Python Pandas - Get the weekmask applied on the CustomBusinessHour offset



To get the weekmask applied on the CustomBusinessHour offset, use the CustomBusinessHour.weekmask property in Pandas.

At first, import the required libraries −

import pandas as pd

Set the timestamp object in Pandas −

timestamp = pd.Timestamp('2021-11-14 05:20:30') 

Create the CustomBusinessHour Offset. CustomBusinessHour is the DateOffset subclass. Weekmask of valid business days −

cbhOffset = pd.tseries.offsets.CustomBusinessHour(n = 7, weekmask = 'Mon Tue Wed Fri')

Add the offset to the Timestamp and display the Updated Timestamp −

print("\nUpdated Timestamp...\n",timestamp + cbhOffset) 

Display the weekmask −

print("\nThe weekmask on the CustomBusinessHour object..\n", cbhOffset.weekmask)

Example

Following is the code −

import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-11-14 05:20:30') # Display the Timestamp print("Timestamp...\n",timestamp) # Create the CustomBusinessHour Offset # CustomBusinessHour is the DateOffset subclass # Weekmask of valid business days cbhOffset = pd.tseries.offsets.CustomBusinessHour(n = 7, weekmask = 'Mon Tue Wed Fri') # Display the CustomBusinessHour Offset print("\nCustomBusinessHour Offset...\n",cbhOffset) # Add the offset to the Timestamp and display the Updated Timestamp print("\nUpdated Timestamp...\n",timestamp + cbhOffset) # Return frequency applied on the given CustomBusinessHour Offset object as a string print("\nFrequency applied on the given CustomBusinessHour Offset object...\n",cbhOffset.freqstr) # display the weekmask print("\nThe weekmask on the CustomBusinessHour object..\n", cbhOffset.weekmask)

Output

This will produce the following code −

Timestamp... 2021-11-14 05:20:30 CustomBusinessHour Offset... <7 * CustomBusinessHours: CBH=09:00-17:00> Updated Timestamp... 2021-11-15 16:00:00 Frequency applied on the given CustomBusinessHour Offset object... 7CBH The weekmask on the CustomBusinessHour object.. Mon Tue Wed Fri
Updated on: 2021-10-22T08:02:27+05:30

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