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
