[英]Python : Add a column into a dataframe with different length repeating the added column till fill the dataframe length
Hos I could a do this one:何我可以这样做:
Df1: DF1:
A![]() |
B![]() |
---|---|
01 ![]() |
AA ![]() |
02 ![]() |
AB ![]() |
03 ![]() |
AC![]() |
05 ![]() |
AD![]() |
Df2: DF2:
C ![]() |
---|
11 ![]() |
12 ![]() |
Dataframe looking for: Dataframe 寻找:
A![]() |
B![]() |
C ![]() |
---|---|---|
01 ![]() |
AA ![]() |
11 ![]() |
02 ![]() |
AB ![]() |
12 ![]() |
03 ![]() |
AC![]() |
11 ![]() |
05 ![]() |
AD![]() |
12 ![]() |
How could I reach this solution?我怎样才能达到这个解决方案?
You can do concat
:你可以做
concat
:
>>> pd.concat([df1,df2.append(df2).reset_index(drop=True)],axis=1)
A B C
0 1 AA 11.0
1 2 AB 12.0
2 3 AC 11.0
3 5 AD 12.0
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