blosc2.max

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

Return the maximum along a given axis.

The parameters are documented in the min.

Returns:

max_along_axis – The maximum of the elements along the axis.

Return type:

np.ndarray or NDArray or scalar

References

np.max

Examples

>>> import blosc2
>>> import numpy as np
>>> data = np.array([[11, 2, 36, 24, 5, 69], [73, 81, 49, 6, 73, 0]])
>>> ndarray = blosc2.asarray(data)
>>> print("NDArray data:", ndarray[:])
NDArray data:  [[11  2 36 24  5 69]
                [73 81 49  6 73  0]]
>>> # Compute the maximum along axis 0 and 1
>>> max_along_axis_0 = blosc2.max(ndarray, axis=0)
>>> print("Maximum along axis 0:", max_along_axis_0)
Maximum along axis 0: [73 81 49 24 73 69]
>>> max_along_axis_1 = blosc2.max(ndarray, axis=1)
>>> print("Maximum along axis 1:", max_along_axis_1)
Maximum along axis 1: [69 81]
>>> max_flattened = blosc2.max(ndarray)
>>> print("Maximum of the flattened array:", max_flattened)
Maximum of the flattened array: 81