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.
Python3
# importing pandas as pdimport pandas as pd# Create the first TimedeltaIndex objecttidx1 = 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 objecttidx2 = 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 objectprint(tidx1)# Print the second TimedeltaIndex objectprint(tidx2) |
Output :
Now we will use the TimedeltaIndex.symmetric_difference() function to find the symmetric difference.
Python3
# find the symmetric differencetidx1.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.
Python3
# importing pandas as pdimport pandas as pd# Create the first TimedeltaIndex objecttidx1 = pd.TimedeltaIndex(start ='1 days 02:00:12.001124', periods = 5, freq ='D', name ='Koala')# Create the second TimedeltaIndex objecttidx2 = pd.TimedeltaIndex(start ='3 days 02:00:12.001124', periods = 5, freq ='D', name ='Koala')# Print the first TimedeltaIndex objectprint(tidx1)# Print the second TimedeltaIndex objectprint(tidx2) |
Output :
Now we will use the TimedeltaIndex.symmetric_difference() function to find the symmetric difference.
Python3
# find the symmetric differencetidx1.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.
