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

You can try a closure:

def multi_func(functions):
    def f(col):
        return functions[col.name](col)
    return f

df = pd.DataFrame(np.random.random((10, 2)), columns=['A', 'B'])
result = df.apply(multi_func({'A': np.mean, 'B': np.sum}))