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lisphilar/monkeypox_linelist-to-sir_20220902.ipynb

Created September 2, 2022 13:58
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monkeypox_linelist-to-sir_20220902.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"collapsed_sections": [],
"authorship_tag": "ABX9TyNpuiY7XNX78IAwwkO6tTu7",
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"name": "python"
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"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/lisphilar/ae24c369d21cfeb89a673de1f6edb2b9/monkeypox_linelist-to-sir_20220902.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": 1,
"metadata": {
"id": "jUeS4l15ZgUB"
},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"source": [
"raw = pd.read_csv(\"https://raw.githubusercontent.com/globaldothealth/monkeypox/main/latest.csv\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "OuAmBW9HZ8aV",
"outputId": "51961a9a-14e7-488e-d1a2-48520091ea81"
},
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.7/dist-packages/IPython/core/interactiveshell.py:3326: DtypeWarning: Columns (12,14,16,18,21,22,24,25,29) have mixed types.Specify dtype option on import or set low_memory=False.\n",
" exec(code_obj, self.user_global_ns, self.user_ns)\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"raw = pd.read_csv(\"https://raw.githubusercontent.com/globaldothealth/monkeypox/main/latest.csv\", engine=\"python\")"
],
"metadata": {
"id": "GmNIiVKraCur"
},
"execution_count": 3,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"## Check records"
],
"metadata": {
"id": "_1wAoOvxdPmJ"
}
},
{
"cell_type": "code",
"source": [
"raw.info()"
],
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"base_uri": "https://localhost:8080/"
},
"id": "_klrZPU8ahho",
"outputId": "dbf17962-6d4f-46fc-c63e-b8fc7f02faf0"
},
"execution_count": 4,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 55686 entries, 0 to 55685\n",
"Data columns (total 36 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 ID 55686 non-null object \n",
" 1 Status 55686 non-null object \n",
" 2 Location 41328 non-null object \n",
" 3 City 1309 non-null object \n",
" 4 Country 55686 non-null object \n",
" 5 Country_ISO3 55686 non-null object \n",
" 6 Age 2792 non-null object \n",
" 7 Gender 2284 non-null object \n",
" 8 Date_onset 69 non-null object \n",
" 9 Date_confirmation 52719 non-null object \n",
" 10 Symptoms 208 non-null object \n",
" 11 Hospitalised (Y/N/NA) 309 non-null object \n",
" 12 Date_hospitalisation 35 non-null object \n",
" 13 Isolated (Y/N/NA) 433 non-null object \n",
" 14 Date_isolation 16 non-null object \n",
" 15 Outcome 94 non-null object \n",
" 16 Contact_comment 91 non-null object \n",
" 17 Contact_ID 27 non-null float64\n",
" 18 Contact_location 6 non-null object \n",
" 19 Travel_history (Y/N/NA) 352 non-null object \n",
" 20 Travel_history_entry 39 non-null object \n",
" 21 Travel_history_start 10 non-null object \n",
" 22 Travel_history_location 111 non-null object \n",
" 23 Travel_history_country 96 non-null object \n",
" 24 Genomics_Metadata 24 non-null object \n",
" 25 Confirmation_method 99 non-null object \n",
" 26 Source 55686 non-null object \n",
" 27 Source_II 7495 non-null object \n",
" 28 Source_III 845 non-null object \n",
" 29 Source_IV 54 non-null object \n",
" 30 Source_V 0 non-null float64\n",
" 31 Source_VI 0 non-null float64\n",
" 32 Source_VII 0 non-null float64\n",
" 33 Date_entry 55686 non-null object \n",
" 34 Date_death 76 non-null object \n",
" 35 Date_last_modified 55686 non-null object \n",
"dtypes: float64(4), object(32)\n",
"memory usage: 15.3+ MB\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"raw.head()"
],
"metadata": {
"colab": {
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"height": 595
},
"id": "E4E41rH_akay",
"outputId": "9597841e-4880-42e3-ece6-f5ff7c5dda8b"
},
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"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" ID Status Location City Country \\\n",
"0 N1 confirmed Guy's and St Thomas Hospital London London England \n",
"1 N2 confirmed Guy's and St Thomas Hospital London London England \n",
