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Commit 83cb3ef

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Merge pull request #13695 from anntzer/transform_angles
numpydocify transform_angles.
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‎lib/matplotlib/transforms.py

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+19-21Lines changed: 19 additions & 21 deletions
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@@ -1518,28 +1518,26 @@ def transform_path_non_affine(self, path):
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def transform_angles(self, angles, pts, radians=False, pushoff=1e-5):
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"""
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Performs transformation on a set of angles anchored at
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specific locations.
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Transforms a set of angles anchored at specific locations.
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The *angles* must be a column vector (i.e., numpy array).
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The *pts* must be a two-column numpy array of x,y positions
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(angle transforms currently only work in 2D). This array must
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have the same number of rows as *angles*.
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*radians* indicates whether or not input angles are given in
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radians (True) or degrees (False; the default).
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*pushoff* is the distance to move away from *pts* for
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determining transformed angles (see discussion of method
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below).
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The transformed angles are returned in an array with the same
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size as *angles*.
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The generic version of this method uses a very generic
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algorithm that transforms *pts*, as well as locations very
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close to *pts*, to find the angle in the transformed system.
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Parameters
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----------
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angles : (N,) array-like
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The angles to transform.
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pts : (N, 2) array-like
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The points where the angles are anchored.
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radians : bool, default: False
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Whether *angles* are radians or degrees.
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pushoff : float
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For each point in *pts* and angle in *angles*, the transformed
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angle is computed by transforming a segment of length *pushoff*
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starting at that point and making that angle relative to the
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horizontal axis, and measuring the angle between the horizontal
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axis and the transformed segment.
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Returns
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-------
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transformed_angles : (N,) array
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"""
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# Must be 2D
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if self.input_dims != 2 or self.output_dims != 2:

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