Python | Pandas tseries.offsets.BusinessHour.rule_code

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.BusinessHour.rule_code attribute return the rule_code of the frequency applied on the given offset as a string.

Syntax: pandas.tseries.offsets.BusinessHour.rule_code Parameter : None Returns : rule_code

Example #1: Use pandas.tseries.offsets.BusinessHour.rule_code attribute to return the rule_code of the frequency applied on the given offset as string. 

# importing pandas as pd
import pandas as pd

# Creating Timestamp
ts = pd.Timestamp('2019-10-10 11:15:00')

# Create an offset
bh = pd.tseries.offsets.BusinessHour(n = 5)

# Print the Timestamp
print(ts)

# Print the Offset
print(bh)

Output : Now we will add the Business hour offset to the given timestamp object to increment the datetime value. We will also print the rule_code of the frequency applied on the given offset as string. 

# Adding the Business hour offset to the given timestamp
new_timestamp = ts + bh

# Print the updated timestamp
print(new_timestamp)

# print the rule_code of the frequency
# applied as string
print(bh.name)

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 rule_code of the frequency applied on the given offset as string. Example #2: Use pandas.tseries.offsets.BusinessHour.rule_code attribute to return the rule_code of the frequency applied on the given offset as string. 

# importing pandas as pd
import pandas as pd

# Creating Timestamp
ts = pd.Timestamp('2019-10-10 11:15:00')

# Create an offset
bh = pd.tseries.offsets.BusinessHour(offset = datetime.timedelta(hours = 1))

# Print the Timestamp
print(ts)

# Print the Offset
print(bh)

Output : Now we will add the Business hour offset to the given timestamp object to increment the datetime value. We will also print the rule_code of the frequency applied on the given offset as string. 

# Adding the Business hour offset to the given timestamp
new_timestamp = ts + bh

# Print the updated timestamp
print(new_timestamp)

# print the rule_code of the frequency
# applied as string
print(bh.rule_code)

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 rule_code of the frequency applied on the given offset as string.