tokyo_covid19_2021_10〜.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/sakasa/notebooks/blob/master/tokyo_covid19_2021_10%E3%80%9C.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
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      "cell_type": "code",
      "metadata": {
        "colab": {
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        "outputId": "225e26a7-e3c6-47ab-e8f8-48f0906c1f50"
      },
      "source": [
        "!python -V"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Python 3.7.12\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OdoTl1tcHWga"
      },
      "source": [
        "import requests\n",
        "import json\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import datetime\n",
        "import re\n",
        "from pytz import timezone\n",
        "from tqdm.notebook import tqdm\n",
        "\n",
        "%matplotlib inline"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5cjvDuO1HWgb"
      },
      "source": [
        "### COVID19 Data\n",
        "https://github.com/tokyo-metropolitan-gov/covid19/blob/development/FORKED_SITES.md"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_NaVlyeFHWgb"
      },
      "source": [
        "urls = {\n",
        "    'tokyo': 'https://raw.githubusercontent.com/tokyo-metropolitan-gov/covid19/development/data/data.json',\n",
        "#     'saitama': 'https://raw.githubusercontent.com/codefortoda/covid19-saitama/development/data/data.json',\n",
        "    # 'aichi': 'https://raw.githubusercontent.com/code4nagoya/covid19/development/data/data.json',\n",
        "#     'osaka': 'https://raw.githubusercontent.com/codeforosaka/covid19/development/data/data.json',\n",
        "    'hyogo': 'https://raw.githubusercontent.com/stop-covid19-hyogo/covid19/development/data/patients_summary.json',\n",
        "    'fukui': 'https://raw.githubusercontent.com/nomunomu0504/covid19/nomu_development/data/patients_summary.json',\n",
        "    # 'tottori': 'https://raw.githubusercontent.com/tottori-covid19/covid19/master/data/data.json',\n",
        "    'shimane': 'https://raw.githubusercontent.com/TaigaMikami/shimane-covid19/shimane/data/patients_summary.json',\n",
        "    'okinawa': 'https://raw.githubusercontent.com/Code-for-OKINAWA/covid19/development/data/data.json',\n",
        "    'fukuoka': 'https://raw.githubusercontent.com/Code-for-Fukuoka/covid19-fukuoka/development/data/data.json',\n",
        "    # 'hokkaido': 'https://stopcovid19.hokkaido.dev/api/patients_summary.json',\n",
        "    'hokkaido': 'https://codeforsapporo.github.io/covid19hokkaido_scraping/patients_summary.json',\n",
        "#     'kanagawa': 'https://www.pref.kanagawa.jp/osirase/1369/data/data.json',\n",
        "    ##'chiba': 'https://raw.githubusercontent.com/civictechzenchiba/covid19-chiba/development/data/data.json',\n",
        "    #'hiroshima': 'https://raw.githubusercontent.com/tatsuya1970/covid19/development/data/data.json',\n",
        "    'fukushima': 'https://cdn2.dott.dev/data.json',\n",
        "#     'chiba': 'https://covid19chiba.s3-ap-northeast-1.amazonaws.com/DataPub.json',\n",
        "    'shizuokashi': 'https://db7rdtcq3byow.cloudfront.net/data.json',\n",
        "    'hamamatsushi': 'https://raw.githubusercontent.com/code-for-hamamatsu/covid19/dev-hamamatsu/data/hamamatsu/data.json',\n",
        "    'shiga': 'https://shiga-pref-org.github.io/covid19-data/data.json',\n",
        "}"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "G4aV0fg2HWgb"
      },
      "source": [
        "def get_json_data(pref: str, url: str) -> dict:\n",
        "    response = requests.get(url)\n",
        "    json_data = json.loads(response.text)\n",
        "    \n",
        "    # json文字列をdictへ\n",
        "    if pref == 'shimane':\n",
        "        return json_data['patients_summary']\n",
        "    if pref == 'hokkaido':\n",
        "        return {'data': [{'日付': j['日付'], '小計': j['日陽性数']} for j in json_data['data']]}\n",
        "    if pref == 'kanagawa':\n",
        "        print(json_data['patient'])\n",
        "#     print(json_data['patients_summary']['data'])\n",
        "    return json_data"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jubR1Xw1HWgc"
      },
      "source": [
        "#res = get_json_data('https://raw.githubusercontent.com/tokyo-metropolitan-gov/covid19/development/data/data.json')\n",
        "#print(type(res))\n",
        "#res"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HwUDG8r0HWgc"
      },
      "source": [
        "def datetime_to_date(datestr: str) -> datetime:\n",
        "    return datetime.datetime.strptime(re.sub(r'T.*$', '', datestr), '%Y-%m-%d')"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "od8CHuCAHWgc"
      },
      "source": [
        "def utc_datestr_to_jst_date(datestr: str) -> datetime:\n",
        "   return datetime.datetime.fromisoformat(datestr.replace('Z', '+00:00')).astimezone(timezone('Asia/Tokyo'))\n",
        "  # for ~Python3.6\n",
        "  #return datetime.datetime.strptime(datestr.split('.')[0].replace('-', '').replace(':', ''), '%Y%m%dT%H%M%S').astimezone(timezone('Asia/Tokyo'))"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "I9KOEwnBHWgc"
      },
      "source": [
        "#utc_datestr_to_jst_date('2020-08-12T12:34:56.789Z')"
      ],
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "v-iKqqONHWgc"
      },
      "source": [
        "def get_patients_count(json_data: dict, file_name: str) -> list:\n",
        "    if file_name == 'data.json':\n",
        "        return [data['小計'] for data in json_data['patients_summary']['data']]\n",
        "    return [data['小計'] for data in json_data['data']]"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lU5SsxDeHWgd"
      },
      "source": [
        "def get_df_index(json_data: dict, file_name: str):\n",
        "    if file_name == 'data.json':\n",
        "        return [datetime_to_date(d['日付']) for d in json_data['patients_summary']['data']]\n",
        "#         return pd.date_range(\n",
        "#             start=datetime_to_date(json_data['patients_summary']['data'][0]['日付']),\n",
        "#             end=datetime_to_date(json_data['patients_summary']['data'][-1]['日付']),\n",
        "#             freq='D')\n",
