/06/2020",
          "05/07/2020",
          "05/08/2020",
          "05/09/2020",
          "05/10/2020",
          "05/11/2020",
          "05/12/2020",
          "05/13/2020",
          "05/14/2020",
          "05/15/2020",
          "05/16/2020",
          "05/17/2020",
          "05/18/2020",
          "05/19/2020",
          "05/20/2020",
          "05/21/2020",
          "05/22/2020",
          "05/23/2020",
          "05/24/2020",
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    "#Plotly\n",
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       "    ObservationDate     Deaths\n",
       "0        01/22/2020       17.0\n",
       "1        01/23/2020       18.0\n",
       "2        01/24/2020       26.0\n",
       "3        01/25/2020       42.0\n",
       "4        01/26/2020       56.0\n",
       "..              ...        ...\n",
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       "316      12/03/2020  1506260.0\n",
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       "318      12/05/2020  1528868.0\n",
       "319      12/06/2020  1536056.0\n",
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       "[320 rows x 2 columns]"
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    "deaths = df.groupby('ObservationDate').sum()['Deaths'].reset_index()\n",
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       "    ObservationDate   Recovered\n",
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       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plotly\n",
    "recovered.iplot(kind='bar',x='ObservationDate',y='Recovered',xTitle='ObservationDate',yTitle=\"Recovered\")"
   ]
  },
  {
   "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": "markdown",
   "metadata": {},
   "source": [
    "# Making the Prediction using FB Prophet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "7Uhg_dqpUqi7"
   },
   "outputs": [],
   "source": [
    "from fbprophet import Prophet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "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",
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       "    }\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></th>\n",
       "      <th>SNo</th>\n",
       "      <th>ObservationDate</th>\n",
       "      <th>State</th>\n",
       "      <th>Country</th>\n",
       "      <th>Last Update</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>01/22/2020</td>\n",
       "      <td>Anhui</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>1/22/2020 17:00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>01/22/2020</td>\n",
       "      <td>Beijing</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>1/22/2020 17:00</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>01/22/2020</td>\n",
       "      <td>Chongqing</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>1/22/2020 17:00</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>01/22/2020</td>\n",
       "      <td>Fujian</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>1/22/2020 17:00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>01/22/2020</td>\n",
       "      <td>Gansu</td>\n",
       "      <td>Mainland China</td>\n",
       "      <td>1/22/2020 17:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   SNo ObservationDate      State         Country      Last Update  Confirmed  \\\n",
       "0    1      01/22/2020      Anhui  Mainland China  1/22/2020 17:00        1.0   \n",
       "1    2      01/22/2020    Beijing  Mainland China  1/22/2020 17:00       14.0   \n",
       "2    3      01/22/2020  Chongqing  Mainland China  1/22/2020 17:00        6.0   \n",
       "3    4      01/22/2020     Fujian  Mainland China  1/22/2020 17:00        1.0   \n",
       "4    5      01/22/2020      Gansu  Mainland China  1/22/2020 17:00        0.0   \n",
       "\n",
       "   Deaths  Recovered  \n",
       "0     0.0        0.0  \n",
       "1     0.0        0.0  \n",
       "2     0.0        0.0  \n",
       "3     0.0        0.0  \n",
       "4     0.0        0.0  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "JF1sy1gmP8Ur"
   },
   "outputs": [],
   "source": [
    "confirmed = df.groupby('ObservationDate').sum()['Confirmed'].reset_index()\n",
    "deaths = df.groupby('ObservationDate').sum()['Deaths'].reset_index()\n",
    "recovered = df.groupby('ObservationDate').sum()['Recovered'].reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "      <th>ObservationDate</th>\n",
       "      <th>Confirmed</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>11/27/2020</td>\n",
       "      <td>61687701.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>11/28/2020</td>\n",
       "      <td>62286402.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>11/29/2020</td>\n",
       "      <td>62773116.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>11/30/2020</td>\n",
       "      <td>63279026.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>12/01/2020</td>\n",
       "      <td>63883985.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>12/02/2020</td>\n",
       "      <td>64530517.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>12/03/2020</td>\n",
       "      <td>65221040.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>12/04/2020</td>\n",
       "      <td>65899441.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>12/05/2020</td>\n",
       "      <td>66540034.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>12/06/2020</td>\n",
       "      <td>67073728.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    ObservationDate   Confirmed\n",
       "310      11/27/2020  61687701.0\n",
       "311      11/28/2020  62286402.0\n",
       "312      11/29/2020  62773116.0\n",
       "313      11/30/2020  63279026.0\n",
       "314      12/01/2020  63883985.0\n",
       "315      12/02/2020  64530517.0\n",
       "316      12/03/2020  65221040.0\n",
       "317      12/04/2020  65899441.0\n",
       "318      12/05/2020  66540034.0\n",
       "319      12/06/2020  67073728.0"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confirmed.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ObservationDate</th>\n",
       "      <th>Deaths</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>11/27/2020</td>\n",
       "      <td>1443110.0</td>\n",
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       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>11/28/2020</td>\n",
       "      <td>1452852.0</td>\n",
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       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>11/29/2020</td>\n",
       "      <td>1459771.0</td>\n",
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       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>11/30/2020</td>\n",
       "      <td>1468458.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>12/01/2020</td>\n",
       "      <td>1481306.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>12/02/2020</td>\n",
       "      <td>1493742.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>12/03/2020</td>\n",
       "      <td>1506260.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>12/04/2020</td>\n",
       "      <td>1518670.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>12/05/2020</td>\n",
       "      <td>1528868.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>12/06/2020</td>\n",
       "      <td>1536056.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    ObservationDate     Deaths\n",
       "310      11/27/2020  1443110.0\n",
       "311      11/28/2020  1452852.0\n",
       "312      11/29/2020  1459771.0\n",
       "313      11/30/2020  1468458.0\n",
       "314      12/01/2020  1481306.0\n",
       "315      12/02/2020  1493742.0\n",
       "316      12/03/2020  1506260.0\n",
       "317      12/04/2020  1518670.0\n",
       "318      12/05/2020  1528868.0\n",
       "319      12/06/2020  1536056.0"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deaths.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>ObservationDate</th>\n",
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       "      <td>11/30/2020</td>\n",
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       "      <th>314</th>\n",
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       "      <th>315</th>\n",
       "      <td>12/02/2020</td>\n",
       "      <td>41496318.0</td>\n",
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       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>12/03/2020</td>\n",
       "      <td>41932091.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>12/04/2020</td>\n",
       "      <td>42352021.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>12/05/2020</td>\n",
       "      <td>42789879.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>12/06/2020</td>\n",
       "      <td>43103827.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    ObservationDate   Recovered\n",
       "310      11/27/2020  39476664.0\n",
       "311      11/28/2020  39831868.0\n",
       "312      11/29/2020  40157966.0\n",
       "313      11/30/2020  40559353.0\n",
       "314      12/01/2020  41034934.0\n",
       "315      12/02/2020  41496318.0\n",
       "316      12/03/2020  41932091.0\n",
       "317      12/04/2020  42352021.0\n",
       "318      12/05/2020  42789879.0\n",
       "319      12/06/2020  43103827.0"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recovered.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "GsSpdCFNcQG-"
   },
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "rn3z-futUCXy"
   },
   "outputs": [],
   "source": [
    "confirmed.columns = ['ds','y']\n",
    "#confirmed['ds'] = confirmed['ds'].dt.date\n",
    "confirmed['ds'] = pd.to_datetime(confirmed['ds'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ds</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>555.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-01-23</td>\n",
       "      <td>653.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-01-24</td>\n",
       "      <td>941.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-01-25</td>\n",
       "      <td>1438.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-01-26</td>\n",
       "      <td>2118.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ds       y\n",
       "0 2020-01-22   555.0\n",
       "1 2020-01-23   653.0\n",
       "2 2020-01-24   941.0\n",
       "3 2020-01-25  1438.0\n",
       "4 2020-01-26  2118.0"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confirmed.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 204
    },
    "colab_type": "code",
    "id": "0WcK1FkfUEq9",
    "outputId": "b1773e12-98b6-4ea5-e340-bde3fedaafd2"
   },
   "outputs": [
    {
     "data": {
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       "      <td>2020-12-02</td>\n",
       "      <td>64530517.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>2020-12-03</td>\n",
       "      <td>65221040.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>65899441.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>2020-12-05</td>\n",
       "      <td>66540034.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>2020-12-06</td>\n",
       "      <td>67073728.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            ds           y\n",
       "315 2020-12-02  64530517.0\n",
       "316 2020-12-03  65221040.0\n",
       "317 2020-12-04  65899441.0\n",
       "318 2020-12-05  66540034.0\n",
       "319 2020-12-06  67073728.0"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confirmed.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "bZVTsSqMaDLO"
   },
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_rows', None)\n",
    "pd.set_option('display.float_format', lambda x: '%.3f' % x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 238
    },
    "colab_type": "code",
    "id": "5pw5VDIlUH-F",
    "outputId": "0833d2a5-28a1-49ea-e10a-91d2db9cbcc7"
   },
   "outputs": [],
   "source": [
    "m = Prophet(interval_width=0.95)\n",
    "m.fit(confirmed)\n",
    "future = m.make_future_dataframe(periods=131)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "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></th>\n",
       "      <th>ds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>2020-11-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>2020-11-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>2020-11-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>2020-12-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>2020-12-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>2020-12-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>2020-12-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>2020-12-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>2020-12-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>2020-12-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>2020-12-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>2020-12-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>2020-12-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>2020-12-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>2020-12-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>2020-12-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>2020-12-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>2020-12-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>2020-12-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>2020-12-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>2020-12-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>2020-12-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>2020-12-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>2020-12-21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>2020-12-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>2020-12-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>2020-12-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>2020-12-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>2020-12-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>2020-12-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>2020-12-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>2020-12-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>2020-12-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>2020-12-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>2021-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>2021-01-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>2021-01-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>2021-01-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>2021-01-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>2021-01-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>2021-01-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>2021-01-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>2021-01-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>2021-01-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>2021-01-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>2021-01-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>2021-01-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>2021-01-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>2021-01-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>2021-01-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361</th>\n",
       "      <td>2021-01-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>2021-01-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>2021-01-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>2021-01-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>2021-01-21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>366</th>\n",
       "      <td>2021-01-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367</th>\n",
       "      <td>2021-01-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>368</th>\n",
       "      <td>2021-01-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>369</th>\n",
       "      <td>2021-01-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>2021-01-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>371</th>\n",
       "      <td>2021-01-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>2021-01-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>373</th>\n",
       "      <td>2021-01-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>374</th>\n",
       "      <td>2021-01-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>2021-01-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>2021-02-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377</th>\n",
       "      <td>2021-02-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378</th>\n",
       "      <td>2021-02-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379</th>\n",
       "      <td>2021-02-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>2021-02-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>381</th>\n",
       "      <td>2021-02-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>2021-02-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>2021-02-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>2021-02-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385</th>\n",
       "      <td>2021-02-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>2021-02-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387</th>\n",
