Here is my problem, I have a dataframe like this :

    Depr_1  Depr_2  Depr_3
S3  0   5   9
S2  4   11  8
S1  6   11  12
S5  0   4   11
S4  4   8   8

and I just want to calculate the mean over the full dataframe, as the following doesn't work :

df.mean()

Then I came up with :

df.mean().mean()

But this trick won't work for computing the standard deviation. My final attempts were :

df.get_values().mean()
df.get_values().std()

Except that in the latter case, it uses mean() and std() function from numpy. It's not a problem for the mean, but it is for std, as the pandas function uses by default ddof=1, unlike the numpy one where ddof=0.