        "    return [datetime_to_date(d['日付']) for d in json_data['data']]\n",
        "#     return pd.date_range(\n",
        "#             start=datetime_to_date(json_data['data'][0]['日付']),\n",
        "#             end=datetime_to_date(json_data['data'][-1]['日付']),\n",
        "#             freq='D')"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BPi-VuV7HWgd"
      },
      "source": [
        "def get_data(pref: str, url: str):\n",
        "    json_data = get_json_data(pref, url)\n",
        "#     print(json_data)\n",
        "    file_name = url.split('/')[-1]\n",
        "\n",
        "    # 日毎の数\n",
        "    patients_count = get_patients_count(json_data, file_name)\n",
        "    # dataframe index\n",
        "    df_index = get_df_index(json_data, file_name)\n",
        "\n",
        "    # データフレームにセット（インデックスに日付をセット）\n",
        "    df = pd.DataFrame({'patients_count': patients_count}, index=df_index)\n",
        "\n",
        "    # 2021-10-01以降のデータにする\n",
        "    df = df[df.index >= '2021-10-01']\n",
        "    \n",
        "    # 7日間移動平均・合計カラムを追加\n",
        "    try:\n",
        "        df['7d_mov_ave'] = df['patients_count'].rolling('7D').mean()\n",
        "        df['7d_mov_sum'] = df['patients_count'].rolling('7D').sum()\n",
        "    except Exception as e:\n",
        "        print(e)\n",
        "        df['7d_mov_ave'] = np.zeros(len(df['patients_count']))\n",
        "        df['7d_mov_sum'] = np.zeros(len(df['patients_count']))\n",
        "        \n",
        "    return df"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Al73lYEuHWgd"
      },
      "source": [
        "# pref = 'tokyo'\n",
        "# url = urls[pref]\n",
        "# print(url)\n",
        "# res = get_data(pref, url)\n",
        "# print(type(res))\n",
        "# print(res.dtypes)\n",
        "# print(res.index.dtype)\n",
        "# # res = res[res.index >= '2021-10-01']\n",
        "# print(res.head())\n",
        "# print(res.tail(15))"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
          "referenced_widgets": [
            "2e54aec580904f9e8bfd1c27fc0a4028",
            "ee0f4c8f4a9a47ecb6654c32411068e9",
            "8177f73423484172b31c3b27a7c629c0",
            "50816f45a3f04ea693b34563bf3d80a0",
            "6bebcf64d7dd4d75a19a66f3d0c19e1e",
            "29fa2bf81ebf4505979e3eb62091268e",
            "16cdbf1d33ba4e339f4a35d6096fabeb",
            "1dbea1a8d4a74c74a26ffb4713ed4407",
            "52f0bff163b245e8b45f92cbd87d7bf9",
            "fa4b3589777d4c0ebb6dd8bea637dcaf",
            "6804725be200433cb61904733510a501"
          ]
        },
        "id": "hjUuDwLvHWgd",
        "outputId": "c33644d5-5557-43a0-9789-b582f269cb0d"
      },
      "source": [
        "for k, v in tqdm(urls.items()):\n",
        "    print(k, v)\n",
        "    res = get_data(k, v)\n",
        "    #res = get_data('https://raw.githubusercontent.com/tokyo-metropolitan-gov/covid19/development/data/data.json')\n",
        "    #res = get_data('https://raw.githubusercontent.com/stop-covid19-hyogo/covid19/development/data/patients_summary.json')\n",
        "    print(type(res))\n",
        "    print(res.tail(15))\n",
        "    print('-----')"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "2e54aec580904f9e8bfd1c27fc0a4028",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "  0%|          | 0/11 [00:00<?, ?it/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "tokyo https://raw.githubusercontent.com/tokyo-metropolitan-gov/covid19/development/data/data.json\n",
            "<class 'pandas.core.frame.DataFrame'>\n",
            "            patients_count   7d_mov_ave  7d_mov_sum\n",
            "2022-01-11             962   890.428571      6233.0\n",
            "2022-01-12            2198  1148.714286      8041.0\n",
            "2022-01-13            3124  1503.428571     10524.0\n",
            "2022-01-14            4051  1950.428571     13653.0\n",
            "2022-01-15            4561  2427.142857     16990.0\n",
            "2022-01-16            4172  2848.428571     19939.0\n",
            "2022-01-17            3719  3255.285714     22787.0\n",
            "2022-01-18            5185  3858.571429     27010.0\n",
            "2022-01-19            7377  4598.428571     32189.0\n",
            "2022-01-20            8638  5386.142857     37703.0\n",
            "2022-01-21            9699  6193.000000     43351.0\n",
            "2022-01-22           11227  7145.285714     50017.0\n",
            "2022-01-23            9468  7901.857143     55313.0\n",
            "2022-01-24            8503  8585.285714     60097.0\n",
            "2022-01-25           12813  9675.000000     67725.0\n",
            "-----\n",
            "hyogo https://raw.githubusercontent.com/stop-covid19-hyogo/covid19/development/data/patients_summary.json\n",
            "<class 'pandas.core.frame.DataFrame'>\n",
            "            patients_count   7d_mov_ave  7d_mov_sum\n",
            "2022-01-10             167   134.571429       942.0\n",
            "2022-01-11             113   147.000000      1029.0\n",
            "2022-01-12             511   211.571429      1481.0\n",
            "2022-01-13             902   325.428571      2278.0\n",
            "2022-01-14             927   437.714286      3064.0\n",
            "2022-01-15            1188   572.571429      4008.0\n",
            "2022-01-16            1342   735.714286      5150.0\n",
            "2022-01-17             683   809.428571      5666.0\n",
            "2022-01-18            1643  1028.000000      7196.0\n",
            "2022-01-19            2511  1313.714286      9196.0\n",
            "2022-01-20            2481  1539.285714     10775.0\n",
            "2022-01-21            2942  1827.142857     12790.0\n",
            "2022-01-22            2726  2046.857143     14328.0\n",
            "2022-01-23            2684  2238.571429     15670.0\n",
            "2022-01-24            1841  2404.000000     16828.0\n",
            "-----\n",
            "fukui https://raw.githubusercontent.com/nomunomu0504/covid19/nomu_development/data/patients_summary.json\n",
            "<class 'pandas.core.frame.DataFrame'>\n",
            "            patients_count  7d_mov_ave  7d_mov_sum\n",