       "      <td>2021-02-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>2021-02-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389</th>\n",
       "      <td>2021-02-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390</th>\n",
       "      <td>2021-02-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>2021-02-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>392</th>\n",
       "      <td>2021-02-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>2021-02-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>2021-02-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>2021-02-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>2021-02-21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>2021-02-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>2021-02-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>2021-02-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>2021-02-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401</th>\n",
       "      <td>2021-02-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>402</th>\n",
       "      <td>2021-02-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>403</th>\n",
       "      <td>2021-02-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>404</th>\n",
       "      <td>2021-03-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>405</th>\n",
       "      <td>2021-03-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>406</th>\n",
       "      <td>2021-03-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>407</th>\n",
       "      <td>2021-03-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408</th>\n",
       "      <td>2021-03-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409</th>\n",
       "      <td>2021-03-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>2021-03-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>2021-03-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>2021-03-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>2021-03-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>2021-03-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>415</th>\n",
       "      <td>2021-03-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>2021-03-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417</th>\n",
       "      <td>2021-03-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>418</th>\n",
       "      <td>2021-03-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>419</th>\n",
       "      <td>2021-03-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>2021-03-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>421</th>\n",
       "      <td>2021-03-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>2021-03-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>2021-03-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>2021-03-21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>2021-03-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>2021-03-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427</th>\n",
       "      <td>2021-03-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>2021-03-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429</th>\n",
       "      <td>2021-03-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>2021-03-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>2021-03-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>2021-03-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>433</th>\n",
       "      <td>2021-03-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>2021-03-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435</th>\n",
       "      <td>2021-04-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>2021-04-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437</th>\n",
       "      <td>2021-04-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>2021-04-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>439</th>\n",
       "      <td>2021-04-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>2021-04-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441</th>\n",
       "      <td>2021-04-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>2021-04-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>443</th>\n",
       "      <td>2021-04-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>2021-04-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445</th>\n",
       "      <td>2021-04-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>446</th>\n",
       "      <td>2021-04-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>447</th>\n",
       "      <td>2021-04-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448</th>\n",
       "      <td>2021-04-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>2021-04-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>2021-04-16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            ds\n",
       "311 2020-11-28\n",
       "312 2020-11-29\n",
       "313 2020-11-30\n",
       "314 2020-12-01\n",
       "315 2020-12-02\n",
       "316 2020-12-03\n",
       "317 2020-12-04\n",
       "318 2020-12-05\n",
       "319 2020-12-06\n",
       "320 2020-12-07\n",
       "321 2020-12-08\n",
       "322 2020-12-09\n",
       "323 2020-12-10\n",
       "324 2020-12-11\n",
       "325 2020-12-12\n",
       "326 2020-12-13\n",
       "327 2020-12-14\n",
       "328 2020-12-15\n",
       "329 2020-12-16\n",
       "330 2020-12-17\n",
       "331 2020-12-18\n",
       "332 2020-12-19\n",
       "333 2020-12-20\n",
       "334 2020-12-21\n",
       "335 2020-12-22\n",
       "336 2020-12-23\n",
       "337 2020-12-24\n",
       "338 2020-12-25\n",
       "339 2020-12-26\n",
       "340 2020-12-27\n",
       "341 2020-12-28\n",
       "342 2020-12-29\n",
       "343 2020-12-30\n",
       "344 2020-12-31\n",
       "345 2021-01-01\n",
       "346 2021-01-02\n",
       "347 2021-01-03\n",
       "348 2021-01-04\n",
       "349 2021-01-05\n",
       "350 2021-01-06\n",
       "351 2021-01-07\n",
       "352 2021-01-08\n",
       "353 2021-01-09\n",
       "354 2021-01-10\n",
       "355 2021-01-11\n",
       "356 2021-01-12\n",
       "357 2021-01-13\n",
       "358 2021-01-14\n",
       "359 2021-01-15\n",
       "360 2021-01-16\n",
       "361 2021-01-17\n",
       "362 2021-01-18\n",
       "363 2021-01-19\n",
       "364 2021-01-20\n",
       "365 2021-01-21\n",
       "366 2021-01-22\n",
       "367 2021-01-23\n",
       "368 2021-01-24\n",
       "369 2021-01-25\n",
       "370 2021-01-26\n",
       "371 2021-01-27\n",
       "372 2021-01-28\n",
       "373 2021-01-29\n",
       "374 2021-01-30\n",
       "375 2021-01-31\n",
       "376 2021-02-01\n",
       "377 2021-02-02\n",
       "378 2021-02-03\n",
       "379 2021-02-04\n",
       "380 2021-02-05\n",
       "381 2021-02-06\n",
       "382 2021-02-07\n",
       "383 2021-02-08\n",
       "384 2021-02-09\n",
       "385 2021-02-10\n",
       "386 2021-02-11\n",
       "387 2021-02-12\n",
       "388 2021-02-13\n",
       "389 2021-02-14\n",
       "390 2021-02-15\n",
       "391 2021-02-16\n",
       "392 2021-02-17\n",
       "393 2021-02-18\n",
       "394 2021-02-19\n",
       "395 2021-02-20\n",
       "396 2021-02-21\n",
       "397 2021-02-22\n",
       "398 2021-02-23\n",
       "399 2021-02-24\n",
       "400 2021-02-25\n",
       "401 2021-02-26\n",
       "402 2021-02-27\n",
       "403 2021-02-28\n",
       "404 2021-03-01\n",
       "405 2021-03-02\n",
       "406 2021-03-03\n",
       "407 2021-03-04\n",
       "408 2021-03-05\n",
       "409 2021-03-06\n",
       "410 2021-03-07\n",
       "411 2021-03-08\n",
       "412 2021-03-09\n",
       "413 2021-03-10\n",
       "414 2021-03-11\n",
       "415 2021-03-12\n",
       "416 2021-03-13\n",
       "417 2021-03-14\n",
       "418 2021-03-15\n",
       "419 2021-03-16\n",
       "420 2021-03-17\n",
       "421 2021-03-18\n",
       "422 2021-03-19\n",
       "423 2021-03-20\n",
       "424 2021-03-21\n",
       "425 2021-03-22\n",
       "426 2021-03-23\n",
       "427 2021-03-24\n",
       "428 2021-03-25\n",
       "429 2021-03-26\n",
       "430 2021-03-27\n",
       "431 2021-03-28\n",
       "432 2021-03-29\n",
       "433 2021-03-30\n",
       "434 2021-03-31\n",
       "435 2021-04-01\n",
       "436 2021-04-02\n",
       "437 2021-04-03\n",
       "438 2021-04-04\n",
       "439 2021-04-05\n",
       "440 2021-04-06\n",
       "441 2021-04-07\n",
       "442 2021-04-08\n",
       "443 2021-04-09\n",
       "444 2021-04-10\n",
       "445 2021-04-11\n",
       "446 2021-04-12\n",
       "447 2021-04-13\n",
       "448 2021-04-14\n",
       "449 2021-04-15\n",
       "450 2021-04-16"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "future.tail(140)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "jZBSljBVdZ-2"
   },
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 204
    },
    "colab_type": "code",
    "id": "CdJu5EnIUPhB",
    "outputId": "a3233f6b-e131-4cba-931e-12a87d5c41bc"
   },
   "outputs": [
    {
     "data": {
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       "      <th>318</th>\n",
       "      <td>2020-12-05</td>\n",
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       "      <th>319</th>\n",
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       "      <th>320</th>\n",
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       "      <td>2020-12-08</td>\n",
       "      <td>66343205.431</td>\n",
       "      <td>65446033.994</td>\n",
       "      <td>67206498.659</td>\n",
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       "      <th>322</th>\n",
       "      <td>2020-12-09</td>\n",
       "      <td>66865277.916</td>\n",
       "      <td>66001688.358</td>\n",
       "      <td>67785510.834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>2020-12-10</td>\n",
       "      <td>67389416.980</td>\n",
       "      <td>66538370.188</td>\n",
       "      <td>68265168.545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>2020-12-11</td>\n",
       "      <td>67922107.896</td>\n",
       "      <td>66991300.066</td>\n",
       "      <td>68812067.848</td>\n",
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       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>2020-12-12</td>\n",
       "      <td>68427829.460</td>\n",
       "      <td>67499080.242</td>\n",
       "      <td>69477076.459</td>\n",
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       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>2020-12-13</td>\n",
       "      <td>68902192.104</td>\n",
       "      <td>68034756.111</td>\n",
       "      <td>69828410.683</td>\n",
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       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>2020-12-14</td>\n",
       "      <td>69346639.691</td>\n",
       "      <td>68405220.441</td>\n",
       "      <td>70272998.709</td>\n",
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       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>2020-12-15</td>\n",
       "      <td>69845261.176</td>\n",
       "      <td>68976187.050</td>\n",
       "      <td>70851201.540</td>\n",
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       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>2020-12-16</td>\n",
       "      <td>70367333.662</td>\n",
       "      <td>69432820.976</td>\n",
       "      <td>71340984.866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>2020-12-17</td>\n",
       "      <td>70891472.726</td>\n",
       "      <td>69895658.343</td>\n",
       "      <td>71875183.260</td>\n",
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       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>2020-12-18</td>\n",
       "      <td>71424163.641</td>\n",
       "      <td>70341160.337</td>\n",
       "      <td>72406340.052</td>\n",
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       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>2020-12-19</td>\n",
       "      <td>71929885.206</td>\n",
       "      <td>70839229.181</td>\n",
       "      <td>72991581.324</td>\n",
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       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>2020-12-20</td>\n",
       "      <td>72404247.850</td>\n",
       "      <td>71317893.236</td>\n",
       "      <td>73574529.381</td>\n",
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       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>2020-12-21</td>\n",
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       "      <td>71733210.286</td>\n",
       "      <td>74049397.233</td>\n",
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       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>2020-12-22</td>\n",
       "      <td>73347316.922</td>\n",
       "      <td>72082900.394</td>\n",
       "      <td>74418262.702</td>\n",
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       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>2020-12-23</td>\n",
       "      <td>73869389.407</td>\n",
       "      <td>72524688.616</td>\n",
       "      <td>75110709.260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>2020-12-24</td>\n",
       "      <td>74393528.471</td>\n",
       "      <td>73095237.204</td>\n",
       "      <td>75604463.313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>2020-12-25</td>\n",
       "      <td>74926219.387</td>\n",
       "      <td>73411574.610</td>\n",
       "      <td>76247372.890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>2020-12-26</td>\n",
       "      <td>75431940.951</td>\n",
       "      <td>73914199.287</td>\n",
       "      <td>76858767.603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>2020-12-27</td>\n",
       "      <td>75906303.595</td>\n",
       "      <td>74213801.632</td>\n",
       "      <td>77433785.399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>2020-12-28</td>\n",
       "      <td>76350751.181</td>\n",
       "      <td>74619421.154</td>\n",
       "      <td>77950935.638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>2020-12-29</td>\n",
       "      <td>76849372.667</td>\n",
       "      <td>75103979.851</td>\n",
       "      <td>78466185.832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>2020-12-30</td>\n",
       "      <td>77371445.152</td>\n",
       "      <td>75579541.153</td>\n",
       "      <td>79037243.565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>2020-12-31</td>\n",
       "      <td>77895584.216</td>\n",
       "      <td>76038744.660</td>\n",
       "      <td>79686350.080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>78428275.132</td>\n",
       "      <td>76299888.015</td>\n",
       "      <td>80377151.675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>2021-01-02</td>\n",
       "      <td>78933996.696</td>\n",
       "      <td>76740050.738</td>\n",
       "      <td>80934971.756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>2021-01-03</td>\n",
       "      <td>79408359.340</td>\n",
       "      <td>77156801.843</td>\n",
       "      <td>81420933.445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>2021-01-04</td>\n",
       "      <td>79852806.927</td>\n",
       "      <td>77359050.561</td>\n",
       "      <td>81989030.746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>2021-01-05</td>\n",
       "      <td>80351428.412</td>\n",
       "      <td>77846356.049</td>\n",
       "      <td>82603494.995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>2021-01-06</td>\n",
       "      <td>80873500.897</td>\n",
       "      <td>78259377.262</td>\n",
       "      <td>83105329.669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>2021-01-07</td>\n",
       "      <td>81397639.961</td>\n",
       "      <td>78681032.879</td>\n",
       "      <td>83712506.550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>2021-01-08</td>\n",
       "      <td>81930330.877</td>\n",
       "      <td>79108605.674</td>\n",
       "      <td>84530449.447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>2021-01-09</td>\n",
       "      <td>82436052.441</td>\n",
       "      <td>79264194.734</td>\n",
       "      <td>85082132.786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>2021-01-10</td>\n",
       "      <td>82910415.085</td>\n",
       "      <td>79782835.349</td>\n",
       "      <td>85765376.356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>2021-01-11</td>\n",
       "      <td>83354862.672</td>\n",
       "      <td>80125992.958</td>\n",
       "      <td>86310215.991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>2021-01-12</td>\n",
       "      <td>83853484.157</td>\n",
       "      <td>80562575.433</td>\n",
       "      <td>86775416.076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>2021-01-13</td>\n",
       "      <td>84375556.643</td>\n",
       "      <td>80898694.893</td>\n",
       "      <td>87379988.848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>2021-01-14</td>\n",
       "      <td>84899695.707</td>\n",
       "      <td>81359173.471</td>\n",
       "      <td>88107948.562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>2021-01-15</td>\n",
       "      <td>85432386.622</td>\n",
       "      <td>81612726.724</td>\n",
       "      <td>88717693.222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>2021-01-16</td>\n",
