将列中的 CSV 字符串拆分(重新整形)为多行,每行一个元素

import pandas as pd

df = pd.DataFrame([{'var1': 'a,b,c', 'var2': 1, 'var3': 'XX'},
                   {'var1': 'd,e,f,x,y', 'var2': 2, 'var3': 'ZZ'}])

print(df)

reshaped = \
(df.set_index(df.columns.drop('var1',1).tolist())
   .var1.str.split(',', expand=True)
   .stack()
   .reset_index()
   .rename(columns={0:'var1'})
   .loc[:, df.columns]
)

print(reshaped)

输出:

        var1  var2 var3
0      a,b,c     1   XX
1  d,e,f,x,y     2   ZZ

  var1  var2 var3
0    a     1   XX
1    b     1   XX
2    c     1   XX
3    d     2   ZZ
4    e     2   ZZ
5    f     2   ZZ
6    x     2   ZZ
7    y     2   ZZ