{ "cells": [ { "cell_type": "markdown", "id": "0", "metadata": {}, "source": [ "## Minimum working example\n", "This notebook runs a minimum working example with fixbikenet" ] }, { "cell_type": "markdown", "id": "1", "metadata": {}, "source": [ "### Import fixbikenet" ] }, { "cell_type": "code", "execution_count": null, "id": "2", "metadata": {}, "outputs": [], "source": [ "import fixbikenet as fbn" ] }, { "cell_type": "markdown", "id": "3", "metadata": {}, "source": [ "### Run fixbikenet with example city Frederiksberg" ] }, { "cell_type": "code", "execution_count": null, "id": "4", "metadata": {}, "outputs": [], "source": [ "gaps = fbn.fixbikenet(\n", " city_name=\"Frederiksberg municipality\",\n", ")" ] }, { "cell_type": "markdown", "id": "5", "metadata": {}, "source": [ "data is saved in `.examples/` as `gaps.gpk`" ] } ], "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" } }, "nbformat": 4, "nbformat_minor": 5 }