dash_returns.ipynb

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  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "dash_returns.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "mount_file_id": "1vAb7wO8dmovQBtTJPYXBV6l1tUvTwXfL",
      "authorship_tag": "ABX9TyPMUPfPYQd0PBBBg3w5sQt/",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/mazarimono/webdb_notebook/blob/master/dash_returns.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6_D352Nogaea",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 809
        },
        "outputId": "0fca6bea-2c6b-430d-b104-a1a9f300ebc0"
      },
      "source": [
        "!pip install jupyter_dash\n",
        "!pip install --upgrade plotly"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
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          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "y2kzZ1sNqWNR",
        "colab_type": "text"
      },
      "source": [
        "## 解説用資料\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wm21_88qhBiH",
        "colab_type": "text"
      },
      "source": [
        "## Pandas を使って前処理\n",
        "- Colabにはプレインストールされています。\n",
        "- 普通はpip installなど（色々ある）でインストール後にインポートします。"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7Qarc8TTqhhU",
        "colab_type": "text"
      },
      "source": [
        "### まずはデータの読み込み\n",
        "- ジャッグジャパン株式会社さんのドロップボックスにcsvファイルが置かれています\n",
        "- pandasのread_csv関数を使ってデータを読み込みます"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ko_T-pELhbXE",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pandas as pd"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_wsoLDojhC-0",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df = pd.read_csv(\"https://dl.dropboxusercontent.com/s/6mztoeb6xf78g5w/COVID-19.csv\", low_memory=False)"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DiWM8fx9hZkP",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "cffe58df-3af3-411b-87ea-81b6d9778ad3"
      },
      "source": [
        "df"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>職業_正誤確認用</th>\n",
              "      <th>勤務先_正誤確認用</th>\n",
              "      <th>Hospital Pref</th>\n",
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              "      <th>更新日時</th>\n",
              "      <th>Field2</th>\n",
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              "      <td>男性</td>\n",
              "      <td>1/15/2020</td>\n",
              "      <td>1/3/2020</td>\n",
              "      <td>神奈川県</td>\n",
              "      <td>神奈川県</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>神奈川県</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>退院</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://www.mhlw.go.jp/stf/newpage_08906.html</td>\n",
              "      <td>https://www.pref.kanagawa.jp/docs/ga4/bukanshi...</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>Kanagawa</td>\n",
              "      <td>Kanagawa</td>\n",
              "      <td>Kanagawa Prefecture</td>\n",
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              "      <td>35.447504</td>\n",
              "      <td>2020/1/15</td>\n",
              "      <td>14.0</td>\n",
              "      <td>14</td>\n",
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              "      <td>男性</td>\n",
              "      <td>1/24/2020</td>\n",
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              "      <td>退院または死亡</td>\n",
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              "      <td>https://www.mhlw.go.jp/stf/newpage_09079.html</td>\n",
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              "      <td>Tokyo</td>\n",
              "      <td>China(Mainland)</td>\n",
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              "      <td>Male</td>\n",
              "      <td>116.409685</td>\n",
              "      <td>39.903832</td>\n",
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              "      <td>A-3</td>\n",
              "      <td>NaN</td>\n",
              "      <td>30</td>\n",
              "      <td>女性</td>\n",
              "      <td>1/25/2020</td>\n",
              "      <td>1/21/2020</td>\n",
              "      <td>東京都</td>\n",
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              "      <td>Tokyo</td>\n",
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              "      <td>Female</td>\n",
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              "      <td>39.903832</td>\n",
              "      <td>2020/1/25</td>\n",
              "      <td>13.0</td>\n",
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              "    <tr>\n",
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              "      <td>A-4</td>\n",
              "      <td>NaN</td>\n",
              "      <td>40</td>\n",
              "      <td>男性</td>\n",
              "      <td>1/26/2020</td>\n",
              "      <td>1/23/2020</td>\n",
              "      <td>愛知県</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>愛知県</td>\n",
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              "      <td>国籍:中国</td>\n",
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              "      <td>https://www.pref.aichi.jp/uploaded/attachment/...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Aichi</td>\n",
              "      <td>China(Mainland)</td>\n",
              "      <td>Aichi Prefecture</td>\n",
              "      <td>Male</td>\n",
              "      <td>116.409685</td>\n",
              "      <td>39.903832</td>\n",
              "      <td>2020/1/26</td>\n",
              "      <td>23.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>A-5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>40</td>\n",
              "      <td>男性</td>\n",
              "      <td>1/28/2020</td>\n",
              "      <td>1/22/2020</td>\n",
              "      <td>愛知県</td>\n",
              "      <td>中華人民共和国</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>中華人民共和国</td>\n",
              "      <td>愛知県</td>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>国籍:中国</td>\n",
              "      <td>https://www.mhlw.go.jp/stf/newpage_09154.html</td>\n",
              "      <td>https://www.pref.aichi.jp/uploaded/attachment/...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Aichi</td>\n",
              "      <td>China(Mainland)</td>\n",
              "      <td>Aichi Prefecture</td>\n",
              "      <td>Male</td>\n",
              "      <td>116.409685</td>\n",
              "      <td>39.903832</td>\n",
              "      <td>2020/1/28</td>\n",
              "      <td>23.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77824</th>\n",
              "      <td>77825</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>30</td>\n",
              "      <td>女性</td>\n",
              "      <td>9/22/2020</td>\n",
              "      <td>NaN</td>\n",
              "      <td>東京都</td>\n",
              "      <td>東京都</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>東京都</td>\n",
              "      <td>東京都</td>\n",
              "      <td>24286</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://www.fukushihoken.metro.tokyo.lg.jp/hod...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Tokyo</td>\n",
              "      <td>Tokyo</td>\n",
              "      <td>Tokyo Metropolitan Government</td>\n",
              "      <td>Female</td>\n",
              "      <td>139.691647</td>\n",
              "      <td>35.689185</td>\n",
              "      <td>2020/9/22</td>\n",
              "      <td>13.0</td>\n",
              "      <td>13</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77825</th>\n",
              "      <td>77826</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>60</td>\n",
              "      <td>女性</td>\n",
              "      <td>9/22/2020</td>\n",
              "      <td>NaN</td>\n",
              "      <td>東京都</td>\n",
              "      <td>東京都</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>東京都</td>\n",
              "      <td>東京都</td>\n",
              "      <td>24287</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://www.fukushihoken.metro.tokyo.lg.jp/hod...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Tokyo</td>\n",
              "      <td>Tokyo</td>\n",
              "      <td>Tokyo Metropolitan Government</td>\n",
              "      <td>Female</td>\n",
              "      <td>139.691647</td>\n",
              "      <td>35.689185</td>\n",
              "      <td>2020/9/22</td>\n",
              "      <td>13.0</td>\n",
              "      <td>13</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77826</th>\n",
              "      <td>77827</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>40</td>\n",
              "      <td>女性</td>\n",
              "      <td>9/22/2020</td>\n",
              "      <td>NaN</td>\n",
              "      <td>東京都</td>\n",
              "      <td>東京都</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>東京都</td>\n",
              "      <td>東京都</td>\n",
              "      <td>24288</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://www.fukushihoken.metro.tokyo.lg.jp/hod...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Tokyo</td>\n",
