nanmax

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

Maximize 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 maximize. 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.max

Function without NaN skipping.

numpy.nanmax

Equivalent Numpy function.