- sparse.nanmin(x, axis=None, keepdims=False, dtype=None, out=None)[source]
Minimize along the given axes, skipping
NaNvalues. Uses all axes by default.
x (SparseArray) – The array to perform the reduction on.
axis (Union[int, Iterable[int]], optional) – The axes along which to minimize. Uses all axes by default.
keepdims (bool, optional) – Whether or not to keep the dimensions of the original array.
dtype (numpy.dtype) – The data type of the output array.
The reduced output sparse array.
- Return type:
Equivalent Numpy function.