What's the best way to sum all values in a Pandas dataframe?

Question

I figured out these two methods. Is there a better one?

>>> import pandas as pd >>> df = pd.DataFrame({'A': [5, 6, 7], 'B': [7, 8, 9]}) >>> print df.sum().sum() 42 >>> print df.values.sum() 42 

Just want to make sure I'm not missing something more obvious.

Answer 1

Updated for Pandas 0.24+

df.to_numpy().sum() 

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Prior to Pandas 0.24+

df.values 

Is the underlying numpy array

df.values.sum() 

Is the numpy sum method and is faster