docstring groupby.apply initial commit

pandas/core/groupby.py

@@ -99,9 +99,11 @@
  func : function
  A callable that takes a {input} as its first argument, and
  returns a dataframe, a series or a scalar. In addition the
- callable may take positional and keyword arguments
- args, kwargs : tuple and dict
- Optional positional and keyword arguments to pass to ``func``
+ callable may take positional and keyword arguments.
+ args : tuple
+ Optional positional and keyword arguments to pass to ``func``.
+ kwargs : dict
+ Optional positional and keyword arguments to pass to ``func``.
 
  Returns
  -------
@@ -136,7 +138,7 @@
  its argument and returns a dataframe. ``apply`` combines the result for
  each group together into a new dataframe:
 
- >>> g.apply(lambda x: x / x.sum())
+ >>> g[['B','C']].apply(lambda x: x / x.sum()) 
  B C
  0 0.333333 0.4
  1 0.666667 0.6
@@ -146,7 +148,7 @@
  its argument and returns a series. ``apply`` combines the result for
  each group together into a new dataframe:
 
- >>> g.apply(lambda x: x.max() - x.min())
+ >>> g[['B','C']].apply(lambda x: x.max() - x.min()) 
  B C
  A
  a 1 2