"2 N3 confirmed London London England \n",
"3 N4 confirmed London London England \n",
"4 N5 confirmed London London England \n",
"\n",
" Country_ISO3 Age Gender Date_onset Date_confirmation ... \\\n",
"0 GBR NaN NaN 2022-04-29 2022-05-06 ... \n",
"1 GBR NaN NaN 2022-05-05 2022-05-12 ... \n",
"2 GBR NaN NaN 2022-04-30 2022-05-13 ... \n",
"3 GBR NaN male NaN 2022-05-15 ... \n",
"4 GBR NaN male NaN 2022-05-15 ... \n",
"\n",
" Source \\\n",
"0 https://www.gov.uk/government/news/monkeypox-c... \n",
"1 https://www.gov.uk/government/news/monkeypox-c... \n",
"2 https://www.gov.uk/government/news/monkeypox-c... \n",
"3 https://www.gov.uk/government/news/monkeypox-c... \n",
"4 https://www.gov.uk/government/news/monkeypox-c... \n",
"\n",
" Source_II Source_III Source_IV \\\n",
"0 https://www.who.int/emergencies/disease-outbre... NaN NaN \n",
"1 NaN NaN NaN \n",
"2 NaN NaN NaN \n",
"3 NaN NaN NaN \n",
"4 NaN NaN NaN \n",
"\n",
" Source_V Source_VI Source_VII Date_entry Date_death Date_last_modified \n",
"0 NaN NaN NaN 2022-05-18 NaN 2022-05-18 \n",
"1 NaN NaN NaN 2022-05-18 NaN 2022-05-18 \n",
"2 NaN NaN NaN 2022-05-18 NaN 2022-05-18 \n",
"3 NaN NaN NaN 2022-05-18 NaN 2022-05-18 \n",
"4 NaN NaN NaN 2022-05-18 NaN 2022-05-18 \n",
"\n",
"[5 rows x 36 columns]"
],
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"\n",
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" <th></th>\n",
" <th>ID</th>\n",
" <th>Status</th>\n",
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" <th>City</th>\n",
" <th>Country</th>\n",
" <th>Country_ISO3</th>\n",
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" <tr>\n",
" <th>0</th>\n",
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" <td>Guy's and St Thomas Hospital London</td>\n",
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" <td>2022-04-29</td>\n",
" <td>2022-05-06</td>\n",
" <td>...</td>\n",
" <td>https://www.gov.uk/government/news/monkeypox-c...</td>\n",
" <td>https://www.who.int/emergencies/disease-outbre...</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2022-05-18</td>\n",
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" <td>2022-05-18</td>\n",
" </tr>\n",
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" <th>1</th>\n",
" <td>N2</td>\n",
" <td>confirmed</td>\n",
" <td>Guy's and St Thomas Hospital London</td>\n",
" <td>London</td>\n",
" <td>England</td>\n",
" <td>GBR</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2022-05-05</td>\n",
" <td>2022-05-12</td>\n",
" <td>...</td>\n",
" <td>https://www.gov.uk/government/news/monkeypox-c...</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>2022-05-18</td>\n",
" <td>NaN</td>\n",
" <td>2022-05-18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>N3</td>\n",
" <td>confirmed</td>\n",
" <td>London</td>\n",
" <td>London</td>\n",
" <td>England</td>\n",
" <td>GBR</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2022-04-30</td>\n",
" <td>2022-05-13</td>\n",
" <td>...</td>\n",
" <td>https://www.gov.uk/government/news/monkeypox-c...</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>2022-05-18</td>\n",
" <td>NaN</td>\n",
" <td>2022-05-18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>N4</td>\n",
" <td>confirmed</td>\n",
" <td>London</td>\n",
" <td>London</td>\n",
" <td>England</td>\n",
" <td>GBR</td>\n",
" <td>NaN</td>\n",
" <td>male</td>\n",
" <td>NaN</td>\n",
" <td>2022-05-15</td>\n",
" <td>...</td>\n",
" <td>https://www.gov.uk/government/news/monkeypox-c...</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>2022-05-18</td>\n",
" <td>NaN</td>\n",
" <td>2022-05-18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>N5</td>\n",
" <td>confirmed</td>\n",
" <td>London</td>\n",
" <td>London</td>\n",
" <td>England</td>\n",
" <td>GBR</td>\n",
" <td>NaN</td>\n",
" <td>male</td>\n",
" <td>NaN</td>\n",
" <td>2022-05-15</td>\n",
" <td>...</td>\n",
" <td>https://www.gov.uk/government/news/monkeypox-c...</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>2022-05-18</td>\n",
" <td>NaN</td>\n",
" <td>2022-05-18</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 36 columns</p>\n",
"</div>\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-27c14570-275c-4baa-a897-cb94940410f5')\"\n",
