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Provide a matplotlib like interface to plotting data with Google Maps

Project description

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)



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.


Code hosted on GitHub

Install easily with pip install gmplot from PyPI.

Inspired by Yifei Jiang’s ( pygmaps module.

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gmplot-1.0.5.tar.gz (115.3 kB view hashes)

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