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How to add and subtract days using DateTime in Python?

Addition and Subtraction on TimeDelta objects using Pandas – Python

Last Updated : 29 Aug, 2020

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TimeDelta module is used to represent the time in the pandas module and can be used in various ways. Performing operations like addition and subtraction are very important for every language but performing these tasks on dates and time can be very valuable.

Operations on TimeDelta dataframe or series –

1) Addition –

df['Result'] = df['TimeDelta1'] + df['TimeDelta2']

2) Subtraction –

df['Result'] = df['TimeDelta1'] - df['TimeDelta2']

Return: Return the dataframe after operations is performed.

Example #1 :

In this example, we can see that by using various operations on date and time, we are able to get the addition and subtraction on the dataframe having TimeDelta object values.

Python3

# import pandas and numpy 
import pandas as pd 
import numpy as np 
  
# Perform addition operation 
a = pd.Series(pd.date_range('2020-8-10', periods=5, freq='D')) 
b = pd.Series([pd.Timedelta(days=i) for i in range(5)]) 
  
gfg = pd.DataFrame({'A': a, 'B': b}) 
gfg['Result'] = gfg['A'] + gfg['B'] 
  
print(gfg)

Output :

A B Result

0 2020-08-10 0 days 2020-08-10

1 2020-08-11 1 days 2020-08-12

2 2020-08-12 2 days 2020-08-14

3 2020-08-13 3 days 2020-08-16

4 2020-08-14 4 days 2020-08-18

Example #2 :

Python3

# import pandas and numpy 
import pandas as pd 
import numpy as np 
  
# Perform addition operation 
a = pd.Series(pd.date_range('2020-8-10', periods=4, freq='D')) 
b = pd.Series([pd.Timedelta(days=i) for i in range(4)]) 
  
gfg = pd.DataFrame({'A': a, 'B': b}) 
gfg['Result'] = gfg['A'] - gfg['B'] 
  
print(gfg)

Output :

A B Result

0 2020-08-10 0 days 2020-08-10

1 2020-08-11 1 days 2020-08-10

2 2020-08-12 2 days 2020-08-10

3 2020-08-13 3 days 2020-08-10

How to add and subtract days using DateTime in Python?

J

Jitender_1998

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Article Tags :

Python
Python pandas-datetime
Python-pandas

Practice Tags :

python

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