              "      <td>Tokyo</td>\n",
              "      <td>Tokyo Metropolitan Government</td>\n",
              "      <td>Female</td>\n",
              "      <td>139.691647</td>\n",
              "      <td>35.689185</td>\n",
              "      <td>2020/9/22</td>\n",
              "      <td>13.0</td>\n",
              "      <td>13</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77827</th>\n",
              "      <td>77828</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>20</td>\n",
              "      <td>男性</td>\n",
              "      <td>9/22/2020</td>\n",
              "      <td>NaN</td>\n",
              "      <td>東京都</td>\n",
              "      <td>東京都</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>東京都</td>\n",
              "      <td>東京都</td>\n",
              "      <td>24289</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://www.fukushihoken.metro.tokyo.lg.jp/hod...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Tokyo</td>\n",
              "      <td>Tokyo</td>\n",
              "      <td>Tokyo Metropolitan Government</td>\n",
              "      <td>Male</td>\n",
              "      <td>139.691647</td>\n",
              "      <td>35.689185</td>\n",
              "      <td>2020/9/22</td>\n",
              "      <td>13.0</td>\n",
              "      <td>13</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77828</th>\n",
              "      <td>77829</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>50</td>\n",
              "      <td>男性</td>\n",
              "      <td>9/22/2020</td>\n",
              "      <td>NaN</td>\n",
              "      <td>東京都</td>\n",
              "      <td>東京都</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>東京都</td>\n",
              "      <td>東京都</td>\n",
              "      <td>24290</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://www.fukushihoken.metro.tokyo.lg.jp/hod...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.0</td>\n",
              "      <td>77829.0</td>\n",
              "      <td>157.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1508.0</td>\n",
              "      <td>71648.0</td>\n",
              "      <td>244.0</td>\n",
              "      <td>1855240.0</td>\n",
              "      <td>4579.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Tokyo</td>\n",
              "      <td>Tokyo</td>\n",
              "      <td>Tokyo Metropolitan Government</td>\n",
              "      <td>Male</td>\n",
              "      <td>139.691647</td>\n",
              "      <td>35.689185</td>\n",
              "      <td>2020/9/22</td>\n",
              "      <td>13.0</td>\n",
              "      <td>13</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>77829 rows × 54 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "           通し 厚労省NO 無症状病原体保有者  ... Unnamed: 51 Unnamed: 52 Unnamed: 53\n",
              "0          1     1        NaN  ...         NaN         NaN         NaN\n",
              "1          2     2        NaN  ...         NaN         NaN         NaN\n",
              "2          3     3        NaN  ...         NaN         NaN         NaN\n",
              "3          4     4        NaN  ...         NaN         NaN         NaN\n",
              "4          5     5        NaN  ...         NaN         NaN         NaN\n",
              "...       ...   ...       ...  ...         ...         ...         ...\n",
              "77824  77825    NaN       NaN  ...         NaN         NaN         NaN\n",
              "77825  77826    NaN       NaN  ...         NaN         NaN         NaN\n",
              "77826  77827    NaN       NaN  ...         NaN         NaN         NaN\n",
              "77827  77828    NaN       NaN  ...         NaN         NaN         NaN\n",
              "77828  77829    NaN       NaN  ...         NaN         NaN         NaN\n",
              "\n",
              "[77829 rows x 54 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UDxK1if1q1yS",
        "colab_type": "text"
      },
      "source": [
        "### データの確認\n",
        "- データを読み込んだら、次にデータの内容を確認します\n",
        "- どのようなデータがどのような形であるかがinfoメソッドを使うと確認できます\n",
        "- このデータは全国の個別の新規感染データを持ちます"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VnliRNiPhwwg",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "e80b994d-7b0f-4899-aaaf-292420bc981b"
      },
      "source": [
        "df.info()"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 77829 entries, 0 to 77828\n",
            "Data columns (total 54 columns):\n",
            " #   Column            Non-Null Count  Dtype  \n",
            "---  ------            --------------  -----  \n",
            " 0   通し                77829 non-null  object \n",
            " 1   厚労省NO             3694 non-null   object \n",
            " 2   無症状病原体保有者         921 non-null    object \n",
            " 3   国内                302 non-null    object \n",
            " 4   チャーター便            11 non-null     object \n",
            " 5   年代                77829 non-null  object \n",
            " 6   性別                77829 non-null  object \n",
            " 7   確定日               77829 non-null  object \n",
            " 8   発症日               35574 non-null  object \n",
            " 9   受診都道府県            77829 non-null  object \n",
            " 10  居住都道府県            77826 non-null  object \n",
            " 11  居住                379 non-null    object \n",
            " 12  居住市区町村            47609 non-null  object \n",
            " 13  キー                77826 non-null  object \n",
            " 14  発表                77829 non-null  object \n",
            " 15  都道府県内症例番号         73936 non-null  object \n",
            " 16  市町村内症例番号          13319 non-null  object \n",
            " 17  ステータス             1104 non-null   object \n",
            " 18  備考                5409 non-null   object \n",
            " 19  ソース               4600 non-null   object \n",
            " 20  ソース2              59774 non-null  object \n",
            " 21  ソース3              15207 non-null  object \n",
            " 22  人数                77765 non-null  float64\n",
            " 23  累計                245 non-null    float64\n",
            " 24  前日比               245 non-null    float64\n",
            " 25  発症数               245 non-null    float64\n",
            " 26  死者合計              221 non-null    float64\n",
            " 27  退院数累計             225 non-null    float64\n",
            " 28  退院数               225 non-null    float64\n",
            " 29  PCR検査実施人数         203 non-null    float64\n",
            " 30  PCR検査前日比          201 non-null    float64\n",
            " 31  職業_正誤確認用          916 non-null    object \n",
            " 32  勤務先_正誤確認用         53 non-null     object \n",
            " 33  Hospital Pref     77829 non-null  object \n",
            " 34  Residential Pref  77826 non-null  object \n",
            " 35  Release           77819 non-null  object \n",
            " 36  Gender            77829 non-null  object \n",
            " 37  X                 77829 non-null  float64\n",
            " 38  Y                 77829 non-null  float64\n",
            " 39  確定日YYYYMMDD       77829 non-null  object \n",
            " 40  受診都道府県コード         77458 non-null  float64\n",
            " 41  居住都道府県コード         77189 non-null  object \n",
            " 42  更新日時              1 non-null      object \n",
            " 43  Field2            393 non-null    object \n",
            " 44  Field4            0 non-null      float64\n",
            " 45  Field5            0 non-null      float64\n",
            " 46  Field6            0 non-null      float64\n",
            " 47  Field7            0 non-null      float64\n",
            " 48  Field8            0 non-null      float64\n",
            " 49  Field9            0 non-null      float64\n",
            " 50  Field10           0 non-null      float64\n",
            " 51  Unnamed: 51       1 non-null      float64\n",
            " 52  Unnamed: 52       0 non-null      float64\n",
            " 53  Unnamed: 53       440 non-null    object \n",
            "dtypes: float64(21), object(33)\n",
            "memory usage: 32.1+ MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6O1Yl9ozra61",
        "colab_type": "text"
      },
      "source": [
        "### 必要データの抽出・データの前処理\n",
        "- すべてのデータを使うわけではないので使うデータを抽出し、そのあと前処理します"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dk_xcNrBiB7o",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# 必要なデータを抽出します\n",
        "col_name = [\"年代\", \"性別\", \"確定日\", \"居住都道府県\", \"X\", \"Y\"]\n",
        "\n",
        "covid_jp = df[col_name].copy()"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Cy-5_JhJiDk9",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 402
        },
        "outputId": "b3cc99fe-d0a1-44eb-c024-bdd1bc7d29cd"
      },
      "source": [
        "covid_jp"
      ],
      "execution_count": 8,
      "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>年代</th>\n",
              "      <th>性別</th>\n",
              "      <th>確定日</th>\n",
              "      <th>居住都道府県</th>\n",
              "      <th>X</th>\n",
              "      <th>Y</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>30</td>\n",
