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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Mapboxgl Python Library for location data visualization\n",
+    "\n",
+    "https://github.com/mapbox/mapboxgl-jupyter\n",
+    "\n",
+    "## Maps using Pandas DataFrame accessors\n",
+    "requires Pandas > 0.23"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import os\n",
+    "from mapboxgl.utils import *\n",
+    "from mapboxgl.viz import *\n",
+    "\n",
+    "# Set Mapbox public token, starting with `pk`\n",
+    "token = os.getenv('MAPBOX_ACCESS_TOKEN')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Define Accessor with `mapbox` namespace"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "@pd.api.extensions.register_dataframe_accessor('mapbox')\n",
+    "class GeoAccessor(object):\n",
+    "    \"\"\"\n",
+    "    https://pandas.pydata.org/pandas-docs/stable/extending.html\n",
+    "    \"\"\"\n",
+    "    \n",
+    "    def __init__(self, pandas_obj):\n",
+    "        self._obj = pandas_obj\n",
+    "\n",
+    "    @property\n",
+    "    def center(self):\n",
+    "        # return the geographic center point of this DataFrame\n",
+    "        lat = self._obj.lat\n",
+    "        lon = self._obj.lon\n",
+    "        return (float(lon.mean()), float(lat.mean()))\n",
+    "\n",
+    "    def draw_map(self, color_property, color_stops):\n",
+    "        \n",
+    "        data = df_to_geojson(df, \n",
+    "                             properties=['Avg Medicare Payments', \n",
+    "                                         'Avg Covered Charges', \n",
+    "                                         'date'], \n",
+    "                             lat='lat', \n",
+    "                             lon='lon', \n",
+    "                             precision=3)\n",
+    "        \n",
+    "        viz = CircleViz(data, \n",
+    "                        access_token=token, \n",
+    "                        color_property=color_property,\n",
+    "                        color_stops=color_stops,\n",
+    "                        radius=2, \n",
+    "                        center=(-95, 40), \n",
+    "                        zoom=3)\n",
+    "        \n",
+    "        viz.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Create a visualization from a Pandas dataframe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load data from sample csv\n",
+    "data_url = 'https://raw.githubusercontent.com/mapbox/mapboxgl-jupyter/master/examples/data/points.csv'\n",
+    "df = pd.read_csv(data_url).round(3)\n",
+    "\n",
+    "# Generate data breaks using numpy quantiles and color stops from colorBrewer\n",
+    "measure = 'Avg Medicare Payments'\n",
+    "color_breaks = [round(df[measure].quantile(q=x*0.1), 2) for x in range(1, 9)]\n",
+    "color_stops = create_color_stops(color_breaks, colors='YlGnBu')\n",
+    "\n",
+    "# Make map with dataframe accessor\n",
+    "df.mapbox.draw_map(measure, color_stops)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {
+   "attach-environment": true,
+   "environment": "Root",
+   "summary": "Mapboxgl Python Data Visualization example"
+  },
+  "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": "3.6.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}