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"\n",
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" '<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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" element.appendChild(docLink);\n",
" }\n",
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]
},
"metadata": {},
"execution_count": 5
}
]
},
{
"cell_type": "code",
"source": [
"raw.Status.unique()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "CsYchIAwap9F",
"outputId": "2f308f98-cead-48a6-e7cc-e574936d1fa4"
},
"execution_count": 6,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array(['confirmed', 'discarded', 'suspected', 'omit_error'], dtype=object)"
]
},
"metadata": {},
"execution_count": 6
}
]
},
{
"cell_type": "code",
"source": [
"raw.Outcome.unique()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Q9OGG1yVbBqr",
"outputId": "b7d01b41-ef53-47eb-822f-b041ac9a05fc"
},
"execution_count": 7,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([nan, 'Recovered', 'Death'], dtype=object)"
]
},
"metadata": {},
"execution_count": 7
}
]
},
{
"cell_type": "markdown",
"source": [
"## Per protocol set"
],
"metadata": {
"id": "hXu_iqPfdU0O"
}
},
{
"cell_type": "code",
"source": [
"date_cols = [\n",
" \"Date_onset\", \"Date_confirmation\", \"Date_hospitalisation\",\n",
" \"Date_isolation\", \"Date_death\", \"Date_last_modified\"\n",
"]\n",
"cols = [\"ID\", \"Status\", \"City\", \"Country_ISO3\", \"Outcome\", *date_cols]\n",
"df = raw.loc[:, cols].rename(columns={\"Country_ISO3\": \"ISO3\"})\n",
"df = df.loc[df[\"Status\"].isin([\"confirmed\", \"suspected\"])]\n",
"\n",
"for col in date_cols:\n",
" df[col] = pd.to_datetime(df[col])\n",
"\n",
"df[\"Date_min\"] = df[date_cols].min(axis=1)\n",
"df[\"Date_recovered\"] = df[[\"Outcome\", \"Date_last_modified\"]].apply(\n",
" lambda x: x[1] if x[0] == \"Recovered\" else pd.NaT, axis=1)\n",
"df[\"City\"] = df[\"City\"].fillna(\"Unknown\")\n",
"\n",
"ppt_df = df.copy()\n",
"ppt_df"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 488
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"id": "Lcm-VQG6dUI-",
"outputId": "ca02bf8b-33e8-4ada-af8d-e8dc065c1be5"
},
"execution_count": 8,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" ID Status City ISO3 Outcome Date_onset Date_confirmation \\\n",
"0 N1 confirmed London GBR NaN 2022-04-29 2022-05-06 \n",
"1 N2 confirmed London GBR NaN 2022-05-05 2022-05-12 \n",
"2 N3 confirmed London GBR NaN 2022-04-30 2022-05-13 \n",
"3 N4 confirmed London GBR NaN NaT 2022-05-15 \n",
"4 N5 confirmed London GBR NaN NaT 2022-05-15 \n",
"... ... ... ... ... ... ... ... \n",
"55681 E2915 suspected Unknown NGA NaN NaT NaT \n",
"55682 E2916 suspected Unknown NGA NaN NaT NaT \n",
"55683 E2917 suspected Unknown NGA NaN NaT NaT \n",
"55684 E2918 confirmed Unknown NGA NaN NaT 2022-08-07 \n",
"55685 E2919 suspected Unknown NGA NaN NaT NaT \n",
"\n",
" Date_hospitalisation Date_isolation Date_death Date_last_modified \\\n",
"0 2022-05-04 2022-05-04 NaT 2022-05-18 \n",
"1 2022-05-06 2022-05-09 NaT 2022-05-18 \n",
"2 NaT NaT NaT 2022-05-18 \n",
"3 NaT NaT NaT 2022-05-18 \n",
"4 NaT NaT NaT 2022-05-18 \n",
"... ... ... ... ... \n",
"55681 NaT NaT NaT 2022-08-19 \n",
"55682 NaT NaT NaT 2022-08-19 \n",
"55683 NaT NaT NaT 2022-08-19 \n",
"55684 NaT NaT NaT 2022-08-19 \n",
"55685 NaT NaT NaT 2022-08-19 \n",
"\n",
" Date_min Date_recovered \n",
"0 2022-04-29 NaT \n",
"1 2022-05-05 NaT \n",
"2 2022-04-30 NaT \n",
"3 2022-05-15 NaT \n",
"4 2022-05-15 NaT \n",
"... ... ... \n",
"55681 2022-08-19 NaT \n",
"55682 2022-08-19 NaT \n",
"55683 2022-08-19 NaT \n",
"55684 2022-08-07 NaT \n",
"55685 2022-08-19 NaT \n",
"\n",
"[54994 rows x 13 columns]"
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" <th></th>\n",
" <th>ID</th>\n",
" <th>Status</th>\n",
" <th>City</th>\n",
" <th>ISO3</th>\n",
" <th>Outcome</th>\n",
" <th>Date_onset</th>\n",
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" <th>Date_hospitalisation</th>\n",
" <th>Date_isolation</th>\n",
" <th>Date_death</th>\n",
" <th>Date_last_modified</th>\n",
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" <th>0</th>\n",
