COVID-19 forecasting with prophet/Covid19_forecasting_with_prophet.ipynb

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  "metadata": {
    "colab": {
      "name": "Covid19_forecasting_with_prophet.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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    "language_info": {
      "name": "python"
    }
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sScTPetttfpu"
      },
      "source": [
        "# **Forecasting using Facebook Prophet-time-series model.**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H4yOnFv8uDrS"
      },
      "source": [
        "Performing forecasting on covid19 confirmed cases using previous data of confirmed cases.\n",
        "\n",
        "Steps Followed:\n",
        "\n",
        "1.Data Preprocessing.\n",
        "\n",
        "2.Data visualization of previous data available.\n",
        "\n",
        "3.Data preparation for Forecasting.\n",
        "\n",
        "4.Forecasting for coming months."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cv8hqc81vaz3"
      },
      "source": [
        "## Data Preprocessing:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "80XCY6kCaK-H"
      },
      "source": [
        "#import required libaries for data preprocessing.\n",
        "import pandas as pd"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 415
        },
        "id": "lsfJQ8B6aREO",
        "outputId": "bdd1db5c-9546-49de-e964-b74371d71801"
      },
      "source": [
        "coviddata=pd.read_csv('/content/case_time_series.csv')\n",
        "coviddata"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Date</th>\n",
              "      <th>Date_YMD</th>\n",
              "      <th>Daily Confirmed</th>\n",
              "      <th>Total Confirmed</th>\n",
              "      <th>Daily Recovered</th>\n",
              "      <th>Total Recovered</th>\n",
              "      <th>Daily Deceased</th>\n",
              "      <th>Total Deceased</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>30 January 2020</td>\n",
              "      <td>2020-01-30</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>31 January 2020</td>\n",
              "      <td>2020-01-31</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1 February 2020</td>\n",
              "      <td>2020-02-01</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2 February 2020</td>\n",
              "      <td>2020-02-02</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>3 February 2020</td>\n",
              "      <td>2020-02-03</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>498</th>\n",
              "      <td>11 June 2021</td>\n",
              "      <td>2021-06-11</td>\n",
              "      <td>84574</td>\n",
              "      <td>29358334</td>\n",
              "      <td>122685</td>\n",
              "      <td>27903079</td>\n",
              "      <td>3996</td>\n",
              "      <td>366516</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>499</th>\n",
              "      <td>12 June 2021</td>\n",
              "      <td>2021-06-12</td>\n",
              "      <td>80525</td>\n",
              "      <td>29438859</td>\n",
              "      <td>132664</td>\n",
              "      <td>28035743</td>\n",
              "      <td>3300</td>\n",
              "      <td>369816</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>500</th>\n",
              "      <td>13 June 2021</td>\n",
              "      <td>2021-06-13</td>\n",
              "      <td>71001</td>\n",
              "      <td>29509860</td>\n",
              "      <td>119574</td>\n",
              "      <td>28155317</td>\n",
              "      <td>3922</td>\n",
              "      <td>373738</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>501</th>\n",
              "      <td>14 June 2021</td>\n",
              "      <td>2021-06-14</td>\n",
              "      <td>60008</td>\n",
              "      <td>29569868</td>\n",
              "      <td>117376</td>\n",
              "      <td>28272693</td>\n",
              "      <td>2733</td>\n",
              "      <td>376471</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>502</th>\n",
              "      <td>15 June 2021</td>\n",
              "      <td>2021-06-15</td>\n",
              "      <td>62214</td>\n",
              "      <td>29632082</td>\n",
              "      <td>107767</td>\n",
              "      <td>28380460</td>\n",
              "      <td>2540</td>\n",
              "      <td>379011</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>503 rows × 8 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                Date    Date_YMD  ...  Daily Deceased  Total Deceased\n",
              "0    30 January 2020  2020-01-30  ...               0               0\n",
              "1    31 January 2020  2020-01-31  ...               0               0\n",
              "2    1 February 2020  2020-02-01  ...               0               0\n",
