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This approach, df1 != df2, works only for dataframes with identical rows and columns. In fact, all dataframes axes are compared with _indexed_same method, and exception is raised if differences found, even in columns/indices order. If I got you right, you want not to find changes, but symmetric difference. For that, one approach might be concatenate dataframes: >>> df = pd.concat([df1, df2 ...
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