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. DateOffets 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.

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# 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 :

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.

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# 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 :


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.

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# 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 :

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.

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close

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link
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code

# 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 :

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



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