              "3    2 February 2020  2020-02-02  ...               0               0\n",
              "4    3 February 2020  2020-02-03  ...               0               0\n",
              "..               ...         ...  ...             ...             ...\n",
              "498     11 June 2021  2021-06-11  ...            3996          366516\n",
              "499     12 June 2021  2021-06-12  ...            3300          369816\n",
              "500     13 June 2021  2021-06-13  ...            3922          373738\n",
              "501     14 June 2021  2021-06-14  ...            2733          376471\n",
              "502     15 June 2021  2021-06-15  ...            2540          379011\n",
              "\n",
              "[503 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fHZElowUafvd",
        "outputId": "0119a079-d55b-4165-a9b7-cde8ced20308"
      },
      "source": [
        "coviddata.shape"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(503, 8)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
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        "id": "YUbjpdI7vJpE",
        "outputId": "3297ce82-4cff-42a8-b1f1-6351435c9a7d"
      },
      "source": [
        "coviddata.columns"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Date', 'Date_YMD', 'Daily Confirmed', 'Total Confirmed',\n",
              "       'Daily Recovered', 'Total Recovered', 'Daily Deceased',\n",
              "       'Total Deceased'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "016wHWiOvN2P",
        "outputId": "31ed3be1-1411-424c-e159-8b80d964fe76"
      },
      "source": [
        "coviddata.info()"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 503 entries, 0 to 502\n",
            "Data columns (total 8 columns):\n",
            " #   Column           Non-Null Count  Dtype \n",
            "---  ------           --------------  ----- \n",
            " 0   Date             503 non-null    object\n",
            " 1   Date_YMD         503 non-null    object\n",
            " 2   Daily Confirmed  503 non-null    int64 \n",
            " 3   Total Confirmed  503 non-null    int64 \n",
            " 4   Daily Recovered  503 non-null    int64 \n",
            " 5   Total Recovered  503 non-null    int64 \n",
            " 6   Daily Deceased   503 non-null    int64 \n",
            " 7   Total Deceased   503 non-null    int64 \n",
            "dtypes: int64(6), object(2)\n",
            "memory usage: 31.6+ KB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XpbQXKb9vqkN",
        "outputId": "011333a5-8bb1-403c-fb62-83b1b5cc55f0"
      },
      "source": [
        "#just to check for any null values.\n",
        "coviddata.isnull().sum()"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Date               0\n",
              "Date_YMD           0\n",
              "Daily Confirmed    0\n",
              "Total Confirmed    0\n",
              "Daily Recovered    0\n",
              "Total Recovered    0\n",
              "Daily Deceased     0\n",
              "Total Deceased     0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Vx71PZUPv1QY",
        "outputId": "6b1c2d4f-a815-42ed-e179-14e942a8692c"
      },
      "source": [
        "coviddata.isnull().sum().sum()"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nZKJ2hyCwmVm"
      },
      "source": [
        "## Data Visualization:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KSGAdTNIwqum"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline"
      ],
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 646
        },
        "id": "Lep4_3Ca0KoE",
        "outputId": "be95d77a-ba4a-4be7-c5fd-6519f3207ef5"
      },
      "source": [
        "x=coviddata['Date_YMD']\n",
        "y1=coviddata['Daily Confirmed']\n",
        "y2=coviddata['Daily Recovered']\n",
        "y3=coviddata['Daily Deceased']\n",
        "plt.figure(figsize=(14,10))\n",
        "plt.plot(x,y1,label='Daily Confirmed cases',color='blue')\n",
        "plt.plot(x,y2,label='Daily Recovered cases',color='green')\n",
        "plt.plot(x,y3,label='Daily Deceased cases',color='red')\n",
        "plt.title('Total confirmed cases, total recovered and total deceased cases',fontsize=18)\n",
        "plt.xlabel('Days',fontsize=14)\n",
        "plt.ylabel('Number of cases',fontsize=14)\n",
        "plt.legend()\n",
        "plt.plot()"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1008x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 646
        },
        "id": "CY9xB9eRwxZB",
        "outputId": "a4d62955-9cf0-4134-872e-86573aca9d49"
      },
      "source": [
        "x=coviddata['Date_YMD']\n",
        "y1=coviddata['Total Confirmed']\n",
        "y2=coviddata['Total Recovered']\n",
        "y3=coviddata['Total Deceased']\n",
        "plt.figure(figsize=(14,10))\n",
        "plt.plot(x,y1,label='Total Confirmed cases',color='blue')\n",
        "plt.plot(x,y2,label='Total Recovered cases',color='green')\n",