            "2021-11-14               0    0.285714         2.0\n",
            "2021-11-15               0    0.142857         1.0\n",
            "2021-11-16               0    0.000000         0.0\n",
            "2021-11-17               0    0.000000         0.0\n",
            "2021-11-18               0    0.000000         0.0\n",
            "2021-11-19               0    0.000000         0.0\n",
            "2021-11-20               0    0.000000         0.0\n",
            "2021-11-21               0    0.000000         0.0\n",
            "2021-11-22               0    0.000000         0.0\n",
            "2021-11-23               0    0.000000         0.0\n",
            "2021-11-24               0    0.000000         0.0\n",
            "2021-11-25               0    0.000000         0.0\n",
            "2021-11-26               0    0.000000         0.0\n",
            "2021-11-27               0    0.000000         0.0\n",
            "2021-11-28               0    0.000000         0.0\n",
            "-----\n",
            "shimane https://raw.githubusercontent.com/TaigaMikami/shimane-covid19/shimane/data/patients_summary.json\n",
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Empty DataFrame\n",
            "Columns: [patients_count, 7d_mov_ave, 7d_mov_sum]\n",
            "Index: []\n",
            "-----\n",
            "okinawa https://raw.githubusercontent.com/Code-for-OKINAWA/covid19/development/data/data.json\n",
            "<class 'pandas.core.frame.DataFrame'>\n",
            "            patients_count  7d_mov_ave  7d_mov_sum\n",
            "2021-10-09              15   23.714286       166.0\n",
            "2021-10-10              14   21.571429       151.0\n",
            "2021-10-11               7   21.285714       149.0\n",
            "2021-10-12              29   20.000000       140.0\n",
            "2021-10-13              32   20.285714       142.0\n",
            "2021-10-14              33   22.714286       159.0\n",
            "2021-10-15              31   23.000000       161.0\n",
            "2021-10-16              25   24.428571       171.0\n",
            "2021-10-17               7   23.428571       164.0\n",
            "2021-10-18              16   24.714286       173.0\n",
            "2021-10-19              29   24.714286       173.0\n",
            "2021-10-20              20   23.000000       161.0\n",
            "2021-10-21              18   20.857143       146.0\n",
            "2021-10-22              14   18.428571       129.0\n",
            "2021-10-23               9   16.142857       113.0\n",
            "-----\n",
            "fukuoka https://raw.githubusercontent.com/Code-for-Fukuoka/covid19-fukuoka/development/data/data.json\n",
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Empty DataFrame\n",
            "Columns: [patients_count, 7d_mov_ave, 7d_mov_sum]\n",
            "Index: []\n",
            "-----\n",
            "hokkaido https://codeforsapporo.github.io/covid19hokkaido_scraping/patients_summary.json\n",
            "<class 'pandas.core.frame.DataFrame'>\n",
            "            patients_count   7d_mov_ave  7d_mov_sum\n",
            "2022-01-11             117    96.285714       674.0\n",
            "2022-01-12             197   119.571429       837.0\n",
            "2022-01-13             328   155.857143      1091.0\n",
            "2022-01-14             467   209.142857      1464.0\n",
            "2022-01-15             695   289.571429      2027.0\n",
            "2022-01-16             692   371.714286      2602.0\n",
            "2022-01-17             643   448.428571      3139.0\n",
            "2022-01-18             698   531.428571      3720.0\n",
            "2022-01-19            1170   670.428571      4693.0\n",
            "2022-01-20            1437   828.857143      5802.0\n",
            "2022-01-21            1644   997.000000      6979.0\n",
            "2022-01-22            1605  1127.000000      7889.0\n",
            "2022-01-23            1591  1255.428571      8788.0\n",
            "2022-01-24            1589  1390.571429      9734.0\n",
            "2022-01-25            1536  1510.285714     10572.0\n",
            "-----\n",
            "fukushima https://cdn2.dott.dev/data.json\n",
            "<class 'pandas.core.frame.DataFrame'>\n",
            "            patients_count  7d_mov_ave  7d_mov_sum\n",
            "2022-01-10              26   22.000000       154.0\n",
            "2022-01-11              32   24.714286       173.0\n",
            "2022-01-12              61   32.285714       226.0\n",
            "2022-01-13              50   36.857143       258.0\n",
            "2022-01-14              51   39.428571       276.0\n",
            "2022-01-15              66   43.857143       307.0\n",
            "2022-01-16              69   50.714286       355.0\n",
            "2022-01-17              42   53.000000       371.0\n",
            "2022-01-18              87   60.857143       426.0\n",
            "2022-01-19             105   67.142857       470.0\n",
            "2022-01-20             118   76.857143       538.0\n",
            "2022-01-21             119   86.571429       606.0\n",
            "2022-01-22             150   98.571429       690.0\n",
            "2022-01-23             150  110.142857       771.0\n",
            "2022-01-24             207  133.714286       936.0\n",
            "-----\n",
            "shizuokashi https://db7rdtcq3byow.cloudfront.net/data.json\n",
            "<class 'pandas.core.frame.DataFrame'>\n",
            "            patients_count  7d_mov_ave  7d_mov_sum\n",
            "2022-01-11              10    8.571429        60.0\n",
            "2022-01-12              35   13.000000        91.0\n",
            "2022-01-13              54   20.285714       142.0\n",
            "2022-01-14              60   27.714286       194.0\n",
            "2022-01-15              77   37.714286       264.0\n",
            "2022-01-16              78   47.142857       330.0\n",
            "2022-01-17              66   54.285714       380.0\n",
            "2022-01-18             108   68.285714       478.0\n",
            "2022-01-19             147   84.285714       590.0\n",
            "2022-01-20             219  107.857143       755.0\n",