       "      <td>85938108.187</td>\n",
       "      <td>82271379.180</td>\n",
       "      <td>89363853.624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361</th>\n",
       "      <td>2021-01-17</td>\n",
       "      <td>86412470.831</td>\n",
       "      <td>82177640.795</td>\n",
       "      <td>89953334.408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>2021-01-18</td>\n",
       "      <td>86856918.417</td>\n",
       "      <td>82810144.601</td>\n",
       "      <td>90560234.009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>2021-01-19</td>\n",
       "      <td>87355539.903</td>\n",
       "      <td>83237337.923</td>\n",
       "      <td>91160243.553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>2021-01-20</td>\n",
       "      <td>87877612.388</td>\n",
       "      <td>83402190.936</td>\n",
       "      <td>91722873.894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>2021-01-21</td>\n",
       "      <td>88401751.452</td>\n",
       "      <td>83650077.757</td>\n",
       "      <td>92438841.109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>366</th>\n",
       "      <td>2021-01-22</td>\n",
       "      <td>88934442.368</td>\n",
       "      <td>84376710.085</td>\n",
       "      <td>93009995.105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367</th>\n",
       "      <td>2021-01-23</td>\n",
       "      <td>89440163.932</td>\n",
       "      <td>84715184.143</td>\n",
       "      <td>93728586.399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>368</th>\n",
       "      <td>2021-01-24</td>\n",
       "      <td>89914526.576</td>\n",
       "      <td>84938243.781</td>\n",
       "      <td>94188083.984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>369</th>\n",
       "      <td>2021-01-25</td>\n",
       "      <td>90358974.162</td>\n",
       "      <td>85147641.337</td>\n",
       "      <td>94885580.812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>2021-01-26</td>\n",
       "      <td>90857595.648</td>\n",
       "      <td>85477637.136</td>\n",
       "      <td>95536302.190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>371</th>\n",
       "      <td>2021-01-27</td>\n",
       "      <td>91379668.133</td>\n",
       "      <td>85969359.502</td>\n",
       "      <td>96087755.912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>2021-01-28</td>\n",
       "      <td>91903807.197</td>\n",
       "      <td>86480123.778</td>\n",
       "      <td>96882858.380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>373</th>\n",
       "      <td>2021-01-29</td>\n",
       "      <td>92436498.113</td>\n",
       "      <td>86829686.844</td>\n",
       "      <td>97155274.544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>374</th>\n",
       "      <td>2021-01-30</td>\n",
       "      <td>92942219.677</td>\n",
       "      <td>87209272.440</td>\n",
       "      <td>97964447.394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>2021-01-31</td>\n",
       "      <td>93416582.321</td>\n",
       "      <td>87350292.824</td>\n",
       "      <td>98556936.258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>2021-02-01</td>\n",
       "      <td>93861029.908</td>\n",
       "      <td>87734734.752</td>\n",
       "      <td>99199255.527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377</th>\n",
       "      <td>2021-02-02</td>\n",
       "      <td>94359651.393</td>\n",
       "      <td>88262240.264</td>\n",
       "      <td>100070049.727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378</th>\n",
       "      <td>2021-02-03</td>\n",
       "      <td>94881723.878</td>\n",
       "      <td>88227301.829</td>\n",
       "      <td>100579314.669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379</th>\n",
       "      <td>2021-02-04</td>\n",
       "      <td>95405862.942</td>\n",
       "      <td>88804312.098</td>\n",
       "      <td>101046683.817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>2021-02-05</td>\n",
       "      <td>95938553.858</td>\n",
       "      <td>89004603.961</td>\n",
       "      <td>101575989.616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>381</th>\n",
       "      <td>2021-02-06</td>\n",
       "      <td>96444275.422</td>\n",
       "      <td>89652971.262</td>\n",
       "      <td>102532360.854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>2021-02-07</td>\n",
       "      <td>96918638.066</td>\n",
       "      <td>89866156.896</td>\n",
       "      <td>103105385.464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>2021-02-08</td>\n",
       "      <td>97363085.653</td>\n",
       "      <td>90162360.704</td>\n",
       "      <td>103897598.365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>2021-02-09</td>\n",
       "      <td>97861707.138</td>\n",
       "      <td>90139152.999</td>\n",
       "      <td>104231440.171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385</th>\n",
       "      <td>2021-02-10</td>\n",
       "      <td>98383779.624</td>\n",
       "      <td>90828678.770</td>\n",
       "      <td>105104321.615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>2021-02-11</td>\n",
       "      <td>98907918.688</td>\n",
       "      <td>91021664.499</td>\n",
       "      <td>105560899.408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387</th>\n",
       "      <td>2021-02-12</td>\n",
       "      <td>99440609.603</td>\n",
       "      <td>91474145.579</td>\n",
       "      <td>106127087.640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>2021-02-13</td>\n",
       "      <td>99946331.168</td>\n",
       "      <td>91772874.889</td>\n",
       "      <td>106966832.469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389</th>\n",
       "      <td>2021-02-14</td>\n",
       "      <td>100420693.812</td>\n",
       "      <td>91991843.376</td>\n",
       "      <td>107467973.914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390</th>\n",
       "      <td>2021-02-15</td>\n",
       "      <td>100865141.398</td>\n",
       "      <td>92103081.010</td>\n",
       "      <td>107961637.321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>2021-02-16</td>\n",
       "      <td>101363762.884</td>\n",
       "      <td>92561025.970</td>\n",
       "      <td>109124090.900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>392</th>\n",
       "      <td>2021-02-17</td>\n",
       "      <td>101885835.369</td>\n",
       "      <td>93051735.429</td>\n",
       "      <td>109702939.758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>2021-02-18</td>\n",
       "      <td>102409974.433</td>\n",
       "      <td>93543678.542</td>\n",
       "      <td>110132960.421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>2021-02-19</td>\n",
       "      <td>102942665.349</td>\n",
       "      <td>93712106.509</td>\n",
       "      <td>110723828.884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>2021-02-20</td>\n",
       "      <td>103448386.913</td>\n",
       "      <td>94403353.233</td>\n",
       "      <td>111382498.839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>2021-02-21</td>\n",
       "      <td>103922749.557</td>\n",
       "      <td>94439374.258</td>\n",
       "      <td>112155431.328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>2021-02-22</td>\n",
       "      <td>104367197.143</td>\n",
       "      <td>94946586.442</td>\n",
       "      <td>112350232.914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>2021-02-23</td>\n",
       "      <td>104865818.629</td>\n",
       "      <td>95193338.707</td>\n",
       "      <td>112940551.101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>2021-02-24</td>\n",
       "      <td>105387891.114</td>\n",
       "      <td>95216603.187</td>\n",
       "      <td>114262831.201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>2021-02-25</td>\n",
       "      <td>105912030.178</td>\n",
       "      <td>95694064.577</td>\n",
       "      <td>114241103.772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401</th>\n",
       "      <td>2021-02-26</td>\n",
       "      <td>106444721.094</td>\n",
       "      <td>96119667.766</td>\n",
       "      <td>115410747.405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>402</th>\n",
       "      <td>2021-02-27</td>\n",
       "      <td>106950442.658</td>\n",
       "      <td>96347883.200</td>\n",
       "      <td>116119068.697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>403</th>\n",
       "      <td>2021-02-28</td>\n",
       "      <td>107424805.302</td>\n",
       "      <td>96701293.002</td>\n",
       "      <td>116407146.510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>404</th>\n",
       "      <td>2021-03-01</td>\n",
       "      <td>107869252.889</td>\n",
       "      <td>96894284.275</td>\n",
       "      <td>117053166.996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>405</th>\n",
       "      <td>2021-03-02</td>\n",
       "      <td>108367874.374</td>\n",
       "      <td>97535505.256</td>\n",
       "      <td>117564734.528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>406</th>\n",
       "      <td>2021-03-03</td>\n",
       "      <td>108889946.859</td>\n",
       "      <td>97536599.843</td>\n",
       "      <td>118459140.618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>407</th>\n",
       "      <td>2021-03-04</td>\n",
       "      <td>109414085.923</td>\n",
       "      <td>98304271.651</td>\n",
       "      <td>118956582.518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408</th>\n",
       "      <td>2021-03-05</td>\n",
       "      <td>109946776.839</td>\n",
       "      <td>98136326.679</td>\n",
       "      <td>119805791.471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409</th>\n",
       "      <td>2021-03-06</td>\n",
       "      <td>110452498.403</td>\n",
       "      <td>98778346.458</td>\n",
       "      <td>120466603.554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>2021-03-07</td>\n",
       "      <td>110926861.048</td>\n",
       "      <td>99035604.676</td>\n",
       "      <td>120831243.591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>2021-03-08</td>\n",
       "      <td>111371308.634</td>\n",
       "      <td>99572150.905</td>\n",
       "      <td>121874412.148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>2021-03-09</td>\n",
       "      <td>111869930.119</td>\n",
       "      <td>99333144.155</td>\n",
       "      <td>122415216.355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>2021-03-10</td>\n",
       "      <td>112392002.605</td>\n",
       "      <td>100048294.102</td>\n",
       "      <td>123296294.109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>2021-03-11</td>\n",
       "      <td>112916141.669</td>\n",
       "      <td>100249153.428</td>\n",
       "      <td>123635678.352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>415</th>\n",
       "      <td>2021-03-12</td>\n",
       "      <td>113448832.584</td>\n",
       "      <td>100909602.454</td>\n",
       "      <td>124710983.102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>2021-03-13</td>\n",
       "      <td>113954554.149</td>\n",
       "      <td>101100325.522</td>\n",
       "      <td>125009815.495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417</th>\n",
       "      <td>2021-03-14</td>\n",
       "      <td>114428916.793</td>\n",
       "      <td>101282126.793</td>\n",
       "      <td>125811688.203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>418</th>\n",
       "      <td>2021-03-15</td>\n",
       "      <td>114873364.379</td>\n",
       "      <td>101684092.092</td>\n",
       "      <td>126574757.216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>419</th>\n",
       "      <td>2021-03-16</td>\n",
       "      <td>115371985.865</td>\n",
       "      <td>101674429.196</td>\n",
       "      <td>127167417.314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>2021-03-17</td>\n",
       "      <td>115894058.350</td>\n",
       "      <td>102404181.920</td>\n",
       "      <td>127824679.191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>421</th>\n",
       "      <td>2021-03-18</td>\n",
       "      <td>116418197.414</td>\n",
       "      <td>102668909.262</td>\n",
       "      <td>128600626.929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>2021-03-19</td>\n",
       "      <td>116950888.330</td>\n",
       "      <td>102847791.349</td>\n",
       "      <td>129337143.527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>2021-03-20</td>\n",
       "      <td>117456609.894</td>\n",
       "      <td>103074170.397</td>\n",
       "      <td>129852453.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>2021-03-21</td>\n",
       "      <td>117930972.538</td>\n",
       "      <td>103099930.838</td>\n",
       "      <td>130577621.459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>2021-03-22</td>\n",
       "      <td>118375420.124</td>\n",
       "      <td>103296812.778</td>\n",
       "      <td>131197177.677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>2021-03-23</td>\n",
       "      <td>118874041.610</td>\n",
       "      <td>103876882.093</td>\n",
       "      <td>132087125.092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427</th>\n",
       "      <td>2021-03-24</td>\n",
       "      <td>119396114.095</td>\n",
       "      <td>103987642.420</td>\n",
       "      <td>132501498.811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>2021-03-25</td>\n",
       "      <td>119920253.159</td>\n",
       "      <td>104354968.227</td>\n",
       "      <td>133502902.786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429</th>\n",
       "      <td>2021-03-26</td>\n",
       "      <td>120452944.075</td>\n",
       "      <td>104434215.746</td>\n",
       "      <td>133775445.808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>2021-03-27</td>\n",
       "      <td>120958665.639</td>\n",
       "      <td>104828769.430</td>\n",
       "      <td>134408334.626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>2021-03-28</td>\n",
       "      <td>121433028.283</td>\n",
       "      <td>105191072.512</td>\n",
       "      <td>135128898.435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>2021-03-29</td>\n",
       "      <td>121877475.870</td>\n",
       "      <td>105597758.606</td>\n",
       "      <td>136028518.149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>433</th>\n",
       "      <td>2021-03-30</td>\n",
       "      <td>122376097.355</td>\n",
       "      <td>105733234.624</td>\n",
       "      <td>137187314.155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>122898169.840</td>\n",
       "      <td>106047506.116</td>\n",
       "      <td>137537645.397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435</th>\n",
       "      <td>2021-04-01</td>\n",
       "      <td>123422308.904</td>\n",
       "      <td>105750229.034</td>\n",
       "      <td>137842172.254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>2021-04-02</td>\n",
       "      <td>123954999.820</td>\n",
       "      <td>106057807.880</td>\n",
       "      <td>138705609.763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437</th>\n",
       "      <td>2021-04-03</td>\n",
       "      <td>124460721.384</td>\n",
       "      <td>106801687.496</td>\n",
       "      <td>139503565.334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>2021-04-04</td>\n",
       "      <td>124935084.029</td>\n",
       "      <td>106754796.643</td>\n",
       "      <td>139946855.682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>439</th>\n",
       "      <td>2021-04-05</td>\n",
       "      <td>125379531.615</td>\n",
       "      <td>107181501.598</td>\n",
       "      <td>140626019.689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>2021-04-06</td>\n",
       "      <td>125878153.100</td>\n",
       "      <td>107342869.030</td>\n",
       "      <td>141282170.919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441</th>\n",
       "      <td>2021-04-07</td>\n",
       "      <td>126400225.586</td>\n",
       "      <td>107919434.462</td>\n",
       "      <td>142345848.110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>2021-04-08</td>\n",
       "      <td>126924364.650</td>\n",
       "      <td>108009972.547</td>\n",
       "      <td>143035534.666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>443</th>\n",
       "      <td>2021-04-09</td>\n",
       "      <td>127457055.565</td>\n",
       "      <td>108693265.096</td>\n",
       "      <td>143802853.176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>2021-04-10</td>\n",
       "      <td>127962777.130</td>\n",
       "      <td>108596287.547</td>\n",
       "      <td>144297753.460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445</th>\n",
       "      <td>2021-04-11</td>\n",
       "      <td>128437139.774</td>\n",
       "      <td>109172354.121</td>\n",
       "      <td>145475377.735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>446</th>\n",
       "      <td>2021-04-12</td>\n",
       "      <td>128881587.360</td>\n",
       "      <td>109533206.150</td>\n",
       "      <td>145745406.940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>447</th>\n",
