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Python | Pandas tseries.offsets.BusinessDay.freqstr

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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 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.BusinessDay.freqstr attribute return the frequency applied on the given offset object as a string.

Syntax: pandas.tseries.offsets.BusinessDay.freqstr Parameter : None Returns : offset frequency as string

Example #1: Use pandas.tseries.offsets.BusinessDay.freqstr attribute to return the frequency applied on the given Business day offset object as a string. 

Python3




# importing pandas as pd
import pandas as pd
 
# Creating Timestamp
ts = pd.Timestamp('2019-10-10 07:15:11')
 
# Create an offset of 5 Business days
bd = pd.tseries.offsets.BusinessDay(n = 5)
 
# Print the Timestamp
print(ts)
 
# Print the DateOffset
print(bd)


Output : Now we will add the Business day offset to the given timestamp object to increment the datetime value. We will also print the frequency applied on the given offset object. 

Python3




# Adding the Business day offset to the given timestamp
new_timestamp = ts + bd
 
# Print the updated timestamp
print(new_timestamp)
 
# Print the frequency applied on
# the given offset object
print(bd.freqstr)


Output : As we can see in the output, we have successfully created an offset of 5 Business days and added it to the given timestamp. We have also printed the frequency applied on the given offset object as a string. Example #2 : Use pandas.tseries.offsets.BusinessDay.freqstr attribute to return the frequency applied on the given Business day offset object as a string. 

Python3




# importing pandas as pd
import pandas as pd
 
# importing the to_offset function
from pandas.tseries.frequencies import to_offset
 
# Creating Timestamp
ts = pd.Timestamp('2019-10-10 07:15:11')
 
# Create an offset of 10 Business days and 10 hours
bd = pd.tseries.offsets.BusinessDay(offset = datetime.timedelta(days = 10, hours = 10))
 
# Print the Timestamp
print(ts)
 
# Print the DateOffset
print(bd)


Output : Now we will add the Business day offset to the given timestamp object to increment the datetime value. We will also print the frequency applied on the given offset object. 

Python3




# Adding the Business day offset to the given timestamp
new_timestamp = ts + bd
 
# Print the updated timestamp
print(new_timestamp)
 
# Print the frequency applied on
# the given offset object
print(bd.freqstr)


Output : As we can see in the output, we have successfully created an offset of 10 Business days & 10 hours and added it to the given timestamp. We have also printed the frequency applied on the given offset object as a string.



Last Updated : 10 Oct, 2022
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