Python | Pandas tseries.offsets.CustomBusinessDay.kwds Last Updated : 07 Sep, 2022 Comments Improve Suggest changes Like Article Like Report Dateoffsets are a standard kind of date increment used for a date range in Pandas. It works exactly like relativedelta in terms of the keyword args we pass in. DateOffsets work as follows, each offset specify a set of dates that conform to the DateOffset. For example, Bday defines this set to be the set of dates that are weekdays (M-F). DateOffsets can be created to move dates forward a given number of valid dates. For example, Bday(2) can be added to a date to move it two business days forward. If the date does not start on a valid date, first it is moved to a valid date and then offset is created. Pandas tseries.offsets.CustomBusinessDay.kwds attribute returns the keyword argument applied on the given offset object. Syntax: pandas.tseries.offsets.CustomBusinessDay.kwds Parameter : None Returns : keyword argument Example #1: Use pandas.tseries.offsets.CustomBusinessDay.kwds attribute to return the keyword argument applied on the given offset object. Python3 # importing pandas as pd import pandas as pd # Creating Timestamp ts = pd.Timestamp('2019-4-23 11:15:00') # Create an offset cbd = pd.tseries.offsets.CustomBusinessDay(weekmask = 'Mon Tue Wed') # Print the Timestamp print(ts) # Print the Offset print(cbd) Output : Now we will add the offset to the given timestamp object to increment the datetime value. We will also print the keyword argument applied on the given offset object. Python3 # Adding the offset to the given timestamp new_timestamp = ts + cbd # Print the updated timestamp print(new_timestamp) # find the keyword argument applied on # the given offset result = cbd.kwds # print the result print(result) Output : As we can see in the output, we have successfully created an offset and added it to the given timestamp. We have also printed the keyword argument applied on the given offset object. Example #2: Use pandas.tseries.offsets.CustomBusinessDay.kwds attribute to return the keyword argument applied on the given offset object. Python3 # importing pandas as pd import pandas as pd # Creating Timestamp ts = pd.Timestamp('2019-4-23 11:15:00') # Create an offset cbd = pd.tseries.offsets.CustomBusinessDay(n = 3, weekmask = 'Mon Tue Wed Thu') # Print the Timestamp print(ts) # Print the Offset print(cbd) Output : Now we will add the offset to the given timestamp object to increment the datetime value. We will also print the keyword argument applied on the given offset object. Python3 # Adding the offset to the given timestamp new_timestamp = ts + cbd # Print the updated timestamp print(new_timestamp) # find the keyword argument applied on # the given offset result = cbd.kwds # print the result print(result) Output : As we can see in the output, we have successfully created an offset and added it to the given timestamp. We have also printed the frequency applied on the given offset object as a string. Comment More infoAdvertise with us Next Article Python | Pandas tseries.offsets.CustomBusinessDay.kwds S Shubham__Ranjan Follow Improve Article Tags : Python Python-pandas Python pandas-datetime Practice Tags : python Similar Reads Python | Pandas tseries.offsets.CustomBusinessDay Dateoffsets are a standard kind of date increment used for a date range in Pandas. It works exactly like relativedelta in terms of the keyword args we pass in. DateOffsets work as follows, each offset specify a set of dates that conform to the DateOffset. For example, Bday defines this set to be the 3 min read Python | Pandas tseries.offsets.BusinessDay.kwds Dateoffsets are a standard kind of date increment used for a date range in Pandas. It works exactly like relativedelta in terms of the keyword args we pass in. DateOffsets work as follows, each offset specify a set of dates that conform to the DateOffset. For example, Bday defines this set to be the 3 min read Python | Pandas tseries.offsets.CustomBusinessHour.kwds Dateoffsets are a standard kind of date increment used for a date range in Pandas. It works exactly like relativedelta in terms of the keyword args we pass in. DateOffsets work as follows, each offset specify a set of dates that conform to the DateOffset. For example, Bday defines this set to be the 3 min read Python | Pandas tseries.offsets.CustomBusinessDay.offset Dateoffsets are a standard kind of date increment used for a date range in Pandas. It works exactly like relativedelta in terms of the keyword args we pass in. DateOffsets work as follows, each offset specify a set of dates that conform to the DateOffset. For example, Bday defines this set to be the 3 min read Python | Pandas tseries.offsets.CustomBusinessDay.name Dateoffsets are a standard kind of date increment used for a date range in Pandas. It works exactly like relativedelta in terms of the keyword args we pass in. DateOffsets work as follows, each offset specify a set of dates that conform to the DateOffset. For example, Bday defines this set to be the 3 min read Python | Pandas tseries.offsets.CustomBusinessDay.freqstr Dateoffsets are a standard kind of date increment used for a date range in Pandas. It works exactly like relativedelta in terms of the keyword args we pass in. DateOffsets work as follows, each offset specify a set of dates that conform to the DateOffset. For example, Bday defines this set to be the 3 min read Python | Pandas tseries.offsets.CustomBusinessDay.copy Dateoffsets are a standard kind of date increment used for a date range in Pandas. It works exactly like relativedelta in terms of the keyword args we pass in. DateOffsets work as follows, each offset specify a set of dates that conform to the DateOffset. For example, Bday defines this set to be the 3 min read Python | Pandas tseries.offsets.CustomBusinessDay.onOffset Dateoffsets are a standard kind of date increment used for a date range in Pandas. It works exactly like relativedelta in terms of the keyword args we pass in. DateOffsets work as follows, each offset specify a set of dates that conform to the DateOffset. For example, Bday defines this set to be the 3 min read Python | Pandas tseries.offsets.CustomBusinessDay.isAnchored Dateoffsets are a standard kind of date increment used for a date range in Pandas. It works exactly like relativedelta in terms of the keyword args we pass in. DateOffsets work as follows, each offset specify a set of dates that conform to the DateOffset. For example, Bday defines this set to be the 3 min read Python | Pandas tseries.offsets.CustomBusinessHour Dateoffsets are a standard kind of date increment used for a date range in Pandas. It works exactly like relativedelta in terms of the keyword args we pass in. DateOffsets work as follows, each offset specify a set of dates that conform to the DateOffset. For example, Bday defines this set to be the 3 min read Like