Pandas get the age from a date (example: date of birth)

Question

How can I calculate the age of a person (based off the dob column) and add a column to the dataframe with the new value?

dataframe looks like the following:

Answer 1

I found easier solution:

    import pandas as pd
    from datetime import datetime
    from datetime import date

    d = {'col0': [1, 2, 6], 
         'col1': [3, 8, 3], 
         'col2': ['17.02.1979', '11.11.1993', '01.08.1961']}

    df = pd.DataFrame(data=d)

    def calculate_age(born):
        born = datetime.strptime(born, "%d.%m.%Y").date()
        today = date.today()
        return today.year - born.year - ((today.month, today.day) < (born.month, born.day))

    df['age'] = df['col6'].apply(calculate_age)
    print(df)

output:

     col0  col1  col3        age
0       1     3  17.02.1979   39
1       2     8  11.11.1993   24
2       6     3  01.08.1961   57