pandas.testing.assert_index_equal¶
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pandas.testing.assert_index_equal(left, right, exact='equiv', check_names=True, check_less_precise=False, check_exact=True, check_categorical=True, obj='Index')[source]¶
- Check that left and right Index are equal. - Parameters: - left : Index - right : Index - exact : bool / string {‘equiv’}, default False - Whether to check the Index class, dtype and inferred_type are identical. If ‘equiv’, then RangeIndex can be substituted for Int64Index as well. - check_names : bool, default True - Whether to check the names attribute. - check_less_precise : bool or int, default False - Specify comparison precision. Only used when check_exact is False. 5 digits (False) or 3 digits (True) after decimal points are compared. If int, then specify the digits to compare - check_exact : bool, default True - Whether to compare number exactly. - check_categorical : bool, default True - Whether to compare internal Categorical exactly. - obj : str, default ‘Index’ - Specify object name being compared, internally used to show appropriate assertion message