Alter text in pandas column based on names

Question

Background

I have the following sample df

import pandas as pd
df = pd.DataFrame({\'Text\' : [\'Jon J Mmith is Here from         


        

Answer 1

One way:

>>> df['Text'].replace(df['P_Name'].str.split(', *').apply(lambda l: ' '.join(l[::-1])),'**BLOCK**',regex=True)
0           **BLOCK** is here from **BLOCK** until **BLOCK**
1                                 No P_Name found here
2                  **BLOCK** is also here until **BLOCK**
3    **BLOCK** was **BLOCK** **BLOCK** is not here but **...

You can use replace=True to do this in place, or create a new column with df['new_col']= the above. What this does is splits the P_name column, joins it in reverse with a space, and replaces it in your Text column.