To check whether the DateOff set value has been normalized or not, use the offset.normalize property in Pandas.
At first, import the required libraries −
from pandas.tseries.offsets import DateOffset import pandas as pd
Set the timestamp object in Pandas −
timestamp = pd.Timestamp('2021-09-26 03:25:02.000045')
Create the DateOffset. Incrementing the months here using the "months" parameter. We have normalized the DateOffset using the "normalize" parameter −
offset = pd.tseries.offsets.DateOffset(months=4, normalize=True)
Display the Updated Timestamp −
print("\nUpdated Timestamp...\n",timestamp + offset)
Check whether the DateOffset is normalized or not −
print("\nThe DateOffset is normalized..\n", offset.normalize)
Example
Following is the code −
from pandas.tseries.offsets import DateOffset import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-09-26 03:25:02.000045') # Display the Timestamp print("Timestamp...\n",timestamp) # Create the DateOffset # Incrementing the months here using the "months" parameter # We have normalized the DateOffset using the "normalize" parameter offset = pd.tseries.offsets.DateOffset(months=4, normalize=True) # Display the DateOffset print("\nDateOffset...\n",offset) # Display the Updated Timestamp print("\nUpdated Timestamp...\n",timestamp + offset) # check whether the DateOffset is normalized or not print("\nThe DateOffset is normalized..\n", offset.normalize)
Output
This will produce the following code −
Timestamp... 2021-09-26 03:25:02.000045 DateOffset... <DateOffset: months=4> Updated Timestamp... 2022-01-26 00:00:00 The DateOffset is normalized.. True