{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0",
   "metadata": {},
   "source": [
    "# Usage | 5. Custom data imports\n",
    "This notebook explains how custom data sets can be imported into growbikenet to adapt to a specific situation, growing more realistically.  \n",
    "Parameters covered: `city_boundary_file`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f1e75528-7274-443c-92d4-dec397fe9d85",
   "metadata": {},
   "source": [
    "We start every Usage notebook with the standard way of importing growbikenet:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e85c6ba0-8415-4c88-a365-0a50375381b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import growbikenet as gbn"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f8eb802-37cf-4ced-a402-daad2cdbafb6",
   "metadata": {},
   "source": [
    "Rest to be written."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.12.13"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}