https://github.com/gmplot/gmplot

Plot data on Google Maps, the easy way.
https://github.com/gmplot/gmplot

google-maps python visualization

Last synced: about 2 months ago
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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 (about 10 years ago)
• Default Branch: master
• Last Pushed: 2021-10-14T20:35:53.000Z (over 3 years ago)
• Last Synced: 2024-09-07T06:47:30.672Z (4 months 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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• jimsghstars - gmplot/gmplot - Plot data on Google Maps, the easy way. (Python)

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 ([email protected]) `pygmaps `_ module.