我想合并 2 个不同顺序的文件:
我想在file1和file2下面合并:
文件 1:
col1 col2 col3
A001 B001 C001
A002 B002 C002
A003 B003 C003
A004 B004 C004
A005 B005 C005
A006 B006 C006
文件2:
col1 col2
A001 8
A002 2
A003 4
A004 1
A005 8
A006 3
B001 7
B002 4
B003 10
B004 11
B005 8
B006 3
C001 2
C002 9
C003 8
C004 1
C005 7
C006 6
得到以下内容:
col1 col2 col3 col4 col5 col6
A001 8 B001 7 C001 2
A002 2 B002 4 C002 9
A003 4 B003 10 C003 8
A004 1 B004 11 C004 1
A005 8 B005 8 C005 7
A006 3 B006 3 C006 6
我非常感谢你的帮助:)
最佳答案
我要做什么replace
df=pd.concat([file1,file1.replace(dict(zip(file2.col1,file2.col2))).add_suffix('_1')],axis=1).\
sort_index(axis=1)
col1 col1_1 col2 col2_1 col3 col3_1
0 A001 8 B001 7 C001 2
1 A002 2 B002 4 C002 9
2 A003 4 B003 10 C003 8
3 A004 1 B004 11 C004 1
4 A005 8 B005 8 C005 7
5 A006 3 B006 3 C006 6
关于python - 如何在 Pandas 中放置 2 个不同的数据框，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/58804292/