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.
2 maintainers
Release files for gmplot 1.4.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gmplot-1.4.1.tar.gz | 136.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gmplot-1.4.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 301.0 kB
Release files / gmplot-1.4.1.tar.gz
| Download URL | gmplot-1.4.1.tar.gz |
|---|---|
| Size | 136.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
cfe72d251c17b5c05043169d121a9728554bf65b8c96760ce9fabb6d269c6667
|
|
BLAKE2b-256 checksum How to use checksums |
61fab37cfaafdb919542224dcd5dcfa7cb1d19e06055fc7c04b13b0728da33c6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.3
|
Release files / gmplot-1.4.1-py3-none-any.whl
| Download URL | gmplot-1.4.1-py3-none-any.whl |
|---|---|
| Size | 164.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
873bcecd90f0e63a73b2876e15a2225145d726f3b7cfb47a363a3a5459fc778d
|
|
BLAKE2b-256 checksum How to use checksums |
2f2f45399c0a3b75d22a6ece1a1732a1670836cf284de7c1f91379a8d9b666a1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.3
|
