public min(axes as IList<Long>, keepDims as Boolean = false, ignoreNaN as Boolean = false, where as Boolean[] = null, result as NDArray<T> = null) as NDArray<T>
Extreme values over several axes, retaining exact integer comparisons.
| Parameter | Description |
|---|---|
axes | Distinct axes; negative axes count from the end. |
keepDims | Retain reduced dimensions with length one. |
ignoreNaN | Skip NaNs; otherwise retain the existing first-value ordering contract. |
where | Optional flat Boolean selection mask. |
result | Optional non-aliased output of the expected shape. |
Reduced T tensor.
values = data.min(axes=[0l, 2l])