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To roll provided date backward, use the CustomBusinessHour.rollback() method in Pandas. At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-12-20 08:35:10') Create the CustomBusinessHour Offset. CustomBusinessHour is the DateOffset subclass −cbhOffset = pd.tseries.offsets.CustomBusinessHour(n = 5, weekmask = 'Mon Tue Wed Fri')Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbhOffset) Roll backward if not on offset −roll_back = cbhOffset.rollback(pd.Timestamp('2021-12-18 08:35:10'))Display the result −print("Roll Backward Result...", roll_back) ExampleFollowing is the code −import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-12-20 ... Read More

To move to the next business day, use the CustomBusinessHour.next_bday property in Pandas. At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-12-20 08:35:10') Create the CustomBusinessHour Offset. CustomBusinessHour is the DateOffset subclass −cbhOffset = pd.tseries.offsets.CustomBusinessHour(start ='09:30', end ='18:00', n = 5, weekmask = 'Mon Tue Wed Fri')Display the CustomBusinessHour Offset −print("CustomBusinessHour Offset...", cbhOffset) Display the next business day −print("The next business day...", timestamp + cbhOffset.next_bday)ExampleFollowing is the code −import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-12-20 08:35:10') # Display the Timestamp print("Timestamp...", timestamp) ... Read More

To roll provided date forward to next offset only if not on offset, use the CustomBusinessHour.rollforward() method in Pandas.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-12-20 08:35:10') Create the CustomBusinessHour Offset. CustomBusinessHour is the DateOffset subclass. Weekmask of valid business days −cbhOffset = pd.tseries.offsets.CustomBusinessHour(n = 5, weekmask = 'Mon Tue Wed Fri')Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbhOffset) Roll forward if not on offset −roll = cbhOffset.rollforward(pd.Timestamp('2021-12-30 08:35:10'))Display the result −print("Roll forward Result...", roll) ExampleFollowing is the code −import pandas as ... Read More

To create a CustomBusinessHour object, use the pandas.tseries.offsets.CustomBusinessHour() method in Pandas.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-12-31 08:35:10') Create the CustomBusinessHour Offset. CustomBusinessHour is the DateOffset subclass. Weekmask of valid business days −cbhOffset = pd.tseries.offsets.CustomBusinessHour(n = 5, weekmask = 'Mon Tue Wed Fri')Display the CustomBusinessHour Offset −print("CustomBusinessHour Offset...", cbhOffset) Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbhOffset)ExampleFollowing is the code −import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-12-31 08:35:10') # Display the Timestamp ... Read More

To get the weekmask applied on the CustomBusinessDay offset, use the CustomBusinessDay.weekmask property in Pandas.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-10-22 03:10:35') 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')Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbdOffset) Display the weekmask −print("The weekmask on the CustomBusinessDay object..", cbdOffset.weekmask)ExampleFollowing is the code −import pandas as pd # Set the ... Read More

We are given with an integer array and an integer variable i.e. ‘X’. The task is to firstly form the subarray from the given array and then multiply all the elements of a subarray with an integer X. At last find out the elements that will contribute the maximum sum.Let us see various input output scenarios for this -In − int arr[] = {2, 4, 1, -5, -2}, X = 3Out  − Maximize the subarray sum after multiplying all elements of any subarray with X are: 21Explanation − we are given with an array and an integer variable as X. Firstly, ... Read More

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 pdSet 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("Updated Timestamp...", timestamp + cbdOffset) Return the count of increments on the given CustomBusinessDay object −print("The count of increments on the CustomBusinessDay object..", cbdOffset.n)ExampleFollowing is the code −import pandas as pd # Set the timestamp object in Pandas timestamp ... Read More

To return the rule code applied on the given CustomBusinessDay object, use the CustomBusinessDay.rule_code property in Pandas.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-10-22 03:10:35') Create the CustomBusinessDay Offset .CustomBusinessDay is the DateOffset subclass representing custom business days excluding holidays −cbdOffset = pd.tseries.offsets.CustomBusinessDay(n = 2, weekmask = 'Mon Tue Wed Fri')Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbdOffset) Return the rule code of the frequency applied on the given CustomBusinessDay Offset −print("The rule code of the CustomBusinessDay object..", cbdOffset.rule_code)ExampleFollowing is the code ... Read More

To check whether the CustomBusinessDay Offset has been normalized or not, use the CustomBusinessDay.normalize property in Pandas.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-10-22 03:10:35') Create the CustomBusinessDay Offset. CustomBusinessDay is the DateOffset subclass representing custom business days excluding holidays. Weekmask of valid business days. We have normalized the CustomBusinessDay using the "normalize" parameter −cbdOffset = pd.tseries.offsets.CustomBusinessDay(n = 2, weekmask = 'Mon Tue Wed Fri', normalize=True)Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbdOffset) Check whether the CustomBusinessDay Offset is normalized or not ... Read More

To return the name of the frequency applied on the given CustomBusinessDay offset object, use the CustomBusinessDay.name property.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-12-31 08:35:10') Create the CustomBusinessDay Offset. CustomBusinessDay is the DateOffset subclass representing custom business days excluding holidays −cbdOffset = pd.tseries.offsets.CustomBusinessDay(n = 2, weekmask = 'Mon Tue Wed Fri')Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + cbdOffset) Return the name of the frequency applied on the given CustomBusinessDay object −print("The name of the frequency on the CustomBusinessDay object..", cbdOffset.name)ExampleFollowing is ... Read More