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| from collections.abc import Sequence
| from typing import (
| Any,
| SupportsIndex,
| TypeAlias,
| )
| from typing import (
| Literal as L,
| )
|
| from numpy._typing import (
| ArrayLike,
| NDArray,
| )
|
| __all__ = ["histogram", "histogramdd", "histogram_bin_edges"]
|
| _BinKind: TypeAlias = L[
| "stone",
| "auto",
| "doane",
| "fd",
| "rice",
| "scott",
| "sqrt",
| "sturges",
| ]
|
| def histogram_bin_edges(
| a: ArrayLike,
| bins: _BinKind | SupportsIndex | ArrayLike = ...,
| range: tuple[float, float] | None = ...,
| weights: ArrayLike | None = ...,
| ) -> NDArray[Any]: ...
|
| def histogram(
| a: ArrayLike,
| bins: _BinKind | SupportsIndex | ArrayLike = 10,
| range: tuple[float, float] | None = None,
| density: bool | None = None,
| weights: ArrayLike | None = None,
| ) -> tuple[NDArray[Any], NDArray[Any]]: ...
|
| def histogramdd(
| sample: ArrayLike,
| bins: SupportsIndex | ArrayLike = 10,
| range: Sequence[tuple[float, float]] | None = None,
| density: bool | None = None,
| weights: ArrayLike | None = None,
| ) -> tuple[NDArray[Any], tuple[NDArray[Any], ...]]: ...
|
|