            "2022-01-21             179  124.857143       874.0\n",
            "2022-01-22             244  148.714286      1041.0\n",
            "2022-01-23             193  165.142857      1156.0\n",
            "2022-01-24             120  172.857143      1210.0\n",
            "2022-01-25             334  205.142857      1436.0\n",
            "-----\n",
            "hamamatsushi https://raw.githubusercontent.com/code-for-hamamatsu/covid19/dev-hamamatsu/data/hamamatsu/data.json\n",
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Empty DataFrame\n",
            "Columns: [patients_count, 7d_mov_ave, 7d_mov_sum]\n",
            "Index: []\n",
            "-----\n",
            "shiga https://shiga-pref-org.github.io/covid19-data/data.json\n",
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Empty DataFrame\n",
            "Columns: [patients_count, 7d_mov_ave, 7d_mov_sum]\n",
            "Index: []\n",
            "-----\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iwaGQMkkHWge"
      },
      "source": [
        "def week_num(d: datetime) -> str:\n",
        "    return f'\\'{d.strftime(\"%y\")}w{d.strftime(\"%V\")}'"
      ],
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tgl28RLMHWge"
      },
      "source": [
        "def week_num_list(l: list) -> list:\n",
        "    return [week_num(d) for d in l]"
      ],
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LT8sJTNVHWge"
      },
      "source": [
        "def week_day(d: datetime) -> str:\n",
        "    return d.strftime('%a')"
      ],
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QjuERmQ_HWge"
      },
      "source": [
        "def week_day_list(l: list) -> list:\n",
        "    return [week_day(d) for d in l]"
      ],
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4nhS1Nj_HWge"
      },
      "source": [
        "# res = pd.DataFrame({\n",
        "#     'week_num': week_num_list([(datetime.datetime(2020,1,1) + datetime.timedelta(i)) for i in range(370)]),\n",
        "#     'week_day': week_day_list([(datetime.datetime(2020,1,1) + datetime.timedelta(i)) for i in range(370)])\n",
        "# })\n",
        "# print(type(res))\n",
        "# res"
      ],
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1mzuRgwfHWge"
      },
      "source": [
        "def get_df(pref: str, url: str):\n",
        "    df = get_data(pref, url)\n",
        "    # 日付カラムを追加\n",
        "    df['datetime'] = df.index\n",
        "    # 日付が年の何週目かを列にセット `'{yy}w{week nnum}`\n",
        "    df['week_num'] = week_num_list(df.index)\n",
        "    # 曜日の列をセット\n",
        "    df['week_day'] = week_day_list(df.index)\n",
        "    # 2021-10-01以降のデータにする\n",
        "    df = df[df.index >= '2021-10-01']\n",
        "    return df"
      ],
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b4LtichgHWge"
      },
      "source": [
        "#res = get_df('https://raw.githubusercontent.com/tokyo-metropolitan-gov/covid19/development/data/data.json')\n",
        "#print(type(res))\n",
        "#res"
      ],
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bleLjxZ3HWge"
      },
      "source": [
        "def agg_df(df):\n",
        "    # 週毎に集計\n",
        "    groupby_week_num = df.groupby('week_num')\n",
        "    # 集計結果から平均と合計を取得しデータフレームにセット\n",
        "    return pd.DataFrame({\n",
        "        'week_num': df['week_num'].unique(),\n",
        "        'week_mean': [m for m in groupby_week_num.agg({'patients_count': 'mean'})['patients_count']], \n",
        "        'week_sum': [s for s in groupby_week_num.agg({'patients_count': 'sum'})['patients_count']]\n",
        "    }, index=[d for d in groupby_week_num.agg({'datetime': 'max'})['datetime']])"
      ],
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4tqPPpShHWgf"
      },
      "source": [
        "# res = agg_df(get_df('https://raw.githubusercontent.com/tokyo-metropolitan-gov/covid19/development/data/data.json'))\n",
        "# print(type(res))\n",
        "# res"
      ],
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
            "b7ffc7f18ae94889a9d55cd04b2b1cbf",
            "be6c077ba59d4ca78208bf00c4046437",
            "e357bb4f44244aadb401aae8b1bcd3c5",
            "1265ed7ec2974ee290cdd47f0d8af05f",
            "39c3d313d39b412e8ffd664a68be00c7",
            "90cbbdf57a1d4f8ab207c443aed6b198",
            "731a972e859748de886ad547bcdd8006",
            "36cc37f149634b2ab197e7af4f1443c5",
            "81ad1839a0004e88a0fd693183e27f78",
            "cca15c4bda834b4982d513611d315189",
            "af571a2971394a8383056b615c4d04a6"
          ]
        },
        "id": "A0HxpRrPHWgf",
        "outputId": "9834a568-1134-4158-94ed-6becf6968ce2"
      },
      "source": [
        "dfs = {}\n",
        "weekly_agg_dfs = {}\n",
        "for k, v in tqdm(urls.items()):\n",
        "    df = get_df(k, v)\n",
        "    weekly_agg_df = agg_df(df)\n",
        "    # 集計カラムを追加\n",
        "    df = pd.concat([\n",
        "        df, weekly_agg_df.loc[:, ['week_mean', 'week_sum']]\n",
        "    ], axis=1)\n",
        "    dfs[k] = df\n",
        "#     weekly_agg_dfs[item[0]] = weekly_agg_df\n",
        "\n",
        "#print(min([len(v) for k, v in dfs.items()]))\n",
        "#print(weekly_agg_dfs)"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "b7ffc7f18ae94889a9d55cd04b2b1cbf",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "  0%|          | 0/11 [00:00<?, ?it/s]"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 520
        },
        "id": "OGPMFBXxHWgf",
        "outputId": "f4f4d4fc-33aa-47a3-9cf8-09b7f5a0a761"
      },
      "source": [
        "pd.DataFrame({k: dfs[k]['patients_count'] for k in dfs.keys()}, index=dfs['tokyo'].index).tail(15)"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-19ff9853-6b95-4f40-90b2-1e8573e4aceb\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>tokyo</th>\n",
              "      <th>hyogo</th>\n",
              "      <th>fukui</th>\n",
              "      <th>shimane</th>\n",
              "      <th>okinawa</th>\n",
              "      <th>fukuoka</th>\n",
              "      <th>hokkaido</th>\n",
              "      <th>fukushima</th>\n",
              "      <th>shizuokashi</th>\n",
              "      <th>hamamatsushi</th>\n",
