Buckets:
| from collections.abc import Callable, Sequence | |
| import os | |
| import pathlib | |
| from typing import Any, BinaryIO, Literal | |
| import numpy as np | |
| from numpy.typing import ArrayLike, NDArray | |
| import PIL.Image | |
| from matplotlib.axes import Axes | |
| from matplotlib import colorizer | |
| from matplotlib.backend_bases import RendererBase, MouseEvent | |
| from matplotlib.colorizer import Colorizer | |
| from matplotlib.colors import Colormap, Normalize | |
| from matplotlib.figure import Figure | |
| from matplotlib.transforms import Affine2D, BboxBase, Bbox, Transform | |
| # | |
| # These names are re-exported from matplotlib._image. | |
| # | |
| BESSEL: int | |
| BICUBIC: int | |
| BILINEAR: int | |
| BLACKMAN: int | |
| CATROM: int | |
| GAUSSIAN: int | |
| HAMMING: int | |
| HANNING: int | |
| HERMITE: int | |
| KAISER: int | |
| LANCZOS: int | |
| MITCHELL: int | |
| NEAREST: int | |
| QUADRIC: int | |
| SINC: int | |
| SPLINE16: int | |
| SPLINE36: int | |
| def resample( | |
| input_array: NDArray[np.float32] | NDArray[np.float64] | NDArray[np.int8], | |
| output_array: NDArray[np.float32] | NDArray[np.float64] | NDArray[np.int8], | |
| transform: Transform, | |
| interpolation: int = ..., | |
| resample: bool = ..., | |
| alpha: float = ..., | |
| norm: bool = ..., | |
| radius: float = ..., | |
| ) -> None: ... | |
| # | |
| # END names re-exported from matplotlib._image. | |
| # | |
| interpolations_names: set[str] | |
| def composite_images( | |
| images: Sequence[_ImageBase], renderer: RendererBase, magnification: float = ... | |
| ) -> tuple[np.ndarray, float, float]: ... | |
| class _ImageBase(colorizer.ColorizingArtist): | |
| zorder: float | |
| origin: Literal["upper", "lower"] | |
| axes: Axes | |
| def __init__( | |
| self, | |
| ax: Axes, | |
| cmap: str | Colormap | None = ..., | |
| norm: str | Normalize | None = ..., | |
| colorizer: Colorizer | None = ..., | |
| interpolation: str | None = ..., | |
| origin: Literal["upper", "lower"] | None = ..., | |
| filternorm: bool = ..., | |
| filterrad: float = ..., | |
| resample: bool | None = ..., | |
| *, | |
| interpolation_stage: Literal["data", "rgba", "auto"] | None = ..., | |
| **kwargs | |
| ) -> None: ... | |
| def get_size(self) -> tuple[int, int]: ... | |
| def set_alpha(self, alpha: float | ArrayLike | None) -> None: ... | |
| def changed(self) -> None: ... | |
| def make_image( | |
| self, renderer: RendererBase, magnification: float = ..., unsampled: bool = ... | |
| ) -> tuple[np.ndarray, float, float, Affine2D]: ... | |
| def draw(self, renderer: RendererBase) -> None: ... | |
| def write_png(self, fname: str | pathlib.Path | BinaryIO) -> None: ... | |
| def set_data(self, A: ArrayLike | None) -> None: ... | |
| def set_array(self, A: ArrayLike | None) -> None: ... | |
| def get_shape(self) -> tuple[int, int, int]: ... | |
| def get_interpolation(self) -> str: ... | |
| def set_interpolation(self, s: str | None) -> None: ... | |
| def get_interpolation_stage(self) -> Literal["data", "rgba", "auto"]: ... | |
| def set_interpolation_stage(self, s: Literal["data", "rgba", "auto"]) -> None: ... | |
| def can_composite(self) -> bool: ... | |
| def set_resample(self, v: bool | None) -> None: ... | |
| def get_resample(self) -> bool: ... | |
| def set_filternorm(self, filternorm: bool) -> None: ... | |
| def get_filternorm(self) -> bool: ... | |
| def set_filterrad(self, filterrad: float) -> None: ... | |
| def get_filterrad(self) -> float: ... | |
| class AxesImage(_ImageBase): | |
| def __init__( | |
| self, | |
| ax: Axes, | |
| *, | |
| cmap: str | Colormap | None = ..., | |
| norm: str | Normalize | None = ..., | |
| colorizer: Colorizer | None = ..., | |