       "      <td>2021-04-13</td>\n",
       "      <td>129380208.846</td>\n",
       "      <td>108881271.910</td>\n",
       "      <td>146537455.610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448</th>\n",
       "      <td>2021-04-14</td>\n",
       "      <td>129902281.331</td>\n",
       "      <td>109429848.149</td>\n",
       "      <td>146971114.195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>2021-04-15</td>\n",
       "      <td>130426420.395</td>\n",
       "      <td>109704501.308</td>\n",
       "      <td>148086417.976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>2021-04-16</td>\n",
       "      <td>130959111.311</td>\n",
       "      <td>110359827.012</td>\n",
       "      <td>148323520.367</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            ds          yhat    yhat_lower    yhat_upper\n",
       "311 2020-11-28  61423717.970  60490939.593  62244548.137\n",
       "312 2020-11-29  61898080.614  61033871.182  62873806.948\n",
       "313 2020-11-30  62342528.200  61438348.723  63233682.091\n",
       "314 2020-12-01  62841149.686  61879795.062  63753312.821\n",
       "315 2020-12-02  63363222.171  62423692.133  64264800.753\n",
       "316 2020-12-03  63887361.235  63030099.322  64766679.998\n",
       "317 2020-12-04  64420052.151  63480265.236  65267790.398\n",
       "318 2020-12-05  64925773.715  64077978.199  65869292.908\n",
       "319 2020-12-06  65400136.359  64478557.858  66241326.065\n",
       "320 2020-12-07  65844583.945  64987202.317  66782103.017\n",
       "321 2020-12-08  66343205.431  65446033.994  67206498.659\n",
       "322 2020-12-09  66865277.916  66001688.358  67785510.834\n",
       "323 2020-12-10  67389416.980  66538370.188  68265168.545\n",
       "324 2020-12-11  67922107.896  66991300.066  68812067.848\n",
       "325 2020-12-12  68427829.460  67499080.242  69477076.459\n",
       "326 2020-12-13  68902192.104  68034756.111  69828410.683\n",
       "327 2020-12-14  69346639.691  68405220.441  70272998.709\n",
       "328 2020-12-15  69845261.176  68976187.050  70851201.540\n",
       "329 2020-12-16  70367333.662  69432820.976  71340984.866\n",
       "330 2020-12-17  70891472.726  69895658.343  71875183.260\n",
       "331 2020-12-18  71424163.641  70341160.337  72406340.052\n",
       "332 2020-12-19  71929885.206  70839229.181  72991581.324\n",
       "333 2020-12-20  72404247.850  71317893.236  73574529.381\n",
       "334 2020-12-21  72848695.436  71733210.286  74049397.233\n",
       "335 2020-12-22  73347316.922  72082900.394  74418262.702\n",
       "336 2020-12-23  73869389.407  72524688.616  75110709.260\n",
       "337 2020-12-24  74393528.471  73095237.204  75604463.313\n",
       "338 2020-12-25  74926219.387  73411574.610  76247372.890\n",
       "339 2020-12-26  75431940.951  73914199.287  76858767.603\n",
       "340 2020-12-27  75906303.595  74213801.632  77433785.399\n",
       "341 2020-12-28  76350751.181  74619421.154  77950935.638\n",
       "342 2020-12-29  76849372.667  75103979.851  78466185.832\n",
       "343 2020-12-30  77371445.152  75579541.153  79037243.565\n",
       "344 2020-12-31  77895584.216  76038744.660  79686350.080\n",
       "345 2021-01-01  78428275.132  76299888.015  80377151.675\n",
       "346 2021-01-02  78933996.696  76740050.738  80934971.756\n",
       "347 2021-01-03  79408359.340  77156801.843  81420933.445\n",
       "348 2021-01-04  79852806.927  77359050.561  81989030.746\n",
       "349 2021-01-05  80351428.412  77846356.049  82603494.995\n",
       "350 2021-01-06  80873500.897  78259377.262  83105329.669\n",
       "351 2021-01-07  81397639.961  78681032.879  83712506.550\n",
       "352 2021-01-08  81930330.877  79108605.674  84530449.447\n",
       "353 2021-01-09  82436052.441  79264194.734  85082132.786\n",
       "354 2021-01-10  82910415.085  79782835.349  85765376.356\n",
       "355 2021-01-11  83354862.672  80125992.958  86310215.991\n",
       "356 2021-01-12  83853484.157  80562575.433  86775416.076\n",
       "357 2021-01-13  84375556.643  80898694.893  87379988.848\n",
       "358 2021-01-14  84899695.707  81359173.471  88107948.562\n",
       "359 2021-01-15  85432386.622  81612726.724  88717693.222\n",
       "360 2021-01-16  85938108.187  82271379.180  89363853.624\n",
       "361 2021-01-17  86412470.831  82177640.795  89953334.408\n",
       "362 2021-01-18  86856918.417  82810144.601  90560234.009\n",
       "363 2021-01-19  87355539.903  83237337.923  91160243.553\n",
       "364 2021-01-20  87877612.388  83402190.936  91722873.894\n",
       "365 2021-01-21  88401751.452  83650077.757  92438841.109\n",
       "366 2021-01-22  88934442.368  84376710.085  93009995.105\n",
       "367 2021-01-23  89440163.932  84715184.143  93728586.399\n",
       "368 2021-01-24  89914526.576  84938243.781  94188083.984\n",
       "369 2021-01-25  90358974.162  85147641.337  94885580.812\n",
       "370 2021-01-26  90857595.648  85477637.136  95536302.190\n",
       "371 2021-01-27  91379668.133  85969359.502  96087755.912\n",
       "372 2021-01-28  91903807.197  86480123.778  96882858.380\n",
       "373 2021-01-29  92436498.113  86829686.844  97155274.544\n",
       "374 2021-01-30  92942219.677  87209272.440  97964447.394\n",
       "375 2021-01-31  93416582.321  87350292.824  98556936.258\n",
       "376 2021-02-01  93861029.908  87734734.752  99199255.527\n",
       "377 2021-02-02  94359651.393  88262240.264 100070049.727\n",
       "378 2021-02-03  94881723.878  88227301.829 100579314.669\n",
       "379 2021-02-04  95405862.942  88804312.098 101046683.817\n",
       "380 2021-02-05  95938553.858  89004603.961 101575989.616\n",
       "381 2021-02-06  96444275.422  89652971.262 102532360.854\n",
       "382 2021-02-07  96918638.066  89866156.896 103105385.464\n",
       "383 2021-02-08  97363085.653  90162360.704 103897598.365\n",
       "384 2021-02-09  97861707.138  90139152.999 104231440.171\n",
       "385 2021-02-10  98383779.624  90828678.770 105104321.615\n",
       "386 2021-02-11  98907918.688  91021664.499 105560899.408\n",
       "387 2021-02-12  99440609.603  91474145.579 106127087.640\n",
       "388 2021-02-13  99946331.168  91772874.889 106966832.469\n",
       "389 2021-02-14 100420693.812  91991843.376 107467973.914\n",
       "390 2021-02-15 100865141.398  92103081.010 107961637.321\n",
       "391 2021-02-16 101363762.884  92561025.970 109124090.900\n",
       "392 2021-02-17 101885835.369  93051735.429 109702939.758\n",
       "393 2021-02-18 102409974.433  93543678.542 110132960.421\n",
       "394 2021-02-19 102942665.349  93712106.509 110723828.884\n",
       "395 2021-02-20 103448386.913  94403353.233 111382498.839\n",
       "396 2021-02-21 103922749.557  94439374.258 112155431.328\n",
       "397 2021-02-22 104367197.143  94946586.442 112350232.914\n",
       "398 2021-02-23 104865818.629  95193338.707 112940551.101\n",
       "399 2021-02-24 105387891.114  95216603.187 114262831.201\n",
       "400 2021-02-25 105912030.178  95694064.577 114241103.772\n",
       "401 2021-02-26 106444721.094  96119667.766 115410747.405\n",
       "402 2021-02-27 106950442.658  96347883.200 116119068.697\n",
       "403 2021-02-28 107424805.302  96701293.002 116407146.510\n",
       "404 2021-03-01 107869252.889  96894284.275 117053166.996\n",
       "405 2021-03-02 108367874.374  97535505.256 117564734.528\n",
       "406 2021-03-03 108889946.859  97536599.843 118459140.618\n",
       "407 2021-03-04 109414085.923  98304271.651 118956582.518\n",
       "408 2021-03-05 109946776.839  98136326.679 119805791.471\n",
       "409 2021-03-06 110452498.403  98778346.458 120466603.554\n",
       "410 2021-03-07 110926861.048  99035604.676 120831243.591\n",
       "411 2021-03-08 111371308.634  99572150.905 121874412.148\n",
       "412 2021-03-09 111869930.119  99333144.155 122415216.355\n",
       "413 2021-03-10 112392002.605 100048294.102 123296294.109\n",
       "414 2021-03-11 112916141.669 100249153.428 123635678.352\n",
       "415 2021-03-12 113448832.584 100909602.454 124710983.102\n",
       "416 2021-03-13 113954554.149 101100325.522 125009815.495\n",
       "417 2021-03-14 114428916.793 101282126.793 125811688.203\n",
       "418 2021-03-15 114873364.379 101684092.092 126574757.216\n",
       "419 2021-03-16 115371985.865 101674429.196 127167417.314\n",
       "420 2021-03-17 115894058.350 102404181.920 127824679.191\n",
       "421 2021-03-18 116418197.414 102668909.262 128600626.929\n",
       "422 2021-03-19 116950888.330 102847791.349 129337143.527\n",
       "423 2021-03-20 117456609.894 103074170.397 129852453.666\n",
       "424 2021-03-21 117930972.538 103099930.838 130577621.459\n",
       "425 2021-03-22 118375420.124 103296812.778 131197177.677\n",
       "426 2021-03-23 118874041.610 103876882.093 132087125.092\n",
       "427 2021-03-24 119396114.095 103987642.420 132501498.811\n",
       "428 2021-03-25 119920253.159 104354968.227 133502902.786\n",
       "429 2021-03-26 120452944.075 104434215.746 133775445.808\n",
       "430 2021-03-27 120958665.639 104828769.430 134408334.626\n",
       "431 2021-03-28 121433028.283 105191072.512 135128898.435\n",
       "432 2021-03-29 121877475.870 105597758.606 136028518.149\n",
       "433 2021-03-30 122376097.355 105733234.624 137187314.155\n",
       "434 2021-03-31 122898169.840 106047506.116 137537645.397\n",
       "435 2021-04-01 123422308.904 105750229.034 137842172.254\n",
       "436 2021-04-02 123954999.820 106057807.880 138705609.763\n",
       "437 2021-04-03 124460721.384 106801687.496 139503565.334\n",
       "438 2021-04-04 124935084.029 106754796.643 139946855.682\n",
       "439 2021-04-05 125379531.615 107181501.598 140626019.689\n",
       "440 2021-04-06 125878153.100 107342869.030 141282170.919\n",
       "441 2021-04-07 126400225.586 107919434.462 142345848.110\n",
       "442 2021-04-08 126924364.650 108009972.547 143035534.666\n",
       "443 2021-04-09 127457055.565 108693265.096 143802853.176\n",
       "444 2021-04-10 127962777.130 108596287.547 144297753.460\n",
       "445 2021-04-11 128437139.774 109172354.121 145475377.735\n",
       "446 2021-04-12 128881587.360 109533206.150 145745406.940\n",
       "447 2021-04-13 129380208.846 108881271.910 146537455.610\n",
       "448 2021-04-14 129902281.331 109429848.149 146971114.195\n",
       "449 2021-04-15 130426420.395 109704501.308 148086417.976\n",
       "450 2021-04-16 130959111.311 110359827.012 148323520.367"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#predicting the future with date, and upper and lower limit of y value\n",
    "forecast = m.predict(future)\n",
    "forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']].tail(140)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "srMkt3cQdfOS"
   },
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 441
    },
    "colab_type": "code",
    "id": "ePoOz6wwU3c0",
    "outputId": "091836b6-b73f-451b-9dbd-761cfc3b2d6c"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "confirmed_forecast_plot = m.plot(forecast)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 441
    },
    "colab_type": "code",
    "id": "UDv_-qMRepkF",
    "outputId": "b541c602-f906-4748-b03a-5b7409a48baa"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "confirmed_forecast_plot =m.plot_components(forecast)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "mBh3fYTPU8x5"
   },
   "outputs": [],
   "source": [
    "deaths.columns = ['ds','y']\n",
    "deaths['ds'] = pd.to_datetime(deaths['ds'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 238
    },
    "colab_type": "code",
    "id": "2644baabbXuU",
    "outputId": "8c8d393b-ed66-426b-ec41-fe0d237b805b"
   },
   "outputs": [],
   "source": [
    "m = Prophet(interval_width=0.95)\n",
    "m.fit(deaths)\n",
    "future = m.make_future_dataframe(periods=131)\n",
    "future.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 204
    },
    "colab_type": "code",
    "id": "5yAFR7chbZgj",
    "outputId": "a7131788-a1f0-4552-f923-d4b2a0088b54"
   },
   "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></th>\n",
       "      <th>ds</th>\n",
       "      <th>yhat</th>\n",
       "      <th>yhat_lower</th>\n",
       "      <th>yhat_upper</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>2020-11-28</td>\n",
       "      <td>1434583.006</td>\n",
       "      <td>1415974.344</td>\n",
       "      <td>1453991.840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>2020-11-29</td>\n",
       "      <td>1440865.428</td>\n",
       "      <td>1420864.644</td>\n",
       "      <td>1460728.601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>2020-11-30</td>\n",
       "      <td>1446668.856</td>\n",
       "      <td>1427735.400</td>\n",
       "      <td>1465936.183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>2020-12-01</td>\n",
       "      <td>1454938.541</td>\n",
       "      <td>1435968.522</td>\n",
       "      <td>1473943.127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>2020-12-02</td>\n",
       "      <td>1463462.430</td>\n",
       "      <td>1444423.483</td>\n",
       "      <td>1484069.463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>2020-12-03</td>\n",
       "      <td>1471885.530</td>\n",
       "      <td>1452334.378</td>\n",
       "      <td>1491087.169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>1480181.400</td>\n",
       "      <td>1460661.568</td>\n",
       "      <td>1497235.351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>2020-12-05</td>\n",
       "      <td>1487619.489</td>\n",
       "      <td>1468862.482</td>\n",
       "      <td>1505241.625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>2020-12-06</td>\n",
       "      <td>1493901.911</td>\n",
       "      <td>1475769.666</td>\n",
       "      <td>1514229.517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>2020-12-07</td>\n",
       "      <td>1499705.339</td>\n",
       "      <td>1480839.968</td>\n",
       "      <td>1519206.201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>2020-12-08</td>\n",
       "      <td>1507975.024</td>\n",
       "      <td>1490597.190</td>\n",
       "      <td>1529284.832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>2020-12-09</td>\n",
       "      <td>1516498.913</td>\n",
       "      <td>1497702.780</td>\n",
       "      <td>1534869.527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>2020-12-10</td>\n",
       "      <td>1524922.013</td>\n",
       "      <td>1507448.531</td>\n",
       "      <td>1542065.473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>2020-12-11</td>\n",
       "      <td>1533217.883</td>\n",
       "      <td>1514760.502</td>\n",
       "      <td>1551594.455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>2020-12-12</td>\n",
       "      <td>1540655.972</td>\n",
       "      <td>1520569.566</td>\n",
       "      <td>1559225.394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>2020-12-13</td>\n",
       "      <td>1546938.394</td>\n",
       "      <td>1529293.625</td>\n",
       "      <td>1565613.245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>2020-12-14</td>\n",
       "      <td>1552741.823</td>\n",
       "      <td>1533640.726</td>\n",
       "      <td>1572740.731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>2020-12-15</td>\n",
       "      <td>1561011.507</td>\n",
       "      <td>1540642.718</td>\n",
       "      <td>1581628.443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>2020-12-16</td>\n",
       "      <td>1569535.397</td>\n",
       "      <td>1550613.569</td>\n",
       "      <td>1591602.392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>2020-12-17</td>\n",
       "      <td>1577958.496</td>\n",
       "      <td>1559101.181</td>\n",
       "      <td>1599284.621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>2020-12-18</td>\n",
       "      <td>1586254.366</td>\n",
       "      <td>1565058.447</td>\n",
       "      <td>1607860.943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>2020-12-19</td>\n",
       "      <td>1593692.455</td>\n",
       "      <td>1569867.712</td>\n",
       "      <td>1615780.271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>2020-12-20</td>\n",
       "      <td>1599974.877</td>\n",
       "      <td>1576714.258</td>\n",
       "      <td>1621830.250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>2020-12-21</td>\n",
       "      <td>1605778.306</td>\n",
       "      <td>1580229.843</td>\n",
       "      <td>1631393.200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>2020-12-22</td>\n",
       "      <td>1614047.990</td>\n",
       "      <td>1589784.577</td>\n",
       "      <td>1639241.838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>2020-12-23</td>\n",
       "      <td>1622571.880</td>\n",
       "      <td>1594022.699</td>\n",
       "      <td>1649346.896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>2020-12-24</td>\n",
       "      <td>1630994.980</td>\n",
       "      <td>1601519.800</td>\n",
       "      <td>1661105.606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>2020-12-25</td>\n",
       "      <td>1639290.849</td>\n",
       "      <td>1610288.559</td>\n",
       "      <td>1670718.295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>2020-12-26</td>\n",
       "      <td>1646728.939</td>\n",
