Pandas: apply different functions to different columns

Question

When using df.mean() I get a result where the mean for each column is given. Now let\'s say I want the mean of the first column, and the sum of the second. Is t

Answer 1

I think you can use the agg method with a dictionary as the argument. For example:

df = pd.DataFrame({'A': [0, 1, 2], 'B': [3, 4, 5]})

df =
A   B
0   0   3
1   1   4
2   2   5

df.agg({'A': 'mean', 'B': sum})

A     1.0
B    12.0
dtype: float64