nanmin

sparse.nanmin(x, axis=None, keepdims=False, dtype=None, out=None)[source]

Minimize along the given axes, skipping NaN values. Uses all axes by default.

Parameters:
  • 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.
Returns:

The reduced output sparse array.

Return type:

COO

See also

COO.min
Function without NaN skipping.
numpy.nanmin()
Equivalent Numpy function.