{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.3.0.dev\n" ] } ], "source": [ "import os\n", "import folium\n", "\n", "print(folium.__version__)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import numpy as np\n", "\n", "data = (np.random.normal(size=(100, 3)) *\n", " np.array([[1, 1, 1]]) +\n", " np.array([[48, 5, 1]])).tolist()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
" ], "text/plain": [ "" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from folium.plugins import HeatMap\n", "\n", "m = folium.Map([48., 5.], tiles='stamentoner', zoom_start=6)\n", "\n", "HeatMap(data).add_to(m)\n", "\n", "m.save(os.path.join('results', 'Heatmap.html'))\n", "\n", "m" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.5.2" } }, "nbformat": 4, "nbformat_minor": 1 }