在熊猫数据框的列中重新洗牌

Question

Panda dataframe

|   | col A |   
|---|-------|
| 0 | A     |   
| 1 | B     |  
| 2 | C     |

Expected output (After re-shuffling)

|   | col A |   
|---|-------|
| 0 | B     |   
| 1 | C     |  
| 2 | A     |

As shown, I do not want to reshuffle the (index,value) entire pair but want to reshuffle the values in the columns (after reshuffling values in colA will have new index)

Does any know how to do this?

Thanks in advance!

Answer 1

np.shuffle operates in place.

np.random.shuffle(df.colA)

will shuffle the array of values in colA
to check

df

  colA
0    C
1    E
2    A
3    F
4    D
5    B

Answer 2

Probably, the easiest way is to use np.random.permutation

>>> import pandas as pd, numpy as np
>>> df = pd.DataFrame({'colA':list('ABCDEF')})
>>> df
  colA
0    A
1    B
2    C
3    D
4    E
5    F

Then

>>> df['colA'] = np.random.permutation(df.colA)
>>> df
  colA
0    D
1    A
2    F
3    B
4    C
5    E
>>>