pandas.core.groupby.GroupBy.pipe

GroupBy.pipe(func, *args, **kwargs) [source]

Apply a function with arguments to this GroupBy object,

New in version 0.21.0.

Parameters:	func : callable or tuple of (callable, string) Function to apply to this GroupBy object or, alternatively, a (callable, data_keyword) tuple where data_keyword is a string indicating the keyword of callable that expects the GroupBy object. args : iterable, optional positional arguments passed into func. kwargs : dict, optional a dictionary of keyword arguments passed into func.
Returns:	object : the return type of func.

See also

pandas.Series.pipe

Apply a function with arguments to a series

pandas.DataFrame.pipe

Apply a function with arguments to a dataframe

apply

Apply function to each group instead of to the full GroupBy object.

Notes

Use .pipe when chaining together functions that expect Series, DataFrames or GroupBy objects. Instead of writing

>>> f(g(h(df.groupby('group')), arg1=a), arg2=b, arg3=c)

You can write

>>> (df
...    .groupby('group')
...    .pipe(f, arg1)
...    .pipe(g, arg2)
...    .pipe(h, arg3))

See more here