examples/Marks/Pyplot/Map.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import bqplot.pyplot as plt\n",
    "from bqplot import Orthographic, ColorScale, Mercator, AlbersUSA, Tooltip"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basic Map ##"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(title=\"Basic Map\")\n",
    "plt.geo(map_data=\"WorldMap\")\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Advanced Map and Projection ##"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(title=\"Advanced Map\")\n",
    "geo_scale = Orthographic(scale_factor=375, center=[0, 25], rotate=(-50, 0))\n",
    "plt.scales(scales={\"projection\": geo_scale})\n",
    "map_mark = plt.geo(\n",
    "    map_data=\"WorldMap\",\n",
    "    colors={682: \"Green\", 356: \"Red\", 643: \"#0000ff\", \"default_color\": \"DarkOrange\"},\n",
    ")\n",
    "fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "geo_scale.scale = 350"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Choropleth ##"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(title=\"Choropleth\")\n",
    "plt.scales(scales={\"projection\": Mercator(), \"color\": ColorScale(scheme=\"YlOrRd\")})\n",
    "chloro_map = plt.geo(\n",
    "    map_data=\"WorldMap\",\n",
    "    color={643: 105.0, 4: 21.0, 398: 23.0, 156: 42.0, 124: 78.0, 76: 98.0},\n",
    "    colors={\"default_color\": \"Grey\"},\n",
    ")\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## USA State Map ##"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(title=\"US States Map\")\n",
    "plt.scales(scales={\"projection\": AlbersUSA()})\n",
    "states_map = plt.geo(map_data=\"USStatesMap\")\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Europe Country Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(title=\"Europe Countries Map\")\n",
    "plt.scales(scales={\"projection\": Mercator(scale_factor=450)})\n",
    "euro_map = plt.geo(map_data=\"EuropeMap\")\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interactions ##"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(title=\"Interactions\")\n",
    "def_tt = Tooltip(fields=[\"id\", \"name\"])\n",
    "map_mark = plt.geo(\n",
    "    map_data=\"WorldMap\",\n",
    "    tooltip=def_tt,\n",
    "    interactions={\"click\": \"select\", \"hover\": \"tooltip\"},\n",
    ")\n",
    "fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# clicking on any country will update the 'selected' attribute of map_mark\n",
    "map_mark.selected"
   ]
  }
 ],
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