{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0",
   "metadata": {},
   "source": [
    "[![image](https://jupyterlite.rtfd.io/en/latest/_static/badge.svg)](https://demo.leafmap.org/lab/index.html?path=notebooks/24_heatmap.ipynb)\n",
    "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/leafmap/blob/master/docs/notebooks/24_heatmap.ipynb)\n",
    "[![image](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/opengeos/leafmap/HEAD)\n",
    "\n",
    "**Creating heat maps from csv**\n",
    "\n",
    "Uncomment the following line to install [leafmap](https://leafmap.org) if needed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# !pip install leafmap"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2",
   "metadata": {},
   "source": [
    "Specify the file path to the CSV. It can either be a file locally or on the Internet."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3",
   "metadata": {},
   "outputs": [],
   "source": [
    "filepath = \"https://raw.githubusercontent.com/opengeos/leafmap/master/examples/data/us_cities.csv\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4",
   "metadata": {},
   "source": [
    "Use the ipyleaflet plotting backend."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import leafmap.leafmap as leafmap"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6",
   "metadata": {},
   "source": [
    "Specify the `latitude`, `longitude`, and `value` columns to create the heat map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7",
   "metadata": {},
   "outputs": [],
   "source": [
    "m = leafmap.Map()\n",
    "m.add_heatmap(\n",
    "    filepath,\n",
    "    latitude=\"latitude\",\n",
    "    longitude=\"longitude\",\n",
    "    value=\"pop_max\",\n",
    "    name=\"Heat map\",\n",
    "    radius=20,\n",
    ")\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8",
   "metadata": {},
   "source": [
    "Use the folium plotting backend."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import leafmap.foliumap as leafmap"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10",
   "metadata": {},
   "source": [
    "Specify the `latitude`, `longitude`, and `value` columns to create the heat map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "11",
   "metadata": {},
   "outputs": [],
   "source": [
    "m = leafmap.Map()\n",
    "m.add_heatmap(\n",
    "    filepath,\n",
    "    latitude=\"latitude\",\n",
    "    longitude=\"longitude\",\n",
    "    value=\"pop_max\",\n",
    "    name=\"Heat map\",\n",
    "    radius=20,\n",
    ")\n",
    "m"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}