基于行索引的不相交子帧分割

如何拆分数据帧

import pandas as pd
import numpy as np
np.random.seed(0)
df = pd.DataFrame({'first':np.random.rand(4),'second':np.random.rand(4)},index=['foo','bar','baz','bat'])
print(df)
        first    second
foo  0.548814  0.423655
bar  0.715189  0.645894
baz  0.602763  0.437587
bat  0.544883  0.891773

进入下面两个不相交的数据帧

        first    second
foo  0.548814  0.423655
bar  0.715189  0.645894

     first    second
baz  0.602763  0.437587
bat  0.544883  0.891773

使用第一个数据帧的索引?

我特别想找一种方法

subDf1,subDf2 = pd.split(df,['foo','bar'])

在哪里?

print(subDf1)
   first    second
foo  0.548814  0.423655
bar  0.715189  0.645894

和

print(subDf2 )
  first    second
baz  0.602763  0.437587
bat  0.544883  0.891773