A matplotlib-like interface to plot data with Google Maps.
Project description
A matplotlib-like interface to render all the data you’d like on top of Google Maps.
Several plotting methods make creating exploratory map views effortless.
To install: pip install gmplot
Documentation (with examples): API Reference
Crash course
import gmplot # Create the map plotter: apikey = '' # (your API key here) gmap = gmplot.GoogleMapPlotter(37.766956, -122.448481, 14, apikey=apikey) # Outline the Golden Gate Park: golden_gate_park = zip(*[ (37.771269, -122.511015), (37.773495, -122.464830), (37.774797, -122.454538), (37.771988, -122.454018), (37.773646, -122.440979), (37.772742, -122.440797), (37.771096, -122.453889), (37.768669, -122.453518), (37.766227, -122.460213), (37.764028, -122.510347) ]) gmap.polygon(*golden_gate_park, color='cornflowerblue', edge_width=10) # Highlight some attractions: attractions_lats, attractions_lngs = zip(*[ (37.769901, -122.498331), (37.768645, -122.475328), (37.771478, -122.468677), (37.769867, -122.466102), (37.767187, -122.467496), (37.770104, -122.470436) ]) gmap.scatter(attractions_lats, attractions_lngs, color='#3B0B39', size=40, marker=False) # Mark a hidden gem: gmap.marker(37.770776, -122.461689, color='cornflowerblue') # Draw the map: gmap.draw('map.html')
Inspired by Yifei Jiang’s (jiangyifei@gmail.com) pygmaps module.
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