blosc2.min#

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