parameters: (self, arg, *args, **kwargs)
return_statement: return self._selected_obj.groupby(self.groupby).transform(
              arg, *args, **kwargs)
docstring: Call function producing a like-indexed Series on each group and return
          a Series with the transformed values.
  
          Parameters
          ----------
          func : function
              To apply to each group. Should return a Series with the same index
  
          Returns
          -------
          transformed : Series
  
          Examples
          --------
          >>> resampled.transform(lambda x: (x - x.mean()) / x.std())
docstring_summary: Call function producing a like-indexed Series on each group and return
          a Series with the transformed values.
docstring_tokens: Call function producing a like - indexed Series on each group and return a Series with the transformed values .
function: def transform(self, arg, *args, **kwargs):
          """
          Call function producing a like-indexed Series on each group and return
          a Series with the transformed values.
  
          Parameters
          ----------
          func : function
              To apply to each group. Should return a Series with the same index
  
          Returns
          -------
          transformed : Series
  
          Examples
          --------
          >>> resampled.transform(lambda x: (x - x.mean()) / x.std())
          """
          return self._selected_obj.groupby(self.groupby).transform(
              arg, *args, **kwargs)
function_tokens: def transform ( self , arg , * args , * * kwargs ) : return self . _selected_obj . groupby ( self . groupby ) . transform ( arg , * args , * * kwargs )