              "      <td>男性</td>\n",
              "      <td>1/15/2020</td>\n",
              "      <td>神奈川県</td>\n",
              "      <td>139.642347</td>\n",
              "      <td>35.447504</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>40</td>\n",
              "      <td>男性</td>\n",
              "      <td>1/24/2020</td>\n",
              "      <td>中華人民共和国</td>\n",
              "      <td>116.409685</td>\n",
              "      <td>39.903832</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>30</td>\n",
              "      <td>女性</td>\n",
              "      <td>1/25/2020</td>\n",
              "      <td>中華人民共和国</td>\n",
              "      <td>116.409685</td>\n",
              "      <td>39.903832</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>40</td>\n",
              "      <td>男性</td>\n",
              "      <td>1/26/2020</td>\n",
              "      <td>中華人民共和国</td>\n",
              "      <td>116.409685</td>\n",
              "      <td>39.903832</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>40</td>\n",
              "      <td>男性</td>\n",
              "      <td>1/28/2020</td>\n",
              "      <td>中華人民共和国</td>\n",
              "      <td>116.409685</td>\n",
              "      <td>39.903832</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77824</th>\n",
              "      <td>30</td>\n",
              "      <td>女性</td>\n",
              "      <td>9/22/2020</td>\n",
              "      <td>東京都</td>\n",
              "      <td>139.691647</td>\n",
              "      <td>35.689185</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77825</th>\n",
              "      <td>60</td>\n",
              "      <td>女性</td>\n",
              "      <td>9/22/2020</td>\n",
              "      <td>東京都</td>\n",
              "      <td>139.691647</td>\n",
              "      <td>35.689185</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77826</th>\n",
              "      <td>40</td>\n",
              "      <td>女性</td>\n",
              "      <td>9/22/2020</td>\n",
              "      <td>東京都</td>\n",
              "      <td>139.691647</td>\n",
              "      <td>35.689185</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77827</th>\n",
              "      <td>20</td>\n",
              "      <td>男性</td>\n",
              "      <td>9/22/2020</td>\n",
              "      <td>東京都</td>\n",
              "      <td>139.691647</td>\n",
              "      <td>35.689185</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77828</th>\n",
              "      <td>50</td>\n",
              "      <td>男性</td>\n",
              "      <td>9/22/2020</td>\n",
              "      <td>東京都</td>\n",
              "      <td>139.691647</td>\n",
              "      <td>35.689185</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>77829 rows × 6 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        年代  性別        確定日   居住都道府県           X          Y\n",
              "0      30   男性  1/15/2020     神奈川県  139.642347  35.447504\n",
              "1      40   男性  1/24/2020  中華人民共和国  116.409685  39.903832\n",
              "2      30   女性  1/25/2020  中華人民共和国  116.409685  39.903832\n",
              "3      40   男性  1/26/2020  中華人民共和国  116.409685  39.903832\n",
              "4      40   男性  1/28/2020  中華人民共和国  116.409685  39.903832\n",
              "...    ...  ..        ...      ...         ...        ...\n",
              "77824  30   女性  9/22/2020      東京都  139.691647  35.689185\n",
              "77825  60   女性  9/22/2020      東京都  139.691647  35.689185\n",
              "77826  40   女性  9/22/2020      東京都  139.691647  35.689185\n",
              "77827  20   男性  9/22/2020      東京都  139.691647  35.689185\n",
              "77828  50   男性  9/22/2020      東京都  139.691647  35.689185\n",
              "\n",
              "[77829 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KXHFBnTNrtW3",
        "colab_type": "text"
      },
      "source": [
        "#### 各列の要素を確認し、処理方針を決めます"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vShpPS0oo2rs",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 879
        },
        "outputId": "4f830cf7-359a-4ab0-eacb-207bb0f1e32c"
      },
      "source": [
        "# 各列データのユニーク要素を確認します\n",
        "for col in covid_jp.columns[:-2]:\n",
        "  print(covid_jp[col].unique())"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['30 ' '40 ' '60 ' '50 ' '20 ' '80 ' '70 ' '10 ' '0-10' '不明' '90 ' '100 '\n",
            " '90以上' '\\xa00-10' '100歳以上']\n",
            "['男性' '女性' '不明' '女児' '男児']\n",
            "['1/15/2020' '1/24/2020' '1/25/2020' '1/26/2020' '1/28/2020' '1/29/2020'\n",
            " '1/30/2020' '1/31/2020' '2/1/2020' '2/4/2020' '2/5/2020' '2/7/2020'\n",
            " '2/10/2020' '2/11/2020' '2/13/2020' '2/14/2020' '2/15/2020' '2/16/2020'\n",
            " '2/17/2020' '2/18/2020' '2/19/2020' '2/20/2020' '2/21/2020' '2/22/2020'\n",
            " '2/23/2020' '2/24/2020' '2/25/2020' '2/26/2020' '2/27/2020' '2/28/2020'\n",
            " '2/29/2020' '3/1/2020' '3/2/2020' '3/3/2020' '3/4/2020' '3/5/2020'\n",
            " '3/6/2020' '3/7/2020' '3/8/2020' '3/9/2020' '3/10/2020' '3/11/2020'\n",
            " '3/12/2020' '3/13/2020' '3/14/2020' '3/15/2020' '3/16/2020' '3/17/2020'\n",
            " '3/18/2020' '3/19/2020' '3/20/2020' '3/21/2020' '3/22/2020' '3/23/2020'\n",
            " '3/24/2020' '3/25/2020' '3/26/2020' '3/27/2020' '3/28/2020' '3/29/2020'\n",
            " '3/30/2020' '3/31/2020' '4/1/2020' '4/2/2020' '4/3/2020' '4/4/2020'\n",
            " '4/5/2020' '4/6/2020' '4/7/2020' '4/8/2020' '4/9/2020' '4/10/2020'\n",
            " '4/11/2020' '4/12/2020' '4/13/2020' '4/14/2020' '4/15/2020' '4/16/2020'\n",
            " '4/17/2020' '4/18/2020' '4/19/2020' '4/20/2020' '4/21/2020' '4/22/2020'\n",
            " '4/23/2020' '4/24/2020' '4/25/2020' '4/26/2020' '4/27/2020' '4/28/2020'\n",
            " '4/29/2020' '4/30/2020' '5/1/2020' '5/2/2020' '5/3/2020' '5/4/2020'\n",
            " '5/5/2020' '5/6/2020' '5/7/2020' '5/8/2020' '5/9/2020' '5/10/2020'\n",
            " '5/11/2020' '5/12/2020' '5/13/2020' '5/14/2020' '5/15/2020' '5/16/2020'\n",
            " '5/17/2020' '5/18/2020' '5/19/2020' '5/20/2020' '5/21/2020' '5/22/2020'\n",
            " '5/23/2020' '5/24/2020' '5/25/2020' '5/26/2020' '5/27/2020' '5/28/2020'\n",
            " '5/29/2020' '5/30/2020' '5/31/2020' '6/1/2020' '6/2/2020' '6/3/2020'\n",
            " '6/4/2020' '6/5/2020' '6/6/2020' '6/7/2020' '6/8/2020' '6/9/2020'\n",
            " '6/10/2020' '6/11/2020' '6/12/2020' '6/13/2020' '6/14/2020' '6/15/2020'\n",
            " '6/16/2020' '6/17/2020' '6/18/2020' '6/19/2020' '6/20/2020' '6/21/2020'\n",
            " '6/22/2020' '6/23/2020' '6/24/2020' '6/25/2020' '6/26/2020' '6/27/2020'\n",
            " '6/28/2020' '6/29/2020' '6/30/2020' '7/1/2020' '7/2/2020' '7/3/2020'\n",
            " '7/4/2020' '7/5/2020' '7/6/2020' '7/7/2020' '7/8/2020' '7/9/2020'\n",
            " '7/10/2020' '7/11/2020' '7/12/2020' '7/13/2020' '7/14/2020' '7/15/2020'\n",
            " '7/16/2020' '7/17/2020' '7/18/2020' '7/19/2020' '7/20/2020' '7/21/2020'\n",
            " '7/22/2020' '7/23/2020' '7/24/2020' '7/25/2020' '7/26/2020' '7/27/2020'\n",
            " '7/28/2020' '7/29/2020' '7/30/2020' '7/31/2020' '8/1/2020' '8/2/2020'\n",
            " '8/3/2020' '8/4/2020' '8/5/2020' '8/6/2020' '8/7/2020' '8/8/2020'\n",
            " '8/9/2020' '8/10/2020' '8/11/2020' '8/12/2020' '8/13/2020' '8/14/2020'\n",
            " '8/15/2020' '8/16/2020' '8/17/2020' '8/18/2020' '8/19/2020' '8/20/2020'\n",
            " '8/21/2020' '8/22/2020' '8/23/2020' '8/24/2020' '8/25/2020' '8/26/2020'\n",
            " '8/27/2020' '8/28/2020' '8/29/2020' '8/30/2020' '8/31/2020' '9/1/2020'\n",
            " '9/2/2020' '9/3/2020' '9/4/2020' '9/5/2020' '9/6/2020' '9/7/2020'\n",
            " '9/8/2020' '9/9/2020' '9/10/2020' '9/11/2020' '9/12/2020' '9/13/2020'\n",
            " '9/14/2020' '9/15/2020' '9/16/2020' '9/17/2020' '9/18/2020' '9/19/2020'\n",
            " '9/20/2020' '9/21/2020' '9/22/2020']\n",
            "['神奈川県' '中華人民共和国' '奈良県' '大阪府' '三重県' '京都府' '千葉県' '不明' '埼玉県' '東京都' '和歌山県'\n",
            " '沖縄県' '愛知県' '北海道' '福岡県' '石川県' '熊本県' '栃木県' '長野県' '徳島県' '岐阜県' '滋賀県' '静岡県'\n",
            " '高知県' '宮城県' '兵庫県' '愛媛県' '新潟県' '大分県' '山口県' '宮崎県' '岡山県' '山梨県' '秋田県' '広島県'\n",
            " '福島県' '群馬県' '佐賀県' '長崎県' '香川県' '茨城県' '福井県' 'スペイン' 'アイルランド' '南アフリカ共和国'\n",
            " 'ジンバブエ共和国' '青森県' 'フィリピン' 'アメリカ' 'カナダ' 'イギリス' 'フランス' '富山県' '山形県' 'インドネシア'\n",
            " '鹿児島県' '島根県' '鳥取県' 'アフガニスタン' '岩手県' nan]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vOKP-dn6r5W7",
        "colab_type": "text"
      },
      "source": [
        "#### 前処理方針\n",
        "- 年代の列はすべて文字列となっている => 数値計算として扱うため数値型にしておきたい\n",
        "- 不明は雑に日本の平均年齢の50代にしておく。実際はこの辺はケースバイケース。この場合だと感染者の平均年齢にした方が良いかもしれない\n",
        "- 性別は、男性・女性・不明の三つに統一。男児、女児は置き換える\n",
        "- 日付データはdatetime型に置き換える。\n",
        "\n",
        "### mapメソッド、applyメソッド\n",
        "- pandasにある\n",
        "  - mapメソッドはSeriesに対して適用される\n",
        "  - https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.map.html\n",
        "  - applyメソッドは1列全体、1行全体（引数axisに1を渡す）に対して適用される\n",
