daily_vaccination.ipynb

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    "colab": {
      "name": "daily_vaccination.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyNPQyuk2E41m/WyzXq4AzAl",
      "include_colab_link": true
    },
    "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": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/nagae/ICL_B_2021/blob/main/daily_vaccination.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XYSm72lKAAPW"
      },
      "source": [
        "# 首相官邸ホームページのワクチン摂取回数データを棒グラフでプロット\n",
        "首相官邸ホームページ(https://www.kantei.go.jp/jp/headline/kansensho/vaccine.html)で公開されているワクチン摂取回数の Excel データを取得して棒グラフでプロット."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PLF1P__ND8oq"
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "from matplotlib import pyplot as plt"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 857
        },
        "id": "W9jjoM0kEBpA",
        "outputId": "28bf2231-92b7-4b5b-db4a-094787688ac2"
      },
      "source": [
        "df = pd.read_excel('https://www.kantei.go.jp/jp/content/IRYO-vaccination_data.xlsx', header=2) # read_excel関数を使って Excel ファイルを読込む．行2をヘッダとする\n",
        "df = df.drop(index=0) # 合計が記載されている行0を削除\n",
        "df = df.dropna() # 訳のわからない日本語が記載されている行を削除(データ提供が目的のファイルにコメント書くのホント辞めて欲しい)\n",
        "df = df.set_index(df.columns[0]) # 列0の集計日をインデックスにする．列0の列名が\"　集計日\"となっているのがウザい（無駄に全角スペースとかホント辞めて欲しい）ので， df.columns[0] で指定．\n",
        "df = df.iloc[::-1] # データを古い方から新しい方へ並べ変える\n",
        "df # データフレームの中身を表示"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>曜日</th>\n",
              "      <th>接種回数</th>\n",
              "      <th>内１回目</th>\n",
              "      <th>内２回目</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>集計日</th>\n",
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              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2021-04-12</th>\n",
              "      <td>(月)</td>\n",
              "      <td>96936.0</td>\n",
              "      <td>26850.0</td>\n",
              "      <td>70086.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-04-13</th>\n",
              "      <td>(火)</td>\n",
              "      <td>53986.0</td>\n",
              "      <td>13896.0</td>\n",
              "      <td>40090.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-04-14</th>\n",
              "      <td>(水)</td>\n",
              "      <td>50996.0</td>\n",
              "      <td>9569.0</td>\n",
              "      <td>41427.0</td>\n",
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              "    <tr>\n",
              "      <th>2021-04-15</th>\n",
              "      <td>(木)</td>\n",
              "      <td>52620.0</td>\n",
              "      <td>16637.0</td>\n",
              "      <td>35983.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-04-16</th>\n",
              "      <td>(金)</td>\n",
              "      <td>69687.0</td>\n",
              "      <td>29696.0</td>\n",
              "      <td>39991.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-04-19</th>\n",
              "      <td>(月)</td>\n",
              "      <td>119032.0</td>\n",
              "      <td>64725.0</td>\n",
              "      <td>54307.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-04-20</th>\n",
              "      <td>(火)</td>\n",
              "      <td>126419.0</td>\n",
              "      <td>98622.0</td>\n",
              "      <td>27797.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-04-21</th>\n",
              "      <td>(水)</td>\n",
              "      <td>152884.0</td>\n",
              "      <td>126188.0</td>\n",
              "      <td>26696.0</td>\n",
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              "    <tr>\n",
              "      <th>2021-04-22</th>\n",
              "      <td>(木)</td>\n",
              "      <td>150489.0</td>\n",
              "      <td>128634.0</td>\n",
              "      <td>21855.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-04-23</th>\n",
              "      <td>(金)</td>\n",
              "      <td>177672.0</td>\n",
              "      <td>147989.0</td>\n",
              "      <td>29683.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-04-26</th>\n",
              "      <td>(月)</td>\n",
              "      <td>263328.0</td>\n",
              "      <td>221677.0</td>\n",
              "      <td>41651.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-04-27</th>\n",
              "      <td>(火)</td>\n",
              "      <td>203174.0</td>\n",
              "      <td>172069.0</td>\n",
              "      <td>31105.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-04-28</th>\n",
              "      <td>(水)</td>\n",
              "      <td>238273.0</td>\n",
              "      <td>194005.0</td>\n",
              "      <td>44268.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-04-30</th>\n",
              "      <td>(金)</td>\n",
              "      <td>274907.0</td>\n",
              "      <td>227667.0</td>\n",
              "      <td>47240.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-05-06</th>\n",
              "      <td>(木)</td>\n",
              "      <td>331914.0</td>\n",
              "      <td>268978.0</td>\n",
              "      <td>62936.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-05-07</th>\n",
              "      <td>(金)</td>\n",
              "      <td>140344.0</td>\n",
              "      <td>97165.0</td>\n",
              "      <td>43179.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-05-10</th>\n",
              "      <td>(月)</td>\n",
              "      <td>223504.0</td>\n",
              "      <td>155255.0</td>\n",
              "      <td>68249.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-05-11</th>\n",
              "      <td>(火)</td>\n",
              "      <td>168738.0</td>\n",
              "      <td>90287.0</td>\n",
              "      <td>78451.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-05-12</th>\n",
              "      <td>(水)</td>\n",