       "      <td>1616700.812</td>\n",
       "      <td>1679487.321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>2020-12-27</td>\n",
       "      <td>1653011.360</td>\n",
       "      <td>1622259.736</td>\n",
       "      <td>1687131.030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>2020-12-28</td>\n",
       "      <td>1658814.789</td>\n",
       "      <td>1625709.082</td>\n",
       "      <td>1697105.836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>2020-12-29</td>\n",
       "      <td>1667084.473</td>\n",
       "      <td>1632466.643</td>\n",
       "      <td>1704075.059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>2020-12-30</td>\n",
       "      <td>1675608.363</td>\n",
       "      <td>1636656.497</td>\n",
       "      <td>1716383.304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>2020-12-31</td>\n",
       "      <td>1684031.463</td>\n",
       "      <td>1643296.947</td>\n",
       "      <td>1726971.246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>1692327.332</td>\n",
       "      <td>1649739.532</td>\n",
       "      <td>1734973.639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>2021-01-02</td>\n",
       "      <td>1699765.422</td>\n",
       "      <td>1653650.206</td>\n",
       "      <td>1746065.197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>2021-01-03</td>\n",
       "      <td>1706047.843</td>\n",
       "      <td>1658106.979</td>\n",
       "      <td>1755053.846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>2021-01-04</td>\n",
       "      <td>1711851.272</td>\n",
       "      <td>1662785.107</td>\n",
       "      <td>1767361.976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>2021-01-05</td>\n",
       "      <td>1720120.956</td>\n",
       "      <td>1668085.839</td>\n",
       "      <td>1770864.171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>2021-01-06</td>\n",
       "      <td>1728644.846</td>\n",
       "      <td>1677441.963</td>\n",
       "      <td>1782268.199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>2021-01-07</td>\n",
       "      <td>1737067.946</td>\n",
       "      <td>1681632.898</td>\n",
       "      <td>1794903.956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>2021-01-08</td>\n",
       "      <td>1745363.816</td>\n",
       "      <td>1683416.558</td>\n",
       "      <td>1806984.658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>2021-01-09</td>\n",
       "      <td>1752801.905</td>\n",
       "      <td>1693037.198</td>\n",
       "      <td>1811891.565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>2021-01-10</td>\n",
       "      <td>1759084.326</td>\n",
       "      <td>1694162.579</td>\n",
       "      <td>1824721.026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>2021-01-11</td>\n",
       "      <td>1764887.755</td>\n",
       "      <td>1696738.728</td>\n",
       "      <td>1835161.912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>2021-01-12</td>\n",
       "      <td>1773157.439</td>\n",
       "      <td>1700578.384</td>\n",
       "      <td>1842540.490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>2021-01-13</td>\n",
       "      <td>1781681.329</td>\n",
       "      <td>1708653.085</td>\n",
       "      <td>1854941.191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>2021-01-14</td>\n",
       "      <td>1790104.429</td>\n",
       "      <td>1714338.570</td>\n",
       "      <td>1863537.326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>2021-01-15</td>\n",
       "      <td>1798400.299</td>\n",
       "      <td>1717939.543</td>\n",
       "      <td>1875408.952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>2021-01-16</td>\n",
       "      <td>1805838.388</td>\n",
       "      <td>1726057.992</td>\n",
       "      <td>1889904.077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361</th>\n",
       "      <td>2021-01-17</td>\n",
       "      <td>1812120.809</td>\n",
       "      <td>1730725.529</td>\n",
       "      <td>1891263.026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>2021-01-18</td>\n",
       "      <td>1817924.238</td>\n",
       "      <td>1735576.304</td>\n",
       "      <td>1901867.360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>2021-01-19</td>\n",
       "      <td>1826193.922</td>\n",
       "      <td>1739026.286</td>\n",
       "      <td>1913580.341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>2021-01-20</td>\n",
       "      <td>1834717.812</td>\n",
       "      <td>1740874.761</td>\n",
       "      <td>1926092.929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>2021-01-21</td>\n",
       "      <td>1843140.912</td>\n",
       "      <td>1745086.890</td>\n",
       "      <td>1942037.220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>366</th>\n",
       "      <td>2021-01-22</td>\n",
       "      <td>1851436.782</td>\n",
       "      <td>1754868.221</td>\n",
       "      <td>1949811.391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367</th>\n",
       "      <td>2021-01-23</td>\n",
       "      <td>1858874.871</td>\n",
       "      <td>1759147.777</td>\n",
       "      <td>1955910.630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>368</th>\n",
       "      <td>2021-01-24</td>\n",
       "      <td>1865157.292</td>\n",
       "      <td>1761514.777</td>\n",
       "      <td>1967456.706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>369</th>\n",
       "      <td>2021-01-25</td>\n",
       "      <td>1870960.721</td>\n",
       "      <td>1763652.705</td>\n",
       "      <td>1978221.628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>2021-01-26</td>\n",
       "      <td>1879230.406</td>\n",
       "      <td>1772575.878</td>\n",
       "      <td>1992005.971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>371</th>\n",
       "      <td>2021-01-27</td>\n",
       "      <td>1887754.295</td>\n",
       "      <td>1780499.849</td>\n",
       "      <td>2001929.486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>2021-01-28</td>\n",
       "      <td>1896177.395</td>\n",
       "      <td>1781368.187</td>\n",
       "      <td>2008410.235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>373</th>\n",
       "      <td>2021-01-29</td>\n",
       "      <td>1904473.265</td>\n",
       "      <td>1784954.434</td>\n",
       "      <td>2022817.572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>374</th>\n",
       "      <td>2021-01-30</td>\n",
       "      <td>1911911.354</td>\n",
       "      <td>1786995.292</td>\n",
       "      <td>2026442.559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>2021-01-31</td>\n",
       "      <td>1918193.775</td>\n",
       "      <td>1796123.908</td>\n",
       "      <td>2040031.226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>2021-02-01</td>\n",
       "      <td>1923997.204</td>\n",
       "      <td>1800132.018</td>\n",
       "      <td>2050774.642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377</th>\n",
       "      <td>2021-02-02</td>\n",
       "      <td>1932266.889</td>\n",
       "      <td>1803641.026</td>\n",
       "      <td>2058207.915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378</th>\n",
       "      <td>2021-02-03</td>\n",
       "      <td>1940790.778</td>\n",
       "      <td>1805688.777</td>\n",
       "      <td>2070991.863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379</th>\n",
       "      <td>2021-02-04</td>\n",
       "      <td>1949213.878</td>\n",
       "      <td>1817672.033</td>\n",
       "      <td>2079317.787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>2021-02-05</td>\n",
       "      <td>1957509.748</td>\n",
       "      <td>1821081.656</td>\n",
       "      <td>2100508.171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>381</th>\n",
       "      <td>2021-02-06</td>\n",
       "      <td>1964947.837</td>\n",
       "      <td>1822450.287</td>\n",
       "      <td>2099480.244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>2021-02-07</td>\n",
       "      <td>1971230.259</td>\n",
       "      <td>1824144.750</td>\n",
       "      <td>2122027.754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>2021-02-08</td>\n",
       "      <td>1977033.687</td>\n",
       "      <td>1828724.697</td>\n",
       "      <td>2130527.480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>2021-02-09</td>\n",
       "      <td>1985303.372</td>\n",
       "      <td>1830695.433</td>\n",
       "      <td>2135547.652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385</th>\n",
       "      <td>2021-02-10</td>\n",
       "      <td>1993827.261</td>\n",
       "      <td>1831808.252</td>\n",
       "      <td>2146512.365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>2021-02-11</td>\n",
       "      <td>2002250.361</td>\n",
       "      <td>1851000.938</td>\n",
       "      <td>2160431.515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387</th>\n",
       "      <td>2021-02-12</td>\n",
       "      <td>2010546.231</td>\n",
       "      <td>1848291.458</td>\n",
       "      <td>2170801.062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>2021-02-13</td>\n",
       "      <td>2017984.320</td>\n",
       "      <td>1848353.385</td>\n",
       "      <td>2182554.198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389</th>\n",
       "      <td>2021-02-14</td>\n",
       "      <td>2024266.742</td>\n",
       "      <td>1857367.516</td>\n",
       "      <td>2190668.270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390</th>\n",
       "      <td>2021-02-15</td>\n",
       "      <td>2030070.170</td>\n",
       "      <td>1858063.309</td>\n",
       "      <td>2196614.496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>2021-02-16</td>\n",
       "      <td>2038339.855</td>\n",
       "      <td>1864021.084</td>\n",
       "      <td>2206526.280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>392</th>\n",
       "      <td>2021-02-17</td>\n",
       "      <td>2046863.744</td>\n",
       "      <td>1869128.127</td>\n",
       "      <td>2226369.802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>2021-02-18</td>\n",
       "      <td>2055286.844</td>\n",
       "      <td>1881989.655</td>\n",
       "      <td>2233449.146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>2021-02-19</td>\n",
       "      <td>2063582.714</td>\n",
       "      <td>1876370.203</td>\n",
       "      <td>2243624.394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>2021-02-20</td>\n",
       "      <td>2071020.803</td>\n",
       "      <td>1879183.761</td>\n",
       "      <td>2258284.938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>2021-02-21</td>\n",
       "      <td>2077303.225</td>\n",
       "      <td>1887501.001</td>\n",
       "      <td>2270209.366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>2021-02-22</td>\n",
       "      <td>2083106.653</td>\n",
       "      <td>1889254.103</td>\n",
       "      <td>2278312.188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>2021-02-23</td>\n",
       "      <td>2091376.338</td>\n",
       "      <td>1892052.795</td>\n",
       "      <td>2284410.422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>2021-02-24</td>\n",
       "      <td>2099900.227</td>\n",
       "      <td>1894613.951</td>\n",
       "      <td>2305086.381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>2021-02-25</td>\n",
       "      <td>2108323.327</td>\n",
       "      <td>1907384.353</td>\n",
       "      <td>2311182.894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401</th>\n",
       "      <td>2021-02-26</td>\n",
       "      <td>2116619.197</td>\n",
       "      <td>1910255.997</td>\n",
       "      <td>2323464.878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>402</th>\n",
       "      <td>2021-02-27</td>\n",
       "      <td>2124057.286</td>\n",
       "      <td>1919087.339</td>\n",
       "      <td>2333539.684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>403</th>\n",
       "      <td>2021-02-28</td>\n",
       "      <td>2130339.708</td>\n",
       "      <td>1911145.374</td>\n",
       "      <td>2341757.044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>404</th>\n",
       "      <td>2021-03-01</td>\n",
       "      <td>2136143.137</td>\n",
       "      <td>1921547.395</td>\n",
       "      <td>2355926.583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>405</th>\n",
       "      <td>2021-03-02</td>\n",
       "      <td>2144412.821</td>\n",
       "      <td>1917457.169</td>\n",
       "      <td>2362777.838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>406</th>\n",
       "      <td>2021-03-03</td>\n",
       "      <td>2152936.711</td>\n",
       "      <td>1928852.110</td>\n",
       "      <td>2378811.706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>407</th>\n",
       "      <td>2021-03-04</td>\n",
       "      <td>2161359.810</td>\n",
       "      <td>1930889.055</td>\n",
       "      <td>2392169.963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408</th>\n",
       "      <td>2021-03-05</td>\n",
       "      <td>2169655.680</td>\n",
       "      <td>1934685.386</td>\n",
       "      <td>2408399.285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409</th>\n",
       "      <td>2021-03-06</td>\n",
       "      <td>2177093.769</td>\n",
       "      <td>1944647.399</td>\n",
       "      <td>2412540.999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>2021-03-07</td>\n",
       "      <td>2183376.191</td>\n",
       "      <td>1941034.084</td>\n",
       "      <td>2424793.206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>2021-03-08</td>\n",
       "      <td>2189179.620</td>\n",
       "      <td>1943352.949</td>\n",
       "      <td>2433838.045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>2021-03-09</td>\n",
       "      <td>2197449.304</td>\n",
       "      <td>1943877.824</td>\n",
       "      <td>2449123.651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>2021-03-10</td>\n",
       "      <td>2205973.194</td>\n",
       "      <td>1956122.400</td>\n",
       "      <td>2459924.044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>2021-03-11</td>\n",
       "      <td>2214396.294</td>\n",
       "      <td>1944123.392</td>\n",
       "      <td>2467471.411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>415</th>\n",
       "      <td>2021-03-12</td>\n",
       "      <td>2222692.163</td>\n",
       "      <td>1960037.428</td>\n",
       "      <td>2473861.838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>2021-03-13</td>\n",
       "      <td>2230130.253</td>\n",
       "      <td>1955582.408</td>\n",
       "      <td>2502813.873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417</th>\n",
       "      <td>2021-03-14</td>\n",
       "      <td>2236412.674</td>\n",
       "      <td>1958466.396</td>\n",
       "      <td>2507663.116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>418</th>\n",
       "      <td>2021-03-15</td>\n",
       "      <td>2242216.103</td>\n",
       "      <td>1962070.605</td>\n",
       "      <td>2513578.970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>419</th>\n",
       "      <td>2021-03-16</td>\n",
       "      <td>2250485.787</td>\n",
       "      <td>1954235.516</td>\n",
       "      <td>2522030.963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>2021-03-17</td>\n",
       "      <td>2259009.677</td>\n",
       "      <td>1965913.691</td>\n",
       "      <td>2541555.111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>421</th>\n",
       "      <td>2021-03-18</td>\n",
       "      <td>2267432.777</td>\n",
       "      <td>1974869.706</td>\n",
       "      <td>2558059.642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>2021-03-19</td>\n",
       "      <td>2275728.646</td>\n",
       "      <td>1967615.534</td>\n",
       "      <td>2565366.907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>2021-03-20</td>\n",
       "      <td>2283166.736</td>\n",
       "      <td>1982129.565</td>\n",
       "      <td>2576254.251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>2021-03-21</td>\n",
       "      <td>2289449.157</td>\n",
       "      <td>1977292.209</td>\n",
       "      <td>2582785.937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>2021-03-22</td>\n",
       "      <td>2295252.586</td>\n",
       "      <td>1973725.496</td>\n",
       "      <td>2597589.456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>2021-03-23</td>\n",
       "      <td>2303522.270</td>\n",
       "      <td>1980603.781</td>\n",
       "      <td>2615239.534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427</th>\n",
       "      <td>2021-03-24</td>\n",
       "      <td>2312046.160</td>\n",
       "      <td>1996198.083</td>\n",
       "      <td>2631609.036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>2021-03-25</td>\n",
       "      <td>2320469.260</td>\n",
       "      <td>1989807.267</td>\n",
       "      <td>2632100.428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429</th>\n",
       "      <td>2021-03-26</td>\n",
       "      <td>2328765.130</td>\n",
       "      <td>1989687.176</td>\n",
       "      <td>2661819.323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>2021-03-27</td>\n",
