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- # Tests of support for Numpy ndarrays. See
- # https://github.com/sgillies/shapely/issues/26 for discussion.
- import unittest
- from functools import reduce
- import numpy as np
- from shapely import geometry
- class TransposeTestCase(unittest.TestCase):
- def test_multipoint(self):
- arr = np.array([[1.0, 1.0, 2.0, 2.0, 1.0], [3.0, 4.0, 4.0, 3.0, 3.0]])
- tarr = arr.T
- shape = geometry.MultiPoint(tarr)
- coords = reduce(lambda x, y: x + y, [list(g.coords) for g in shape.geoms])
- assert coords == [(1.0, 3.0), (1.0, 4.0), (2.0, 4.0), (2.0, 3.0), (1.0, 3.0)]
- def test_linestring(self):
- a = np.array([[1.0, 1.0, 2.0, 2.0, 1.0], [3.0, 4.0, 4.0, 3.0, 3.0]])
- t = a.T
- s = geometry.LineString(t)
- assert list(s.coords) == [
- (1.0, 3.0),
- (1.0, 4.0),
- (2.0, 4.0),
- (2.0, 3.0),
- (1.0, 3.0),
- ]
- def test_polygon(self):
- a = np.array([[1.0, 1.0, 2.0, 2.0, 1.0], [3.0, 4.0, 4.0, 3.0, 3.0]])
- t = a.T
- s = geometry.Polygon(t)
- assert list(s.exterior.coords) == [
- (1.0, 3.0),
- (1.0, 4.0),
- (2.0, 4.0),
- (2.0, 3.0),
- (1.0, 3.0),
- ]
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