matplotlib
diff --git a/‎lib/matplotlib/colors.pyi
Copy file name to clipboardExpand all lines: lib/matplotlib/colors.pyi
+5-5Lines changed: 5 additions & 5 deletions b/‎lib/matplotlib/colors.pyi
Copy file name to clipboardExpand all lines: lib/matplotlib/colors.pyi
+5-5Lines changed: 5 additions & 5 deletions
@@ -146,7 +146,7 @@ class Normalize:
     def clip(self, value: bool) -> None: ...
     @staticmethod
     def process_value(value: ArrayLike) -> tuple[np.ma.MaskedArray, bool]: ...
-    def __call__(self, value: ArrayLike, clip: bool | None = ...) -> ArrayLike: ...
+    def __call__(self, value: ArrayLike, clip: bool | None = ...) -> np.ma.MaskedArray: ...
     def inverse(self, value: ArrayLike) -> ArrayLike: ...
     def autoscale(self, A: ArrayLike) -> None: ...
     def autoscale_None(self, A: ArrayLike) -> None: ...
@@ -161,7 +161,7 @@ class TwoSlopeNorm(Normalize):
     @vcenter.setter
     def vcenter(self, value: float) -> None: ...
     def autoscale_None(self, A: ArrayLike) -> None: ...
-    def __call__(self, value: ArrayLike, clip: bool | None = ...) -> ArrayLike: ...
+    def __call__(self, value: ArrayLike, clip: bool | None = ...) -> np.ma.MaskedArray: ...
     def inverse(self, value: ArrayLike) -> ArrayLike: ...
 
 class CenteredNorm(Normalize):
@@ -240,7 +240,7 @@ class PowerNorm(Normalize):
         vmax: float | None = ...,
         clip: bool = ...,
     ) -> None: ...
-    def __call__(self, value: ArrayLike, clip: bool | None = ...) -> ArrayLike: ...
+    def __call__(self, value: ArrayLike, clip: bool | None = ...) -> np.ma.MaskedArray: ...
     def inverse(self, value: ArrayLike) -> ArrayLike: ...
 
 class BoundaryNorm(Normalize):
@@ -256,11 +256,11 @@ class BoundaryNorm(Normalize):
         *,
         extend: Literal["neither", "both", "min", "max"] = ...
     ) -> None: ...
-    def __call__(self, value: ArrayLike, clip: bool | None = ...) -> ArrayLike: ...
+    def __call__(self, value: ArrayLike, clip: bool | None = ...) -> np.ma.MaskedArray: ...
     def inverse(self, value: ArrayLike) -> ArrayLike: ...
 
 class NoNorm(Normalize):
-    def __call__(self, value: ArrayLike, clip: bool | None = ...) -> ArrayLike: ...
+    def __call__(self, value: ArrayLike, clip: bool | None = ...) -> np.ma.MaskedArray: ...
     def inverse(self, value: ArrayLike) -> ArrayLike: ...
 
 def rgb_to_hsv(arr: ArrayLike) -> np.ndarray: ...