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Reproducible Example

I got the creditcard.csv from Kaggle: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud 

import pandas as pd
import numpy as np

credit_card_df = pd.read_csv('creditcard.csv')

duplicated_df = credit_card_df[credit_card_df.duplicated()]

duplicated_df

Issue Description

If you look at the output of the duplicated_df you can see rows 33 and 35 reported as duplicates when they aren't. The values are close but not exact duplicates

Expected Behavior

Would expect these rows to not be reported as duplicates because the values in the columns that aren't named 'Time' are not identical to each other.

Installed Versions