{ "cells": [ { "cell_type": "markdown", "id": "0", "metadata": {}, "source": [ "# Usage | 4. Data export and visualization\n", "This notebook explains how a bike network grown by growbikenet can be exported and visualized. \n", "Parameters covered: `export_data`, `export_file_format`, `city_name`, `export_data_slug`, `export_plots`, `export_video`, `crs_projected`" ] }, { "cell_type": "markdown", "id": "b2d430f4-7895-457e-9212-fa47a7c04118", "metadata": {}, "source": [ "We start every Usage notebook with the standard way of importing growbikenet:" ] }, { "cell_type": "code", "execution_count": null, "id": "16dc4c5b-c155-497d-bf6d-e1b262df0555", "metadata": {}, "outputs": [], "source": [ "import growbikenet as gbn" ] }, { "cell_type": "markdown", "id": "6fcc05db-4796-442a-848b-161686bd7bc4", "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 }