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", ,api_key = '------------')
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 edited from GitHub <https://github.com/vgm64/gmplot>, as the author was non responsive.
As such, download the package and manually install it in your virtual environment using the setup.py
file.