How To Do A Groupby On An Empty Set Of Columns In Pandas?

I am hitting on a corner case in pandas. I am trying to use the agg fn but without doing a groupby. Say I want an aggregation on the entire dataframe, i.e. from pandas import * DF

Solution 1:

It's not so great either, but for this case, if you pass a function returning True at least it wouldn't require changing df:

>>>from pandas import *>>>df = DataFrame( np.random.randn(5,3), index = list( "ABCDE"), columns = list("abc") )>>>df.groupby(lambda x: True).agg({'a' : np.sum, 'b' : np.mean } )
             a         b
True  1.836649 -0.692655
>>>>>>df['total'] = 'total'>>>df.groupby(['total']).agg({'a' : np.sum, 'b' : np.mean } ) 
              a         b
total                    
total  1.836649 -0.692655

You could use various builtins instead of lambda x: True but they're less explicit and only work accidentally.

Solution 2:

Having an analogous DataFrame.aggregate method is a good idea. Creating an issue here:

https://github.com/pydata/pandas/issues/1623