        "  - https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.apply.html#pandas.DataFrame.apply\n",
        "- それぞれメソッドの第一引数に関数を渡してやるとそれが実行される\n",
        "  - 例えばすべての列を1列ずつ合計したい場合は、df.apply(sum)でいける（はず）\n",
        "\n",
        "#### 雑誌ではreplaceを使ってやったけど、なんかほかに良い処理ないかなぁ・・・\n",
        "- 再帰関数を使って削ってやるってアイデアもあったんですけど、それで対応しきれない可能性も（今回だと\"'\\xa00-10'\"）\n",
        "- 男・女・不明は正規表現で「男」があると男性に置き換えるなんて処理もありかなぁ\n",
        "- とか思っていますが、何か良いアイデアとか普段こうするとかあったら教えてください\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Lznhieh-r4-T",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "covid_jp[\"年代\"] = covid_jp[\"年代\"].map(lambda x: x.replace(\"不明\", \"50\"))"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZYtKoCY0o_RP",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 52
        },
        "outputId": "d97a8a13-c4c2-4021-8a3d-2d0898b7e3e6"
      },
      "source": [
        "covid_jp[\"年代\"].unique()"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['30 ', '40 ', '60 ', '50 ', '20 ', '80 ', '70 ', '10 ', '0-10',\n",
              "       '50', '90 ', '100 ', '90以上', '\\xa00-10', '100歳以上'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZnPh0hePt3Li",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "covid_jp[\"年代\"] = covid_jp[\"年代\"].map(lambda x: x.replace(\"0-10\", \"0\"))\n",
        "covid_jp[\"年代\"] = covid_jp[\"年代\"].map(lambda x: x.replace(\"90以上\", \"90\"))\n",
        "covid_jp[\"年代\"] = covid_jp[\"年代\"].map(lambda x: x.replace(\"\\xa00-10\", \"0\"))\n",
        "covid_jp[\"年代\"] = covid_jp[\"年代\"].map(lambda x: x.replace('100歳以上', \"100\"))\n",
        "covid_jp[\"年代\"] = covid_jp[\"年代\"].map(lambda x: int(x))"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TpEWVu3ivRvJ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "ce21e078-e763-41e9-bf9f-874bfbad21f1"
      },
      "source": [
        "covid_jp[\"年代\"].unique()"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 30,  40,  60,  50,  20,  80,  70,  10,   0,  90, 100])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OSyKLUfzvsHl",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import re"
      ],
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "khBnx1Acw6qx",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "re.search(\"男\", \"女性\")"
      ],
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ikFRTW58yedC",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def update_sex(x):\n",
        "  if re.search(\"男\", x):\n",
        "    return \"男性\"\n",
        "  elif re.search(\"女\", x):\n",
        "    return \"女性\"\n",
        "  else:\n",
        "    return x"
      ],
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "w_RLWG9Qy8It",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "3a03126a-e7c8-4a7b-9716-c13d0144d742"
      },
      "source": [
        "covid_jp[\"性別\"].map(lambda x: update_sex(x)).unique()"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['男性', '女性', '不明'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ytrtQpGlzD3r",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "covid_jp[\"性別\"] = covid_jp[\"性別\"].apply(lambda x: update_sex(x))"
      ],
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ObzUvgyzzQNE",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "d2ee7825-bacb-443e-e0c4-29623a5ccc08"
      },
      "source": [
        "covid_jp[\"性別\"].unique()"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['男性', '女性', '不明'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CV7SiDtXzSt_",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "covid_jp[\"確定日\"] = pd.to_datetime(covid_jp[\"確定日\"])"
      ],
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SuehPSL_zdM7",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 246
        },
        "outputId": "d7613896-9bc9-4568-ffc3-fd9b08226b5c"
      },
      "source": [
        "covid_jp.info()"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 77829 entries, 0 to 77828\n",
            "Data columns (total 6 columns):\n",
            " #   Column  Non-Null Count  Dtype         \n",
            "---  ------  --------------  -----         \n",
            " 0   年代      77829 non-null  int64         \n",
            " 1   性別      77829 non-null  object        \n",
            " 2   確定日     77829 non-null  datetime64[ns]\n",
            " 3   居住都道府県  77826 non-null  object        \n",
            " 4   X       77829 non-null  float64       \n",
            " 5   Y       77829 non-null  float64       \n",
            "dtypes: datetime64[ns](1), float64(2), int64(1), object(2)\n",
            "memory usage: 3.6+ MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UozgWWu_zfJZ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        },
        "outputId": "bc266ae1-797c-4eb2-e38e-93f9f5a37194"
      },
      "source": [
        "covid_jp.tail()"
      ],
      "execution_count": 22,
      "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>年代</th>\n",
              "      <th>性別</th>\n",
              "      <th>確定日</th>\n",
              "      <th>居住都道府県</th>\n",
              "      <th>X</th>\n",
              "      <th>Y</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>77824</th>\n",
              "      <td>30</td>\n",
              "      <td>女性</td>\n",
              "      <td>2020-09-22</td>\n",
              "      <td>東京都</td>\n",
              "      <td>139.691647</td>\n",
              "      <td>35.689185</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77825</th>\n",
              "      <td>60</td>\n",
              "      <td>女性</td>\n",
              "      <td>2020-09-22</td>\n",
              "      <td>東京都</td>\n",
              "      <td>139.691647</td>\n",
              "      <td>35.689185</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77826</th>\n",
              "      <td>40</td>\n",
              "      <td>女性</td>\n",
              "      <td>2020-09-22</td>\n",
              "      <td>東京都</td>\n",
              "      <td>139.691647</td>\n",
              "      <td>35.689185</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77827</th>\n",
              "      <td>20</td>\n",
              "      <td>男性</td>\n",
              "      <td>2020-09-22</td>\n",
              "      <td>東京都</td>\n",
              "      <td>139.691647</td>\n",
              "      <td>35.689185</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77828</th>\n",
              "      <td>50</td>\n",
              "      <td>男性</td>\n",
              "      <td>2020-09-22</td>\n",
              "      <td>東京都</td>\n",
              "      <td>139.691647</td>\n",
              "      <td>35.689185</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       年代  性別        確定日 居住都道府県           X          Y\n",
              "77824  30  女性 2020-09-22    東京都  139.691647  35.689185\n",
              "77825  60  女性 2020-09-22    東京都  139.691647  35.689185\n",
              "77826  40  女性 2020-09-22    東京都  139.691647  35.689185\n",
              "77827  20  男性 2020-09-22    東京都  139.691647  35.689185\n",
              "77828  50  男性 2020-09-22    東京都  139.691647  35.689185"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "h9A_AStI1Ful",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "covid_jp[\"count\"] = 1"
      ],
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Fod-lv6mzjP2",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# データの保存\n",
        "covid_jp.to_csv(\"covid_jp.csv\")"
      ],
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9yndRVw35oUa",
        "colab_type": "text"
      },
      "source": [
        "## Plotly Expressによる可視化\n",
        "- Plotly Expressとはplotlyというグラフパッケージを簡単に使えるパッケージ\n",
        "- 関数（df, x=\"列名1\", y=\"列名2\"）のように簡単に可視化ができる\n",
        "- その際にこのデータで重要になるのがデータの集計"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "U9DledkJ0V7M",
        "colab_type": "text"
      },
      "source": [
        "### データの集計\n",
        "- 今回のデータは個別のデータであるため、都道府県のデータや日別のデータを見る際には集計しないといけない\n",
        "- そのような際に使えるのがgroupbyメソッド\n",
        "  - https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.groupby.html\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IL6uitVP0UFf",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "test_group = covid_jp.groupby(\"居住都道府県\")"
      ],
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ylYfp12o1NhE",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "test_group[\"count\"].sum()\n",
        "\n",
        "test_group_count = pd.DataFrame(test_group[\"count\"].sum())"
      ],
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "neb7fXRX1Nq1",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "37757f7d-03db-4048-bc66-25d0d3aea819"
      },
      "source": [
        "test_group[\"年代\"].mean()\n",
        "test_group_age = pd.DataFrame(test_group[\"年代\"].mean())\n",
        "test_group_count.merge(test_group_age, left_index=True, right_index=True)"
      ],
      "execution_count": 27,
      "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>count</th>\n",
              "      <th>年代</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>居住都道府県</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>アイルランド</th>\n",
              "      <td>2</td>\n",
              "      <td>40.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>アフガニスタン</th>\n",
