Reason for Error
Can only compare identically-labeled series objects: It is Value Error, occurred when we compare 2 different DataFrames (Pandas 2-D Data Structure). If we compare DataFrames which are having different labels or indexes then this error can be thrown.
How to Reproduce the Error
Python3
# import necessary packagesimport pandas as pd# create 2 dataframes with different indexeshostelCandidates1 = pd.DataFrame({'Height in CMs': [150, 170, 160], 'Weight in KGs': [70, 55, 60]}, index=[1, 2, 3])hostelCandidates2 = pd.DataFrame({'Height in CMs': [150, 170, 160], 'Weight in KGs': [70, 55, 60]}, index=['A', 'B', 'C'])# displaying 2 dataframesprint(hostelCandidates1)print(hostelCandidates2)# compare 2 dataframeshostelCandidates1 == hostelCandidates2 |
Output:
Even though the data in the 2 DataFrames are the same but the indexes of these are different. So in order to compare the data of 2 DataFrames are the same or not, we need to follow the below approaches/solutions
How to Fix: Can only compare identically-labeled series objects
In this article, we are going to see how to fix it: Can only compare identically-labeled series objects in Python.
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