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 (Union[str, Iterable[str], None], default: None) – Dimension(s) 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.