              "      <td>1</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>アメリカ</th>\n",
              "      <td>2</td>\n",
              "      <td>35.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>イギリス</th>\n",
              "      <td>4</td>\n",
              "      <td>37.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>インドネシア</th>\n",
              "      <td>3</td>\n",
              "      <td>43.333333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>カナダ</th>\n",
              "      <td>1</td>\n",
              "      <td>60.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ジンバブエ共和国</th>\n",
              "      <td>1</td>\n",
              "      <td>40.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>スペイン</th>\n",
              "      <td>1</td>\n",
              "      <td>50.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>フィリピン</th>\n",
              "      <td>3</td>\n",
              "      <td>40.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>フランス</th>\n",
              "      <td>1</td>\n",
              "      <td>70.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>三重県</th>\n",
              "      <td>369</td>\n",
              "      <td>32.764228</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>不明</th>\n",
              "      <td>608</td>\n",
              "      <td>38.075658</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>中華人民共和国</th>\n",
              "      <td>18</td>\n",
              "      <td>41.111111</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>京都府</th>\n",
              "      <td>1594</td>\n",
              "      <td>38.343789</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>佐賀県</th>\n",
              "      <td>249</td>\n",
              "      <td>35.943775</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>兵庫県</th>\n",
              "      <td>2601</td>\n",
              "      <td>38.677432</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>北海道</th>\n",
              "      <td>1818</td>\n",
              "      <td>49.378438</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>千葉県</th>\n",
              "      <td>3564</td>\n",
              "      <td>38.316498</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>南アフリカ共和国</th>\n",
              "      <td>1</td>\n",
              "      <td>40.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>和歌山県</th>\n",
              "      <td>229</td>\n",
              "      <td>35.676856</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>埼玉県</th>\n",
              "      <td>4327</td>\n",
              "      <td>38.063323</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>大分県</th>\n",
              "      <td>159</td>\n",
              "      <td>41.698113</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>大阪府</th>\n",
              "      <td>10140</td>\n",
              "      <td>37.171598</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>奈良県</th>\n",
              "      <td>565</td>\n",
              "      <td>33.929204</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>宮城県</th>\n",
              "      <td>313</td>\n",
              "      <td>31.948882</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>宮崎県</th>\n",
              "      <td>363</td>\n",
              "      <td>41.349862</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>富山県</th>\n",
              "      <td>406</td>\n",
              "      <td>47.980296</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>山口県</th>\n",
              "      <td>185</td>\n",
              "      <td>40.216216</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>山形県</th>\n",
              "      <td>77</td>\n",
              "      <td>42.467532</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>山梨県</th>\n",
              "      <td>178</td>\n",
              "      <td>42.752809</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>岐阜県</th>\n",
              "      <td>566</td>\n",
              "      <td>35.636042</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>岡山県</th>\n",
              "      <td>148</td>\n",
              "      <td>36.689189</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>岩手県</th>\n",
              "      <td>19</td>\n",
              "      <td>34.210526</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>島根県</th>\n",
              "      <td>137</td>\n",
              "      <td>17.591241</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>広島県</th>\n",
              "      <td>461</td>\n",
              "      <td>41.561822</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>徳島県</th>\n",
              "      <td>86</td>\n",
              "      <td>48.488372</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>愛媛県</th>\n",
              "      <td>112</td>\n",
              "      <td>46.964286</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>愛知県</th>\n",
              "      <td>5101</td>\n",
              "      <td>37.180945</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>新潟県</th>\n",
              "      <td>144</td>\n",
              "      <td>38.680556</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>東京都</th>\n",
              "      <td>24623</td>\n",
              "      <td>35.312513</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>栃木県</th>\n",
              "      <td>320</td>\n",
              "      <td>36.937500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>沖縄県</th>\n",
              "      <td>2349</td>\n",
              "      <td>40.149000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>滋賀県</th>\n",
              "      <td>476</td>\n",
              "      <td>40.945378</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>熊本県</th>\n",
              "      <td>584</td>\n",
              "      <td>38.202055</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>石川県</th>\n",
              "      <td>621</td>\n",
              "      <td>51.078905</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>神奈川県</th>\n",
              "      <td>6172</td>\n",
              "      <td>38.788075</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>福井県</th>\n",
              "      <td>162</td>\n",
              "      <td>46.728395</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>福岡県</th>\n",
              "      <td>4902</td>\n",
              "      <td>37.860057</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>福島県</th>\n",
              "      <td>182</td>\n",
              "      <td>40.109890</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>秋田県</th>\n",
              "      <td>48</td>\n",
              "      <td>31.458333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>群馬県</th>\n",
              "      <td>510</td>\n",
              "      <td>37.666667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>茨城県</th>\n",
              "      <td>521</td>\n",
              "      <td>39.942418</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>長崎県</th>\n",
              "      <td>378</td>\n",
              "      <td>41.243386</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>長野県</th>\n",
              "      <td>291</td>\n",
              "      <td>36.975945</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>青森県</th>\n",
              "      <td>30</td>\n",
              "      <td>53.333333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>静岡県</th>\n",
              "      <td>494</td>\n",
              "      <td>41.518219</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>香川県</th>\n",
              "      <td>86</td>\n",
              "      <td>46.744186</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>高知県</th>\n",
              "      <td>126</td>\n",
              "      <td>43.650794</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>鳥取県</th>\n",
              "      <td>22</td>\n",
              "      <td>29.545455</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>鹿児島県</th>\n",
              "      <td>372</td>\n",
              "      <td>41.989247</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "          count         年代\n",
              "居住都道府県                    \n",
              "アイルランド        2  40.000000\n",
              "アフガニスタン       1  30.000000\n",
              "アメリカ          2  35.000000\n",
              "イギリス          4  37.500000\n",
              "インドネシア        3  43.333333\n",
              "カナダ           1  60.000000\n",
              "ジンバブエ共和国      1  40.000000\n",
              "スペイン          1  50.000000\n",
              "フィリピン         3  40.000000\n",
              "フランス          1  70.000000\n",
              "三重県         369  32.764228\n",
              "不明          608  38.075658\n",
              "中華人民共和国      18  41.111111\n",
              "京都府        1594  38.343789\n",
              "佐賀県         249  35.943775\n",
              "兵庫県        2601  38.677432\n",
              "北海道        1818  49.378438\n",
              "千葉県        3564  38.316498\n",
              "南アフリカ共和国      1  40.000000\n",
              "和歌山県        229  35.676856\n",
              "埼玉県        4327  38.063323\n",
              "大分県         159  41.698113\n",
