删除重复行后在数据框中维护索引

Question

我从数据框中删除了重复项，因此索引已更改，如果我想访问 df['Color'][1]，它会显示错误，我该如何维护它？？

import pandas as pd

boxes = {'Color': ['Green','Green','Green','Blue','Blue','Red','Red','Red'],
         'Shape': ['Rectangle','Rectangle','Square','Rectangle','Square','Square','Square','Rectangle']
        }
df = pd.DataFrame(boxes, columns = ['Color', 'Shape'])

df = df.drop_duplicates()
print(df)

输出

   Color      Shape
0  Green  Rectangle
2  Green     Square
3   Blue  Rectangle
4   Blue     Square
5    Red     Square
7    Red  Rectangle

我多么想要

   Color      Shape
0  Green  Rectangle
1  Green     Square
2   Blue  Rectangle
3   Blue     Square
4    Red     Square
5    Red  Rectangle

Answer 1

使用ignore_index=True作为drop_duplicates的参数:

>>> df.drop_duplicates(ignore_index=True)
   Color      Shape
0  Green  Rectangle
1  Green     Square
2   Blue  Rectangle
3   Blue     Square
4    Red     Square
5    Red  Rectangle