Python dataframe：计算所有列的平均值/差异/总和/…

Question

I have a large DataFrame (ie thousands of rows and 20 columns) and I want to calculate the average (or any other mathmathical function like the total sum etc) over all columns. example:

x = [
 [0.5 0.7 0.1 4 80 101],
 [0.1 0.7 0.8 5 4 58],
 [0.4 0.1 0.6 6 1 66],
  ...
 [0.9 0.4 0.1 7 44 12]
]

This should result in

avg = [0.475 0.95 ...]

or

sum = [15.1 8.17 ...]

Is there any quick formula or oneliner that can easily apply this formula? It does not have to be a pandas.DataFrame, a Numpy array is also good

Answer 1

df.mean(axis=0)
df.sum(axis=0)