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# pandas.testing.assert_index_equal

pandas.testing.assert_index_equal(left, right, exact='equiv', check_names=True, check_exact=True, check_categorical=True, check_order=True, rtol=1e-05, atol=1e-08, obj='Index')

  Check that left and right Index are equal.

  Parameters:
    left Index
    right Index
    exact bool or {‘equiv’}, default ‘equiv’

      Whether to check the Index class, dtype and inferred_type are identical. If ‘equiv’, then RangeIndex can be substituted for Index with an int64 dtype as well.

    check_names bool, default True

      Whether to check the names attribute.

    check_exact bool, default True

      Whether to compare number exactly.

    check_categorical bool, default True

      Whether to compare internal Categorical exactly.

    check_order bool, default True

      Whether to compare the order of index entries as well as their values. If True, both indexes must contain the same elements, in the same order. If False, both indexes must contain the same elements, but in any order.

    rtol float, default 1e-5

      Relative tolerance. Only used when check_exact is False.

    atol float, default 1e-8

      Absolute tolerance. Only used when check_exact is False.

    obj str, default ‘Index’

      Specify object name being compared, internally used to show appropriate assertion message.

  Examples

      >>> from pandas import testing as tm
      >>> a = pd.Index([1, 2, 3])
      >>> b = pd.Index([1, 2, 3])
      >>> tm.assert_index_equal(a, b)