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