{ "cells": [ { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# Excess deaths due to COVID-19" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "\n", "import causalpy as cp" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "%load_ext autoreload\n", "%autoreload 2\n", "%config InlineBackend.figure_format = 'retina'\n", "seed = 42" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Load data" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | temp | \n", "deaths | \n", "year | \n", "month | \n", "t | \n", "pre | \n", "
---|---|---|---|---|---|---|
date | \n", "\n", " | \n", " | \n", " | \n", " | \n", " | \n", " |
2006-01-01 | \n", "3.8 | \n", "49124 | \n", "2006 | \n", "1 | \n", "0 | \n", "True | \n", "
2006-02-01 | \n", "3.4 | \n", "42664 | \n", "2006 | \n", "2 | \n", "1 | \n", "True | \n", "
2006-03-01 | \n", "3.9 | \n", "49207 | \n", "2006 | \n", "3 | \n", "2 | \n", "True | \n", "
2006-04-01 | \n", "7.4 | \n", "40645 | \n", "2006 | \n", "4 | \n", "3 | \n", "True | \n", "
2006-05-01 | \n", "10.7 | \n", "42425 | \n", "2006 | \n", "5 | \n", "4 | \n", "True | \n", "