scipp.nanmax

scipp.nanmax(x, dim=None)

Maximum of elements in the input ignoring NaN’s.

Warning

Scipp returns DBL_MIN or INT_MIN for empty inputs of float or int dtype, respectively, while NumPy raises. Note that in the case of DataArray, inputs can also be “empty” if all elements contributing to an output element are masked. The same applies if all elements are NaN (or masked).

Parameters:

• x (scipp.typing.VariableLike) – Input data.

• dim (Union[str, Iterable[str], None], default: None) – Dimension(s) along which to calculate the max. If not given, the max over all dimensions is calculated.

Returns:

TypeVar(VariableLikeType, Variable, DataArray, Dataset, DataGroup[Any]) – The maximum of the input values.

See also

scipp.max

Element-wise maximum without special handling for NaN.

scipp.min

Element-wise minimum without special handling for NaN.

scipp.nanmin

Same as min but ignoring NaN’s.