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Backport PR #15903 on branch v3.2.x (Correctly handle non-affine transData in Collection.get_datalim.) #15915

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Merged
merged 1 commit into from
Dec 12, 2019
Merged

Backport PR #15903 on branch v3.2.x (Correctly handle non-affine transData in Collection.get_datalim.) #15915

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12 changes: 7 additions & 5 deletions lib/matplotlib/collections.py
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Original file line number Diff line number Diff line change
Expand Up @@ -209,10 +209,12 @@ def get_datalim(self, transData):

if not transform.is_affine:
paths = [transform.transform_path_non_affine(p) for p in paths]
transform = transform.get_affine()
# Don't convert transform to transform.get_affine() here because
# we may have transform.contains_branch(transData) but not
# transforms.get_affine().contains_branch(transData). But later,
# be careful to only apply the affine part that remains.
if not transOffset.is_affine:
offsets = transOffset.transform_non_affine(offsets)
transOffset = transOffset.get_affine()

if isinstance(offsets, np.ma.MaskedArray):
offsets = offsets.filled(np.nan)
Expand All @@ -225,8 +227,8 @@ def get_datalim(self, transData):
# offset. LineCollections that have no offsets can
# also use this algorithm (like streamplot).
result = mpath.get_path_collection_extents(
transform.frozen(), paths, self.get_transforms(),
offsets, transOffset.frozen())
transform.get_affine(), paths, self.get_transforms(),
offsets, transOffset.get_affine().frozen())
return result.inverse_transformed(transData)
if not self._offsetsNone:
# this is for collections that have their paths (shapes)
Expand All @@ -235,7 +237,7 @@ def get_datalim(self, transData):
# those shapes, so we just set the limits based on their
# location.
# Finish the transform:
offsets = (transOffset +
offsets = (transOffset.get_affine() +
transData.inverted()).transform(offsets)
offsets = np.ma.masked_invalid(offsets)
if not offsets.mask.all():
Expand Down