blosc2.any

blosc2.any(ndarr: NDArray | NDField | C2Array | LazyExpr, axis: int | tuple[int] | None = None, keepdims: bool = False, **kwargs: dict) → ndarray | NDArray | bool

Test whether any array element along a given axis evaluates to True.

The parameters are documented in the min.

Returns:

any_along_axis – The result of the evaluation along the axis.

Return type:

np.ndarray or NDArray or scalar

References

np.any

Examples

>>> import blosc2
>>> import numpy as np
>>> data = np.array([[1, 0, 0], [0, 1, 0], [0, 0, 0]])
>>> # Convert the NumPy array to a Blosc2 NDArray
>>> ndarray = blosc2.asarray(data)
>>> print("NDArray data:", ndarray[:])
NDArray data: [[1 0 0]
                [0 1 0]
                [0 0 0]]
>>> any_along_axis_0 = blosc2.any(ndarray, axis=0)
>>> print("Any along axis 0:", any_along_axis_0)
Any along axis 0: [True True False]
>>> any_flattened = blosc2.any(ndarray)
>>> print("Any in the flattened array:", any_flattened)
Any in the flattened array: True