| interpolation: str | None = ..., | |
| origin: Literal["upper", "lower"] | None = ..., | |
| extent: tuple[float, float, float, float] | None = ..., | |
| filternorm: bool = ..., | |
| filterrad: float = ..., | |
| resample: bool = ..., | |
| interpolation_stage: Literal["data", "rgba", "auto"] | None = ..., | |
| **kwargs | |
| ) -> None: ... | |
| def get_window_extent(self, renderer: RendererBase | None = ...) -> Bbox: ... | |
| def make_image( | |
| self, renderer: RendererBase, magnification: float = ..., unsampled: bool = ... | |
| ) -> tuple[np.ndarray, float, float, Affine2D]: ... | |
| def set_extent( | |
| self, extent: tuple[float, float, float, float], **kwargs | |
| ) -> None: ... | |
| def get_extent(self) -> tuple[float, float, float, float]: ... | |
| def get_cursor_data(self, event: MouseEvent) -> None | float: ... | |
| class NonUniformImage(AxesImage): | |
| mouseover: bool | |
| def __init__( | |
| self, ax: Axes, *, interpolation: Literal["nearest", "bilinear"] = ..., **kwargs | |
| ) -> None: ... | |
| def set_data(self, x: ArrayLike, y: ArrayLike, A: ArrayLike) -> None: ... # type: ignore[override] | |
| # more limited interpolation available here than base class | |
| def set_interpolation(self, s: Literal["nearest", "bilinear"]) -> None: ... # type: ignore[override] | |
| class PcolorImage(AxesImage): | |
| def __init__( | |
| self, | |
| ax: Axes, | |
| x: ArrayLike | None = ..., | |
| y: ArrayLike | None = ..., | |
| A: ArrayLike | None = ..., | |
| *, | |
| cmap: str | Colormap | None = ..., | |
| norm: str | Normalize | None = ..., | |
| colorizer: Colorizer | None = ..., | |
| **kwargs | |
| ) -> None: ... | |
| def set_data(self, x: ArrayLike, y: ArrayLike, A: ArrayLike) -> None: ... # type: ignore[override] | |
| class FigureImage(_ImageBase): | |
| zorder: float | |
| figure: Figure | |
| ox: float | |
| oy: float | |
| magnification: float | |
| def __init__( | |
| self, | |
| fig: Figure, | |
| *, | |
| cmap: str | Colormap | None = ..., | |
| norm: str | Normalize | None = ..., | |
| colorizer: Colorizer | None = ..., | |
| offsetx: int = ..., | |
| offsety: int = ..., | |
| origin: Literal["upper", "lower"] | None = ..., | |
| **kwargs | |
| ) -> None: ... | |
| def get_extent(self) -> tuple[float, float, float, float]: ... | |
| class BboxImage(_ImageBase): | |
| bbox: BboxBase | |
| def __init__( | |
| self, | |
| bbox: BboxBase | Callable[[RendererBase | None], Bbox], | |
| *, | |
| cmap: str | Colormap | None = ..., | |
| norm: str | Normalize | None = ..., | |
| colorizer: Colorizer | None = ..., | |
| interpolation: str | None = ..., | |
| origin: Literal["upper", "lower"] | None = ..., | |
| filternorm: bool = ..., | |
| filterrad: float = ..., | |
| resample: bool = ..., | |
| **kwargs | |
| ) -> None: ... | |
| def get_window_extent(self, renderer: RendererBase | None = ...) -> Bbox: ... | |
| def imread( | |
| fname: str | pathlib.Path | BinaryIO, format: str | None = ... | |
| ) -> np.ndarray: ... | |
| def imsave( | |
| fname: str | os.PathLike | BinaryIO, | |
| arr: ArrayLike, | |
| vmin: float | None = ..., | |
| vmax: float | None = ..., | |
| cmap: str | Colormap | None = ..., | |
| format: str | None = ..., | |
| origin: Literal["upper", "lower"] | None = ..., | |
| dpi: float = ..., | |
| *, | |
| metadata: dict[str, str] | None = ..., | |
| pil_kwargs: dict[str, Any] | None = ... | |
| ) -> None: ... | |
| def pil_to_array(pilImage: PIL.Image.Image) -> np.ndarray: ... | |
| def thumbnail( | |
| infile: str | BinaryIO, | |
| thumbfile: str | BinaryIO, | |
| scale: float = ..., | |
| interpolation: str = ..., | |
| preview: bool = ..., | |
| ) -> Figure: ... | |
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