Pandas how to apply multiple functions to dataframe

Question

Is there a way to apply a list of functions to each column in a DataFrame like the DataFrameGroupBy.agg function does? I found an ugly way to do it like this:

Answer 1

In the general case where you have arbitrary functions and column names, you could do this:

df.apply(lambda r: pd.Series({'mean': r.mean(), 'std': r.std()})).transpose()

         mean       std
one  5.366303  2.612738
two  4.858691  2.986567