diff --git a/lib/matplotlib/colors.py b/lib/matplotlib/colors.py
index 5441b0d617b5..16e13e69d53f 100644
--- a/lib/matplotlib/colors.py
+++ b/lib/matplotlib/colors.py
@@ -1302,9 +1302,8 @@ def process_value(value):
             dtype = np.promote_types(dtype, np.float32)
         # ensure data passed in as an ndarray subclass are interpreted as
         # an ndarray. See issue #6622.
-        mask = np.ma.getmask(value)
-        data = np.asarray(value)
-        result = np.ma.array(data, mask=mask, dtype=dtype, copy=True)
+        result = np.ma.array(np.asarray(value), mask=np.ma.getmaskarray(value),
+                             dtype=dtype, copy=True)
         return result, is_scalar
 
     def __call__(self, value, clip=None):
@@ -1341,9 +1340,8 @@ def __call__(self, value, clip=None):
             raise ValueError("minvalue must be less than or equal to maxvalue")
         else:
             if clip:
-                mask = np.ma.getmask(result)
                 result = np.ma.array(np.clip(result.filled(vmax), vmin, vmax),
-                                     mask=mask)
+                                     mask=np.ma.getmaskarray(result))
             # ma division is very slow; we can take a shortcut
             resdat = result.data
             resdat -= vmin
@@ -1459,7 +1457,7 @@ def __call__(self, value, clip=None):
         result = np.ma.masked_array(
             np.interp(result, [self.vmin, self.vcenter, self.vmax],
                       [0, 0.5, 1], left=-np.inf, right=np.inf),
-            mask=np.ma.getmask(result))
+            mask=np.ma.getmaskarray(result))
         if is_scalar:
             result = np.atleast_1d(result)[0]
         return result
@@ -1873,9 +1871,8 @@ def __call__(self, value, clip=None):
             result.fill(0)
         else:
             if clip:
-                mask = np.ma.getmask(result)
                 result = np.ma.array(np.clip(result.filled(vmax), vmin, vmax),
-                                     mask=mask)
+                                     mask=np.ma.getmaskarray(result))
             resdat = result.data
             resdat -= vmin
             resdat[resdat < 0] = 0
diff --git a/lib/matplotlib/transforms.py b/lib/matplotlib/transforms.py
index 1471d4fe672d..62d460a9833c 100644
--- a/lib/matplotlib/transforms.py
+++ b/lib/matplotlib/transforms.py
@@ -1849,7 +1849,7 @@ def transform_affine(self, points):
         mtx = self.get_matrix()
         if isinstance(points, np.ma.MaskedArray):
             tpoints = affine_transform(points.data, mtx)
-            return np.ma.MaskedArray(tpoints, mask=np.ma.getmask(points))
+            return np.ma.MaskedArray(tpoints, mask=np.ma.getmaskarray(points))
         return affine_transform(points, mtx)
 
     if DEBUG: