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Python Pandas - Compute the symmetric difference of two Index objects and unsort the result
To compute the symmetric difference of two Index objects and unsort the result, use the symmetric_difference() method in Pandas. To unsort, use the sort parameter and set to False.
At first, import the required libraries −
import pandas as pd
Creating two Pandas index −
index1 = pd.Index([50, 30, 20, 40, 10]) index2 = pd.Index([40, 10, 60, 20, 55])
Display the Pandas index1 and index2 −
print("Pandas Index1...\n",index1)
print("Pandas Index2...\n",index2)Perform symmetric difference. Unsort the result using the "sort" parameter with value False −
res = index1.symmetric_difference(index2, sort=False)
Example
Following is the code −
import pandas as pd
# Creating two Pandas index
index1 = pd.Index([50, 30, 20, 40, 10])
index2 = pd.Index([40, 10, 60, 20, 55])
# Display the Pandas index1 and index2
print("Pandas Index1...\n",index1)
print("Pandas Index2...\n",index2)
# Return the number of elements in Index1 and Index2
print("\nNumber of elements in index1...\n",index1.size)
print("\nNumber of elements in index2...\n",index2.size)
# Perform symmetric difference
# Unsort the result using the "sort" parameter
res = index1.symmetric_difference(index2, sort=False)
# Symmetric difference of both the indexes
print("\nThe index1 and index2 symmetric difference with unsorted result...\n",res)Output
This will produce the following output −
Pandas Index1... Int64Index([50, 30, 20, 40, 10], dtype='int64') Pandas Index2... Int64Index([40, 10, 60, 20, 55], dtype='int64') Number of elements in index1... 5 Number of elements in index2... 5 The index1 and index2 symmetric difference with unsorted result... Int64Index([50, 30, 60, 55], dtype='int64')
Updated on: 14-Oct-2021
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