              "大阪府       10140  37.171598\n",
              "奈良県         565  33.929204\n",
              "宮城県         313  31.948882\n",
              "宮崎県         363  41.349862\n",
              "富山県         406  47.980296\n",
              "山口県         185  40.216216\n",
              "山形県          77  42.467532\n",
              "山梨県         178  42.752809\n",
              "岐阜県         566  35.636042\n",
              "岡山県         148  36.689189\n",
              "岩手県          19  34.210526\n",
              "島根県         137  17.591241\n",
              "広島県         461  41.561822\n",
              "徳島県          86  48.488372\n",
              "愛媛県         112  46.964286\n",
              "愛知県        5101  37.180945\n",
              "新潟県         144  38.680556\n",
              "東京都       24623  35.312513\n",
              "栃木県         320  36.937500\n",
              "沖縄県        2349  40.149000\n",
              "滋賀県         476  40.945378\n",
              "熊本県         584  38.202055\n",
              "石川県         621  51.078905\n",
              "神奈川県       6172  38.788075\n",
              "福井県         162  46.728395\n",
              "福岡県        4902  37.860057\n",
              "福島県         182  40.109890\n",
              "秋田県          48  31.458333\n",
              "群馬県         510  37.666667\n",
              "茨城県         521  39.942418\n",
              "長崎県         378  41.243386\n",
              "長野県         291  36.975945\n",
              "青森県          30  53.333333\n",
              "静岡県         494  41.518219\n",
              "香川県          86  46.744186\n",
              "高知県         126  43.650794\n",
              "鳥取県          22  29.545455\n",
              "鹿児島県        372  41.989247"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rgXqZP5Z1NcT",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "701f6fd8-e072-4757-f461-4b12addb3c30"
      },
      "source": [
        "count_and_mean_age = test_group_count.merge(test_group_age, left_index=True, right_index=True)\n",
        "count_and_mean_age = count_and_mean_age.reset_index()\n",
        "count_and_mean_age"
      ],
      "execution_count": null,
      "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>居住都道府県</th>\n",
              "      <th>count</th>\n",
              "      <th>年代</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>アイルランド</td>\n",
              "      <td>2</td>\n",
              "      <td>40.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>アフガニスタン</td>\n",
              "      <td>1</td>\n",
              "      <td>30.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>アメリカ</td>\n",
              "      <td>2</td>\n",
              "      <td>35.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>イギリス</td>\n",
              "      <td>4</td>\n",
              "      <td>37.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>インドネシア</td>\n",
              "      <td>3</td>\n",
              "      <td>43.333333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>カナダ</td>\n",
              "      <td>1</td>\n",
              "      <td>60.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>ジンバブエ共和国</td>\n",
              "      <td>1</td>\n",
              "      <td>40.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>スペイン</td>\n",
              "      <td>1</td>\n",
              "      <td>50.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>フィリピン</td>\n",
              "      <td>3</td>\n",
              "      <td>40.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>フランス</td>\n",
              "      <td>1</td>\n",
              "      <td>70.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>三重県</td>\n",
              "      <td>369</td>\n",
              "      <td>32.764228</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>不明</td>\n",
              "      <td>608</td>\n",
              "      <td>38.075658</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>中華人民共和国</td>\n",
              "      <td>18</td>\n",
              "      <td>41.111111</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>京都府</td>\n",
              "      <td>1594</td>\n",
              "      <td>38.343789</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>佐賀県</td>\n",
              "      <td>249</td>\n",
              "      <td>35.943775</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>兵庫県</td>\n",
              "      <td>2601</td>\n",
              "      <td>38.677432</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>北海道</td>\n",
              "      <td>1818</td>\n",
              "      <td>49.378438</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>千葉県</td>\n",
              "      <td>3564</td>\n",
              "      <td>38.316498</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>南アフリカ共和国</td>\n",
              "      <td>1</td>\n",
              "      <td>40.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>和歌山県</td>\n",
              "      <td>229</td>\n",
              "      <td>35.676856</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>埼玉県</td>\n",
              "      <td>4327</td>\n",
              "      <td>38.063323</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>大分県</td>\n",
              "      <td>159</td>\n",
              "      <td>41.698113</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>大阪府</td>\n",
              "      <td>10140</td>\n",
              "      <td>37.171598</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>奈良県</td>\n",
              "      <td>565</td>\n",
              "      <td>33.929204</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>宮城県</td>\n",
              "      <td>313</td>\n",
              "      <td>31.948882</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>宮崎県</td>\n",
              "      <td>363</td>\n",
              "      <td>41.349862</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>富山県</td>\n",
              "      <td>406</td>\n",
              "      <td>47.980296</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>山口県</td>\n",
              "      <td>185</td>\n",
              "      <td>40.216216</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>山形県</td>\n",
              "      <td>77</td>\n",
              "      <td>42.467532</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>山梨県</td>\n",
              "      <td>178</td>\n",
              "      <td>42.752809</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>岐阜県</td>\n",
              "      <td>566</td>\n",
              "      <td>35.636042</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>岡山県</td>\n",
              "      <td>148</td>\n",
              "      <td>36.689189</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>岩手県</td>\n",
              "      <td>19</td>\n",
              "      <td>34.210526</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>島根県</td>\n",
              "      <td>137</td>\n",
              "      <td>17.591241</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>広島県</td>\n",
              "      <td>461</td>\n",
              "      <td>41.561822</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>徳島県</td>\n",
              "      <td>86</td>\n",
              "      <td>48.488372</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>愛媛県</td>\n",
              "      <td>112</td>\n",
              "      <td>46.964286</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>愛知県</td>\n",
              "      <td>5101</td>\n",
              "      <td>37.180945</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>新潟県</td>\n",
              "      <td>144</td>\n",
              "      <td>38.680556</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>東京都</td>\n",
              "      <td>24623</td>\n",
              "      <td>35.312513</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>栃木県</td>\n",
              "      <td>320</td>\n",
              "      <td>36.937500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>沖縄県</td>\n",
              "      <td>2349</td>\n",
              "      <td>40.149000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>滋賀県</td>\n",
              "      <td>476</td>\n",
              "      <td>40.945378</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>熊本県</td>\n",
              "      <td>584</td>\n",
              "      <td>38.202055</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>石川県</td>\n",
              "      <td>621</td>\n",
              "      <td>51.078905</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>神奈川県</td>\n",
              "      <td>6172</td>\n",
              "      <td>38.788075</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>福井県</td>\n",
              "      <td>162</td>\n",
              "      <td>46.728395</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>福岡県</td>\n",
              "      <td>4902</td>\n",
              "      <td>37.860057</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>福島県</td>\n",
              "      <td>182</td>\n",
              "      <td>40.109890</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>49</th>\n",
              "      <td>秋田県</td>\n",
              "      <td>48</td>\n",
