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Optimize Poly3DCollection.get_vector for ndarray arguments #16680

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Optimize Poly3DCollection.get_vector for ndarray arguments #16680

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27 changes: 21 additions & 6 deletions lib/mpl_toolkits/mplot3d/art3d.py
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Original file line number Diff line number Diff line change
Expand Up @@ -578,13 +578,28 @@ def set_zsort(self, zsort):
def get_vector(self, segments3d):
"""Optimize points for projection."""
if len(segments3d):
xs, ys, zs = np.row_stack(segments3d).T
# row_stack would split and re-concatenate all rows, and so it's
# much faster to reshape if the data is already in the right format
if isinstance(segments3d, np.ndarray):
segments3d_t = segments3d.reshape(-1, segments3d.shape[-1]).T
else:
segments3d_t = np.row_stack(segments3d).T
ones = np.broadcast_to(np.ones((1,), dtype=segments3d_t.dtype),
shape=(1, segments3d_t.shape[-1],))
self._vec = np.concatenate((segments3d_t, ones), axis=0)
else: # row_stack can't stack zero arrays.
xs, ys, zs = [], [], []
ones = np.ones(len(xs))
self._vec = np.array([xs, ys, zs, ones])

indices = [0, *np.cumsum([len(segment) for segment in segments3d])]
self._vec = np.ndarray(shape=(0, 4))

# range is much faster than np.cumsum with a list argument, so we
# use it whenever the faces have a constant number of vertices.
if isinstance(segments3d, np.ndarray):
face_vertices = segments3d.shape[1]
segment_ends = range(face_vertices,
face_vertices * len(segments3d) + 1,
face_vertices)
else:
segment_ends = np.cumsum([len(segment) for segment in segments3d])
indices = [0, *segment_ends]
self._segslices = [*map(slice, indices[:-1], indices[1:])]

def set_verts(self, verts, closed=True):
Expand Down