https://github.com/wemap/pysupercluster

A fast geospatial point clustering module
https://github.com/wemap/pysupercluster

Last synced: about 2 months ago
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A fast geospatial point clustering module

• Host: GitHub
• URL: https://github.com/wemap/pysupercluster
• Owner: wemap
• License: isc
• Created: 2016-10-02T16:07:02.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2023-12-11T18:40:29.000Z (10 months ago)
• Last Synced: 2024-07-07T16:13:10.833Z (3 months ago)
• Language: C++
• Homepage:
• Size: 36.1 KB
• Stars: 36
• Watchers: 8
• Forks: 10
• Open Issues: 5
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE.txt

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README

        
pysupercluster

==============

|tests|

.. |tests| image:: https://github.com/wemap/pysupercluster/workflows/tests/badge.svg

    :target: https://github.com/wemap/pysupercluster/actions

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

--------------------

.. code-block:: pycon

    >>> 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}

    ]