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