diff --git a/lib/matplotlib/colors.py b/lib/matplotlib/colors.py index d925230584ca..b348560d1775 100644 --- a/lib/matplotlib/colors.py +++ b/lib/matplotlib/colors.py @@ -2095,9 +2095,13 @@ class NoNorm(Normalize): indices directly in a `~matplotlib.cm.ScalarMappable`. """ def __call__(self, value, clip=None): + if np.iterable(value): + return np.ma.array(value) return value def inverse(self, value): + if np.iterable(value): + return np.ma.array(value) return value diff --git a/lib/matplotlib/colors.pyi b/lib/matplotlib/colors.pyi index e222077cda14..758890bda2f8 100644 --- a/lib/matplotlib/colors.pyi +++ b/lib/matplotlib/colors.pyi @@ -146,7 +146,17 @@ class Normalize: def clip(self, value: bool) -> None: ... @staticmethod def process_value(value: ArrayLike) -> tuple[np.ma.MaskedArray, bool]: ... + @overload + def __call__(self, value: float, clip: bool | None = ...) -> float: ... + @overload + def __call__(self, value: np.ndarray, clip: bool | None = ...) -> np.ma.MaskedArray: ... + @overload def __call__(self, value: ArrayLike, clip: bool | None = ...) -> ArrayLike: ... + @overload + def inverse(self, value: float) -> float: ... + @overload + def inverse(self, value: np.ndarray) -> np.ma.MaskedArray: ... + @overload def inverse(self, value: ArrayLike) -> ArrayLike: ... def autoscale(self, A: ArrayLike) -> None: ... def autoscale_None(self, A: ArrayLike) -> None: ... @@ -161,8 +171,6 @@ 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 inverse(self, value: ArrayLike) -> ArrayLike: ... class CenteredNorm(Normalize): def __init__( @@ -240,8 +248,6 @@ class PowerNorm(Normalize): vmax: float | None = ..., clip: bool = ..., ) -> None: ... - def __call__(self, value: ArrayLike, clip: bool | None = ...) -> ArrayLike: ... - def inverse(self, value: ArrayLike) -> ArrayLike: ... class BoundaryNorm(Normalize): boundaries: np.ndarray @@ -256,12 +262,8 @@ class BoundaryNorm(Normalize): *, extend: Literal["neither", "both", "min", "max"] = ... ) -> None: ... - def __call__(self, value: ArrayLike, clip: bool | None = ...) -> ArrayLike: ... - def inverse(self, value: ArrayLike) -> ArrayLike: ... -class NoNorm(Normalize): - def __call__(self, value: ArrayLike, clip: bool | None = ...) -> ArrayLike: ... - def inverse(self, value: ArrayLike) -> ArrayLike: ... +class NoNorm(Normalize): ... def rgb_to_hsv(arr: ArrayLike) -> np.ndarray: ... def hsv_to_rgb(hsv: ArrayLike) -> np.ndarray: ... pFad - Phonifier reborn

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