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August 15, 2022 10:06
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2022-08-11 chiba prefecture covid-19 cases by city.ipynb
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{ | |
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"metadata": { | |
"colab": { | |
"name": "2022-08-11 chiba prefecture covid-19 cases by city.ipynb", | |
"provenance": [], | |
"authorship_tag": "ABX9TyNIBDvdSg34DqTj5czeJU6x", | |
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"source": [ | |
"<a href=\"https://colab.research.google.com/gist/shuuji3/190bc40ce8d1a784478d7910e138570b/2022-08-11-chiba-prefecture-covid-19-cases-by-city.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", | |
"execution_count": null, | |
"metadata": { | |
"id": "2cJHy7pYTeOb" | |
}, | |
"outputs": [], | |
"source": [ | |
"import pandas as pd" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"source": [ | |
"df = pd.read_excel('https://www.pref.chiba.lg.jp/kenfuku/kansenshou/ncov/documents/20220811shicyouson.xlsx', skiprows=4, index_col='市町村名').T\n", | |
"df" | |
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"id": "ZYrMOtqlTjAr", | |
"outputId": "91ef0b96-072f-4089-e8b1-b7f60d8276cc" | |
}, | |
"execution_count": null, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"data": { | |
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"市町村名 千葉市 市川市 浦安市 習志野市 \\\n", | |
"2次医療圏 千葉 東葛南部 NaN NaN \n", | |
"2021-03-01 00:00:00 12.119718 17.103132 6.471616 26.848398 \n", | |
"2021-03-02 00:00:00 13.138182 16.499492 7.059945 28.562125 \n", | |
"2021-03-03 00:00:00 12.323411 16.700705 7.059945 30.847096 \n", | |
"2021-03-04 00:00:00 11.916026 19.517692 7.648274 30.275853 \n", | |
"... ... ... ... ... \n", | |
"2022-08-07 00:00:00 1197.099415 1038.672077 891.482435 795.566181 \n", | |
"2022-08-08 00:00:00 1195.771121 1025.595632 858.573393 803.516164 \n", | |
"2022-08-09 00:00:00 1184.736063 1054.564987 889.71945 818.848275 \n", | |
"2022-08-10 00:00:00 1184.940416 967.053394 789.229341 805.219732 \n", | |
"2022-08-11 00:00:00 1156.024477 954.379301 770.424174 716.634204 \n", | |
"\n", | |
"市町村名 八千代市 鎌ケ谷市 船橋市 柏市 \\\n", | |
"2次医療圏 NaN NaN NaN 東葛北部 \n", | |
"2021-03-01 00:00:00 6.487803 14.624961 24.005674 10.599933 \n", | |
"2021-03-02 00:00:00 5.489679 12.796841 22.446864 9.447767 \n", | |
"2021-03-03 00:00:00 6.487803 11.882781 24.317436 10.599933 \n", | |
"2021-03-04 00:00:00 7.984988 11.882781 23.38215 8.526033 \n", | |
"... ... ... ... ... \n", | |
"2022-08-07 00:00:00 1018.484151 970.007195 1030.318045 1139.918448 \n", | |
"2022-08-08 00:00:00 1048.177567 923.556147 1016.846799 1126.257025 \n", | |
"2022-08-09 00:00:00 1040.754213 936.307415 1008.330495 1116.531943 \n", | |
"2022-08-10 00:00:00 1016.50459 889.856366 984.329999 1061.42315 \n", | |
"2022-08-11 00:00:00 902.18494 820.635195 944.845313 1028.543113 \n", | |
"\n", | |
"市町村名 野田市 松戸市 ... 御宿町 館山市 \\\n", | |
"2次医療圏 NaN NaN ... NaN 安房 \n", | |
"2021-03-01 00:00:00 8.538083 12.381262 ... 0.0 22.36436 \n", | |
"2021-03-02 00:00:00 7.881308 12.990176 ... 0.0 22.36436 \n", | |
"2021-03-03 00:00:00 7.224532 13.599091 ... 0.0 24.600796 \n", | |
"2021-03-04 00:00:00 5.254205 13.802062 ... 0.0 24.600796 \n", | |
"... ... ... ... ... ... \n", | |
"2022-08-07 00:00:00 1075.381905 922.295823 ... 552.651232 778.562376 \n", | |
"2022-08-08 00:00:00 1150.974154 905.80111 ... 567.587752 760.456274 \n", | |
"2022-08-09 00:00:00 1139.799648 899.967614 ... 702.01643 923.41119 \n", | |
"2022-08-10 00:00:00 1117.450635 868.788584 ... 866.318148 943.780554 \n", | |
"2022-08-11 00:00:00 1038.571767 832.580678 ... 851.381628 893.988774 \n", | |
"\n", | |
"市町村名 鴨川市 南房総市 鋸南町 木更津市 \\\n", | |
"2次医療圏 NaN NaN NaN 君津 \n", | |
"2021-03-01 00:00:00 0.0 50.687092 0.0 0.0 \n", | |
"2021-03-02 00:00:00 0.0 47.871142 0.0 0.734311 \n", | |
"2021-03-03 00:00:00 0.0 47.871142 0.0 2.202934 \n", | |
"2021-03-04 00:00:00 0.0 47.871142 0.0 2.202934 \n", | |
"... ... ... ... ... \n", | |
"2022-08-07 00:00:00 1094.343235 828.961479 681.921503 1134.761149 \n", | |
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"2022-08-10 00:00:00 1094.343235 1011.564882 863.767237 1042.217522 \n", | |
"2022-08-11 00:00:00 1011.390103 924.610881 742.536748 1042.951995 \n", | |