       "      <td>2336203.219</td>\n",
       "      <td>1990223.605</td>\n",
       "      <td>2664160.821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>2021-03-28</td>\n",
       "      <td>2342485.640</td>\n",
       "      <td>1996385.855</td>\n",
       "      <td>2672896.694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>2021-03-29</td>\n",
       "      <td>2348289.069</td>\n",
       "      <td>1994311.684</td>\n",
       "      <td>2685927.491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>433</th>\n",
       "      <td>2021-03-30</td>\n",
       "      <td>2356558.753</td>\n",
       "      <td>2003009.346</td>\n",
       "      <td>2694767.793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>2365082.643</td>\n",
       "      <td>1993948.712</td>\n",
       "      <td>2706285.715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435</th>\n",
       "      <td>2021-04-01</td>\n",
       "      <td>2373505.743</td>\n",
       "      <td>2005503.280</td>\n",
       "      <td>2731239.983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>2021-04-02</td>\n",
       "      <td>2381801.613</td>\n",
       "      <td>2019130.508</td>\n",
       "      <td>2733757.507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437</th>\n",
       "      <td>2021-04-03</td>\n",
       "      <td>2389239.702</td>\n",
       "      <td>2007980.615</td>\n",
       "      <td>2746308.892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>2021-04-04</td>\n",
       "      <td>2395522.123</td>\n",
       "      <td>2018977.852</td>\n",
       "      <td>2755352.656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>439</th>\n",
       "      <td>2021-04-05</td>\n",
       "      <td>2401325.552</td>\n",
       "      <td>2019621.599</td>\n",
       "      <td>2764262.364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>2021-04-06</td>\n",
       "      <td>2409595.236</td>\n",
       "      <td>2013587.327</td>\n",
       "      <td>2773764.087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441</th>\n",
       "      <td>2021-04-07</td>\n",
       "      <td>2418119.126</td>\n",
       "      <td>2023501.047</td>\n",
       "      <td>2785938.829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>2021-04-08</td>\n",
       "      <td>2426542.226</td>\n",
       "      <td>2033956.433</td>\n",
       "      <td>2804622.024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>443</th>\n",
       "      <td>2021-04-09</td>\n",
       "      <td>2434838.096</td>\n",
       "      <td>2036481.667</td>\n",
       "      <td>2818483.209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>2021-04-10</td>\n",
       "      <td>2442276.185</td>\n",
       "      <td>2038251.866</td>\n",
       "      <td>2830104.126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445</th>\n",
       "      <td>2021-04-11</td>\n",
       "      <td>2448558.606</td>\n",
       "      <td>2029909.920</td>\n",
       "      <td>2833232.758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>446</th>\n",
       "      <td>2021-04-12</td>\n",
       "      <td>2454362.035</td>\n",
       "      <td>2043997.405</td>\n",
       "      <td>2846373.334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>447</th>\n",
       "      <td>2021-04-13</td>\n",
       "      <td>2462631.720</td>\n",
       "      <td>2055010.706</td>\n",
       "      <td>2856432.828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448</th>\n",
       "      <td>2021-04-14</td>\n",
       "      <td>2471155.609</td>\n",
       "      <td>2051905.576</td>\n",
       "      <td>2859597.225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>2021-04-15</td>\n",
       "      <td>2479578.709</td>\n",
       "      <td>2053143.905</td>\n",
       "      <td>2883164.464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>2021-04-16</td>\n",
       "      <td>2487874.579</td>\n",
       "      <td>2067074.003</td>\n",
       "      <td>2904528.754</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            ds        yhat  yhat_lower  yhat_upper\n",
       "311 2020-11-28 1434583.006 1415974.344 1453991.840\n",
       "312 2020-11-29 1440865.428 1420864.644 1460728.601\n",
       "313 2020-11-30 1446668.856 1427735.400 1465936.183\n",
       "314 2020-12-01 1454938.541 1435968.522 1473943.127\n",
       "315 2020-12-02 1463462.430 1444423.483 1484069.463\n",
       "316 2020-12-03 1471885.530 1452334.378 1491087.169\n",
       "317 2020-12-04 1480181.400 1460661.568 1497235.351\n",
       "318 2020-12-05 1487619.489 1468862.482 1505241.625\n",
       "319 2020-12-06 1493901.911 1475769.666 1514229.517\n",
       "320 2020-12-07 1499705.339 1480839.968 1519206.201\n",
       "321 2020-12-08 1507975.024 1490597.190 1529284.832\n",
       "322 2020-12-09 1516498.913 1497702.780 1534869.527\n",
       "323 2020-12-10 1524922.013 1507448.531 1542065.473\n",
       "324 2020-12-11 1533217.883 1514760.502 1551594.455\n",
       "325 2020-12-12 1540655.972 1520569.566 1559225.394\n",
       "326 2020-12-13 1546938.394 1529293.625 1565613.245\n",
       "327 2020-12-14 1552741.823 1533640.726 1572740.731\n",
       "328 2020-12-15 1561011.507 1540642.718 1581628.443\n",
       "329 2020-12-16 1569535.397 1550613.569 1591602.392\n",
       "330 2020-12-17 1577958.496 1559101.181 1599284.621\n",
       "331 2020-12-18 1586254.366 1565058.447 1607860.943\n",
       "332 2020-12-19 1593692.455 1569867.712 1615780.271\n",
       "333 2020-12-20 1599974.877 1576714.258 1621830.250\n",
       "334 2020-12-21 1605778.306 1580229.843 1631393.200\n",
       "335 2020-12-22 1614047.990 1589784.577 1639241.838\n",
       "336 2020-12-23 1622571.880 1594022.699 1649346.896\n",
       "337 2020-12-24 1630994.980 1601519.800 1661105.606\n",
       "338 2020-12-25 1639290.849 1610288.559 1670718.295\n",
       "339 2020-12-26 1646728.939 1616700.812 1679487.321\n",
       "340 2020-12-27 1653011.360 1622259.736 1687131.030\n",
       "341 2020-12-28 1658814.789 1625709.082 1697105.836\n",
       "342 2020-12-29 1667084.473 1632466.643 1704075.059\n",
       "343 2020-12-30 1675608.363 1636656.497 1716383.304\n",
       "344 2020-12-31 1684031.463 1643296.947 1726971.246\n",
       "345 2021-01-01 1692327.332 1649739.532 1734973.639\n",
       "346 2021-01-02 1699765.422 1653650.206 1746065.197\n",
       "347 2021-01-03 1706047.843 1658106.979 1755053.846\n",
       "348 2021-01-04 1711851.272 1662785.107 1767361.976\n",
       "349 2021-01-05 1720120.956 1668085.839 1770864.171\n",
       "350 2021-01-06 1728644.846 1677441.963 1782268.199\n",
       "351 2021-01-07 1737067.946 1681632.898 1794903.956\n",
       "352 2021-01-08 1745363.816 1683416.558 1806984.658\n",
       "353 2021-01-09 1752801.905 1693037.198 1811891.565\n",
       "354 2021-01-10 1759084.326 1694162.579 1824721.026\n",
       "355 2021-01-11 1764887.755 1696738.728 1835161.912\n",
       "356 2021-01-12 1773157.439 1700578.384 1842540.490\n",
       "357 2021-01-13 1781681.329 1708653.085 1854941.191\n",
       "358 2021-01-14 1790104.429 1714338.570 1863537.326\n",
       "359 2021-01-15 1798400.299 1717939.543 1875408.952\n",
       "360 2021-01-16 1805838.388 1726057.992 1889904.077\n",
       "361 2021-01-17 1812120.809 1730725.529 1891263.026\n",
       "362 2021-01-18 1817924.238 1735576.304 1901867.360\n",
       "363 2021-01-19 1826193.922 1739026.286 1913580.341\n",
       "364 2021-01-20 1834717.812 1740874.761 1926092.929\n",
       "365 2021-01-21 1843140.912 1745086.890 1942037.220\n",
       "366 2021-01-22 1851436.782 1754868.221 1949811.391\n",
       "367 2021-01-23 1858874.871 1759147.777 1955910.630\n",
       "368 2021-01-24 1865157.292 1761514.777 1967456.706\n",
       "369 2021-01-25 1870960.721 1763652.705 1978221.628\n",
       "370 2021-01-26 1879230.406 1772575.878 1992005.971\n",
       "371 2021-01-27 1887754.295 1780499.849 2001929.486\n",
       "372 2021-01-28 1896177.395 1781368.187 2008410.235\n",
       "373 2021-01-29 1904473.265 1784954.434 2022817.572\n",
       "374 2021-01-30 1911911.354 1786995.292 2026442.559\n",
       "375 2021-01-31 1918193.775 1796123.908 2040031.226\n",
       "376 2021-02-01 1923997.204 1800132.018 2050774.642\n",
       "377 2021-02-02 1932266.889 1803641.026 2058207.915\n",
       "378 2021-02-03 1940790.778 1805688.777 2070991.863\n",
       "379 2021-02-04 1949213.878 1817672.033 2079317.787\n",
       "380 2021-02-05 1957509.748 1821081.656 2100508.171\n",
       "381 2021-02-06 1964947.837 1822450.287 2099480.244\n",
       "382 2021-02-07 1971230.259 1824144.750 2122027.754\n",
       "383 2021-02-08 1977033.687 1828724.697 2130527.480\n",
       "384 2021-02-09 1985303.372 1830695.433 2135547.652\n",
       "385 2021-02-10 1993827.261 1831808.252 2146512.365\n",
       "386 2021-02-11 2002250.361 1851000.938 2160431.515\n",
       "387 2021-02-12 2010546.231 1848291.458 2170801.062\n",
       "388 2021-02-13 2017984.320 1848353.385 2182554.198\n",
       "389 2021-02-14 2024266.742 1857367.516 2190668.270\n",
       "390 2021-02-15 2030070.170 1858063.309 2196614.496\n",
       "391 2021-02-16 2038339.855 1864021.084 2206526.280\n",
       "392 2021-02-17 2046863.744 1869128.127 2226369.802\n",
       "393 2021-02-18 2055286.844 1881989.655 2233449.146\n",
       "394 2021-02-19 2063582.714 1876370.203 2243624.394\n",
       "395 2021-02-20 2071020.803 1879183.761 2258284.938\n",
       "396 2021-02-21 2077303.225 1887501.001 2270209.366\n",
       "397 2021-02-22 2083106.653 1889254.103 2278312.188\n",
       "398 2021-02-23 2091376.338 1892052.795 2284410.422\n",
       "399 2021-02-24 2099900.227 1894613.951 2305086.381\n",
       "400 2021-02-25 2108323.327 1907384.353 2311182.894\n",
       "401 2021-02-26 2116619.197 1910255.997 2323464.878\n",
       "402 2021-02-27 2124057.286 1919087.339 2333539.684\n",
       "403 2021-02-28 2130339.708 1911145.374 2341757.044\n",
       "404 2021-03-01 2136143.137 1921547.395 2355926.583\n",
       "405 2021-03-02 2144412.821 1917457.169 2362777.838\n",
       "406 2021-03-03 2152936.711 1928852.110 2378811.706\n",
       "407 2021-03-04 2161359.810 1930889.055 2392169.963\n",
       "408 2021-03-05 2169655.680 1934685.386 2408399.285\n",
       "409 2021-03-06 2177093.769 1944647.399 2412540.999\n",
       "410 2021-03-07 2183376.191 1941034.084 2424793.206\n",
       "411 2021-03-08 2189179.620 1943352.949 2433838.045\n",
       "412 2021-03-09 2197449.304 1943877.824 2449123.651\n",
       "413 2021-03-10 2205973.194 1956122.400 2459924.044\n",
       "414 2021-03-11 2214396.294 1944123.392 2467471.411\n",
       "415 2021-03-12 2222692.163 1960037.428 2473861.838\n",
       "416 2021-03-13 2230130.253 1955582.408 2502813.873\n",
       "417 2021-03-14 2236412.674 1958466.396 2507663.116\n",
       "418 2021-03-15 2242216.103 1962070.605 2513578.970\n",
       "419 2021-03-16 2250485.787 1954235.516 2522030.963\n",
       "420 2021-03-17 2259009.677 1965913.691 2541555.111\n",
       "421 2021-03-18 2267432.777 1974869.706 2558059.642\n",
       "422 2021-03-19 2275728.646 1967615.534 2565366.907\n",
       "423 2021-03-20 2283166.736 1982129.565 2576254.251\n",
       "424 2021-03-21 2289449.157 1977292.209 2582785.937\n",
       "425 2021-03-22 2295252.586 1973725.496 2597589.456\n",
       "426 2021-03-23 2303522.270 1980603.781 2615239.534\n",
       "427 2021-03-24 2312046.160 1996198.083 2631609.036\n",
       "428 2021-03-25 2320469.260 1989807.267 2632100.428\n",
       "429 2021-03-26 2328765.130 1989687.176 2661819.323\n",
       "430 2021-03-27 2336203.219 1990223.605 2664160.821\n",
       "431 2021-03-28 2342485.640 1996385.855 2672896.694\n",
       "432 2021-03-29 2348289.069 1994311.684 2685927.491\n",
       "433 2021-03-30 2356558.753 2003009.346 2694767.793\n",
       "434 2021-03-31 2365082.643 1993948.712 2706285.715\n",
       "435 2021-04-01 2373505.743 2005503.280 2731239.983\n",
       "436 2021-04-02 2381801.613 2019130.508 2733757.507\n",
       "437 2021-04-03 2389239.702 2007980.615 2746308.892\n",
       "438 2021-04-04 2395522.123 2018977.852 2755352.656\n",
       "439 2021-04-05 2401325.552 2019621.599 2764262.364\n",
       "440 2021-04-06 2409595.236 2013587.327 2773764.087\n",
       "441 2021-04-07 2418119.126 2023501.047 2785938.829\n",
       "442 2021-04-08 2426542.226 2033956.433 2804622.024\n",
       "443 2021-04-09 2434838.096 2036481.667 2818483.209\n",
       "444 2021-04-10 2442276.185 2038251.866 2830104.126\n",
       "445 2021-04-11 2448558.606 2029909.920 2833232.758\n",
       "446 2021-04-12 2454362.035 2043997.405 2846373.334\n",
       "447 2021-04-13 2462631.720 2055010.706 2856432.828\n",
       "448 2021-04-14 2471155.609 2051905.576 2859597.225\n",
       "449 2021-04-15 2479578.709 2053143.905 2883164.464\n",
       "450 2021-04-16 2487874.579 2067074.003 2904528.754"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "forecast = m.predict(future)\n",
    "forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']].tail(140)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 441
    },
    "colab_type": "code",
    "id": "uKVaQnPebdJc",
    "outputId": "996a6a6d-949a-41b9-9f2e-462a3c9de99a"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "deaths_forecast_plot = m.plot(forecast)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 441
    },
    "colab_type": "code",
    "id": "DB9Qq43peepR",
    "outputId": "7f4ef810-6ae9-465d-9e2f-6071cd6ecca1"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "deaths_forecast_plot = m.plot_components(forecast)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "BEo4E8R8dy0_"
   },
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Z1keUssrdvYN"
   },
   "outputs": [],
   "source": [
    "recovered.columns = ['ds','y']\n",
    "recovered['ds'] = pd.to_datetime(recovered['ds'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 238
    },
    "colab_type": "code",
    "id": "EaggMuv7d-1D",
    "outputId": "aa583d01-7da1-483a-9d9e-c752a8b7f3d9"
   },
   "outputs": [],
   "source": [
    "m = Prophet(interval_width=0.95)\n",
    "m.fit(recovered)\n",
    "future = m.make_future_dataframe(periods=131)\n",
    "future.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 204
    },
    "colab_type": "code",
    "id": "QwTHSHVheAYS",
    "outputId": "672c665e-45b0-4319-e2a3-3752ecbf91ff"
   },
   "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></th>\n",
       "      <th>ds</th>\n",
       "      <th>yhat</th>\n",
       "      <th>yhat_lower</th>\n",
       "      <th>yhat_upper</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>2020-11-28</td>\n",
       "      <td>39320894.421</td>\n",
       "      <td>38674340.372</td>\n",
       "      <td>39901404.831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>2020-11-29</td>\n",
       "      <td>39586938.086</td>\n",
       "      <td>38975869.883</td>\n",
       "      <td>40180559.109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>2020-11-30</td>\n",
       "      <td>39831782.746</td>\n",
       "      <td>39228489.052</td>\n",
       "      <td>40462881.393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>2020-12-01</td>\n",
       "      <td>40126739.173</td>\n",
       "      <td>39535613.834</td>\n",
       "      <td>40757971.215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>2020-12-02</td>\n",
       "      <td>40425351.785</td>\n",
       "      <td>39808512.679</td>\n",
       "      <td>41010585.878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>2020-12-03</td>\n",
       "      <td>40707452.804</td>\n",
       "      <td>40131573.233</td>\n",
       "      <td>41322530.163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>2020-12-04</td>\n",
       "      <td>40975724.751</td>\n",
       "      <td>40342644.959</td>\n",
       "      <td>41598468.891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>2020-12-05</td>\n",
       "      <td>41279094.861</td>\n",
       "      <td>40648688.626</td>\n",
       "      <td>41908643.929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>2020-12-06</td>\n",
       "      <td>41545138.527</td>\n",
       "      <td>40921624.264</td>\n",
       "      <td>42184845.592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>2020-12-07</td>\n",
       "      <td>41789983.187</td>\n",
       "      <td>41199291.050</td>\n",
       "      <td>42399688.815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>2020-12-08</td>\n",
       "      <td>42084939.614</td>\n",
       "      <td>41493655.013</td>\n",
       "      <td>42699954.026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>2020-12-09</td>\n",
       "      <td>42383552.226</td>\n",
       "      <td>41801893.914</td>\n",
       "      <td>43007091.153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>2020-12-10</td>\n",
       "      <td>42665653.245</td>\n",
       "      <td>42065015.334</td>\n",
       "      <td>43253186.759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>2020-12-11</td>\n",
       "      <td>42933925.192</td>\n",
       "      <td>42326136.701</td>\n",
       "      <td>43529760.392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>2020-12-12</td>\n",
       "      <td>43237295.302</td>\n",
       "      <td>42624333.486</td>\n",
       "      <td>43822628.993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>2020-12-13</td>\n",