" <td>N1</td>\n",
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" <td>GBR</td>\n",
" <td>NaN</td>\n",
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" <td>2022-05-06</td>\n",
" <td>2022-05-04</td>\n",
" <td>2022-05-04</td>\n",
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" <td>2022-04-29</td>\n",
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" <td>London</td>\n",
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" <td>NaT</td>\n",
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" <tr>\n",
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" <td>N3</td>\n",
" <td>confirmed</td>\n",
" <td>London</td>\n",
" <td>GBR</td>\n",
" <td>NaN</td>\n",
" <td>2022-04-30</td>\n",
" <td>2022-05-13</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>2022-05-18</td>\n",
" <td>2022-04-30</td>\n",
" <td>NaT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>N4</td>\n",
" <td>confirmed</td>\n",
" <td>London</td>\n",
" <td>GBR</td>\n",
" <td>NaN</td>\n",
" <td>NaT</td>\n",
" <td>2022-05-15</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>2022-05-18</td>\n",
" <td>2022-05-15</td>\n",
" <td>NaT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>N5</td>\n",
" <td>confirmed</td>\n",
" <td>London</td>\n",
" <td>GBR</td>\n",
" <td>NaN</td>\n",
" <td>NaT</td>\n",
" <td>2022-05-15</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>2022-05-18</td>\n",
" <td>2022-05-15</td>\n",
" <td>NaT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
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" <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>55681</th>\n",
" <td>E2915</td>\n",
" <td>suspected</td>\n",
" <td>Unknown</td>\n",
" <td>NGA</td>\n",
" <td>NaN</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>2022-08-19</td>\n",
" <td>2022-08-19</td>\n",
" <td>NaT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>55682</th>\n",
" <td>E2916</td>\n",
" <td>suspected</td>\n",
" <td>Unknown</td>\n",
" <td>NGA</td>\n",
" <td>NaN</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>2022-08-19</td>\n",
" <td>2022-08-19</td>\n",
" <td>NaT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>55683</th>\n",
" <td>E2917</td>\n",
" <td>suspected</td>\n",
" <td>Unknown</td>\n",
" <td>NGA</td>\n",
" <td>NaN</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>2022-08-19</td>\n",
" <td>2022-08-19</td>\n",
" <td>NaT</td>\n",
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" <tr>\n",
" <th>55684</th>\n",
" <td>E2918</td>\n",
" <td>confirmed</td>\n",
" <td>Unknown</td>\n",
" <td>NGA</td>\n",
" <td>NaN</td>\n",
" <td>NaT</td>\n",
" <td>2022-08-07</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>2022-08-19</td>\n",
" <td>2022-08-07</td>\n",
" <td>NaT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>55685</th>\n",
" <td>E2919</td>\n",
" <td>suspected</td>\n",
" <td>Unknown</td>\n",
" <td>NGA</td>\n",
" <td>NaN</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>2022-08-19</td>\n",
" <td>2022-08-19</td>\n",
" <td>NaT</td>\n",
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"metadata": {},
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},
{
"cell_type": "markdown",
"source": [
"## Daily new confirmed cases"
],
"metadata": {
"id": "7UAhSfmJhmme"
}
},
{
"cell_type": "code",
"source": [
"df = ppt_df.rename(columns={\"Date_min\": \"Date\"})\n",
"series = df.groupby([\"ISO3\", \"City\", \"Date\"])[\"ID\"].count()\n",
"series.name = \"Confirmed\"\n",
"c_df = pd.DataFrame(series)\n",
"c_df"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 455
},
"id": "77WzD8WxgJk2",
"outputId": "d2914d20-60ea-4b80-ac8f-64de8b5b5056"
},
"execution_count": 73,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Confirmed\n",
"ISO3 City Date \n",
"ABW Unknown 2022-08-22 1\n",
" 2022-08-29 1\n",
"AND Unknown 2022-07-25 1\n",
" 2022-07-26 2\n",
" 2022-08-08 1\n",
"... ...\n",
"ZAF Johannesburg 2022-08-17 1\n",
" Unknown 2022-06-22 1\n",
" 2022-07-11 1\n",
" 2022-08-15 1\n",
"ZMB Unknown 2022-06-24 1\n",
"\n",
"[1642 rows x 1 columns]"
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" <th>2022-08-29</th>\n",