              "      <th>shiga</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2022-01-11</th>\n",
              "      <td>962</td>\n",
              "      <td>113.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>117</td>\n",
              "      <td>32.0</td>\n",
              "      <td>10</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "    <tr>\n",
              "      <th>2022-01-12</th>\n",
              "      <td>2198</td>\n",
              "      <td>511.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>197</td>\n",
              "      <td>61.0</td>\n",
              "      <td>35</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <th>2022-01-13</th>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>328</td>\n",
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              "      <td>54</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1589</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1536</td>\n",
              "      <td>NaN</td>\n",
              "      <td>334</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-19ff9853-6b95-4f40-90b2-1e8573e4aceb')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-19ff9853-6b95-4f40-90b2-1e8573e4aceb button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-19ff9853-6b95-4f40-90b2-1e8573e4aceb');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          docLink.innerHTML = docLinkHtml;\n",
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              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "            tokyo   hyogo  fukui  ...  shizuokashi  hamamatsushi  shiga\n",
              "2022-01-11    962   113.0    NaN  ...           10           NaN    NaN\n",
              "2022-01-12   2198   511.0    NaN  ...           35           NaN    NaN\n",
              "2022-01-13   3124   902.0    NaN  ...           54           NaN    NaN\n",
              "2022-01-14   4051   927.0    NaN  ...           60           NaN    NaN\n",
              "2022-01-15   4561  1188.0    NaN  ...           77           NaN    NaN\n",
              "2022-01-16   4172  1342.0    NaN  ...           78           NaN    NaN\n",
              "2022-01-17   3719   683.0    NaN  ...           66           NaN    NaN\n",
              "2022-01-18   5185  1643.0    NaN  ...          108           NaN    NaN\n",
              "2022-01-19   7377  2511.0    NaN  ...          147           NaN    NaN\n",
              "2022-01-20   8638  2481.0    NaN  ...          219           NaN    NaN\n",
              "2022-01-21   9699  2942.0    NaN  ...          179           NaN    NaN\n",
              "2022-01-22  11227  2726.0    NaN  ...          244           NaN    NaN\n",
              "2022-01-23   9468  2684.0    NaN  ...          193           NaN    NaN\n",
              "2022-01-24   8503  1841.0    NaN  ...          120           NaN    NaN\n",
              "2022-01-25  12813     NaN    NaN  ...          334           NaN    NaN\n",
              "\n",
              "[15 rows x 11 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 520
        },
        "id": "YvRPFx81HWgf",
        "outputId": "c54489a5-4902-42c4-c10d-a0eb04449bd7"
      },
      "source": [
        "pd.DataFrame({k: dfs[k]['7d_mov_ave'] for k in dfs.keys()}, index=dfs['tokyo'].index).tail(15)"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>tokyo</th>\n",
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3e4cd140-4524-4fc3-8819-8165b1a2001e')\"\n",
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              "\n",
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              "\n",
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              "          const element = document.querySelector('#df-3e4cd140-4524-4fc3-8819-8165b1a2001e');\n",
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              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                  tokyo        hyogo  fukui  ...  shizuokashi  hamamatsushi  shiga\n",
              "2022-01-11   890.428571   147.000000    NaN  ...     8.571429           NaN    NaN\n",
              "2022-01-12  1148.714286   211.571429    NaN  ...    13.000000           NaN    NaN\n",
              "2022-01-13  1503.428571   325.428571    NaN  ...    20.285714           NaN    NaN\n",
              "2022-01-14  1950.428571   437.714286    NaN  ...    27.714286           NaN    NaN\n",
              "2022-01-15  2427.142857   572.571429    NaN  ...    37.714286           NaN    NaN\n",
              "2022-01-16  2848.428571   735.714286    NaN  ...    47.142857           NaN    NaN\n",
              "2022-01-17  3255.285714   809.428571    NaN  ...    54.285714           NaN    NaN\n",
              "2022-01-18  3858.571429  1028.000000    NaN  ...    68.285714           NaN    NaN\n",
              "2022-01-19  4598.428571  1313.714286    NaN  ...    84.285714           NaN    NaN\n",
              "2022-01-20  5386.142857  1539.285714    NaN  ...   107.857143           NaN    NaN\n",
              "2022-01-21  6193.000000  1827.142857    NaN  ...   124.857143           NaN    NaN\n",
              "2022-01-22  7145.285714  2046.857143    NaN  ...   148.714286           NaN    NaN\n",
              "2022-01-23  7901.857143  2238.571429    NaN  ...   165.142857           NaN    NaN\n",
              "2022-01-24  8585.285714  2404.000000    NaN  ...   172.857143           NaN    NaN\n",
              "2022-01-25  9675.000000          NaN    NaN  ...   205.142857           NaN    NaN\n",
              "\n",
              "[15 rows x 11 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 520
        },
        "id": "CYr_7M5kHWgf",
        "outputId": "01c763a8-1929-47de-86b8-9418419eb722"
      },
      "source": [
        "pd.DataFrame({k: dfs[k]['7d_mov_sum'] for k in dfs.keys()}, index=dfs['tokyo'].index).tail(15)"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-eab766b5-38f9-4f31-8657-a571f6a9dd7d');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "              tokyo    hyogo  fukui  ...  shizuokashi  hamamatsushi  shiga\n",
              "2022-01-11   6233.0   1029.0    NaN  ...         60.0           NaN    NaN\n",
              "2022-01-12   8041.0   1481.0    NaN  ...         91.0           NaN    NaN\n",
