- Variable.mean(dim=None, axis=None, skipna=None, **kwargs)[source]#
Reduce this Variable’s data by applying mean along some dimension(s).
stror sequence of
str, optional) – Dimension(s) over which to apply mean.
intor sequence of
int, optional) – Axis(es) over which to apply mean. Only one of the ‘dim’ and ‘axis’ arguments can be supplied. If neither are supplied, then mean is calculated over axes.
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).
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 mean on this object’s data.
Variable) – New Variable object with mean applied to its data and the indicated dimension(s) removed.