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" <th rowspan=\"4\" valign=\"top\">ZAF</th>\n",
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" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">Unknown</th>\n",
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" [key], {});\n",
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"\n",
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" '<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",
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]
},
"metadata": {},
"execution_count": 73
}
]
},
{
"cell_type": "markdown",
"source": [
"## Daily new recovered cases"
],
"metadata": {
"id": "PWSbvnoph7dg"
}
},
{
"cell_type": "code",
"source": [
"ppt_df.loc[ppt_df.Outcome == \"Recovered\"]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 270
},
"id": "Q-IMfk2LiHHf",
"outputId": "cf8aaf44-ced0-46d6-a5bd-80cacdaff44b"
},
"execution_count": 27,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" ID Status City ISO3 Outcome Date_onset \\\n",
"107 N108 confirmed Melbourne AUS Recovered 2022-05-08 \n",
"28406 N28407 confirmed Unknown TUR Recovered NaT \n",
"28407 N28408 confirmed Unknown TUR Recovered NaT \n",
"28408 N28409 confirmed Unknown TUR Recovered NaT \n",
"28409 N28410 confirmed Unknown TUR Recovered NaT \n",
"\n",
" Date_confirmation Date_hospitalisation Date_isolation Date_death \\\n",
"107 2022-05-20 2022-05-19 2022-05-20 NaT \n",
"28406 2022-08-02 NaT NaT NaT \n",
"28407 2022-08-02 NaT NaT NaT \n",
"28408 2022-08-02 NaT NaT NaT \n",
"28409 2022-08-02 NaT NaT NaT \n",
"\n",
" Date_last_modified Date_min Date_recovered \n",
"107 2022-06-30 2022-05-08 2022-06-30 \n",
"28406 2022-08-05 2022-08-02 2022-08-05 \n",
"28407 2022-08-05 2022-08-02 2022-08-05 \n",
"28408 2022-08-05 2022-08-02 2022-08-05 \n",
"28409 2022-08-05 2022-08-02 2022-08-05 "
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" <th>107</th>\n",
" <td>N108</td>\n",
" <td>confirmed</td>\n",
" <td>Melbourne</td>\n",
" <td>AUS</td>\n",
" <td>Recovered</td>\n",
" <td>2022-05-08</td>\n",
" <td>2022-05-20</td>\n",
" <td>2022-05-19</td>\n",
" <td>2022-05-20</td>\n",
" <td>NaT</td>\n",
" <td>2022-06-30</td>\n",
" <td>2022-05-08</td>\n",
" <td>2022-06-30</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28406</th>\n",
" <td>N28407</td>\n",
" <td>confirmed</td>\n",
" <td>Unknown</td>\n",
" <td>TUR</td>\n",
" <td>Recovered</td>\n",
" <td>NaT</td>\n",
" <td>2022-08-02</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>2022-08-05</td>\n",
" <td>2022-08-02</td>\n",
" <td>2022-08-05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28407</th>\n",
" <td>N28408</td>\n",
" <td>confirmed</td>\n",
" <td>Unknown</td>\n",
" <td>TUR</td>\n",
" <td>Recovered</td>\n",
" <td>NaT</td>\n",
" <td>2022-08-02</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>2022-08-05</td>\n",
" <td>2022-08-02</td>\n",
" <td>2022-08-05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28408</th>\n",
" <td>N28409</td>\n",
" <td>confirmed</td>\n",
" <td>Unknown</td>\n",
" <td>TUR</td>\n",
" <td>Recovered</td>\n",
" <td>NaT</td>\n",
" <td>2022-08-02</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>2022-08-05</td>\n",
" <td>2022-08-02</td>\n",
" <td>2022-08-05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28409</th>\n",
" <td>N28410</td>\n",
" <td>confirmed</td>\n",
" <td>Unknown</td>\n",
" <td>TUR</td>\n",
" <td>Recovered</td>\n",
" <td>NaT</td>\n",
" <td>2022-08-02</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>NaT</td>\n",
" <td>2022-08-05</td>\n",
" <td>2022-08-02</td>\n",
" <td>2022-08-05</td>\n",
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},
"metadata": {},
"execution_count": 27
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]
},
{
"cell_type": "code",
"source": [
"df = ppt_df.rename(columns={\"Date_recovered\": \"Date\"})\n",
"series = df.groupby([\"ISO3\", \"City\", \"Date\"])[\"ID\"].count()\n",
"series.name = \"Recovered\"\n",
"r_df = pd.DataFrame(series)\n",
"r_df"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 143
},
"id": "UzJK9mcwhpid",
"outputId": "739f5ed5-ca99-4466-aace-facb0e028a84"
},
"execution_count": 74,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Recovered\n",
