Equals with row permutation using Pandas

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I want to check if two data frames have the same rows. I've tried:

df1.equals(df2)

But it returns False, because rows are not in the same order. Is there any function which check equals, but with row permutation? Thank You very much for any help.

pandas python
1 Answers

In pandas the index is important , if the index different even all value same in the rows, we should still treat it as different , however we can do merge 

df1.merge(df2, indicator=True, how='outer')['_merge'].eq('both').all()
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