Python Pandas Only Compare Identically Labeled DataFrame Objects

Question

I tried all the solutions here: Pandas "Can only compare identically-labeled DataFrame objects" error

Didn\'t work for me. Here\'s what I\'ve got. I hav

Answer 1

In order to get around this, you want to compare the underlying numpy arrays.

import pandas as pd

df1 = pd.DataFrame([[1, 2], [3, 4]], columns=['A', 'B'], index=['One', 'Two'])
df2 = pd.DataFrame([[1, 2], [3, 4]], columns=['a', 'b'], index=['one', 'two'])


df1.values == df2.values

array([[ True,  True],
       [ True,  True]], dtype=bool)