Python implementation of the S2 Geometry Library
Project description
s2sphere
Python implementation of a part of the C++ S2 Geometry Library. The S2 Geometry Library is explained in more detail here.
It maps a sphere to a 1D index. This enables scalable proximity searches on distributed indices such as with MongoDB and App Engine Datastore. The test cases of this package are quite extensive and reflect those in the original S2 Geometry Library.
Documentation: http://s2sphere.readthedocs.org
Getting Started
pip install s2sphere # not yet
pip install https://github.com/sidewalklabs/sphere/archive/modularize.zip
For example, to get the S2 cells covering a LatLon-rectangle:
import s2sphere
r = s2sphere.RegionCoverer()
p1 = s2sphere.LatLon.from_degrees(33, -122)
p2 = s2sphere.LatLon.from_degrees(33.1, -122.1)
cell_ids = r.get_covering(s2sphere.LatLonRect.from_point_pair(p1, p2))
print(cell_ids)
which prints this list:
[9291041754864156672, 9291043953887412224, 9291044503643226112, 9291045878032760832, 9291047252422295552, 9291047802178109440, 9291051650468806656, 9291052200224620544]
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
s2sphere-0.1.3.tar.gz
(20.7 kB
view hashes)
Built Distribution
Close
Hashes for s2sphere-0.1.3-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e6b9b8e1475fde6d7accaf4bced8aebcd45c26456ea286bf3090e37ed0d2f1cd |
|
MD5 | 6cc2f9a61e507ca4b1013bf3dda665f9 |
|
BLAKE2b-256 | ec084812c6b7176d84eeb6c88665e26e4db051df47cbe4d2c0c3b0b07204b802 |