To return frequency applied on the given BusinessHour Offset object as a string, use the BusinessHour.freqstr property in Pandas.At first, import the required libraries −import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-1-1 01:55:30') Create the BusinessHour Offset −bhOffset = pd.tseries.offsets.BusinessHour(start="09:30", end = "18:00")Display the Updated Timestamp −print("Updated Timestamp...", timestamp + bhOffset) Return frequency applied on the given BusinessHour Offset object as a string −print("Frequency applied on the given BusinessHour Offset object...", bhOffset.freqstr)ExampleFollowing is the code −import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-1-1 01:55:30') # Display the Timestamp ... Read More

To create a BusinessHour offset, use the pd.tseries.offsets.BusinessHour() method in Pandas. At first, import the required libraries −import pandas as pdCreate the BusinessHour Offset. BusinessHour is the DateOffset subclass. Here, "start" is the start time of your custom business hour in 24h format. The "end" is the end time of your custom business hour in 24h format −bhOffset = pd.tseries.offsets.BusinessHour(start="09:30", end = "18:00") Set the timestamp object in Pandas −timestamp = pd.Timestamp('2021-1-1 01:55:30')Add the offset to the Timestamp and display the Updated Timestamp −print("Updated Timestamp...", timestamp + bhOffset) ExampleFollowing is the code −import pandas as pd # Set the ... Read More

To return the count of increments applied on the BusinessDay offset, use the BusinessDay.n property in Pandas.At first, import the required libraries −import datetime import pandas as pdSet the timestamp object in Pandas” −timestamp = pd.Timestamp('2021-10-30 01:55:02.000045') Create the BusinessDay Offset. BusinessDay is the DateOffset subclass −bdOffset = pd.tseries.offsets.BusinessDay(n = 6)Display the Updated Timestamp −print("Updated Timestamp...", timestamp + bdOffset) Return the count of increments on the given BusinessDay object −print("The count of increments on the BusinessDay object..", bdOffset.n)ExampleFollowing is the code −import datetime import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-10-30 01:55:02.000045') ... Read More

To return the rule code applied on the given BusinessDay object, use the BusinessDay.rule_code property in Pandas.At first, import the required libraries −import datetime import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-10-30 01:55:02.000045') Create the BusinessDay Offset. BusinessDay is the DateOffset subclass −bdOffset = pd.tseries.offsets.BusinessDay(offset = datetime.timedelta(hours = 8, minutes = 10))Display the Updated Timestamp −print("Updated Timestamp...", timestamp + bdOffset) Return the rule code of the frequency applied on the given BusinessDay Offset −print("The rule code of the BusinessDay object..", bdOffset.rule_code)ExampleFollowing is the code −import datetime import pandas as pd # Set the timestamp object ... Read More

To check whether the BusinessDay Offset has been normalized or not, use the BusinessDay.normalize property in Pandas.At first, import the required libraries −import datetime import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-10-30 01:55:02.000045') Create the BusinessDay Offset. BusinessDay is the DateOffset subclass. We have normalized the BusinessDay using the "normalize" parameter −bdOffset = pd.tseries.offsets.BusinessDay(offset = datetime.timedelta(hours = 8, minutes = 10), normalize=True)Display the Updated Timestamp −print("Updated Timestamp...", timestamp + bdOffset) Check whether the BusinessDay Offset is normalized or not −print("The BusinessDay Offset is normalized..", bdOffset.normalize)ExampleFollowing is the code −import datetime import pandas as pd # ... Read More

To return the name of the frequency applied on the given BusinessDay offset object, use the BusinessDay.name property in Pandas.At first, import the required libraries −import datetime import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-10-30 01:55:02.000045') Create the BusinessDay Offset. BusinessDay is the DateOffset subclass −bdOffset = pd.tseries.offsets.BusinessDay(offset = datetime.timedelta(hours = 8, minutes = 10))Display the Updated Timestamp −print("Updated Timestamp...", timestamp + bdOffset) Return the name of the frequency applied on the given BusinessDay object −print("The name of the frequency on the BusinessDay object..", bdOffset.name)ExampleFollowing is the code −import datetime import pandas as pd # ... Read More

To display the keyword arguments applied on the given BusinessDay Offset object, use the BusinessDay.kwds property in Pandas.At first, import the required libraries −import datetime import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-10-30 01:55:02.000045') Create the BusinessDay Offset. BusinessDay is the DateOffset subclass −bdOffset = pd.tseries.offsets.BusinessDay(offset = datetime.timedelta(hours = 7, minutes = 7))Display the Updated Timestamp −print("Updated Timestamp...", timestamp + bdOffset) Display the keyword arguments −print("Keyword arguments on the given BusinessDay Offset...", bdOffset.kwds)ExampleFollowing is the code −import datetime import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-10-30 01:55:02.000045') # ... Read More

To return frequency applied on the given BusinessDay Offset object as a string, use the BusinessDay.freqstr property in Pandas.At first, import the required libraries −import datetime import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-1-1 01:55:02.000045')Create the BusinessDay Offset. BusinessDay is the DateOffset subclass −bdOffset = pd.tseries.offsets.BusinessDay(offset = datetime.timedelta(days = 7, hours = 7, minutes = 7))Display the Updated Timestamp −print("Updated Timestamp...", timestamp + bdOffset)Return the frequency applied on the given BusinessDay object as a string −print("Frequency on the given BusinessDay Offset...", bdOffset.freqstr)ExampleFollowing is the code −import datetime import pandas as pd # Set the timestamp ... Read More

To create a BusinessDay offset, use the pd.tseries.offsets.BusinessDay() method in Pandas. At first, import the required libraries −import datetime import pandas as pdCreate the BusinessDay Offset. BusinessDay is the DateOffset subclass −bdOffset = pd.tseries.offsets.BusinessDay(offset = datetime.timedelta(days = 7, hours = 7, minutes = 7))Display the BusinessDay Offset −print("BusinessDay Offset...", bdOffset) Set the timestamp object in Pandas −timestamp = pd.Timestamp('2021-1-1 01:55:02.000045')Display the Updated Timestamp −print("Updated Timestamp...", timestamp + bdOffset) ExampleFollowing is the code −import datetime import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-1-1 01:55:02.000045') # Display the Timestamp print("Timestamp...", timestamp) # Create ... Read More

To check if the given DateOffset is Anchored, use the offset.is_anchored() method in Pandas. At first, import the required libraries −from pandas.tseries.frequencies import to_offset import pandas as pdSet the timestamp object in Pandas −timestamp = pd.Timestamp('2021-09-26 03:25:02.000045') Create the DateOffset. We are using the Anchored offset i.e. weekly frequency here for Tuesday −offset = to_offset("W-TUE")Display the Updated Timestamp −print("Updated Timestamp...", timestamp + offset) Check whether the DateOffset is anchored −print("Check whether the DateOffset is anchored...", offset.is_anchored())ExampleFollowing is the code −from pandas.tseries.frequencies import to_offset import pandas as pd # Set the timestamp object in Pandas timestamp = pd.Timestamp('2021-09-26 03:25:02.000045') ... Read More