pyvista.core._validation.check.check_ndim

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pyvista.core._validation.check.check_ndim#

check_ndim(
array: _ArrayLikeOrScalar[NumberType],
/,
ndim: int | VectorLike[int],
*,
name: str = 'Array',
) → None[ソース]#

配列が指定された次元数を持つかどうかをチェックします．

注釈

Scalar values have a dimension of 0.

パラメータ:
arrayfloat | ArrayLike[float]

Number or array to check.

ndimint | Sequence[int], optional

A single dimension or a sequence of allowable dimensions. If an integer, the array must have this number of dimension(s). If a sequence, the array must have at least one of the specified number of dimensions.

namestr, default: "Array"

エラーメッセージが発生した場合に使用する変数名．

エラー処理:
ValueError

If the array does not have the required number of dimensions.

参考

check_length
check_shape

例

Check if an array is one-dimensional

>>> import numpy as np
>>> from pyvista import _validation
>>> _validation.check_ndim([1, 2, 3], ndim=1)

Check if an array is two-dimensional or a scalar.

>>> _validation.check_ndim(1, ndim=(0, 2))
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