DatasetCoarsen.max(keep_attrs=None, **kwargs)[source]#

Reduce this DatasetCoarsen’s data by applying max along some dimension(s).

  • 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 the appropriate array function for calculating max on this object’s data.


reduced (DatasetCoarsen) – New DatasetCoarsen object with max applied to its data and the indicated dimension(s) removed.