       "      <td>43503338.967</td>\n",
       "      <td>42896058.407</td>\n",
       "      <td>44137996.775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>2020-12-14</td>\n",
       "      <td>43748183.628</td>\n",
       "      <td>43116835.560</td>\n",
       "      <td>44353694.663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>2020-12-15</td>\n",
       "      <td>44043140.055</td>\n",
       "      <td>43388301.679</td>\n",
       "      <td>44630809.643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>2020-12-16</td>\n",
       "      <td>44341752.667</td>\n",
       "      <td>43726124.368</td>\n",
       "      <td>45009822.891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>2020-12-17</td>\n",
       "      <td>44623853.685</td>\n",
       "      <td>43969496.357</td>\n",
       "      <td>45201826.040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>2020-12-18</td>\n",
       "      <td>44892125.633</td>\n",
       "      <td>44238177.925</td>\n",
       "      <td>45475328.861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>2020-12-19</td>\n",
       "      <td>45195495.743</td>\n",
       "      <td>44567915.589</td>\n",
       "      <td>45873124.097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>2020-12-20</td>\n",
       "      <td>45461539.408</td>\n",
       "      <td>44789382.709</td>\n",
       "      <td>46162744.011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>2020-12-21</td>\n",
       "      <td>45706384.069</td>\n",
       "      <td>45010128.944</td>\n",
       "      <td>46405536.684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>2020-12-22</td>\n",
       "      <td>46001340.496</td>\n",
       "      <td>45259621.825</td>\n",
       "      <td>46702209.468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>2020-12-23</td>\n",
       "      <td>46299953.108</td>\n",
       "      <td>45569542.216</td>\n",
       "      <td>46954712.114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>2020-12-24</td>\n",
       "      <td>46582054.126</td>\n",
       "      <td>45855709.500</td>\n",
       "      <td>47327482.094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>2020-12-25</td>\n",
       "      <td>46850326.073</td>\n",
       "      <td>46027617.277</td>\n",
       "      <td>47615802.356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>2020-12-26</td>\n",
       "      <td>47153696.184</td>\n",
       "      <td>46270450.021</td>\n",
       "      <td>47954831.163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>2020-12-27</td>\n",
       "      <td>47419739.849</td>\n",
       "      <td>46583531.761</td>\n",
       "      <td>48245193.697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>2020-12-28</td>\n",
       "      <td>47664584.509</td>\n",
       "      <td>46822507.475</td>\n",
       "      <td>48559438.263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>2020-12-29</td>\n",
       "      <td>47959540.936</td>\n",
       "      <td>47166308.164</td>\n",
       "      <td>48821086.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>2020-12-30</td>\n",
       "      <td>48258153.548</td>\n",
       "      <td>47331012.824</td>\n",
       "      <td>49192742.480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>2020-12-31</td>\n",
       "      <td>48540254.567</td>\n",
       "      <td>47522527.998</td>\n",
       "      <td>49475005.397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>48808526.514</td>\n",
       "      <td>47849571.717</td>\n",
       "      <td>49755333.417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>2021-01-02</td>\n",
       "      <td>49111896.624</td>\n",
       "      <td>48170736.664</td>\n",
       "      <td>50127226.558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>2021-01-03</td>\n",
       "      <td>49377940.290</td>\n",
       "      <td>48376685.289</td>\n",
       "      <td>50488348.301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>2021-01-04</td>\n",
       "      <td>49622784.950</td>\n",
       "      <td>48534779.027</td>\n",
       "      <td>50715787.738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>2021-01-05</td>\n",
       "      <td>49917741.377</td>\n",
       "      <td>48653411.736</td>\n",
       "      <td>51099345.176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>2021-01-06</td>\n",
       "      <td>50216353.989</td>\n",
       "      <td>49107298.400</td>\n",
       "      <td>51427869.418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>2021-01-07</td>\n",
       "      <td>50498455.008</td>\n",
       "      <td>49304222.940</td>\n",
       "      <td>51772503.296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>2021-01-08</td>\n",
       "      <td>50766726.955</td>\n",
       "      <td>49471321.785</td>\n",
       "      <td>52046808.281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>2021-01-09</td>\n",
       "      <td>51070097.065</td>\n",
       "      <td>49853945.606</td>\n",
       "      <td>52404652.015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>2021-01-10</td>\n",
       "      <td>51336140.730</td>\n",
       "      <td>50004216.201</td>\n",
       "      <td>52799525.413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>2021-01-11</td>\n",
       "      <td>51580985.391</td>\n",
       "      <td>50236235.487</td>\n",
       "      <td>53100618.714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>2021-01-12</td>\n",
       "      <td>51875941.818</td>\n",
       "      <td>50531224.536</td>\n",
       "      <td>53296288.963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>2021-01-13</td>\n",
       "      <td>52174554.430</td>\n",
       "      <td>50619880.334</td>\n",
       "      <td>53712069.993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>2021-01-14</td>\n",
       "      <td>52456655.448</td>\n",
       "      <td>50887944.290</td>\n",
       "      <td>53970639.827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>2021-01-15</td>\n",
       "      <td>52724927.396</td>\n",
       "      <td>51084925.477</td>\n",
       "      <td>54288858.107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>2021-01-16</td>\n",
       "      <td>53028297.506</td>\n",
       "      <td>51365859.729</td>\n",
       "      <td>54804867.208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361</th>\n",
       "      <td>2021-01-17</td>\n",
       "      <td>53294341.171</td>\n",
       "      <td>51685667.173</td>\n",
       "      <td>55023550.468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>2021-01-18</td>\n",
       "      <td>53539185.832</td>\n",
       "      <td>51770858.823</td>\n",
       "      <td>55309689.901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>2021-01-19</td>\n",
       "      <td>53834142.259</td>\n",
       "      <td>52149075.858</td>\n",
       "      <td>55603441.820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>2021-01-20</td>\n",
       "      <td>54132754.871</td>\n",
       "      <td>52326129.132</td>\n",
       "      <td>56036517.203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>2021-01-21</td>\n",
       "      <td>54414855.889</td>\n",
       "      <td>52607823.712</td>\n",
       "      <td>56244392.540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>366</th>\n",
       "      <td>2021-01-22</td>\n",
       "      <td>54683127.836</td>\n",
       "      <td>52856227.377</td>\n",
       "      <td>56789422.420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367</th>\n",
       "      <td>2021-01-23</td>\n",
       "      <td>54986497.947</td>\n",
       "      <td>53030846.793</td>\n",
       "      <td>56988180.193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>368</th>\n",
       "      <td>2021-01-24</td>\n",
       "      <td>55252541.612</td>\n",
       "      <td>53201573.860</td>\n",
       "      <td>57258730.213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>369</th>\n",
       "      <td>2021-01-25</td>\n",
       "      <td>55497386.272</td>\n",
       "      <td>53416953.255</td>\n",
       "      <td>57624923.635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>2021-01-26</td>\n",
       "      <td>55792342.699</td>\n",
       "      <td>53622700.306</td>\n",
       "      <td>58070271.373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>371</th>\n",
       "      <td>2021-01-27</td>\n",
       "      <td>56090955.311</td>\n",
       "      <td>53974417.022</td>\n",
       "      <td>58228083.702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>2021-01-28</td>\n",
       "      <td>56373056.330</td>\n",
       "      <td>54115750.907</td>\n",
       "      <td>58670860.851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>373</th>\n",
       "      <td>2021-01-29</td>\n",
       "      <td>56641328.277</td>\n",
       "      <td>54249585.834</td>\n",
       "      <td>59017764.695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>374</th>\n",
       "      <td>2021-01-30</td>\n",
       "      <td>56944698.387</td>\n",
       "      <td>54621406.334</td>\n",
       "      <td>59317911.535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>2021-01-31</td>\n",
       "      <td>57210742.053</td>\n",
       "      <td>54859807.822</td>\n",
       "      <td>59684987.378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>2021-02-01</td>\n",
       "      <td>57455586.713</td>\n",
       "      <td>54872392.146</td>\n",
       "      <td>59926108.905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377</th>\n",
       "      <td>2021-02-02</td>\n",
       "      <td>57750543.140</td>\n",
       "      <td>55216186.885</td>\n",
       "      <td>60282783.755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378</th>\n",
       "      <td>2021-02-03</td>\n",
       "      <td>58049155.752</td>\n",
       "      <td>55513729.478</td>\n",
       "      <td>60749641.429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379</th>\n",
       "      <td>2021-02-04</td>\n",
       "      <td>58331256.771</td>\n",
       "      <td>55614501.189</td>\n",
       "      <td>61036203.117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>2021-02-05</td>\n",
       "      <td>58599528.718</td>\n",
       "      <td>55958375.070</td>\n",
       "      <td>61535859.677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>381</th>\n",
       "      <td>2021-02-06</td>\n",
       "      <td>58902898.828</td>\n",
       "      <td>56155471.320</td>\n",
       "      <td>61792668.872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>2021-02-07</td>\n",
       "      <td>59168942.493</td>\n",
       "      <td>56313900.474</td>\n",
       "      <td>61986866.117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>2021-02-08</td>\n",
       "      <td>59413787.154</td>\n",
       "      <td>56456541.802</td>\n",
       "      <td>62275278.130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>2021-02-09</td>\n",
       "      <td>59708743.581</td>\n",
       "      <td>56747479.346</td>\n",
       "      <td>62859181.489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385</th>\n",
       "      <td>2021-02-10</td>\n",
       "      <td>60007356.193</td>\n",
       "      <td>56983829.541</td>\n",
       "      <td>63201361.830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>2021-02-11</td>\n",
       "      <td>60289457.211</td>\n",
       "      <td>57152056.711</td>\n",
       "      <td>63392315.576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387</th>\n",
       "      <td>2021-02-12</td>\n",
       "      <td>60557729.159</td>\n",
       "      <td>57315557.210</td>\n",
       "      <td>63871092.827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>2021-02-13</td>\n",
       "      <td>60861099.269</td>\n",
       "      <td>57715127.244</td>\n",
       "      <td>64072901.464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389</th>\n",
       "      <td>2021-02-14</td>\n",
       "      <td>61127142.934</td>\n",
       "      <td>57610860.884</td>\n",
       "      <td>64473956.823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390</th>\n",
       "      <td>2021-02-15</td>\n",
       "      <td>61371987.595</td>\n",
       "      <td>58160261.276</td>\n",
       "      <td>64944428.695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>2021-02-16</td>\n",
       "      <td>61666944.022</td>\n",
       "      <td>58062642.479</td>\n",
       "      <td>65244821.615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>392</th>\n",
       "      <td>2021-02-17</td>\n",
       "      <td>61965556.634</td>\n",
       "      <td>58507603.685</td>\n",
       "      <td>65555284.688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>2021-02-18</td>\n",
       "      <td>62247657.652</td>\n",
       "      <td>58612840.042</td>\n",
       "      <td>66000532.972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>2021-02-19</td>\n",
       "      <td>62515929.599</td>\n",
       "      <td>59003513.798</td>\n",
       "      <td>66253892.345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>2021-02-20</td>\n",
       "      <td>62819299.710</td>\n",
       "      <td>59205924.045</td>\n",
       "      <td>66586785.560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>2021-02-21</td>\n",
       "      <td>63085343.375</td>\n",
       "      <td>59354620.219</td>\n",
       "      <td>66947491.268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>2021-02-22</td>\n",
       "      <td>63330188.035</td>\n",
       "      <td>59482772.995</td>\n",
       "      <td>67320166.128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>2021-02-23</td>\n",
       "      <td>63625144.462</td>\n",
       "      <td>59720950.447</td>\n",
       "      <td>67679912.777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>2021-02-24</td>\n",
       "      <td>63923757.074</td>\n",
       "      <td>60128120.572</td>\n",
       "      <td>68139463.568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>2021-02-25</td>\n",
       "      <td>64205858.093</td>\n",
       "      <td>60208412.461</td>\n",
       "      <td>68434215.067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401</th>\n",
       "      <td>2021-02-26</td>\n",
       "      <td>64474130.040</td>\n",
       "      <td>60310016.655</td>\n",
       "      <td>68707739.360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>402</th>\n",
       "      <td>2021-02-27</td>\n",
       "      <td>64777500.150</td>\n",
       "      <td>60595666.957</td>\n",
       "      <td>69053678.220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>403</th>\n",
       "      <td>2021-02-28</td>\n",
       "      <td>65043543.816</td>\n",
       "      <td>60752117.503</td>\n",
       "      <td>69417286.644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>404</th>\n",
       "      <td>2021-03-01</td>\n",
       "      <td>65288388.476</td>\n",
       "      <td>61046992.743</td>\n",
       "      <td>69799281.643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>405</th>\n",
       "      <td>2021-03-02</td>\n",
       "      <td>65583344.903</td>\n",
       "      <td>61214406.112</td>\n",
       "      <td>70316817.527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>406</th>\n",
       "      <td>2021-03-03</td>\n",
       "      <td>65881957.515</td>\n",
       "      <td>61598085.580</td>\n",
       "      <td>70731756.190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>407</th>\n",
       "      <td>2021-03-04</td>\n",
       "      <td>66164058.534</td>\n",
       "      <td>61698266.746</td>\n",
       "      <td>70880113.802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408</th>\n",
       "      <td>2021-03-05</td>\n",
       "      <td>66432330.481</td>\n",
       "      <td>61953849.431</td>\n",
       "      <td>71245551.633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409</th>\n",
       "      <td>2021-03-06</td>\n",
       "      <td>66735700.591</td>\n",
       "      <td>62249255.521</td>\n",
       "      <td>71789627.594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>2021-03-07</td>\n",
       "      <td>67001744.256</td>\n",
       "      <td>62289366.680</td>\n",
       "      <td>71895726.466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>2021-03-08</td>\n",
       "      <td>67246588.917</td>\n",
       "      <td>62511005.341</td>\n",
       "      <td>72269615.906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>2021-03-09</td>\n",
       "      <td>67541545.344</td>\n",
       "      <td>62842546.032</td>\n",
       "      <td>72581768.082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>2021-03-10</td>\n",
       "      <td>67840157.956</td>\n",
       "      <td>63030292.763</td>\n",
       "      <td>73206758.451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>2021-03-11</td>\n",
       "      <td>68122258.974</td>\n",
       "      <td>63190514.969</td>\n",
       "      <td>73417941.800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>415</th>\n",
       "      <td>2021-03-12</td>\n",
       "      <td>68390530.922</td>\n",
       "      <td>63427012.633</td>\n",
       "      <td>73763905.285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>2021-03-13</td>\n",
       "      <td>68693901.032</td>\n",
