Convert the '10yrs 5mon' categorical value to months

Question

converting the column to numeric as pre-processing

Aging
\'10yrs 1mon\'
\'9yrs 8mon\'
\'25yrs 5mon\'

Expected:

\'10yrs 1mo         


        

Answer 1

Use Series.str.extract with casting to integers to new DataFrame and add new column by multiple 12 first and add second column:

import pandas as pd

df1 = df['Aging'].str.extract('(\d+)yrs\s+(\d+)mon').astype(int)
df['new'] = df1[0] * 12 + df1[1]
print (df)
          Aging  new
0  '10yrs 1mon'  121
1   '9yrs 8mon'  116
2  '25yrs 5mon'  305