pandas df par index de ligne
indices = [133, 22, 19, 203, 14, 1]
df_by_indices = df.iloc[indices, :]
russhopper
indices = [133, 22, 19, 203, 14, 1]
df_by_indices = df.iloc[indices, :]table = pd.pivot_table(df, values=['D', 'E'], index=['A', 'C'],
... aggfunc={'D': np.mean,
... 'E': [min, max, np.mean]})
>>> table
D E
mean max mean min
A C
bar large 5.500000 9.0 7.500000 6.0
small 5.500000 9.0 8.500000 8.0
foo large 2.000000 5.0 4.500000 4.0
small 2.333333 6.0 4.333333 2.0