        "plt.plot(x,y3,label='Total Deceased cases',color='red')\n",
        "plt.title('Total confirmed cases, total recovered and total deceased cases',fontsize=18)\n",
        "plt.xlabel('Days',fontsize=14)\n",
        "plt.ylabel('Number of cases',fontsize=14)\n",
        "plt.legend()\n",
        "plt.plot()"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1008x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WNm-4S3H28Jh"
      },
      "source": [
        " Understanding from above visualizations:\n",
        " \n",
        "Number of recovered cases are high as compared to deceased cases, which shows that recovery rate for covid19 cases in India is very good."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hdprW6x31KB5"
      },
      "source": [
        "## Data Preparation for forecasting"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 415
        },
        "id": "HNKbbNZWawLc",
        "outputId": "c5992073-b07c-4c12-efdd-8b15628c80ce"
      },
      "source": [
        "#Since we're forecasting for daily cases, we'll drop all other columns and keep needed ones. \n",
        "data=coviddata.drop(['Date','Total Confirmed','Daily Recovered', 'Total Recovered', 'Daily Deceased','Total Deceased'],axis=1)\n",
        "data"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Date_YMD</th>\n",
              "      <th>Daily Confirmed</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2020-01-30</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2020-01-31</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2020-02-01</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2020-02-02</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2020-02-03</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>498</th>\n",
              "      <td>2021-06-11</td>\n",
              "      <td>84574</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>499</th>\n",
              "      <td>2021-06-12</td>\n",
              "      <td>80525</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>500</th>\n",
              "      <td>2021-06-13</td>\n",
              "      <td>71001</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>501</th>\n",
              "      <td>2021-06-14</td>\n",
              "      <td>60008</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>502</th>\n",
              "      <td>2021-06-15</td>\n",
              "      <td>62214</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>503 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       Date_YMD  Daily Confirmed\n",
              "0    2020-01-30                1\n",
              "1    2020-01-31                0\n",
              "2    2020-02-01                0\n",
              "3    2020-02-02                1\n",
              "4    2020-02-03                1\n",
              "..          ...              ...\n",
              "498  2021-06-11            84574\n",
              "499  2021-06-12            80525\n",
              "500  2021-06-13            71001\n",
              "501  2021-06-14            60008\n",
              "502  2021-06-15            62214\n",
              "\n",
              "[503 rows x 2 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 646
        },
        "id": "qgfBCRF_bLib",
        "outputId": "e8b41589-69fa-43a3-fbca-c035f683a8e6"
      },
      "source": [
        "#plotting the prepared data.\n",
        "data.plot(figsize=(14,10))\n",
        "plt.title('Daily comfirmed cases',fontsize=18)\n",
        "plt.xlabel('Days',fontsize=14)\n",
        "plt.ylabel('Number of cases',fontsize=14)"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Number of cases')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1008x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "c64kLHKF1aKd"
      },
      "source": [
        "## Forecasting"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QVZemLlcc4xf"
      },
      "source": [
        "### Fit Prophet model "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Oe0mILt1cHEO"
      },
      "source": [
        "# prepare expected column names.\n",
        "from pandas import to_datetime\n",
        "data.columns = ['ds', 'y']\n",
        "data['ds']= to_datetime(data['ds'])"
      ],
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6BKYnwY6c_gV",
        "outputId": "2fb74be8-824e-4e5b-cad2-7199610b2407"
      },
      "source": [
        "import fbprophet\n",
        "from fbprophet import Prophet\n",
        "# define the model\n",
        "model = Prophet(interval_width=0.95,daily_seasonality=True,weekly_seasonality=True,yearly_seasonality=True)\n",
        "# fit the model\n",
        "model.fit(data)"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "INFO:numexpr.utils:NumExpr defaulting to 2 threads.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<fbprophet.forecaster.Prophet at 0x7f2427562ed0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "G8lXB65RdNYs"
      },
      "source": [
