Sunday, October 6, 2024
Google search engine
HomeLanguagesAdd Months to datetime Object in Python

Add Months to datetime Object in Python

In this article let’s learn how to add months to a datetime object in python. 

Example 1: Adding years to a datetime object using NumPy library.

In this example we use the NumPy library, to create a datetime object using the np.datetime64() method and then add months using timedelta using the np.timedelta64() method. A string of date format is passed in the np.datetime64() method and the required number of months is added using the np.timedelta64() method.

Python3




# import packages
import numpy as np
  
# adding months to a given date
print('old date is : ' + str(np.datetime64('2022-04')))
new_date = np.datetime64('2022-04') + np.timedelta64(5, 'M')
print('new date is : '+str(new_date))


Output:

old date is : 2022-04
new date is : 2022-09

Example 2: Adding years to a datetime object using relativedelta

In this example, we use datetime and dateutil packages. The current date is known by using the datetime.date() method is used to create a date object by specifying the year, month, and day, and by using the relativedelta() method we add the number of months, and finally, we get a new datetime object.

Python3




# import packages
from datetime import date
from dateutil.relativedelta import relativedelta
  
# adding months to a particular date
print('date : ' + str(date(2020, 5, 15)))
new_date = date(2020, 5, 15) + relativedelta(months=5)
print('new date is : '+str(new_date))


Output:

date : 2020-05-15
new date is : 2020-10-15

Example 3: Adding years to a datetime object using the panda’s library.

In this example, we import the pandas’ package. In pandas, a string is converted to a datetime object using the pd.to_datetime() method and pd.DateOffset() method is used to add months to the created pandas object. finally, a new datetime object is created.

Python3




# import packages
import pandas as pd
  
# adding months to a particular date
present = '2022-05-05'
print('date : ' + present)
new_date = pd.to_datetime(present)+pd.DateOffset(months=5)
print('new date is : '+str(new_date))


Output:

date : 2022-05-05
new date is : 2022-10-05 00:00:00

RELATED ARTICLES

Most Popular

Recent Comments