Dataset.std(dim=None, keep_attrs=False, skipna=None, **kwargs)

Reduce this Dataset’s data by applying std along some dimension(s).


dim : str or sequence of str, optional

Dimension(s) over which to apply std. By default std is applied over all dimensions.

skipna : 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).

keep_attrs : 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.

**kwargs : dict

Additional keyword arguments passed on to std.


reduced : Dataset

New Dataset object with std applied to its data and the indicated dimension(s) removed.