I really need help with this one. My previous post was very bad and unclear - I'm sorry - I wish I could delete but hopefully this one will be better.

I need to calculate the age based off of a date (see ANALYZE section and FINAL OUTCOME SECTION).

ORIGINAL DATA SET

"JOLIE", 09091959,02051983
"PORTMAN",02111979,01272002
"MOORE", 01281975,01182009
"BEST", 04081973,07022008
"MONROE", 04161957,11231979

LOAD DATA

from pandas import DataFrame, read_csv
import matplotlib.pyplot as plt
import pandas as pdcolumns = ['lname','dob','scd_csr_mdy']raw_data = pd.read_csv(r'C:\Users\davidlopez\Desktop\Folders\Standard Reports\HR Reports\eeprofil  \eeprofil.txt',` names=columns, parse_dates = ['dob','scd_csr_mdy'})df1 = raw_dataIn [1]: df1
Out [1]:lname          dob          scd_csr_mdy0    JOLIE          09091959     020519831    PORTMAN        02111979     012720022    MOORE          01281975     011820093    BEST           04081973     070220084    MONROE         04161957     11231979

ANALYZE

I tried doing the following but received an error:

now = datetime.now()
df1['age'] = now - df1['dob']

But I received the the error:

TypeError:  unsported operant type(S) for -: 'datetime.datetime' and 'str'

FINAL OUTCOME

     lname          dob          scd_csr_mdy    DOB_AGE     SCD_AGE
0    JOLIE          09091959     02051983       55          32
1    PORTMAN        02111979     01272002       36          13
2    MOORE          01281975     01182009       40          6
3    BEST           04081973     07022008       42          6
4    MONROE         04161957     11231979       58          35

Any suggestions.....?

Convert the dob column from string to a datetime object

df1['dob'] = pd.to_datetime(df1['dob'])
now = datetime.now()    
df1['age'] = now - df1['dob']