              "2022-01-13  10524.0   2278.0    NaN  ...        142.0           NaN    NaN\n",
              "2022-01-14  13653.0   3064.0    NaN  ...        194.0           NaN    NaN\n",
              "2022-01-15  16990.0   4008.0    NaN  ...        264.0           NaN    NaN\n",
              "2022-01-16  19939.0   5150.0    NaN  ...        330.0           NaN    NaN\n",
              "2022-01-17  22787.0   5666.0    NaN  ...        380.0           NaN    NaN\n",
              "2022-01-18  27010.0   7196.0    NaN  ...        478.0           NaN    NaN\n",
              "2022-01-19  32189.0   9196.0    NaN  ...        590.0           NaN    NaN\n",
              "2022-01-20  37703.0  10775.0    NaN  ...        755.0           NaN    NaN\n",
              "2022-01-21  43351.0  12790.0    NaN  ...        874.0           NaN    NaN\n",
              "2022-01-22  50017.0  14328.0    NaN  ...       1041.0           NaN    NaN\n",
              "2022-01-23  55313.0  15670.0    NaN  ...       1156.0           NaN    NaN\n",
              "2022-01-24  60097.0  16828.0    NaN  ...       1210.0           NaN    NaN\n",
              "2022-01-25  67725.0      NaN    NaN  ...       1436.0           NaN    NaN\n",
              "\n",
              "[15 rows x 11 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
          "referenced_widgets": [
            "ba9190b26a1b434ab6b73c27532da7a0",
            "94846bca4c8342959401be5bf92c31ca",
            "43a565b32a064f27812b6944bf0bd931",
            "d68b19bb3d1f4a44a1cf02d08637113f",
            "13ad72d492d94fc4a5fdfc0292793cfd",
            "51aad5e833474625a17e7006c23bd6f2",
            "4142696c12c14ae3b9a903698c672ae8",
            "64088f4be9e04ece9292f64ebd016e6c",
            "3642f691a3af499da2022cbec373b1d8",
            "e589ceeb448e47ae9f370481b934ae88",
            "953e042fce394ad6808b1735213ed648"
          ]
        },
        "id": "cjw8IrwhHWgg",
        "outputId": "2440cb13-c64c-40cf-c3c8-793e098ab136"
      },
      "source": [
        "for k, v in tqdm(dfs.items()):\n",
        "    print(k)\n",
        "    print(v[['week_day', 'patients_count', '7d_mov_ave', '7d_mov_sum']].tail(15))\n",
        "    print('---')"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "ba9190b26a1b434ab6b73c27532da7a0",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "  0%|          | 0/11 [00:00<?, ?it/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "tokyo\n",
            "           week_day  patients_count   7d_mov_ave  7d_mov_sum\n",
            "2022-01-11      Tue             962   890.428571      6233.0\n",
            "2022-01-12      Wed            2198  1148.714286      8041.0\n",
            "2022-01-13      Thu            3124  1503.428571     10524.0\n",
            "2022-01-14      Fri            4051  1950.428571     13653.0\n",
            "2022-01-15      Sat            4561  2427.142857     16990.0\n",
            "2022-01-16      Sun            4172  2848.428571     19939.0\n",
            "2022-01-17      Mon            3719  3255.285714     22787.0\n",
            "2022-01-18      Tue            5185  3858.571429     27010.0\n",
            "2022-01-19      Wed            7377  4598.428571     32189.0\n",
            "2022-01-20      Thu            8638  5386.142857     37703.0\n",
            "2022-01-21      Fri            9699  6193.000000     43351.0\n",
            "2022-01-22      Sat           11227  7145.285714     50017.0\n",
            "2022-01-23      Sun            9468  7901.857143     55313.0\n",
            "2022-01-24      Mon            8503  8585.285714     60097.0\n",
            "2022-01-25      Tue           12813  9675.000000     67725.0\n",
            "---\n",
            "hyogo\n",
            "           week_day  patients_count   7d_mov_ave  7d_mov_sum\n",
            "2022-01-10      Mon             167   134.571429       942.0\n",
            "2022-01-11      Tue             113   147.000000      1029.0\n",
            "2022-01-12      Wed             511   211.571429      1481.0\n",
            "2022-01-13      Thu             902   325.428571      2278.0\n",
            "2022-01-14      Fri             927   437.714286      3064.0\n",
            "2022-01-15      Sat            1188   572.571429      4008.0\n",
            "2022-01-16      Sun            1342   735.714286      5150.0\n",
            "2022-01-17      Mon             683   809.428571      5666.0\n",
            "2022-01-18      Tue            1643  1028.000000      7196.0\n",
            "2022-01-19      Wed            2511  1313.714286      9196.0\n",
            "2022-01-20      Thu            2481  1539.285714     10775.0\n",
            "2022-01-21      Fri            2942  1827.142857     12790.0\n",
            "2022-01-22      Sat            2726  2046.857143     14328.0\n",
            "2022-01-23      Sun            2684  2238.571429     15670.0\n",
            "2022-01-24      Mon            1841  2404.000000     16828.0\n",
            "---\n",
            "fukui\n",
            "           week_day  patients_count  7d_mov_ave  7d_mov_sum\n",
            "2021-11-14      Sun               0    0.285714         2.0\n",
            "2021-11-15      Mon               0    0.142857         1.0\n",
            "2021-11-16      Tue               0    0.000000         0.0\n",
            "2021-11-17      Wed               0    0.000000         0.0\n",
            "2021-11-18      Thu               0    0.000000         0.0\n",
            "2021-11-19      Fri               0    0.000000         0.0\n",
            "2021-11-20      Sat               0    0.000000         0.0\n",
            "2021-11-21      Sun               0    0.000000         0.0\n",
            "2021-11-22      Mon               0    0.000000         0.0\n",
            "2021-11-23      Tue               0    0.000000         0.0\n",
            "2021-11-24      Wed               0    0.000000         0.0\n",
            "2021-11-25      Thu               0    0.000000         0.0\n",
            "2021-11-26      Fri               0    0.000000         0.0\n",
            "2021-11-27      Sat               0    0.000000         0.0\n",
            "2021-11-28      Sun               0    0.000000         0.0\n",
            "---\n",
            "shimane\n",
