Append dataframes with different column names - Pandas

Question

I have 3 dataframes which can be generated from the code shown below

df1= pd.DataFrame({\'person_id\':[1,2,3],\'gender\': [\'Male\',\'Female\',\'Not disclose         


        

Answer 1

As per pandas documentation, you can do this creating a mapping:

df2.rename(columns={column1:'ethn', column2:'gen', column3:'pers_id'}, inplace=True)

Now, you clearly stated that you have to do this runtime. If you know that number of columns and their respective positions won't change, you can collect the actual column names with df2.columns(), that should output something like that:

['ethnicity', 'gender', 'person_id']

At this point, you can create the mapping as:

final_columns = ['ethn', 'gen', 'pers_id']
previous_columns = df2.columns()
mapping = {previous_columns[i]: final_columns[i] for i in range(3)}  # 3 is arbitrary.

And then just call

df2.rename(mapping, inplace=True)