mean of all the columns of a panda dataframe?
You could use particular columns if you need only columns with numbers:
In [90]: df[['A','C']].mean()Out[90]: A 2.7C 681.6dtype: float64
or to change type as @jezrael advice in comment:
df['C'] = df['C'].astype(float)
Probably df.mean
trying to convert all object to numeric and if it's fall then it's roll back and calculate only for actual numbers