scipp.min#
- scipp.min(x, dim=None)#
Minimum of elements in the input.
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.- Parameters:
x (
scipp.typing.VariableLike
) – Input data.dim (
Optional
[str
], default:None
) – Optional dimension along which to calculate the min. If not given, the min over all dimensions is calculated.
- Returns:
TypeVar
(VariableLikeType
,Variable
,DataArray
,Dataset
,DataGroup
[Any
]) – The minimum of the input values.
See also
scipp.max
Element-wise maximum.
scipp.nanmin
Same as min but ignoring NaN’s.
scipp.nanmax
Same as max but ignoring NaN’s.