pandas.testing.assert_index_equal

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 ‘equiv’

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

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