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Check Similarity of Two Index Objects in Python Pandas
To check whether the two Index objects have similar object attributes and types, use the index1.identical(index2) method.
At first, import the required libraries -
import pandas as pd
Creating Pandas index1 and index2 −
index1 = pd.Index([15, 25, 35, 45, 55]) index2 = pd.Index([15, 25, 35, 45, 55])
Display the index1 and index2 −
print("Pandas Index1...\n",index1) print("Pandas Index2...\n",index2)
Check whether the two index objects have similar attributes and types or not −
print("\nThe two Index objects have similar attributes and types?" "\n",index1.identical(index2))
Example
Following is the code −
import pandas as pd # Creating Pandas index1 and index2 index1 = pd.Index([15, 25, 35, 45, 55]) index2 = pd.Index([15, 25, 35, 45, 55]) # Display the index1 and index2 print("Pandas Index1...\n",index1) print("Pandas Index2...\n",index2) print("\nThe two Index objects have similar attributes and types?" "\n",index1.identical(index2))
Output
This will produce the following output −
Pandas Index1... Int64Index([15, 25, 35, 45, 55], dtype='int64') Pandas Index2... Int64Index([15, 25, 35, 45, 55], dtype='int64') The two Index objects have similar attributes and types? True
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