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.
# 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)
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Output :
# 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)
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Output :
# 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)
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Output :
# 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)
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Output :