To return the count of increments applied on the CustomBusinessDay offset, use the CustomBusinessDay.n property in Pandas.
At first, import the required libraries −
import pandas as pd
Set the timestamp object in Pandas −
timestamp = pd.Timestamp('2021-10-22 03:10:35')
Create the CustomBusinessDay Offset −
cbdOffset = pd.tseries.offsets.CustomBusinessDay(n = 4, weekmask = 'Mon Tue Wed Fri')
Add the offset to the Timestamp and display the Updated Timestamp −
print("\nUpdated Timestamp...\n",timestamp + cbdOffset)
Return the count of increments on the given CustomBusinessDay object −
print("\nThe count of increments on the CustomBusinessDay object..\n", cbdOffset.n)
Example
Following is the code −
import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-10-22 03:10:35') # Display the Timestamp print("Timestamp...\n",timestamp) # Create the CustomBusinessDay Offset # CustomBusinessDay is the DateOffset subclass representing custom business days excluding holidays # Weekmask of valid business days cbdOffset = pd.tseries.offsets.CustomBusinessDay(n = 4, weekmask = 'Mon Tue Wed Fri') # Display the CustomBusinessDay Offset print("\nCustomBusinessDay Offset...\n",cbdOffset) # Add the offset to the Timestamp and display the Updated Timestamp print("\nUpdated Timestamp...\n",timestamp + cbdOffset) # Return frequency applied on the given CustomBusinessDay Offset object as a string print("\nFrequency applied on the given CustomBusinessDay Offset object...\n",cbdOffset.freqstr) # return the count of increments on the given CustomBusinessDay object print("\nThe count of increments on the CustomBusinessDay object..\n", cbdOffset.n)
Output
This will produce the following code −
Timestamp... 2021-10-22 03:10:35 CustomBusinessDay Offset... <4 * CustomBusinessDays> Updated Timestamp... 2021-10-29 03:10:35 Frequency applied on the given CustomBusinessDay Offset object... 4C The count of increments on the CustomBusinessDay object.. 4