Python | Pandas TimedeltaIndex.symmetric_difference()

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.

Pandas TimedeltaIndex.symmetric_difference() function compute the symmetric difference of two Index objects. It’s sorted if sorting is possible. For a given pair of TimedeltaIndex object idx1 and idx2, symmetric_difference contains elements that appear in either idx1 or idx2 but not both. Equivalent to the Index created by idx1.difference(idx2) or idx2.difference(idx1) with duplicates dropped.

Syntax : TimedeltaIndex.symmetric_difference(other, result_name=None)
Parameters : 
other : Index or array-like 
result_name : str
Return : symmetric_difference : Index
 

Example #1: Use TimedeltaIndex.symmetric_difference() function to find the symmetric difference of two TimedeltaIndex objects.

# importing pandas as pd
import pandas as pd

# Create the first TimedeltaIndex object
tidx1 = pd.TimedeltaIndex(data =['06:05:01.000030', '+23:59:59.999999',
                         '22 day 2 min 3us 10ns', '+23:29:59.999999',
                         '+12:19:59.999999'])

# Create the second TimedeltaIndex object
tidx2 = pd.TimedeltaIndex(data =['09:11:18.000030', '+23:59:59.999999',
                         '9 day 18 min 3us ', '+23:29:59.999999',
                         '+12:19:59.999999'])

# Print the first TimedeltaIndex object
print(tidx1)

# Print the second TimedeltaIndex object
print(tidx2)

Output : 

Now we will use the TimedeltaIndex.symmetric_difference() function to find the symmetric difference.

# find the symmetric difference
tidx1.symmetric_difference(tidx2)

Output : 

As we can see in the output, the TimedeltaIndex.symmetric_difference() function has returned a new object which contains only those elements which are not common to both the objects. 
  
Example #2: Use TimedeltaIndex.symmetric_difference() function to find the symmetric difference of two TimedeltaIndex objects.

# importing pandas as pd
import pandas as pd

# Create the first TimedeltaIndex object
tidx1 = pd.TimedeltaIndex(start ='1 days 02:00:12.001124', 
                          periods = 5, freq ='D', name ='Koala')

# Create the second TimedeltaIndex object
tidx2 = pd.TimedeltaIndex(start ='3 days 02:00:12.001124',
                          periods = 5, freq ='D', name ='Koala')

# Print the first TimedeltaIndex object
print(tidx1)

# Print the second TimedeltaIndex object
print(tidx2)

Output : 

Now we will use the TimedeltaIndex.symmetric_difference() function to find the symmetric difference.

# find the symmetric difference
tidx1.symmetric_difference(tidx2)

Output : 

As we can see in the output, the TimedeltaIndex.symmetric_difference() function has returned a new object which contains only those elements which are not common to both the objects.