diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
index 42891ce558c5..8e96209d733f 100644
--- a/lib/matplotlib/axes/_axes.py
+++ b/lib/matplotlib/axes/_axes.py
@@ -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):
diff --git a/lib/matplotlib/colors.py b/lib/matplotlib/colors.py
index f8a18443c9e0..3804a9bbfbe9 100644
--- a/lib/matplotlib/colors.py
+++ b/lib/matplotlib/colors.py
@@ -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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