In pandas, what is the method to eliminate identical values that appear in the same row within two columns of a dataframe? How can the remaining values be stored in a new dataframe without altering the original dataframe?

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The method to eliminate identical values that appear in the same row within two columns of a dataframe in pandas is to use the 'drop_duplicates' method.

Assuming a dataframe named 'df', with columns 'column1' and 'column2', the code to eliminate identical values and store the remaining values in a new dataframe ('new_df') is:

new_df = df[['column1', 'column2']].drop_duplicates()

This code selects only the columns 'column1' and 'column2', eliminates the identical values that appear in the same row in these columns and stores the remaining values in the new dataframe 'new_df'. The original dataframe 'df' is not altered by this code.