"ISO3 City Date \n",
"AUS Melbourne 2022-06-30 1\n",
"TUR Unknown 2022-08-05 4"
],
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"\n",
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" <tr>\n",
" <th>TUR</th>\n",
" <th>Unknown</th>\n",
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" <td>4</td>\n",
" </tr>\n",
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"</table>\n",
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"\n",
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" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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" element.innerHTML = '';\n",
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"metadata": {},
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},
{
"cell_type": "markdown",
"source": [
"## Daily new fatal cases"
],
"metadata": {
"id": "1QCUguUbiq8w"
}
},
{
"cell_type": "code",
"source": [
"df = ppt_df.rename(columns={\"Date_death\": \"Date\"})\n",
"series = df.groupby([\"ISO3\", \"City\", \"Date\"])[\"ID\"].count()\n",
"series.name = \"Fatal\"\n",
"f_df = pd.DataFrame(series)\n",
"f_df"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 959
},
"id": "WXi3Sphuh-hs",
"outputId": "79177838-4de2-42ab-851e-f67207c20a9d"
},
"execution_count": 75,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Fatal\n",
"ISO3 City Date \n",
"BEL Unknown 2022-08-29 1\n",
"BRA Unknown 2022-07-28 1\n",
" 2022-08-29 1\n",
"CAF Unknown 2022-03-04 2\n",
"COD Unknown 2022-01-16 18\n",
" 2022-01-23 3\n",
" 2022-02-13 8\n",
" 2022-02-27 8\n",
" 2022-03-27 4\n",
" 2022-04-10 3\n",
" 2022-04-24 2\n",
" 2022-05-08 1\n",
" 2022-05-22 6\n",
" 2022-05-29 1\n",
"COG Unknown 2022-05-30 3\n",
"CUB Unknown 2022-08-21 1\n",
"ECU Unknown 2022-08-08 1\n",
"ESP Unknown 2022-07-29 1\n",
" 2022-07-30 1\n",
"GHA Unknown 2022-07-26 1\n",
"IND Unknown 2022-07-30 1\n",
"MEX Unknown 2022-08-15 1\n",
"NGA Unknown 2022-05-29 1\n",
" 2022-07-10 2\n",
" 2022-07-31 1\n",
"PER Unknown 2022-08-01 1\n",
" 2022-08-26 1\n",
"USA Unknown 2022-08-29 1"
],
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" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"2\" valign=\"top\">BRA</th>\n",
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" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"10\" valign=\"top\">COD</th>\n",
" <th rowspan=\"10\" valign=\"top\">Unknown</th>\n",
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" <td>18</td>\n",
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" <td>3</td>\n",
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" <td>2</td>\n",
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" <th>Unknown</th>\n",
" <th>2022-05-30</th>\n",
" <td>3</td>\n",
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" <tr>\n",
" <th>CUB</th>\n",
" <th>Unknown</th>\n",
" <th>2022-08-21</th>\n",
" <td>1</td>\n",
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" <td>1</td>\n",
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" <tr>\n",
" <th rowspan=\"2\" valign=\"top\">ESP</th>\n",
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" <td>1</td>\n",
" </tr>\n",
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" <th>2022-07-30</th>\n",
" <td>1</td>\n",
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" <td>1</td>\n",
" </tr>\n",
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" "
]
},
"metadata": {},
"execution_count": 75
}
]
},
{
"cell_type": "markdown",
"source": [
"## All data (Cumulative number)"
],
"metadata": {
"id": "hylM59U0iyua"
}
},
{
"cell_type": "markdown",
"source": [
"At city level (including unknown):"
],
"metadata": {
"id": "v31c7WyjfF9E"
}
},
{
"cell_type": "code",
"source": [
"df = c_df.combine_first(f_df).combine_first(r_df)\n",
"df = df.unstack(level=[\"ISO3\", \"City\"])\n",
"df = df.asfreq(\"D\").fillna(0).cumsum()\n",
"df = df.stack(level=[\"ISO3\", \"City\"]).reorder_levels([\"ISO3\", \"City\", \"Date\"])\n",
"df = df.sort_index().reset_index()\n",
"all_df_city = df.copy()\n",
"all_df_city"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 424
},
"id": "PyuntblvVZ4P",
"outputId": "73af9bb9-36bb-45a3-ca24-437fbf13d29f"
},
