blosc2.any#

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

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

Parameters:

  • ndarr (NDArray or NDField or C2Array or LazyExpr) – The input array or expression.

  • axis (int or tuple of ints, optional) – Axis or axes along which to operate. By default, flattened input is used.

  • keepdims (bool, optional) – If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the input array.

  • kwargs (dict, optional) – Keyword arguments that are supported by the empty() constructor.

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
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