- Dataset.argmin(dim=None, **kwargs)#
Indices of the minima of the member variables.
If there are multiple minima, the indices of the first one found will be returned.
Hashable, optional) – The dimension over which to find the minimum. By default, finds minimum over all dimensions - for now returning an int for backward compatibility, but this is deprecated, in future will be an error, since DataArray.argmin will return a dict with indices for all dimensions, which does not make sense for a Dataset.
bool, optional) – If True, the attributes (attrs) will be copied from the original object to the new one. If False (default), the new object will be returned without attributes.
bool, optional) – If True, skip missing values (as marked by NaN). By default, only skips missing values for float dtypes; other dtypes either do not have a sentinel missing value (int) or skipna=True has not been implemented (object, datetime64 or timedelta64).