Pandas column bind (cbind) two data frames

Question

I\'ve got a dataframe df_a with id information:

    unique_id lacet_number 
15    5570613  TLA-0138365 
24    5025490  EMP-0138757 
36    435443         


        

Answer 1

If you're sure the index row values are the same then to avoid the index alignment order then just call reset_index(), this will reset your index values back to start from 0:

df_c = pd.concat([df_a.reset_index(drop=True), df_b], axis=1)