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A fast geospatial point clustering module.

Project description

tests

A fast Python 3 module for geospatial point clustering.

This is a port of https://github.com/mapbox/supercluster to C++, conveniently wrapped in a Python module. Initial benchmarks show it to be an order of magnitude (10x) faster than the original JavaScript implementation.

Installing pysupercluster

The easiest way to install pysupercluster is to use pip:

pip install pysupercluster

Using pysupercluster

>>> import numpy
>>> import pysupercluster
>>> points = numpy.array([
...     (2.3522, 48.8566),   # paris
...     (-0.1278, 51.5074),  # london
...     (-0.0077, 51.4826),  # greenwhich
... ])
>>> index = pysupercluster.SuperCluster(
...     points,
...     min_zoom=0,
...     max_zoom=16,
...     radius=40,
...     extent=512)
>>> clusters = index.getClusters(
...     top_left=(-180, 90),
...     bottom_right=(180, -90),
...     zoom=4)
[
    {'id': 0, 'count': 1, 'expansion_zoom': None, 'latitude': 48.8566, 'longitude': 2.3522},
    {'id': 3, 'count': 2, 'expansion_zoom': 8, 'latitude': 51.49500168658321, 'longitude': -0.06774999999998421}
]

Project details


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Source Distribution

pysupercluster-0.7.7.tar.gz (8.2 kB view hashes)

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