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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import requests\n",
"import os\n",
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"tags": [
"parameters"
]
},
"outputs": [],
"source": [
"out_folder = \"../data/covidtracking/\"\n",
"PAPERMILL_OUTPUT_PATH = None"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Download state metadata\n",
"\n",
"Download a dataset of URLs for data for each US state and several territories. See [Google Doc](https://docs.google.com/spreadsheets/d/18oVRrHj3c183mHmq3m89_163yuYltLNlOmPerQ18E8w/htmlview?sle=true)."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"url = 'http://covidtracking.com/api/states/info'\n",
"r = requests.get(url, allow_redirects=True)\n",
"states_metadata_json = r.content"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# save the result\n",
"if PAPERMILL_OUTPUT_PATH:\n",
" out_path = os.path.join(out_folder, 'states-metadata.json')\n",
" with open(out_path, 'wb') as f:\n",
" f.write(states_metadata_json)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"metadata_df = pd.read_json(states_metadata_json)\n",
"print(len(metadata_df), \"states and territories have metadata\")\n",
"metadata_df.head(2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Download daily state data"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"url = 'https://covidtracking.com/api/states/daily'\n",
"r = requests.get(url, allow_redirects=True)\n",
"states_daily_json = r.content"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# save the result\n",
"if PAPERMILL_OUTPUT_PATH:\n",
" out_path = os.path.join(out_folder, 'states-daily.json')\n",
" with open(out_path, 'wb') as f:\n",
" f.write(states_daily_json)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"data_df = pd.read_json(states_daily_json)\n",
"print(len(data_df), \"data points\")\n",
"data_df.head(2)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 4
}