aviplot 1.0.0

Provide a matplotlib like interface to plotting data with Google Maps

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")

Geocoding

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")

Plot types

• Polygons with fills.

• Drop pins.

• Scatter points.

• Grid lines.

• Heatmaps.

Misc.

Code hosted on GitHub

Install easily with pip install gmplot from PyPI.

Inspired by Yifei Jiang’s ([e-mail]) pygmaps module.