        "## Forecasting"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yM_XLKuxdIit"
      },
      "source": [
        "# define the period for which we want a prediction, here I'm trying to make forecasting till year end i.e. December 2021.\n",
        "future = list()\n",
        "for i in range(6, 13):\n",
        "\tdate = '2021-%02d' % i\n",
        "\tfuture.append([date])\n",
        "future =pd.DataFrame(future)\n",
        "future.columns = ['ds']\n",
        "future['ds']= to_datetime(future['ds'])"
      ],
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EEP07WkJda_5"
      },
      "source": [
        "# use the model to make a forecast\n",
        "forecast = model.predict(future)"
      ],
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NjVNWCtSdvxl"
      },
      "source": [
        "## View forecast"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        },
        "id": "UBxeBN-cdtUj",
        "outputId": "5a4d4d46-9d62-442e-8be2-93c68131d475"
      },
      "source": [
        "#view first 5 rows of forecast.\n",
        "forecast.head()"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>trend</th>\n",
              "      <th>yhat_lower</th>\n",
              "      <th>yhat_upper</th>\n",
              "      <th>trend_lower</th>\n",
              "      <th>trend_upper</th>\n",
              "      <th>additive_terms</th>\n",
              "      <th>additive_terms_lower</th>\n",
              "      <th>additive_terms_upper</th>\n",
              "      <th>daily</th>\n",
              "      <th>daily_lower</th>\n",
              "      <th>daily_upper</th>\n",
              "      <th>weekly</th>\n",
              "      <th>weekly_lower</th>\n",
              "      <th>weekly_upper</th>\n",
              "      <th>yearly</th>\n",
              "      <th>yearly_lower</th>\n",
              "      <th>yearly_upper</th>\n",
              "      <th>multiplicative_terms</th>\n",
              "      <th>multiplicative_terms_lower</th>\n",
              "      <th>multiplicative_terms_upper</th>\n",
              "      <th>yhat</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2021-06-01</td>\n",
              "      <td>74422.100518</td>\n",
              "      <td>103036.516280</td>\n",
              "      <td>237867.837889</td>\n",
              "      <td>74422.100518</td>\n",
              "      <td>74422.100518</td>\n",
              "      <td>98809.612832</td>\n",
              "      <td>98809.612832</td>\n",
              "      <td>98809.612832</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>-1941.304666</td>\n",
              "      <td>-1941.304666</td>\n",
              "      <td>-1941.304666</td>\n",
              "      <td>-5491.795442</td>\n",
              "      <td>-5491.795442</td>\n",
              "      <td>-5491.795442</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>173231.713350</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2021-07-01</td>\n",
              "      <td>92458.076239</td>\n",
              "      <td>182026.910839</td>\n",
              "      <td>311252.340538</td>\n",
              "      <td>89678.282869</td>\n",
              "      <td>94690.566293</td>\n",
              "      <td>153938.277711</td>\n",
              "      <td>153938.277711</td>\n",
              "      <td>153938.277711</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>2458.210934</td>\n",
              "      <td>2458.210934</td>\n",
              "      <td>2458.210934</td>\n",
              "      <td>45237.353837</td>\n",
              "      <td>45237.353837</td>\n",
              "      <td>45237.353837</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>246396.353950</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2021-08-01</td>\n",
              "      <td>111095.251150</td>\n",
              "      <td>206501.311298</td>\n",
              "      <td>345377.839077</td>\n",
              "      <td>99193.778778</td>\n",
              "      <td>124100.451982</td>\n",
              "      <td>161536.449435</td>\n",
              "      <td>161536.449435</td>\n",
              "      <td>161536.449435</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>-617.457758</td>\n",
              "      <td>-617.457758</td>\n",
              "      <td>-617.457758</td>\n",
              "      <td>55911.194252</td>\n",
              "      <td>55911.194252</td>\n",
              "      <td>55911.194252</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>272631.700585</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2021-09-01</td>\n",
              "      <td>129732.426062</td>\n",
              "      <td>230321.723874</td>\n",
              "      <td>372595.512209</td>\n",
              "      <td>103002.469868</td>\n",
              "      <td>159947.093849</td>\n",
              "      <td>171378.661933</td>\n",
              "      <td>171378.661933</td>\n",
              "      <td>171378.661933</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>3305.599999</td>\n",