              "      <td>181720.0</td>\n",
              "      <td>82959.0</td>\n",
              "      <td>98761.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-05-13</th>\n",
              "      <td>(木)</td>\n",
              "      <td>219139.0</td>\n",
              "      <td>93429.0</td>\n",
              "      <td>125710.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-05-14</th>\n",
              "      <td>(金)</td>\n",
              "      <td>242878.0</td>\n",
              "      <td>99493.0</td>\n",
              "      <td>143385.0</td>\n",
              "    </tr>\n",
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              "      <th>2021-05-17</th>\n",
              "      <td>(月)</td>\n",
              "      <td>349566.0</td>\n",
              "      <td>133843.0</td>\n",
              "      <td>215723.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-05-18</th>\n",
              "      <td>(火)</td>\n",
              "      <td>250244.0</td>\n",
              "      <td>94577.0</td>\n",
              "      <td>155667.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-05-19</th>\n",
              "      <td>(水)</td>\n",
              "      <td>267866.0</td>\n",
              "      <td>88163.0</td>\n",
              "      <td>179703.0</td>\n",
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              "    <tr>\n",
              "      <th>2021-05-20</th>\n",
              "      <td>(木)</td>\n",
              "      <td>190533.0</td>\n",
              "      <td>81422.0</td>\n",
              "      <td>109111.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2021-05-21</th>\n",
              "      <td>(金)</td>\n",
              "      <td>249021.0</td>\n",
              "      <td>99918.0</td>\n",
              "      <td>149103.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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            ],
            "text/plain": [
              "             曜日     接種回数　      内１回目      内２回目\n",
              "　集計日                                         \n",
              "2021-04-12  (月)   96936.0   26850.0   70086.0\n",
              "2021-04-13  (火)   53986.0   13896.0   40090.0\n",
              "2021-04-14  (水)   50996.0    9569.0   41427.0\n",
              "2021-04-15  (木)   52620.0   16637.0   35983.0\n",
              "2021-04-16  (金)   69687.0   29696.0   39991.0\n",
              "2021-04-19  (月)  119032.0   64725.0   54307.0\n",
              "2021-04-20  (火)  126419.0   98622.0   27797.0\n",
              "2021-04-21  (水)  152884.0  126188.0   26696.0\n",
              "2021-04-22  (木)  150489.0  128634.0   21855.0\n",
              "2021-04-23  (金)  177672.0  147989.0   29683.0\n",
              "2021-04-26  (月)  263328.0  221677.0   41651.0\n",
              "2021-04-27  (火)  203174.0  172069.0   31105.0\n",
              "2021-04-28  (水)  238273.0  194005.0   44268.0\n",
              "2021-04-30  (金)  274907.0  227667.0   47240.0\n",
              "2021-05-06  (木)  331914.0  268978.0   62936.0\n",
              "2021-05-07  (金)  140344.0   97165.0   43179.0\n",
              "2021-05-10  (月)  223504.0  155255.0   68249.0\n",
              "2021-05-11  (火)  168738.0   90287.0   78451.0\n",
              "2021-05-12  (水)  181720.0   82959.0   98761.0\n",
              "2021-05-13  (木)  219139.0   93429.0  125710.0\n",
              "2021-05-14  (金)  242878.0   99493.0  143385.0\n",
              "2021-05-17  (月)  349566.0  133843.0  215723.0\n",
              "2021-05-18  (火)  250244.0   94577.0  155667.0\n",
              "2021-05-19  (水)  267866.0   88163.0  179703.0\n",
              "2021-05-20  (木)  190533.0   81422.0  109111.0\n",
              "2021-05-21  (金)  249021.0   99918.0  149103.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 604
        },
        "id": "Q2mQLDOpEHMA",
        "outputId": "740cf37b-6638-4c18-9a7f-c74a032e5852"
      },
      "source": [
        "!pip install japanize-matplotlib\n",
        "import japanize_matplotlib\n",
        "plt.bar(df.index.strftime(\"%m/%d\"),df.iloc[:,1]) # ワクチン接種回数を棒グラフで表示\n",
        "plt.xticks(rotation=90) # x軸ラベルを90度回転\n",
        "plt.title(\"医療従事者等への摂取回数実績\")\n",
        "plt.show()"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting japanize-matplotlib\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/aa/85/08a4b7fe8987582d99d9bb7ad0ff1ec75439359a7f9690a0dbf2dbf98b15/japanize-matplotlib-1.1.3.tar.gz (4.1MB)\n",
            "\u001b[K     |████████████████████████████████| 4.1MB 5.1MB/s \n",
            "\u001b[?25hRequirement already satisfied: matplotlib in /usr/local/lib/python3.7/dist-packages (from japanize-matplotlib) (3.2.2)\n",
            "Requirement already satisfied: numpy>=1.11 in /usr/local/lib/python3.7/dist-packages (from matplotlib->japanize-matplotlib) (1.19.5)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib->japanize-matplotlib) (0.10.0)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->japanize-matplotlib) (2.8.1)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->japanize-matplotlib) (2.4.7)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->japanize-matplotlib) (1.3.1)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from cycler>=0.10->matplotlib->japanize-matplotlib) (1.15.0)\n",
            "Building wheels for collected packages: japanize-matplotlib\n",
            "  Building wheel for japanize-matplotlib (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for japanize-matplotlib: filename=japanize_matplotlib-1.1.3-cp37-none-any.whl size=4120276 sha256=6e86ddb88036eee3b4bb888bb4777faa5392a731e377a96ec36832f39612304d\n",
            "  Stored in directory: /root/.cache/pip/wheels/b7/d9/a2/f907d50b32a2d2008ce5d691d30fb6569c2c93eefcfde55202\n",
            "Successfully built japanize-matplotlib\n",
            "Installing collected packages: japanize-matplotlib\n",
            "Successfully installed japanize-matplotlib-1.1.3\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ukrtFnXPAzH1"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}