            "Empty DataFrame\n",
            "Columns: [week_day, patients_count, 7d_mov_ave, 7d_mov_sum]\n",
            "Index: []\n",
            "---\n",
            "okinawa\n",
            "           week_day  patients_count  7d_mov_ave  7d_mov_sum\n",
            "2021-10-09      Sat              15   23.714286       166.0\n",
            "2021-10-10      Sun              14   21.571429       151.0\n",
            "2021-10-11      Mon               7   21.285714       149.0\n",
            "2021-10-12      Tue              29   20.000000       140.0\n",
            "2021-10-13      Wed              32   20.285714       142.0\n",
            "2021-10-14      Thu              33   22.714286       159.0\n",
            "2021-10-15      Fri              31   23.000000       161.0\n",
            "2021-10-16      Sat              25   24.428571       171.0\n",
            "2021-10-17      Sun               7   23.428571       164.0\n",
            "2021-10-18      Mon              16   24.714286       173.0\n",
            "2021-10-19      Tue              29   24.714286       173.0\n",
            "2021-10-20      Wed              20   23.000000       161.0\n",
            "2021-10-21      Thu              18   20.857143       146.0\n",
            "2021-10-22      Fri              14   18.428571       129.0\n",
            "2021-10-23      Sat               9   16.142857       113.0\n",
            "---\n",
            "fukuoka\n",
            "Empty DataFrame\n",
            "Columns: [week_day, patients_count, 7d_mov_ave, 7d_mov_sum]\n",
            "Index: []\n",
            "---\n",
            "hokkaido\n",
            "           week_day  patients_count   7d_mov_ave  7d_mov_sum\n",
            "2022-01-11      Tue             117    96.285714       674.0\n",
            "2022-01-12      Wed             197   119.571429       837.0\n",
            "2022-01-13      Thu             328   155.857143      1091.0\n",
            "2022-01-14      Fri             467   209.142857      1464.0\n",
            "2022-01-15      Sat             695   289.571429      2027.0\n",
            "2022-01-16      Sun             692   371.714286      2602.0\n",
            "2022-01-17      Mon             643   448.428571      3139.0\n",
            "2022-01-18      Tue             698   531.428571      3720.0\n",
            "2022-01-19      Wed            1170   670.428571      4693.0\n",
            "2022-01-20      Thu            1437   828.857143      5802.0\n",
            "2022-01-21      Fri            1644   997.000000      6979.0\n",
            "2022-01-22      Sat            1605  1127.000000      7889.0\n",
            "2022-01-23      Sun            1591  1255.428571      8788.0\n",
            "2022-01-24      Mon            1589  1390.571429      9734.0\n",
            "2022-01-25      Tue            1536  1510.285714     10572.0\n",
            "---\n",
            "fukushima\n",
            "           week_day  patients_count  7d_mov_ave  7d_mov_sum\n",
            "2022-01-10      Mon              26   22.000000       154.0\n",
            "2022-01-11      Tue              32   24.714286       173.0\n",
            "2022-01-12      Wed              61   32.285714       226.0\n",
            "2022-01-13      Thu              50   36.857143       258.0\n",
            "2022-01-14      Fri              51   39.428571       276.0\n",
            "2022-01-15      Sat              66   43.857143       307.0\n",
            "2022-01-16      Sun              69   50.714286       355.0\n",
            "2022-01-17      Mon              42   53.000000       371.0\n",
            "2022-01-18      Tue              87   60.857143       426.0\n",
            "2022-01-19      Wed             105   67.142857       470.0\n",
            "2022-01-20      Thu             118   76.857143       538.0\n",
            "2022-01-21      Fri             119   86.571429       606.0\n",
            "2022-01-22      Sat             150   98.571429       690.0\n",
            "2022-01-23      Sun             150  110.142857       771.0\n",
            "2022-01-24      Mon             207  133.714286       936.0\n",
            "---\n",
            "shizuokashi\n",
            "           week_day  patients_count  7d_mov_ave  7d_mov_sum\n",
            "2022-01-11      Tue              10    8.571429        60.0\n",
            "2022-01-12      Wed              35   13.000000        91.0\n",
            "2022-01-13      Thu              54   20.285714       142.0\n",
            "2022-01-14      Fri              60   27.714286       194.0\n",
            "2022-01-15      Sat              77   37.714286       264.0\n",
            "2022-01-16      Sun              78   47.142857       330.0\n",
            "2022-01-17      Mon              66   54.285714       380.0\n",
            "2022-01-18      Tue             108   68.285714       478.0\n",
            "2022-01-19      Wed             147   84.285714       590.0\n",
            "2022-01-20      Thu             219  107.857143       755.0\n",
            "2022-01-21      Fri             179  124.857143       874.0\n",
            "2022-01-22      Sat             244  148.714286      1041.0\n",
            "2022-01-23      Sun             193  165.142857      1156.0\n",
            "2022-01-24      Mon             120  172.857143      1210.0\n",
            "2022-01-25      Tue             334  205.142857      1436.0\n",
            "---\n",
            "hamamatsushi\n",
            "Empty DataFrame\n",
            "Columns: [week_day, patients_count, 7d_mov_ave, 7d_mov_sum]\n",
            "Index: []\n",
            "---\n",
            "shiga\n",
            "Empty DataFrame\n",
            "Columns: [week_day, patients_count, 7d_mov_ave, 7d_mov_sum]\n",
            "Index: []\n",
            "---\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "G1zb7oidHWgg"
      },
      "source": [
        "titles = ['daily count', '7days mean', '7days sum']\n",
        "x = list(dfs.items())[0][1].index"
      ],
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
          "referenced_widgets": [
            "0fbe35b7d49c48ed8b3b14c5b394e638",
            "e639606526c046eca5f83883bf420b0a",
            "c25814e650c5475aa7352dec2358f89d",