              "      <td>3305.599999</td>\n",
              "      <td>3305.599999</td>\n",
              "      <td>61830.348994</td>\n",
              "      <td>61830.348994</td>\n",
              "      <td>61830.348994</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>301111.087995</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2021-10-01</td>\n",
              "      <td>147768.401783</td>\n",
              "      <td>225293.531818</td>\n",
              "      <td>377234.076358</td>\n",
              "      <td>104701.337433</td>\n",
              "      <td>194696.556568</td>\n",
              "      <td>151281.624416</td>\n",
              "      <td>151281.624416</td>\n",
              "      <td>151281.624416</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>2461.189671</td>\n",
              "      <td>2461.189671</td>\n",
              "      <td>2461.189671</td>\n",
              "      <td>42577.721805</td>\n",
              "      <td>42577.721805</td>\n",
              "      <td>42577.721805</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>299050.026199</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "          ds          trend  ...  multiplicative_terms_upper           yhat\n",
              "0 2021-06-01   74422.100518  ...                         0.0  173231.713350\n",
              "1 2021-07-01   92458.076239  ...                         0.0  246396.353950\n",
              "2 2021-08-01  111095.251150  ...                         0.0  272631.700585\n",
              "3 2021-09-01  129732.426062  ...                         0.0  301111.087995\n",
              "4 2021-10-01  147768.401783  ...                         0.0  299050.026199\n",
              "\n",
              "[5 rows x 22 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        },
        "id": "B3UjJIcC4XPE",
        "outputId": "c82a6720-eaee-4526-9d8e-4a218e507d50"
      },
      "source": [
        "#view last 5 rows of forecast.\n",
        "forecast.tail()"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>trend</th>\n",
              "      <th>yhat_lower</th>\n",
              "      <th>yhat_upper</th>\n",
              "      <th>trend_lower</th>\n",
              "      <th>trend_upper</th>\n",
              "      <th>additive_terms</th>\n",
              "      <th>additive_terms_lower</th>\n",
              "      <th>additive_terms_upper</th>\n",
              "      <th>daily</th>\n",
              "      <th>daily_lower</th>\n",
              "      <th>daily_upper</th>\n",
              "      <th>weekly</th>\n",
              "      <th>weekly_lower</th>\n",
              "      <th>weekly_upper</th>\n",
              "      <th>yearly</th>\n",
              "      <th>yearly_lower</th>\n",
              "      <th>yearly_upper</th>\n",
              "      <th>multiplicative_terms</th>\n",
              "      <th>multiplicative_terms_lower</th>\n",
              "      <th>multiplicative_terms_upper</th>\n",
              "      <th>yhat</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2021-08-01</td>\n",
              "      <td>111095.251150</td>\n",
              "      <td>206501.311298</td>\n",
              "      <td>345377.839077</td>\n",
              "      <td>99193.778778</td>\n",
              "      <td>124100.451982</td>\n",
              "      <td>161536.449435</td>\n",
              "      <td>161536.449435</td>\n",
              "      <td>161536.449435</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>-617.457758</td>\n",
              "      <td>-617.457758</td>\n",
              "      <td>-617.457758</td>\n",
              "      <td>55911.194252</td>\n",
              "      <td>55911.194252</td>\n",
              "      <td>55911.194252</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>272631.700585</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2021-09-01</td>\n",
              "      <td>129732.426062</td>\n",
              "      <td>230321.723874</td>\n",
              "      <td>372595.512209</td>\n",
              "      <td>103002.469868</td>\n",
              "      <td>159947.093849</td>\n",
              "      <td>171378.661933</td>\n",
              "      <td>171378.661933</td>\n",
              "      <td>171378.661933</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>3305.599999</td>\n",
              "      <td>3305.599999</td>\n",
              "      <td>3305.599999</td>\n",
              "      <td>61830.348994</td>\n",
              "      <td>61830.348994</td>\n",
              "      <td>61830.348994</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>301111.087995</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2021-10-01</td>\n",
              "      <td>147768.401783</td>\n",
              "      <td>225293.531818</td>\n",
              "      <td>377234.076358</td>\n",
              "      <td>104701.337433</td>\n",
