diff --git a/lib/matplotlib/ticker.py b/lib/matplotlib/ticker.py
index fda85782689a..d11c8fd3b6df 100644
--- a/lib/matplotlib/ticker.py
+++ b/lib/matplotlib/ticker.py
@@ -623,7 +623,7 @@ def set_powerlimits(self, lims):
 
     def format_data_short(self, value):
         # docstring inherited
-        if isinstance(value, np.ma.MaskedArray) and value.mask:
+        if value is np.ma.masked:
             return ""
         if isinstance(value, Integral):
             fmt = "%d"
diff --git a/lib/matplotlib/transforms.py b/lib/matplotlib/transforms.py
index 78ce365c8a7b..59891ebea806 100644
--- a/lib/matplotlib/transforms.py
+++ b/lib/matplotlib/transforms.py
@@ -1854,7 +1854,7 @@ def transform_affine(self, points):
             # The major speed trap here is just converting to the
             # points to an array in the first place.  If we can use
             # more arrays upstream, that should help here.
-            if not isinstance(points, (np.ma.MaskedArray, np.ndarray)):
+            if not isinstance(points, np.ndarray):
                 _api.warn_external(
                     f'A non-numpy array of type {type(points)} was passed in '
                     f'for transformation, which results in poor performance.')