            "4ff74bd0e26246e2bf017831dcbfa962",
            "91e18a855b474d6193233e7df982086d",
            "31efc5db438f40cc8b14c9df09078d88",
            "4187f041de3840d286facca7728309ad",
            "f1e188486f2f447fb7e62ad2668dac37",
            "7a66ee72b8564c27af4e5d1d8f424918",
            "ae124c4631e64271a00440713091e1d0",
            "2d8da056064a49f685624cb336e2d0b0",
            "8380901143bd4c11bc6e98df9aa7d525",
            "266ea6ecbebf4a719a8276995e34668a",
            "a48536656591412e9378c1ff4011ff9c",
            "2f90f3fd9fd14613a183435feaaffe0f",
            "c30293de5cf94e09a727c71547ccbca4",
            "489d389bed824d61843d8247c345041e",
            "9f7dfcf65236416fb0d44d92953cb13f",
            "ea16af2c133a496e88b24766abb7f9ff",
            "44791cf251b04143bf6eb45a15e4dbd0",
            "2b5ebf9e71b04e2c88a0ab300469fe7a",
            "fb009caf16644322b0bc0de3febabfd2"
          ]
        },
        "id": "ycwT-bXfHWgg",
        "outputId": "209502ff-9342-48ce-a23e-2f32ad32ff1e"
      },
      "source": [
        "fig, ax = plt.subplots(3, 1, figsize=(15, 24))\n",
        "\n",
        "for k, v in tqdm(dfs.items()):\n",
        "    x = v.index\n",
        "    y1 = v['patients_count']\n",
        "    ax[0].plot(x, y1, label=k)\n",
        "    \n",
        "    y2_1 = v['7d_mov_ave']\n",
        "    ax[1].plot(x, y2_1, label=f\"{k}_1\")\n",
        "    # y2_2 = v['week_mean']\n",
        "    # ax[1].bar(x, y2_2, label=f\"{k}_2\")\n",
        "    \n",
        "    y3_1 = v['7d_mov_sum']\n",
        "    ax[2].plot(x, y3_1, label=f\"{k}_1\")\n",
        "    # y3_2 = v['week_sum']\n",
        "    # ax[2].bar(x, y3_2, label=f\"{k}_2\")\n",
        "\n",
        "for i, _ax in tqdm(enumerate(ax)):\n",
        "    _ax.set_title(titles[i])\n",
        "    _ax.set_xlabel('date')\n",
        "    _ax.set_ylabel('count')\n",
        "    _ax.grid(linestyle=':')\n",
        "    _ax.legend(loc='upper left')\n",
        "\n",
        "plt.tight_layout()"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "0fbe35b7d49c48ed8b3b14c5b394e638",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "  0%|          | 0/11 [00:00<?, ?it/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "8380901143bd4c11bc6e98df9aa7d525",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "0it [00:00, ?it/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x1728 with 3 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WhdAUuE5HWgg",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7584b64c-2790-4698-dfd1-1914c45de4ee"
      },
      "source": [
        "dfs.keys()"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "dict_keys(['tokyo', 'hyogo', 'fukui', 'shimane', 'okinawa', 'fukuoka', 'hokkaido', 'fukushima', 'shizuokashi', 'hamamatsushi', 'shiga'])"
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xwXxK9ffVK6j",
        "outputId": "2c003df4-e386-4da4-9d73-64c381c22870"
      },
      "source": [
        "dfs2 = dfs.copy()\n",
        "del dfs2['tokyo']\n",
        "dfs2.keys()"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "dict_keys(['hyogo', 'fukui', 'shimane', 'okinawa', 'fukuoka', 'hokkaido', 'fukushima', 'shizuokashi', 'hamamatsushi', 'shiga'])"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QvHxuaShV-xU"
      },
      "source": [
        "x = list(dfs.items())[0][1].index"
      ],
      "execution_count": 32,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
          "referenced_widgets": [
            "af7d17fee5cf40a18ada27ba3f6e1758",
            "935a6500fce34862a5d4e0b15711b11b",
            "f61d7b12b41a43ef8212efae0b92d7fa",
            "438b73f7f74a47fb9daf89a6ff0c5e70",
            "8bc504ec50a74618be15e3dc71f1fe56",
            "bdfb8022b1654755940be29514d88c0c",
            "1e5c1450d0e74724a91b1387af18fe29",
            "f750fa7faadd43d7bba87dac6c9c2048",
            "501152f9fd8148d5965cb39850369f64",
            "164cbac367414647b01d03664c53d12d",
            "6a1d3dab2d45412f9d9ad810d5ac5f33",
            "586ac5d3d2b04a67b42c891a3f05740a",
            "d0dabb5fd9664ec69f07007773c39bf6",
            "7eda46e0036d40d597435d02b95e3820",
            "11ec6db849bc4b80bc2eb26f69af6feb",
            "5ee3da29637b4af5bd355593e4c3e483",
            "a1bfc4db46de4b089148b90988b681b2",
            "65d304edfc53414e8a5457d1669f2c55",
            "04d8f224540c4038b126b69dc707568c",
            "617d9060134b4a87b9fe867e4b633cf7",
            "8c0b08657a21413c8ff1688b65aaae01",
            "3e6506c598f640bda2af7dcf9ebb1d99"
          ]
        },
        "id": "s3DG8EIRWGTY",
        "outputId": "12851263-fb41-4741-b1b3-95ca967241c7"
      },
      "source": [
        "fig, ax = plt.subplots(3, 1, figsize=(15, 24))\n",
        "\n",
        "for k, v in tqdm(dfs2.items()):\n",
        "    x = v.index\n",
        "    y1 = v['patients_count']\n",
        "    ax[0].plot(x, y1, label=k)\n",
        "    \n",
        "    y2_1 = v['7d_mov_ave']\n",
        "    ax[1].plot(x, y2_1, label=f\"{k}_1\")\n",
        "    # y2_2 = v['week_mean']\n",
        "    # ax[1].bar(x, y2_2, label=f\"{k}_2\")\n",
        "    \n",
        "    y3_1 = v['7d_mov_sum']\n",
        "    ax[2].plot(x, y3_1, label=f\"{k}_1\")\n",
        "    # y3_2 = v['week_sum']\n",
        "    # ax[2].bar(x, y3_2, label=f\"{k}_2\")\n",
        "\n",
        "for i, _ax in tqdm(enumerate(ax)):\n",
        "    _ax.set_title(titles[i])\n",
        "    _ax.set_xlabel('date')\n",
        "    _ax.set_ylabel('count')\n",
        "    _ax.grid(linestyle=':')\n",
        "    _ax.legend(loc='upper left')\n",
        "\n",
        "plt.tight_layout()"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "af7d17fee5cf40a18ada27ba3f6e1758",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "  0%|          | 0/10 [00:00<?, ?it/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "586ac5d3d2b04a67b42c891a3f05740a",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "0it [00:00, ?it/s]"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x1728 with 3 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "WGtBzwuW_f7j"
      },
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qqXB9M8aWUJF"
      },
      "source": [
        ""
      ],
      "execution_count": 33,
      "outputs": []
    }
  ]
}