- DatasetCoarsen.prod(keep_attrs=None, **kwargs)[source]#
Reduce this DatasetCoarsen’s data by applying prod along some dimension(s).
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).
None) – The required number of valid values to perform the operation. If fewer than min_count non-NA values are present the result will be NA. Only used if skipna is set to True or defaults to True for the array’s dtype. New in version 0.10.8: Added with the default being None. Changed in version 0.17.0: if specified on an integer array and skipna=True, the result will be a float array.
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.
dict) – Additional keyword arguments passed on to the appropriate array function for calculating prod on this object’s data.
DatasetCoarsen) – New DatasetCoarsen object with prod applied to its data and the indicated dimension(s) removed.