              "      <td>31.458333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50</th>\n",
              "      <td>群馬県</td>\n",
              "      <td>510</td>\n",
              "      <td>37.666667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>51</th>\n",
              "      <td>茨城県</td>\n",
              "      <td>521</td>\n",
              "      <td>39.942418</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>52</th>\n",
              "      <td>長崎県</td>\n",
              "      <td>378</td>\n",
              "      <td>41.243386</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53</th>\n",
              "      <td>長野県</td>\n",
              "      <td>291</td>\n",
              "      <td>36.975945</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>54</th>\n",
              "      <td>青森県</td>\n",
              "      <td>30</td>\n",
              "      <td>53.333333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>55</th>\n",
              "      <td>静岡県</td>\n",
              "      <td>494</td>\n",
              "      <td>41.518219</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>香川県</td>\n",
              "      <td>86</td>\n",
              "      <td>46.744186</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>高知県</td>\n",
              "      <td>126</td>\n",
              "      <td>43.650794</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>鳥取県</td>\n",
              "      <td>22</td>\n",
              "      <td>29.545455</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59</th>\n",
              "      <td>鹿児島県</td>\n",
              "      <td>372</td>\n",
              "      <td>41.989247</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "      居住都道府県  count         年代\n",
              "0     アイルランド      2  40.000000\n",
              "1    アフガニスタン      1  30.000000\n",
              "2       アメリカ      2  35.000000\n",
              "3       イギリス      4  37.500000\n",
              "4     インドネシア      3  43.333333\n",
              "5        カナダ      1  60.000000\n",
              "6   ジンバブエ共和国      1  40.000000\n",
              "7       スペイン      1  50.000000\n",
              "8      フィリピン      3  40.000000\n",
              "9       フランス      1  70.000000\n",
              "10       三重県    369  32.764228\n",
              "11        不明    608  38.075658\n",
              "12   中華人民共和国     18  41.111111\n",
              "13       京都府   1594  38.343789\n",
              "14       佐賀県    249  35.943775\n",
              "15       兵庫県   2601  38.677432\n",
              "16       北海道   1818  49.378438\n",
              "17       千葉県   3564  38.316498\n",
              "18  南アフリカ共和国      1  40.000000\n",
              "19      和歌山県    229  35.676856\n",
              "20       埼玉県   4327  38.063323\n",
              "21       大分県    159  41.698113\n",
              "22       大阪府  10140  37.171598\n",
              "23       奈良県    565  33.929204\n",
              "24       宮城県    313  31.948882\n",
              "25       宮崎県    363  41.349862\n",
              "26       富山県    406  47.980296\n",
              "27       山口県    185  40.216216\n",
              "28       山形県     77  42.467532\n",
              "29       山梨県    178  42.752809\n",
              "30       岐阜県    566  35.636042\n",
              "31       岡山県    148  36.689189\n",
              "32       岩手県     19  34.210526\n",
              "33       島根県    137  17.591241\n",
              "34       広島県    461  41.561822\n",
              "35       徳島県     86  48.488372\n",
              "36       愛媛県    112  46.964286\n",
              "37       愛知県   5101  37.180945\n",
              "38       新潟県    144  38.680556\n",
              "39       東京都  24623  35.312513\n",
              "40       栃木県    320  36.937500\n",
              "41       沖縄県   2349  40.149000\n",
              "42       滋賀県    476  40.945378\n",
              "43       熊本県    584  38.202055\n",
              "44       石川県    621  51.078905\n",
              "45      神奈川県   6172  38.788075\n",
              "46       福井県    162  46.728395\n",
              "47       福岡県   4902  37.860057\n",
              "48       福島県    182  40.109890\n",
              "49       秋田県     48  31.458333\n",
              "50       群馬県    510  37.666667\n",
              "51       茨城県    521  39.942418\n",
              "52       長崎県    378  41.243386\n",
              "53       長野県    291  36.975945\n",
              "54       青森県     30  53.333333\n",
              "55       静岡県    494  41.518219\n",
              "56       香川県     86  46.744186\n",
              "57       高知県    126  43.650794\n",
              "58       鳥取県     22  29.545455\n",
              "59      鹿児島県    372  41.989247"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 78
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PjREqOXS3hUx",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import plotly.express as px"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Y2n6vqKe1jPU",
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        },
        "outputId": "35290d68-9d35-4966-aa8b-b0f3b589ca53"
      },
      "source": [
        "count_and_mean_age = count_and_mean_age.sort_values(\"年代\")\n",
        "px.bar(count_and_mean_age, x=\"居住都道府県\", y=\"年代\")"
      ],
      "execution_count": null,
      "outputs": [
        {
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        "outputId": "8bf97688-3f23-4f92-e19d-7ae4260e6c70"
      },
      "source": [
        "# 居住都道府県：鳥取、年代20以下でデータフレームをフィルタする\n",
        "covid_jp[(covid_jp[\"居住都道府県\"] == \"島根県\") & (covid_jp[\"年代\"] < 20)]"
      ],
      "execution_count": null,
      "outputs": [
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              "      <td>10</td>\n",
              "      <td>女性</td>\n",
              "      <td>2020-04-09</td>\n",
              "      <td>島根県</td>\n",
              "      <td>133.048522</td>\n",
              "      <td>35.468092</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6347</th>\n",
              "      <td>10</td>\n",
              "      <td>女性</td>\n",
              "      <td>2020-04-10</td>\n",
              "      <td>島根県</td>\n",
              "      <td>133.048522</td>\n",
              "      <td>35.468092</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7029</th>\n",
              "      <td>10</td>\n",
              "      <td>男性</td>\n",
              "      <td>2020-04-11</td>\n",
              "      <td>島根県</td>\n",
              "      <td>133.048522</td>\n",
              "      <td>35.468092</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8261</th>\n",
              "      <td>0</td>\n",
              "      <td>男性</td>\n",
              "      <td>2020-04-14</td>\n",
              "      <td>島根県</td>\n",
              "      <td>133.048522</td>\n",
              "      <td>35.468092</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13598</th>\n",
              "      <td>0</td>\n",
              "      <td>男性</td>\n",
              "      <td>2020-04-26</td>\n",
              "      <td>島根県</td>\n",
              "      <td>132.754684</td>\n",
              "      <td>35.367023</td>\n",
              "      <td>1</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50010</th>\n",
              "      <td>10</td>\n",
              "      <td>男性</td>\n",
              "      <td>2020-08-11</td>\n",
              "      <td>島根県</td>\n",
              "      <td>133.048522</td>\n",
              "      <td>35.468092</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50011</th>\n",
              "      <td>10</td>\n",
              "      <td>男性</td>\n",
              "      <td>2020-08-11</td>\n",
              "      <td>島根県</td>\n",
              "      <td>133.048522</td>\n",
              "      <td>35.468092</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50012</th>\n",
              "      <td>10</td>\n",
              "      <td>男性</td>\n",
              "      <td>2020-08-11</td>\n",
              "      <td>島根県</td>\n",
              "      <td>133.048522</td>\n",
              "      <td>35.468092</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>51534</th>\n",
              "      <td>10</td>\n",
              "      <td>男性</td>\n",
              "      <td>2020-08-12</td>\n",
              "      <td>島根県</td>\n",
              "      <td>133.048522</td>\n",
              "      <td>35.468092</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>51535</th>\n",
              "      <td>10</td>\n",
              "      <td>男性</td>\n",
              "      <td>2020-08-12</td>\n",
              "      <td>島根県</td>\n",
              "      <td>133.048522</td>\n",
              "      <td>35.468092</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>102 rows × 7 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       年代  性別        確定日 居住都道府県           X          Y  count\n",
              "5472   10  女性 2020-04-09    島根県  133.048522  35.468092      1\n",
              "6347   10  女性 2020-04-10    島根県  133.048522  35.468092      1\n",
              "7029   10  男性 2020-04-11    島根県  133.048522  35.468092      1\n",
              "8261    0  男性 2020-04-14    島根県  133.048522  35.468092      1\n",
