blosc2.min#

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

Return the minimum along a given axis.

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:

min_along_axis – The minimum of the elements along the axis.

Return type:

np.ndarray or NDArray or scalar

References

np.min

Examples

>>> import numpy as np
>>> import blosc2
>>> array = np.array([1, 3, 7, 8, 9, 31])
>>> nd_array = blosc2.asarray(array)
>>> min_all = blosc2.min(nd_array)
>>> print("Minimum of all elements in the array:", min_all)
Minimum of all elements in the array: 1
>>> # Compute the minimum along axis 0 with keepdims=True
>>> min_keepdims = blosc2.min(nd_array, axis=0, keepdims=True)
>>> print("Minimum along axis 0 with keepdims=True:", min_keepdims)
Minimum along axis 0 with keepdims=True:  [1]
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