"execution_count": 81,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" ISO3 City Date Confirmed Fatal Recovered\n",
"0 ABW Unknown 2022-01-16 0.0 0.0 0.0\n",
"1 ABW Unknown 2022-01-17 0.0 0.0 0.0\n",
"2 ABW Unknown 2022-01-18 0.0 0.0 0.0\n",
"3 ABW Unknown 2022-01-19 0.0 0.0 0.0\n",
"4 ABW Unknown 2022-01-20 0.0 0.0 0.0\n",
"... ... ... ... ... ... ...\n",
"61367 ZMB Unknown 2022-08-28 1.0 0.0 0.0\n",
"61368 ZMB Unknown 2022-08-29 1.0 0.0 0.0\n",
"61369 ZMB Unknown 2022-08-30 1.0 0.0 0.0\n",
"61370 ZMB Unknown 2022-08-31 1.0 0.0 0.0\n",
"61371 ZMB Unknown 2022-09-01 1.0 0.0 0.0\n",
"\n",
"[61372 rows x 6 columns]"
],
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" <th>Fatal</th>\n",
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" <th>1</th>\n",
" <td>ABW</td>\n",
" <td>Unknown</td>\n",
" <td>2022-01-17</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>ABW</td>\n",
" <td>Unknown</td>\n",
" <td>2022-01-18</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
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" <th>3</th>\n",
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" <td>Unknown</td>\n",
" <td>2022-01-19</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>ABW</td>\n",
" <td>Unknown</td>\n",
" <td>2022-01-20</td>\n",
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" <td>0.0</td>\n",
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" <tr>\n",
" <th>61367</th>\n",
" <td>ZMB</td>\n",
" <td>Unknown</td>\n",
" <td>2022-08-28</td>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61368</th>\n",
" <td>ZMB</td>\n",
" <td>Unknown</td>\n",
" <td>2022-08-29</td>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61369</th>\n",
" <td>ZMB</td>\n",
" <td>Unknown</td>\n",
" <td>2022-08-30</td>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
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" <tr>\n",
" <th>61370</th>\n",
" <td>ZMB</td>\n",
" <td>Unknown</td>\n",
" <td>2022-08-31</td>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
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" <tr>\n",
" <th>61371</th>\n",
" <td>ZMB</td>\n",
" <td>Unknown</td>\n",
" <td>2022-09-01</td>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
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]
},
"metadata": {},
"execution_count": 81
}
]
},
{
"cell_type": "markdown",
"source": [
"At country level (City = \"-\") and city level (City != \"=\")"
],
"metadata": {
"id": "D3F1UijkfJja"
}
},
{
"cell_type": "code",
"source": [
"df2 = all_df_city.groupby([\"ISO3\", \"Date\"], as_index=False).sum()\n",
"df2.insert(1, \"City\", \"-\")\n",
"df = pd.concat([df2, all_df_city], axis=0)\n",
"df = df.loc[df[\"City\"] != \"Unknown\"]\n",
"all_df = df.convert_dtypes()\n",
"all_df"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 424
},
"id": "5Vk1n4P4VZ96",
"outputId": "bc64c89b-720a-41a1-fa02-948b4e3d7a9d"
},
"execution_count": 83,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" ISO3 City Date Confirmed Fatal Recovered\n",
"0 ABW - 2022-01-16 0 0 0\n",
"1 ABW - 2022-01-17 0 0 0\n",
"2 ABW - 2022-01-18 0 0 0\n",
"3 ABW - 2022-01-19 0 0 0\n",
"4 ABW - 2022-01-20 0 0 0\n",
"... ... ... ... ... ... ...\n",
"60909 ZAF Johannesburg 2022-08-28 1 0 0\n",
"60910 ZAF Johannesburg 2022-08-29 1 0 0\n",
"60911 ZAF Johannesburg 2022-08-30 1 0 0\n",
"60912 ZAF Johannesburg 2022-08-31 1 0 0\n",
"60913 ZAF Johannesburg 2022-09-01 1 0 0\n",
"\n",
"[62288 rows x 6 columns]"
],
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" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
" </div>\n",
" "
]
},
"metadata": {},
"execution_count": 83
}
]
},
{
"cell_type": "markdown",
"source": [
"## Optional: check data"
],
"metadata": {
"id": "stAZtn4cjd0e"
}
},
{
"cell_type": "code",
"source": [
"import numpy as np\n",
"\n",
"try:\n",
" import covsirphy as cs\n",
"except ImportError:\n",
" !pip install --upgrade covsirphy -qq\n",
" import covsirphy as cs\n",
"cs.__version__"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"id": "eBI7eVDGi6mt",
"outputId": "384433c1-88ba-4f5f-8103-778854708f17"
},
"execution_count": 84,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"'2.25.0'"
