Python | Pandas tseries.offsets.DateOffset.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 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.DateOffset.freqstr attribute returns the frequency object as a string for the given DateOffset object.

Syntax: pandas.tseries.offsets.DateOffset.freqstr Parameter : None Returns : frequency object applied as a string

Example #1: Use pandas.tseries.offsets.DateOffset.freqstr attribute to return the frequency object applied on the given DateOffset 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 the DateOffset
do = pd.tseries.offsets.DateOffset(n = 2)

# Print the Timestamp
print(ts)

# Print the DateOffset
print(do)

Output : Now we will add the dateoffset to the given timestamp object to create an offset of 2 days from the given date. Also return the frequency applied on the given DateOffset object. 

Python3

# Adding the dateoffset to the given timestamp
new_timestamp = ts + do

# Print the updated timestamp
print(new_timestamp)

# Now we will find the freqstr
print(do.freqstr)

Output : As we can see in the output, the attribute has successfully returned the frequency applied on the given DateOffset object as a string. Example #2: Use pandas.tseries.offsets.DateOffset.freqstr attribute to return the frequency object applied on the given DateOffset 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 the DateOffset
do = pd.tseries.offsets.DateOffset(days = 10, hours = 2)

# Print the Timestamp
print(ts)

# Print the DateOffset
print(do)

Output : Now we will add the dateoffset to the given timestamp object to create an offset of 2 days from the given date. Also return the frequency applied on the given DateOffset object. 

Python3

# Adding the dateoffset to the given timestamp
new_timestamp = ts + do

# Print the updated timestamp
print(new_timestamp)

# Now we will find the freqstr
print(do.freqstr)

Output : As we can see in the output, the attribute has successfully returned the frequency applied on the given DateOffset object as a string.