Python | Pandas tseries.offsets.DateOffset.copy

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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 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.copy() function returns a copy of the given DateOffset object.

Syntax: pandas.tseries.offsets.DateOffset.copy() Parameter : None Returns : copy of the given object

Example #1: Use pandas.tseries.offsets.DateOffset.copy() function to return a copy of the given DateOffset object.

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 the DateOffset of 2 day
do = to_offset(freq = '2D')
 
# Print the Timestamp
print(ts)
 
# Print the DateOffset
print(do)

Output : Now we will add the dateoffset to the given timestamp object to increment the datetime value. We will also return a copy of 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 create a copy of the given
# DateOffset object.
do_copy = do.copy()
 
# Check if the two objects are same or not
print(do_copy is do)

Output : As we can see in the output, the function has successfully created a copy of the given Dateoffset object. False indicates the two objects are not same. Example #2: Use pandas.tseries.offsets.DateOffset.copy() function to return a copy of the given DateOffset object.

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 the DateOffset
do = to_offset(freq = '10D2H')
 
# Print the Timestamp
print(ts)
 
# Print the DateOffset
print(do)

Output : Now we will add the dateoffset to the given timestamp object to increment the datetime value. We will also return a copy of 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 create a copy of the given
# DateOffset object.
do_copy = do.copy()
 
# Check if the two objects are same or not
print(do_copy is do)

Output : As we can see in the output, the function has successfully created a copy of the given Dateoffset object. False indicates the two objects are not same.