https://github.com/gmplot/gmplot
Plot data on Google Maps, the easy way.
https://github.com/gmplot/gmplot
google-maps python visualization
Last synced: 3 months ago
JSON representation
Plot data on Google Maps, the easy way.
- Host: GitHub
- URL: https://github.com/gmplot/gmplot
- Owner: gmplot
- License: mit
- Created: 2014-11-17T05:36:18.000Z (almost 11 years ago)
- Default Branch: master
- Last Pushed: 2021-10-14T20:35:53.000Z (about 4 years ago)
- Last Synced: 2024-09-07T06:47:30.672Z (about 1 year ago)
- Topics: google-maps, python, visualization
- Language: Python
- Homepage:
- Size: 25.8 MB
- Stars: 826
- Watchers: 39
- Forks: 259
- Open Issues: 27
-
Metadata Files:
- Readme: README.rst
- License: LICENSE
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README
gmplot |PyVersions|_
====================
.. |PyVersions| image:: https://img.shields.io/pypi/pyversions/gmplot?style=flat-square
.. _PyVersions: https://www.python.org/
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
------------
.. code:: python
import gmplot
# Create the map plotter:
apikey = '' # (your API key here)
gmap = gmplot.GoogleMapPlotter(37.766956, -122.448481, 14, apikey=apikey)
# Mark a hidden gem:
gmap.marker(37.770776, -122.461689, color='cornflowerblue')
# 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)
# 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)
# Draw the map to an HTML file:
gmap.draw('map.html')
.. image:: https://raw.githubusercontent.com/gmplot/gmplot/master/docs/images/README_Example.png
----
Inspired by Yifei Jiang's (jiangyifei@gmail.com) `pygmaps `_ module.