blosc2.all#

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

Test whether all array elements along a given axis evaluate to True.

The parameters are documented in the min.

Returns:

all_along_axis – The result of the evaluation along the axis.

Return type:

np.ndarray or NDArray or scalar

References

np.all

Examples

>>> import numpy as np
>>> import blosc2
>>> data = np.array([True, True, False, True, True, True])
>>> ndarray = blosc2.asarray(data)
>>> # Test if all elements are True along the default axis (flattened array)
>>> result_flat = blosc2.all(ndarray)
>>> print("All elements are True (flattened):", result_flat)
All elements are True (flattened): False
On this page