scipp.nanmin#
- scipp.nanmin(x, dim=None)#
Minimum of elements in the input ignoring NaN’s.
Warning
Scipp returns DBL_MAX or INT_MAX 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:
- Returns:
TypeVar
(VariableLikeType
,Variable
,DataArray
,Dataset
,DataGroup
[Any
]) – The minimum of the input values.
See also
scipp.min
Element-wise minimum without special handling for NaN.
scipp.max
Element-wise maximum without special handling for NaN.
scipp.nanmax
Same as max but ignoring NaN’s.