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  • shapely. Polygon — Shapely 2. 1. 2 documentation
    shapely Polygon # class Polygon(shell=None, holes=None) # A geometry type representing an area that is enclosed by a linear ring A polygon is a two-dimensional feature and has a non-zero area It may have one or more negative-space “holes” which are also bounded by linear rings If any rings cross each other, the feature is invalid and operations on it may fail Parameters: shellsequence
  • shapely. simplify — Shapely 2. 1. 2 documentation
    Deprecated since version 2 1 0: A deprecation warning is shown if preserve_topology is specified as a positional argument This will need to be specified as a keyword argument in a future release
  • shapely. buffer — Shapely 2. 1. 2 documentation - Read the Docs
    Deprecated since version 2 1 0: A deprecation warning is shown if quad_segs, cap_style, join_style, mitre_limit or single_sided are specified as positional arguments In a future release, these will need to be specified as keyword arguments
  • shapely. MultiPolygon — Shapely 2. 1. 2 documentation
    shapely MultiPolygon # class MultiPolygon(polygons=None) # A collection of one or more Polygons If component polygons overlap the collection is invalid and some operations on it may fail Parameters: polygonssequence A sequence of Polygons, or a sequence of (shell, holes) tuples where shell is the sequence representation of a linear ring (see LinearRing) and holes is a sequence of such linear
  • shapely. within — Shapely 2. 1. 2 documentation - Read the Docs
    shapely within # within(a, b, **kwargs) # Return True if geometry A is completely inside geometry B A is within B if no points of A lie in the exterior of B and at least one point of the interior of A lies in the interior of B Parameters: a, bGeometry or array_like Geometry or geometries to check **kwargs See NumPy ufunc docs for other keyword arguments
  • shapely. intersection — Shapely 2. 1. 2 documentation
    shapely intersection # intersection(a, b, grid_size=None, **kwargs) # Return the geometry that is shared between input geometries If grid_size is nonzero, input coordinates will be snapped to a precision grid of that size and resulting coordinates will be snapped to that same grid If 0, this operation will use double precision coordinates


















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