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, :]In [1]: df = pd.DataFrame(np.random.rand(5,2),index=range(0,10,2),columns=list('AB'))
In [2]: df
Out[2]:
A B
0 1.068932 -0.794307
2 -0.470056 1.192211
4 -0.284561 0.756029
6 1.037563 -0.267820
8 -0.538478 -0.800654
In [5]: df.iloc[[2]]
Out[5]:
A B
4 -0.284561 0.756029
In [6]: df.loc[[2]]
Out[6]:
A B
2 -0.470056 1.192211