       "      <td>63634284.363</td>\n",
       "      <td>74156623.874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417</th>\n",
       "      <td>2021-03-14</td>\n",
       "      <td>68959944.697</td>\n",
       "      <td>63869681.588</td>\n",
       "      <td>74650162.669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>418</th>\n",
       "      <td>2021-03-15</td>\n",
       "      <td>69204789.358</td>\n",
       "      <td>64041298.119</td>\n",
       "      <td>74955395.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>419</th>\n",
       "      <td>2021-03-16</td>\n",
       "      <td>69499745.785</td>\n",
       "      <td>64119139.964</td>\n",
       "      <td>75342477.011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>2021-03-17</td>\n",
       "      <td>69798358.397</td>\n",
       "      <td>64364912.692</td>\n",
       "      <td>75591221.199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>421</th>\n",
       "      <td>2021-03-18</td>\n",
       "      <td>70080459.415</td>\n",
       "      <td>64669359.103</td>\n",
       "      <td>76107286.475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>2021-03-19</td>\n",
       "      <td>70348731.362</td>\n",
       "      <td>64883491.711</td>\n",
       "      <td>76531344.725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>2021-03-20</td>\n",
       "      <td>70652101.473</td>\n",
       "      <td>65242269.545</td>\n",
       "      <td>76851847.335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>2021-03-21</td>\n",
       "      <td>70918145.138</td>\n",
       "      <td>65099077.339</td>\n",
       "      <td>77145917.442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>2021-03-22</td>\n",
       "      <td>71162989.798</td>\n",
       "      <td>65405827.088</td>\n",
       "      <td>77466997.525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>2021-03-23</td>\n",
       "      <td>71457946.225</td>\n",
       "      <td>65483236.686</td>\n",
       "      <td>77838674.040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427</th>\n",
       "      <td>2021-03-24</td>\n",
       "      <td>71756558.837</td>\n",
       "      <td>65741107.726</td>\n",
       "      <td>78282019.663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>2021-03-25</td>\n",
       "      <td>72038659.856</td>\n",
       "      <td>65805208.444</td>\n",
       "      <td>78766152.911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429</th>\n",
       "      <td>2021-03-26</td>\n",
       "      <td>72306931.803</td>\n",
       "      <td>66156981.664</td>\n",
       "      <td>79054413.174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>2021-03-27</td>\n",
       "      <td>72610301.913</td>\n",
       "      <td>66541134.845</td>\n",
       "      <td>79359444.043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>2021-03-28</td>\n",
       "      <td>72876345.579</td>\n",
       "      <td>66561305.335</td>\n",
       "      <td>79829493.150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>2021-03-29</td>\n",
       "      <td>73121190.239</td>\n",
       "      <td>66574380.970</td>\n",
       "      <td>80113693.756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>433</th>\n",
       "      <td>2021-03-30</td>\n",
       "      <td>73416146.666</td>\n",
       "      <td>66931158.585</td>\n",
       "      <td>80582439.027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>73714759.278</td>\n",
       "      <td>67015099.431</td>\n",
       "      <td>80831485.352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435</th>\n",
       "      <td>2021-04-01</td>\n",
       "      <td>73996860.297</td>\n",
       "      <td>67455144.301</td>\n",
       "      <td>81047843.263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>2021-04-02</td>\n",
       "      <td>74265132.244</td>\n",
       "      <td>67489488.310</td>\n",
       "      <td>81652622.197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437</th>\n",
       "      <td>2021-04-03</td>\n",
       "      <td>74568502.354</td>\n",
       "      <td>67826889.403</td>\n",
       "      <td>82130836.022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>2021-04-04</td>\n",
       "      <td>74834546.019</td>\n",
       "      <td>67891047.986</td>\n",
       "      <td>82362434.628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>439</th>\n",
       "      <td>2021-04-05</td>\n",
       "      <td>75079390.680</td>\n",
       "      <td>67964837.914</td>\n",
       "      <td>82828420.179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>2021-04-06</td>\n",
       "      <td>75374347.107</td>\n",
       "      <td>68394448.413</td>\n",
       "      <td>83070882.014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441</th>\n",
       "      <td>2021-04-07</td>\n",
       "      <td>75672959.719</td>\n",
       "      <td>68314585.696</td>\n",
       "      <td>83553133.565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>2021-04-08</td>\n",
       "      <td>75955060.737</td>\n",
       "      <td>68599442.385</td>\n",
       "      <td>83817767.384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>443</th>\n",
       "      <td>2021-04-09</td>\n",
       "      <td>76223332.685</td>\n",
       "      <td>68727942.629</td>\n",
       "      <td>84243668.021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>2021-04-10</td>\n",
       "      <td>76526702.795</td>\n",
       "      <td>69126348.921</td>\n",
       "      <td>84474453.687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445</th>\n",
       "      <td>2021-04-11</td>\n",
       "      <td>76792746.460</td>\n",
       "      <td>69266937.035</td>\n",
       "      <td>85100663.691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>446</th>\n",
       "      <td>2021-04-12</td>\n",
       "      <td>77037591.121</td>\n",
       "      <td>69470019.990</td>\n",
       "      <td>85589388.150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>447</th>\n",
       "      <td>2021-04-13</td>\n",
       "      <td>77332547.548</td>\n",
       "      <td>69613364.156</td>\n",
       "      <td>85669900.559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448</th>\n",
       "      <td>2021-04-14</td>\n",
       "      <td>77631160.160</td>\n",
       "      <td>69959156.554</td>\n",
       "      <td>86199027.588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>2021-04-15</td>\n",
       "      <td>77913261.178</td>\n",
       "      <td>69900254.295</td>\n",
       "      <td>86856415.572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>2021-04-16</td>\n",
       "      <td>78181533.125</td>\n",
       "      <td>70265927.403</td>\n",
       "      <td>86886811.971</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            ds         yhat   yhat_lower   yhat_upper\n",
       "311 2020-11-28 39320894.421 38674340.372 39901404.831\n",
       "312 2020-11-29 39586938.086 38975869.883 40180559.109\n",
       "313 2020-11-30 39831782.746 39228489.052 40462881.393\n",
       "314 2020-12-01 40126739.173 39535613.834 40757971.215\n",
       "315 2020-12-02 40425351.785 39808512.679 41010585.878\n",
       "316 2020-12-03 40707452.804 40131573.233 41322530.163\n",
       "317 2020-12-04 40975724.751 40342644.959 41598468.891\n",
       "318 2020-12-05 41279094.861 40648688.626 41908643.929\n",
       "319 2020-12-06 41545138.527 40921624.264 42184845.592\n",
       "320 2020-12-07 41789983.187 41199291.050 42399688.815\n",
       "321 2020-12-08 42084939.614 41493655.013 42699954.026\n",
       "322 2020-12-09 42383552.226 41801893.914 43007091.153\n",
       "323 2020-12-10 42665653.245 42065015.334 43253186.759\n",
       "324 2020-12-11 42933925.192 42326136.701 43529760.392\n",
       "325 2020-12-12 43237295.302 42624333.486 43822628.993\n",
       "326 2020-12-13 43503338.967 42896058.407 44137996.775\n",
       "327 2020-12-14 43748183.628 43116835.560 44353694.663\n",
       "328 2020-12-15 44043140.055 43388301.679 44630809.643\n",
       "329 2020-12-16 44341752.667 43726124.368 45009822.891\n",
       "330 2020-12-17 44623853.685 43969496.357 45201826.040\n",
       "331 2020-12-18 44892125.633 44238177.925 45475328.861\n",
       "332 2020-12-19 45195495.743 44567915.589 45873124.097\n",
       "333 2020-12-20 45461539.408 44789382.709 46162744.011\n",
       "334 2020-12-21 45706384.069 45010128.944 46405536.684\n",
       "335 2020-12-22 46001340.496 45259621.825 46702209.468\n",
       "336 2020-12-23 46299953.108 45569542.216 46954712.114\n",
       "337 2020-12-24 46582054.126 45855709.500 47327482.094\n",
       "338 2020-12-25 46850326.073 46027617.277 47615802.356\n",
       "339 2020-12-26 47153696.184 46270450.021 47954831.163\n",
       "340 2020-12-27 47419739.849 46583531.761 48245193.697\n",
       "341 2020-12-28 47664584.509 46822507.475 48559438.263\n",
       "342 2020-12-29 47959540.936 47166308.164 48821086.298\n",
       "343 2020-12-30 48258153.548 47331012.824 49192742.480\n",
       "344 2020-12-31 48540254.567 47522527.998 49475005.397\n",
       "345 2021-01-01 48808526.514 47849571.717 49755333.417\n",
       "346 2021-01-02 49111896.624 48170736.664 50127226.558\n",
       "347 2021-01-03 49377940.290 48376685.289 50488348.301\n",
       "348 2021-01-04 49622784.950 48534779.027 50715787.738\n",
       "349 2021-01-05 49917741.377 48653411.736 51099345.176\n",
       "350 2021-01-06 50216353.989 49107298.400 51427869.418\n",
       "351 2021-01-07 50498455.008 49304222.940 51772503.296\n",
       "352 2021-01-08 50766726.955 49471321.785 52046808.281\n",
       "353 2021-01-09 51070097.065 49853945.606 52404652.015\n",
       "354 2021-01-10 51336140.730 50004216.201 52799525.413\n",
       "355 2021-01-11 51580985.391 50236235.487 53100618.714\n",
       "356 2021-01-12 51875941.818 50531224.536 53296288.963\n",
       "357 2021-01-13 52174554.430 50619880.334 53712069.993\n",
       "358 2021-01-14 52456655.448 50887944.290 53970639.827\n",
       "359 2021-01-15 52724927.396 51084925.477 54288858.107\n",
       "360 2021-01-16 53028297.506 51365859.729 54804867.208\n",
       "361 2021-01-17 53294341.171 51685667.173 55023550.468\n",
       "362 2021-01-18 53539185.832 51770858.823 55309689.901\n",
       "363 2021-01-19 53834142.259 52149075.858 55603441.820\n",
       "364 2021-01-20 54132754.871 52326129.132 56036517.203\n",
       "365 2021-01-21 54414855.889 52607823.712 56244392.540\n",
       "366 2021-01-22 54683127.836 52856227.377 56789422.420\n",
       "367 2021-01-23 54986497.947 53030846.793 56988180.193\n",
       "368 2021-01-24 55252541.612 53201573.860 57258730.213\n",
       "369 2021-01-25 55497386.272 53416953.255 57624923.635\n",
       "370 2021-01-26 55792342.699 53622700.306 58070271.373\n",
       "371 2021-01-27 56090955.311 53974417.022 58228083.702\n",
       "372 2021-01-28 56373056.330 54115750.907 58670860.851\n",
       "373 2021-01-29 56641328.277 54249585.834 59017764.695\n",
       "374 2021-01-30 56944698.387 54621406.334 59317911.535\n",
       "375 2021-01-31 57210742.053 54859807.822 59684987.378\n",
       "376 2021-02-01 57455586.713 54872392.146 59926108.905\n",
       "377 2021-02-02 57750543.140 55216186.885 60282783.755\n",
       "378 2021-02-03 58049155.752 55513729.478 60749641.429\n",
       "379 2021-02-04 58331256.771 55614501.189 61036203.117\n",
       "380 2021-02-05 58599528.718 55958375.070 61535859.677\n",
       "381 2021-02-06 58902898.828 56155471.320 61792668.872\n",
       "382 2021-02-07 59168942.493 56313900.474 61986866.117\n",
       "383 2021-02-08 59413787.154 56456541.802 62275278.130\n",
       "384 2021-02-09 59708743.581 56747479.346 62859181.489\n",
       "385 2021-02-10 60007356.193 56983829.541 63201361.830\n",
       "386 2021-02-11 60289457.211 57152056.711 63392315.576\n",
       "387 2021-02-12 60557729.159 57315557.210 63871092.827\n",
       "388 2021-02-13 60861099.269 57715127.244 64072901.464\n",
       "389 2021-02-14 61127142.934 57610860.884 64473956.823\n",
       "390 2021-02-15 61371987.595 58160261.276 64944428.695\n",
       "391 2021-02-16 61666944.022 58062642.479 65244821.615\n",
       "392 2021-02-17 61965556.634 58507603.685 65555284.688\n",
       "393 2021-02-18 62247657.652 58612840.042 66000532.972\n",
       "394 2021-02-19 62515929.599 59003513.798 66253892.345\n",
       "395 2021-02-20 62819299.710 59205924.045 66586785.560\n",
       "396 2021-02-21 63085343.375 59354620.219 66947491.268\n",
       "397 2021-02-22 63330188.035 59482772.995 67320166.128\n",
       "398 2021-02-23 63625144.462 59720950.447 67679912.777\n",
       "399 2021-02-24 63923757.074 60128120.572 68139463.568\n",
       "400 2021-02-25 64205858.093 60208412.461 68434215.067\n",
       "401 2021-02-26 64474130.040 60310016.655 68707739.360\n",
       "402 2021-02-27 64777500.150 60595666.957 69053678.220\n",
       "403 2021-02-28 65043543.816 60752117.503 69417286.644\n",
       "404 2021-03-01 65288388.476 61046992.743 69799281.643\n",
       "405 2021-03-02 65583344.903 61214406.112 70316817.527\n",
       "406 2021-03-03 65881957.515 61598085.580 70731756.190\n",
       "407 2021-03-04 66164058.534 61698266.746 70880113.802\n",
       "408 2021-03-05 66432330.481 61953849.431 71245551.633\n",
       "409 2021-03-06 66735700.591 62249255.521 71789627.594\n",
       "410 2021-03-07 67001744.256 62289366.680 71895726.466\n",
       "411 2021-03-08 67246588.917 62511005.341 72269615.906\n",
       "412 2021-03-09 67541545.344 62842546.032 72581768.082\n",
       "413 2021-03-10 67840157.956 63030292.763 73206758.451\n",
       "414 2021-03-11 68122258.974 63190514.969 73417941.800\n",
       "415 2021-03-12 68390530.922 63427012.633 73763905.285\n",
       "416 2021-03-13 68693901.032 63634284.363 74156623.874\n",
       "417 2021-03-14 68959944.697 63869681.588 74650162.669\n",
       "418 2021-03-15 69204789.358 64041298.119 74955395.005\n",
       "419 2021-03-16 69499745.785 64119139.964 75342477.011\n",
       "420 2021-03-17 69798358.397 64364912.692 75591221.199\n",
       "421 2021-03-18 70080459.415 64669359.103 76107286.475\n",
       "422 2021-03-19 70348731.362 64883491.711 76531344.725\n",
       "423 2021-03-20 70652101.473 65242269.545 76851847.335\n",
       "424 2021-03-21 70918145.138 65099077.339 77145917.442\n",
       "425 2021-03-22 71162989.798 65405827.088 77466997.525\n",
       "426 2021-03-23 71457946.225 65483236.686 77838674.040\n",
       "427 2021-03-24 71756558.837 65741107.726 78282019.663\n",
       "428 2021-03-25 72038659.856 65805208.444 78766152.911\n",
       "429 2021-03-26 72306931.803 66156981.664 79054413.174\n",
       "430 2021-03-27 72610301.913 66541134.845 79359444.043\n",
       "431 2021-03-28 72876345.579 66561305.335 79829493.150\n",
       "432 2021-03-29 73121190.239 66574380.970 80113693.756\n",
       "433 2021-03-30 73416146.666 66931158.585 80582439.027\n",
       "434 2021-03-31 73714759.278 67015099.431 80831485.352\n",
       "435 2021-04-01 73996860.297 67455144.301 81047843.263\n",
       "436 2021-04-02 74265132.244 67489488.310 81652622.197\n",
       "437 2021-04-03 74568502.354 67826889.403 82130836.022\n",
       "438 2021-04-04 74834546.019 67891047.986 82362434.628\n",
       "439 2021-04-05 75079390.680 67964837.914 82828420.179\n",
       "440 2021-04-06 75374347.107 68394448.413 83070882.014\n",
       "441 2021-04-07 75672959.719 68314585.696 83553133.565\n",
       "442 2021-04-08 75955060.737 68599442.385 83817767.384\n",
       "443 2021-04-09 76223332.685 68727942.629 84243668.021\n",
       "444 2021-04-10 76526702.795 69126348.921 84474453.687\n",
       "445 2021-04-11 76792746.460 69266937.035 85100663.691\n",
       "446 2021-04-12 77037591.121 69470019.990 85589388.150\n",
       "447 2021-04-13 77332547.548 69613364.156 85669900.559\n",
       "448 2021-04-14 77631160.160 69959156.554 86199027.588\n",
       "449 2021-04-15 77913261.178 69900254.295 86856415.572\n",
       "450 2021-04-16 78181533.125 70265927.403 86886811.971"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "forecast = m.predict(future)\n",
    "forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']].tail(140)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 441
    },
    "colab_type": "code",
    "id": "EAp07XxTeCuy",
    "outputId": "d430b53d-59d7-4b5c-c6ed-83cf1919f832"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recovered_forecast_plot = m.plot(forecast)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 441
    },
    "colab_type": "code",
    "id": "UQVIYNZReFSB",
    "outputId": "9ad1b5f4-df8b-477c-f075-4d062c83559d"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recovered_forecast_plot = m.plot_components(forecast)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "0ilBIKIyfNBh"
   },
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "z2zVUbxbJq7d"
   },
   "source": [
    "#**Data Source:**\n",
    "- https://www.mohfw.gov.in/\n",
    "- https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [
    "RkCHpmwkFOtU",
    "oTiw0LbXCmeW",
    "KW3k0TQcFEO4",
    "dFhorHIrdhCq",
    "0q44og8xdhE1",
    "7auHzQ1edhFV",
    "PfZbFocZdhFh",
    "QvCUF8AQdhFv",
    "AQ73T8PrdhGB",
    "mCQ7l2xJM5Ke"
   ],
   "name": "India vs World - COVID-19.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}