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Python implementation of the S2 Geometry Library

Project description

s2sphere

https://travis-ci.org/sidewalklabs/sphere.svg?branch=modularize

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]

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