],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "string"
}
},
"metadata": {},
"execution_count": 84
}
]
},
{
"cell_type": "code",
"source": [
"gis = cs.GIS(layers=[\"ISO3\", \"City\"], country=\"ISO3\", date=\"Date\")\n",
"gis.register(data=all_df, convert_iso3=False)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "DiVv1EaAjkZN",
"outputId": "f8ff2d07-df1a-4459-ceca-88cc042cf152"
},
"execution_count": 85,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<covsirphy.gis.gis.GIS at 0x7fa28f18b4d0>"
]
},
"metadata": {},
"execution_count": 85
}
]
},
{
"cell_type": "code",
"source": [
"variable = \"Confirmed\"\n",
"gis.choropleth(variable=variable, filename=None, title=f\"Choropleth map (the number of {variable} cases)\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 335
},
"id": "NjQv6lujjuTv",
"outputId": "59a08add-756d-41b8-991d-767f3c2e2b3a"
},
"execution_count": 86,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 648x432 with 2 Axes>"
],
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"cell_type": "code",
"source": [
"variable = \"Recovered\"\n",
"gis.choropleth(variable=variable, filename=None, title=f\"Choropleth map (the number of {variable} cases)\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 332
},
"id": "_7SKYfmajvV6",
"outputId": "c27658b1-ef2e-434d-94d2-ed032f0e3da0"
},
"execution_count": 87,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 648x432 with 2 Axes>"
],
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"cell_type": "code",
"source": [
"variable = \"Fatal\"\n",
"gis.choropleth(variable=variable, filename=None, title=f\"Choropleth map (the number of {variable} cases)\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 332
},
"id": "O698tNDUjxAj",
"outputId": "b878513b-778f-4546-c261-38dab1c3ab46"
},
"execution_count": 88,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 648x432 with 2 Axes>"
],
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"cell_type": "code",
"source": [
"global_df = gis.subset(geo=None).set_index(\"Date\").astype(np.int64)\n",
"global_df.tail()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 238
},
"id": "D1X0CfRZjyvm",
"outputId": "f96cbd90-5076-44e8-d1f5-152553d9797f"
},
"execution_count": 89,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Confirmed Fatal Recovered\n",
"Date \n",
"2022-08-28 51124 73 5\n",
"2022-08-29 52853 76 5\n",
"2022-08-30 53617 76 5\n",
"2022-08-31 54457 76 5\n",
"2022-09-01 54994 76 5"
],
"text/html": [
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" <th>Confirmed</th>\n",
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" <th>Recovered</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Date</th>\n",
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" <th></th>\n",
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" <tbody>\n",
" <tr>\n",
" <th>2022-08-28</th>\n",
" <td>51124</td>\n",
" <td>73</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2022-08-29</th>\n",
" <td>52853</td>\n",
" <td>76</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2022-08-30</th>\n",
" <td>53617</td>\n",
" <td>76</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2022-08-31</th>\n",
" <td>54457</td>\n",
" <td>76</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2022-09-01</th>\n",
" <td>54994</td>\n",
" <td>76</td>\n",
" <td>5</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3dcf5f8e-2f92-45b3-8c10-bbd118cd3f38')\"\n",
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" <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-3dcf5f8e-2f92-45b3-8c10-bbd118cd3f38 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-3dcf5f8e-2f92-45b3-8c10-bbd118cd3f38');\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": 89
}
]
},
{
"cell_type": "code",
"source": [
"cs.line_plot(global_df, title=\"The number of cases (Global)\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 439
},
"id": "IgnugEw1j1va",
"outputId": "0080fb22-6534-4f21-d95a-2159424790ff"
},
"execution_count": 90,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 648x432 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
}
]
}
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