loongson/pypi/: pygeos-0.12.0 metadata and description

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GEOS wrapped in numpy ufuncs

author Casper van der Wel
author_email caspervdw@gmail.com
classifiers
  • Programming Language :: Python :: 3
  • Intended Audience :: Science/Research
  • Intended Audience :: Developers
  • Development Status :: 4 - Beta
  • Topic :: Scientific/Engineering
  • Topic :: Software Development
  • Operating System :: Unix
  • Operating System :: MacOS
  • Operating System :: Microsoft :: Windows
license BSD 3-Clause
provides_extras docs
requires_dist
  • numpy (>=1.13)
  • sphinx ; extra == 'docs'
  • numpydoc ; extra == 'docs'
  • pytest ; extra == 'test'
requires_python >=3.6

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pygeos-0.12.0-cp37-cp37m-linux_loongarch64.whl
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Python
3.7
pygeos-0.12.0.tar.gz
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311 KB
Type
Source
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PyGEOS is a C/Python library with vectorized geometry functions. The geometry operations are done in the open-source geometry library GEOS. PyGEOS wraps these operations in NumPy ufuncs providing a performance improvement when operating on arrays of geometries.

Important note: PyGEOS was merged with Shapely (https://shapely.readthedocs.io) in December 2021 and will be released as part of Shapely 2.0. The development will take place at the Shapely repository. Please raise issues or create pull request over there. PyGEOS itself will receive updates (by backporting from the Shapely repository) until Shapely 2.0 is actually released.

What is a ufunc?

A universal function (or ufunc for short) is a function that operates on n-dimensional arrays in an element-by-element fashion, supporting array broadcasting. The for-loops that are involved are fully implemented in C diminishing the overhead of the Python interpreter.

Multithreading

PyGEOS functions support multithreading. More specifically, the Global Interpreter Lock (GIL) is released during function execution. Normally in Python, the GIL prevents multiple threads from computing at the same time. PyGEOS functions internally releases this constraint so that the heavy lifting done by GEOS can be done in parallel, from a single Python process.

Examples

Compare an grid of points with a polygon:

>>> geoms = points(*np.indices((4, 4)))
>>> polygon = box(0, 0, 2, 2)

>>> contains(polygon, geoms)

  array([[False, False, False, False],
         [False,  True, False, False],
         [False, False, False, False],
         [False, False, False, False]])

Compute the area of all possible intersections of two lists of polygons:

>>> from pygeos import box, area, intersection

>>> polygons_x = box(range(5), 0, range(10, 15), 10)
>>> polygons_y = box(0, range(5), 10, range(10, 15))

>>> area(intersection(polygons_x[:, np.newaxis], polygons_y[np.newaxis, :]))

array([[100.,  90.,  80.,  70.,  60.],
     [ 90.,  81.,  72.,  63.,  54.],
     [ 80.,  72.,  64.,  56.,  48.],
     [ 70.,  63.,  56.,  49.,  42.],
     [ 60.,  54.,  48.,  42.,  36.]])

See the documentation for more: https://pygeos.readthedocs.io