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__init__.py
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__init__.pyi
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__pycache__
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_datasource.py
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_iotools.py
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_version.py
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_version.pyi
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arraypad.py
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arraypad.pyi
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arraysetops.py
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arraysetops.pyi
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arrayterator.py
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arrayterator.pyi
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format.py
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format.pyi
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function_base.py
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function_base.pyi
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histograms.py
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histograms.pyi
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index_tricks.py
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index_tricks.pyi
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mixins.py
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mixins.pyi
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nanfunctions.py
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nanfunctions.pyi
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npyio.py
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npyio.pyi
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polynomial.py
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polynomial.pyi
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recfunctions.py
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scimath.py
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scimath.pyi
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setup.py
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shape_base.py
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shape_base.pyi
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stride_tricks.py
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stride_tricks.pyi
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tests
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twodim_base.py
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twodim_base.pyi
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type_check.py
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type_check.pyi
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ufunclike.py
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ufunclike.pyi
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user_array.py
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utils.py
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utils.pyi
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Editing: histograms.pyi
from collections.abc import Sequence from typing import ( Literal as L, Any, SupportsIndex, ) from numpy._typing import ( NDArray, ArrayLike, ) _BinKind = L[ "stone", "auto", "doane", "fd", "rice", "scott", "sqrt", "sturges", ] __all__: list[str] def histogram_bin_edges( a: ArrayLike, bins: _BinKind | SupportsIndex | ArrayLike = ..., range: None | tuple[float, float] = ..., weights: None | ArrayLike = ..., ) -> NDArray[Any]: ... def histogram( a: ArrayLike, bins: _BinKind | SupportsIndex | ArrayLike = ..., range: None | tuple[float, float] = ..., density: bool = ..., weights: None | ArrayLike = ..., ) -> tuple[NDArray[Any], NDArray[Any]]: ... def histogramdd( sample: ArrayLike, bins: SupportsIndex | ArrayLike = ..., range: Sequence[tuple[float, float]] = ..., density: None | bool = ..., weights: None | ArrayLike = ..., ) -> tuple[NDArray[Any], list[NDArray[Any]]]: ...
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