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Move empty hexbin fix to make_norm_from_scale. by anntzer · Pull Request #24259 · matplotlib/matplotlib · GitHub

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Move empty hexbin fix to make_norm_from_scale. #24259

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Merged
QuLogic merged 1 commit into from
Oct 31, 2022
Conversation 4 Commits 1 Checks 0 Files changed
Merged

Move empty hexbin fix to make_norm_from_scale. #24259

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4 changes: 1 addition & 3 deletions lib/matplotlib/axes/_axes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4993,9 +4993,7 @@ def reduce_C_function(C: array) -> float
# autoscale the norm with current accum values if it hasn't been set
if norm is not None:
if norm.vmin is None and norm.vmax is None:
norm.autoscale_None(accum)
norm.vmin = np.ma.masked if norm.vmin is None else norm.vmin
norm.vmax = np.ma.masked if norm.vmax is None else norm.vmax
norm.autoscale(accum)

if bins is not None:
if not np.iterable(bins):
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4 changes: 4 additions & 0 deletions lib/matplotlib/colors.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1718,10 +1718,14 @@ def inverse(self, value):
def autoscale(self, A):
# i.e. A[np.isfinite(...)], but also for non-array A's
in_trf_domain = np.extract(np.isfinite(self._trf.transform(A)), A)
if in_trf_domain.size == 0:
in_trf_domain = np.ma.masked
return super().autoscale(in_trf_domain)

def autoscale_None(self, A):
in_trf_domain = np.extract(np.isfinite(self._trf.transform(A)), A)
if in_trf_domain.size == 0:
in_trf_domain = np.ma.masked
return super().autoscale_None(in_trf_domain)

if base_norm_cls is Normalize:
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