Plotting data on Google Maps, the easy way. A matplotlib-like interface to generate the HTML and javascript to render all the data you'd like on top of Google Maps. Several plotting methods make creating exploratory map views effortless. Here's a crash course:
import gmplot
gmap = gmplot.GoogleMapPlotter(37.428, -122.145, 16)
gmap.plot(latitudes, longitudes, 'cornflowerblue', edge_width=10)
gmap.scatter(more_lats, more_lngs, '#3B0B39', size=40, marker=False)
gmap.scatter(marker_lats, marker_lngs, 'k', marker=True)
gmap.heatmap(heat_lats, heat_lngs)
gmap.draw("mymap.html")
gmplot contains a simple wrapper around Google's geocoding service enabling
map initilization to the location of your choice. Rather than providing latitude,
longitude, and zoom level during initialization, grab your gmplot instance with
a location:
gmap = gmplot.from_geocode("San Francisco")
- Polygons with fills.
- Drop pins.
- Scatter points.
- Grid lines.
- Heatmaps.
Code hosted on GitHub
Install easily with pip install gmplot from PyPI.
Inspired by Yifei Jiang's (jiangyifei@gmail.com) pygmaps module.