python - Return a pandas DataFrame when using pandas.DataFrame.mean -

the function pandas.dataframe.mean returns pandas.series. return dataframe same column names original dataframe. how 1 this?

import numpy np, pandas pd df = pd.dataframe(np.random.rand(10,5), columns = ['a', 'b', 'c', 'd', 'e'])

this returns pandas.series object

df.mean()

so this

df.mean(level = 0)

and this

df.mean(axis = 0)

the current way using following commands, easiest way it?!

means = df.mean(axis = 0) pd.dataframe(means).t

i hoping more straight-forward solution!

you using to_frame , transpose:

in [188]: df.mean().to_frame().t  out[188]:                   b         c        d         e 0  0.393221  0.441338  0.445528  0.67516  0.699105

To form