              "13598   0  男性 2020-04-26    島根県  132.754684  35.367023      1\n",
              "...    ..  ..        ...    ...         ...        ...    ...\n",
              "50010  10  男性 2020-08-11    島根県  133.048522  35.468092      1\n",
              "50011  10  男性 2020-08-11    島根県  133.048522  35.468092      1\n",
              "50012  10  男性 2020-08-11    島根県  133.048522  35.468092      1\n",
              "51534  10  男性 2020-08-12    島根県  133.048522  35.468092      1\n",
              "51535  10  男性 2020-08-12    島根県  133.048522  35.468092      1\n",
              "\n",
              "[102 rows x 7 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 99
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ibe21vx06ksW",
        "colab_type": "text"
      },
      "source": [
        "### groupbyでもっと詳細に\n",
        "- byのところに列名を渡すことにより、条件を付けくわえられる"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "n7Qccd7C1jLd",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 402
        },
        "outputId": "21d90e67-fde7-41ef-9151-f589f6ade37f"
      },
      "source": [
        "data = covid_jp.groupby([\"年代\", \"性別\", \"居住都道府県\"]).sum()\n",
        "data = data.reset_index()\n",
        "data = data.drop([\"X\", \"Y\"], axis=1)\n",
        "data"
      ],
      "execution_count": null,
      "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>年代</th>\n",
              "      <th>性別</th>\n",
              "      <th>居住都道府県</th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>不明</td>\n",
              "      <td>京都府</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0</td>\n",
              "      <td>不明</td>\n",
              "      <td>北海道</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0</td>\n",
              "      <td>不明</td>\n",
              "      <td>山口県</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0</td>\n",
              "      <td>不明</td>\n",
              "      <td>広島県</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>不明</td>\n",
              "      <td>東京都</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1003</th>\n",
              "      <td>90</td>\n",
              "      <td>男性</td>\n",
              "      <td>高知県</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1004</th>\n",
              "      <td>90</td>\n",
              "      <td>男性</td>\n",
              "      <td>鹿児島県</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1005</th>\n",
              "      <td>100</td>\n",
              "      <td>女性</td>\n",
              "      <td>大阪府</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1006</th>\n",
              "      <td>100</td>\n",
              "      <td>女性</td>\n",
              "      <td>山梨県</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1007</th>\n",
              "      <td>100</td>\n",
              "      <td>女性</td>\n",
              "      <td>東京都</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1008 rows × 4 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       年代  性別 居住都道府県  count\n",
              "0       0  不明    京都府      3\n",
              "1       0  不明    北海道      1\n",
              "2       0  不明    山口県      1\n",
              "3       0  不明    広島県      5\n",
              "4       0  不明    東京都      1\n",
              "...   ...  ..    ...    ...\n",
              "1003   90  男性    高知県      1\n",
              "1004   90  男性   鹿児島県      5\n",
              "1005  100  女性    大阪府      3\n",
              "1006  100  女性    山梨県      1\n",
              "1007  100  女性    東京都      1\n",
              "\n",
              "[1008 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 105
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BM9Nscw3zzP2",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "e5daac30-3701-4a09-c51a-48097c4431ad"
      },
      "source": [
        "data_kyoto = data[data[\"居住都道府県\"] == \"京都府\"]\n",
        "px.pie(data_kyoto, names=\"性別\", values=\"count\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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          },
          "metadata": {
            "tags": []
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        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xCMxAwow7sIe",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "c3a65cfa-0c88-4fc6-8908-4ef98a80aa23"
      },
      "source": [
        "fig = px.treemap(data, path=[\"居住都道府県\", \"性別\", \"年代\"], values=\"count\")\n",
        "fig.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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              "                            \n",
              "var gd = document.getElementById('ecfaf474-aa5d-4c5e-9e67-16f3f544e79b');\n",
              "var x = new MutationObserver(function (mutations, observer) {{\n",
              "        var display = window.getComputedStyle(gd).display;\n",
              "        if (!display || display === 'none') {{\n",
              "            console.log([gd, 'removed!']);\n",
              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
              "        }}\n",
              "}});\n",
              "\n",
              "// 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>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0pABJMKD9Gwq",
        "colab_type": "text"
      },
      "source": [
        "## Dashでより優雅にデータを見る\n",
        "- Dashはもともとウェブフレームワークだったけど、jupyterでも使えるようになりました。\n",
        "- その後コラボでも使えるようになりました。\n",
        "- メリットは頑張って文字の入力を行い、シフトエンターを押してグラフを切り替えなくてよいこと\n",
        "- 今回はjuptyer_dashを使います\n",
        "\n",
        "### Dashとは\n",
        "- react, plotly, flaskを組み合わせて作られたウェブフレームワーク\n",
        "- クラスから作れるコンポーネントを組み合わせてレイアウトを作成します\n",
        "- コンポーネントは色々提供されていますが、本で用いたのはHTML要素を作るdash_html_componentsと様々なツールを作成するdash_core_componentsです\n",
        "- それらを組み合わせ、グラフを動的に動かせるのがDashの特徴です。\n",
        "- グラフを動的に動かすのがコールバックです\n",
        "- コールバックは何かをきっかけに呼び出され、関数を実行して見た目に変化を生み出します\n",
        "- https://dash.plotly.com/"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cPLUXth48LPd",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from jupyter_dash import JupyterDash \n",
        "import dash_core_components as dcc \n",
        "import dash_html_components as html \n",
        "from dash.dependencies import Input, Output"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gSr9PTgK-Xad",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 671
        },
        "outputId": "a074be9b-6225-4439-f98f-a44faf1350c5"
      },
      "source": [
        "# 基本的な作り方\n",
        "app = JupyterDash(__name__) #JupyterDashインスタンスの生成\n",
        "\n",
        "app.layout = html.H1(\"みなさんこんばんは！\") # レイアウトにコンポーネントを渡す。文字は大体引数children(第1引数)に渡す。（children属性）\n",
        "\n",
        "app.run_server(mode=\"inline\") # サーバをJupyter上で起動"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "(async (port, path, width, height, cache, element) => {\n",
              "    if (!google.colab.kernel.accessAllowed && !cache) {\n",
              "      return;\n",
              "    }\n",
              "    element.appendChild(document.createTextNode(''));\n",
              "    const url = await google.colab.kernel.proxyPort(port, {cache});\n",
              "    const iframe = document.createElement('iframe');\n",
              "    iframe.src = url + path;\n",
              "    iframe.height = height;\n",
              "    iframe.width = width;\n",
              "    iframe.style.border = 0;\n",
              "    element.appendChild(iframe);\n",
              "  })(8050, \"/\", \"100%\", 650, false, window.element)"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fQbAaKBJ-g2n",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 671
        },
        "outputId": "261ebbfa-eb50-4695-e262-5d4017985e8e"
      },
      "source": [
        "# グラフを表示する場合\n",
        "\n",
        "app = JupyterDash(__name__)\n",
        "\n",
        "app.layout = html.Div([\n",
        "                       html.H1(\"グラフを表示するよ!\"),\n",
        "                       dcc.Graph(figure=fig)\n",
        "]) # 複数のコンポーネントを用いる場合、Divコンポーネントの引数children（第1引数）に渡す\n",
        "\n",
        "app.run_server(mode=\"inline\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "(async (port, path, width, height, cache, element) => {\n",
              "    if (!google.colab.kernel.accessAllowed && !cache) {\n",
              "      return;\n",
              "    }\n",
              "    element.appendChild(document.createTextNode(''));\n",
              "    const url = await google.colab.kernel.proxyPort(port, {cache});\n",
              "    const iframe = document.createElement('iframe');\n",
              "    iframe.src = url + path;\n",
              "    iframe.height = height;\n",
              "    iframe.width = width;\n",
              "    iframe.style.border = 0;\n",
              "    element.appendChild(iframe);\n",
              "  })(8050, \"/\", \"100%\", 650, false, window.element)"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "i6uhCcO4_qM0",
        "colab_type": "text"
      },
      "source": [
        ""
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AeqNZQrf_pEr",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bLXlo7TH_S9c",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}