              "      <td>194696.556568</td>\n",
              "      <td>151281.624416</td>\n",
              "      <td>151281.624416</td>\n",
              "      <td>151281.624416</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>2461.189671</td>\n",
              "      <td>2461.189671</td>\n",
              "      <td>2461.189671</td>\n",
              "      <td>42577.721805</td>\n",
              "      <td>42577.721805</td>\n",
              "      <td>42577.721805</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>299050.026199</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>2021-11-01</td>\n",
              "      <td>166405.576695</td>\n",
              "      <td>168028.068504</td>\n",
              "      <td>351646.490459</td>\n",
              "      <td>103933.613245</td>\n",
              "      <td>234499.821648</td>\n",
              "      <td>90592.134206</td>\n",
              "      <td>90592.134206</td>\n",
              "      <td>90592.134206</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>-7555.335132</td>\n",
              "      <td>-7555.335132</td>\n",
              "      <td>-7555.335132</td>\n",
              "      <td>-8095.243602</td>\n",
              "      <td>-8095.243602</td>\n",
              "      <td>-8095.243602</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>256997.710901</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>2021-12-01</td>\n",
              "      <td>184441.552416</td>\n",
              "      <td>157025.106458</td>\n",
              "      <td>375414.464101</td>\n",
              "      <td>102016.119323</td>\n",
              "      <td>273450.688978</td>\n",
              "      <td>77558.091528</td>\n",
              "      <td>77558.091528</td>\n",
              "      <td>77558.091528</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>106242.71294</td>\n",
              "      <td>3305.599999</td>\n",
              "      <td>3305.599999</td>\n",
              "      <td>3305.599999</td>\n",
              "      <td>-31990.221411</td>\n",
              "      <td>-31990.221411</td>\n",
              "      <td>-31990.221411</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>261999.643944</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "          ds          trend  ...  multiplicative_terms_upper           yhat\n",
              "2 2021-08-01  111095.251150  ...                         0.0  272631.700585\n",
              "3 2021-09-01  129732.426062  ...                         0.0  301111.087995\n",
              "4 2021-10-01  147768.401783  ...                         0.0  299050.026199\n",
              "5 2021-11-01  166405.576695  ...                         0.0  256997.710901\n",
              "6 2021-12-01  184441.552416  ...                         0.0  261999.643944\n",
              "\n",
              "[5 rows x 22 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uHZ7HjKQd3bg",
        "outputId": "c809c431-8207-4ca1-9640-4d8fa4412b86"
      },
      "source": [
        "# summarize the forecast\n",
        "print(forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']].head())"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "          ds           yhat     yhat_lower     yhat_upper\n",
            "0 2021-06-01  173231.713350  103036.516280  237867.837889\n",
            "1 2021-07-01  246396.353950  182026.910839  311252.340538\n",
            "2 2021-08-01  272631.700585  206501.311298  345377.839077\n",
            "3 2021-09-01  301111.087995  230321.723874  372595.512209\n",
            "4 2021-10-01  299050.026199  225293.531818  377234.076358\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "B52DCRe24xD-"
      },
      "source": [
        "Here, yhat is the forecast, yhat_lower and yhat_upper are the least and most range that the forecasted values can reach to."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 441
        },
        "id": "s-2vd6ljeFKe",
        "outputId": "f9e407fd-3d87-46c9-c651-e0d0e777ef27"
      },
      "source": [
        "# plot forecast\n",
        "from matplotlib import pyplot\n",
        "model.plot(forecast)\n",
        "pyplot.show()"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 873
        },
        "id": "gnmng8E4eZ-n",
        "outputId": "7c00a29c-72a0-47fb-ecb7-66ae1db675e2"
      },
      "source": [
        "plot=model.plot_components(forecast)"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 648x864 with 4 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ujs-ebci5EMg"
      },
      "source": [
        "The above visualizations shows us expected daily, weekly and yearly trends"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2GUOHquc1yqT"
      },
      "source": [
        "Conclusion:\n",
        "\n",
        "1.India might see a third wave but not as sharp and hard as the second one.\n",
        "\n",
        "2.To avoid third wave we all should follow all necessary precautions and keep safe."
      ]
    }
  ]
}