How to use unique_values_eq method in pandera

Best Python code snippet using pandera_python

checks.py

Source:checks.py

...863            ),864        )865    @classmethod866    @register_check_statistics(["values"])867    def unique_values_eq(868        cls,869        values: Iterable,870        **kwargs,871    ) -> "Check":872        """Ensure that the unique values in the data object contain all specified values.873        .. note::874            In constrast with :meth:`Check.isin`, this check makes sure that all the items875            in the ``values`` iterable are contained within the series.876        :param values: The set of values that must be present. Maybe any iterable.877        :param kwargs: key-word arguments passed into the `Check` initializer.878        :returns: :class:`Check` object879        """880        set_values = frozenset(values)881        def _unique_values_eq(series: pd.Series) -> pd.Series:882            """Comparison function for check"""883            return set(series.unique()) == set_values884        return cls(885            _unique_values_eq,886            **_check_kwargs(887                kwargs,888                cls.unique_values_eq.__name__,889                f"unique_values_eq({values})",890            ),...

test_checks_builtin.py

Source:test_checks_builtin.py

...918        [[1.0, 2.0, 3.0] * 10, [1.0, 2.0], False, {}],919        [[1.0, 2.0, 3.0] * 10, [1.0, 2.0, 3.0, 4.0], False, {}],920    ],921)922def test_unique_values_eq(series_values, check_arg, passes, failure_cases):923    """Test that unique_values_eq works as expected."""924    check_values(925        pd.Series(series_values),926        Check.unique_values_eq(check_arg),927        passes,928        failure_cases,929    )930@pytest.mark.parametrize("values", [1, 1.0])931def test_unique_values_eq_raise_error(values):932    """Test that unique_values_eq raises an error arg is not iterable."""933    with pytest.raises(TypeError):...

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