bug.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0a7d3700",
   "metadata": {},
   "outputs": [],
   "source": [
    "from policyengine_us import Microsimulation\n",
    "\n",
    "sim = Microsimulation()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8cc595b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Series([], dtype: object)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sim.calculate_dataframe([\n",
    "    \"person_id\",\n",
    "    \"household_id\"\n",
    "]).sum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ed48d4d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0             607\n",
       "1             608\n",
       "2             609\n",
       "3             708\n",
       "4             709\n",
       "           ...   \n",
       "144260    9036774\n",
       "144261    9036775\n",
       "144262    9036776\n",
       "144263    9036777\n",
       "144264    9036778\n",
       "Length: 144265, dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "pd.DataFrame(sim.calculate_dataframe([\n",
    "    \"person_id\",\n",
    "    \"household_id\"\n",
    "])).sum(axis=1)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "policyengine",
   "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": "3.11.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}