"\n", | |
"市町村名 君津市 富津市 袖ケ浦市 市原市 \n", | |
"2次医療圏 NaN NaN NaN 市原 \n", | |
"2021-03-01 00:00:00 6.142355 14.168989 9.395259 14.540953 \n", | |
"2021-03-02 00:00:00 6.142355 14.168989 10.961135 18.269403 \n", | |
"2021-03-03 00:00:00 2.456942 7.084494 9.395259 18.269403 \n", | |
"2021-03-04 00:00:00 3.685413 2.361498 7.829382 19.387938 \n", | |
"... ... ... ... ... \n", | |
"2022-08-07 00:00:00 1206.761835 1133.433867 1121.976166 1123.932827 \n", | |
"2022-08-08 00:00:00 1071.574744 1004.524006 1072.386059 1081.902618 \n", | |
"2022-08-09 00:00:00 1097.619963 1023.982099 1090.982349 1101.791913 \n", | |
"2022-08-10 00:00:00 1044.289276 951.014253 1046.041315 1092.78544 \n", | |
"2022-08-11 00:00:00 1020.724553 926.691638 1104.929567 1092.0349 \n", | |
"\n", | |
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" <th>市町村名</th>\n", | |
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" <th>市川市</th>\n", | |
" <th>浦安市</th>\n", | |
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" <th>館山市</th>\n", | |
" <th>鴨川市</th>\n", | |
" <th>南房総市</th>\n", | |
" <th>鋸南町</th>\n", | |
" <th>木更津市</th>\n", | |
" <th>君津市</th>\n", | |
" <th>富津市</th>\n", | |
" <th>袖ケ浦市</th>\n", | |
" <th>市原市</th>\n", | |
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" <th>2次医療圏</th>\n", | |
" <td>千葉</td>\n", | |
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" <td>NaN</td>\n", | |
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" <th>2021-03-01 00:00:00</th>\n", | |
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" <th>2021-03-02 00:00:00</th>\n", | |
" <td>13.138182</td>\n", | |
" <td>16.499492</td>\n", | |
" <td>7.059945</td>\n", | |
" <td>28.562125</td>\n", | |
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" <th>2021-03-03 00:00:00</th>\n", | |
" <td>12.323411</td>\n", | |
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" <th>2022-08-07 00:00:00</th>\n", | |
" <td>1197.099415</td>\n", | |
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" <th>2022-08-08 00:00:00</th>\n", | |
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" <th>2022-08-09 00:00:00</th>\n", | |
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" <th>2022-08-10 00:00:00</th>\n", | |
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" <td>1042.951995</td>\n", | |
" <td>1020.724553</td>\n", | |
" <td>926.691638</td>\n", | |
" <td>1104.929567</td>\n", | |
" <td>1092.0349</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"<p>530 rows × 54 columns</p>\n", | |
"</div>\n", | |
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3b79f4bd-69ff-4537-8540-06a0d94164a8')\"\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", | |
" <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n", | |
" <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n", | |
" </svg>\n", | |
" </button>\n", | |
" \n", | |
" <style>\n", | |
" .colab-df-container {\n", | |
" display:flex;\n", | |
" flex-wrap:wrap;\n", | |
" gap: 12px;\n", | |
" }\n", | |
"\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", | |
" padding: 0 0 0 0;\n", | |
" width: 32px;\n", | |
" }\n", | |
"\n", | |
" .colab-df-convert:hover {\n", | |
" background-color: #E2EBFA;\n", | |
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n", | |
" fill: #174EA6;\n", | |
" }\n", | |
"\n", | |
" [theme=dark] .colab-df-convert {\n", | |
" background-color: #3B4455;\n", | |
" fill: #D2E3FC;\n", | |
" }\n", | |
"\n", | |
" [theme=dark] .colab-df-convert:hover {\n", | |
" background-color: #434B5C;\n", | |
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n", | |
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n", | |
" fill: #FFFFFF;\n", | |
" }\n", | |
" </style>\n", | |
"\n", | |
" <script>\n", | |
" const buttonEl =\n", | |
" document.querySelector('#df-3b79f4bd-69ff-4537-8540-06a0d94164a8 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-3b79f4bd-69ff-4537-8540-06a0d94164a8');\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", | |
" " | |
] | |
}, | |
"metadata": {}, | |
"execution_count": 19 | |
} | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"source": [ | |
"" | |
], | |
"metadata": { | |
"id": "9vhoXuIkTplw" | |
}, | |
"execution_count": null, | |
"outputs": [] | |
} | |
] | |
} |
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