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How to use init_schema_element_wise method in pandera

Best Python code snippet using pandera_python

test_checks.py

Source:test_checks.py

...199        schema_fail_nonexistent_key_in_groups.validate(df)200def test_groupby_init_exceptions() -> None:201    """Test that when using a groupby it errors properly across a variety of202    API-specific differences."""203    def init_schema_element_wise():204        DataFrameSchema(205            {206                "col1": Column(207                    Int,208                    [209                        Check(210                            lambda s: s["foo"] > 10,211                            element_wise=True,212                            groupby=["col2"],213                        ),214                    ],215                ),216                "col2": Column(217                    String, Check(lambda s: s.isin(["foo", "bar"]))218                ),219            }220        )221    # can't use groupby in Checks where element_wise == True222    with pytest.raises(223        errors.SchemaInitError,224        match=r"^Cannot use groupby when element_wise=True.",225    ):226        init_schema_element_wise()227    # raise errors.SchemaInitError even when the schema doesn't specify column228    # key for groupby column229    def init_schema_no_groupby_column():230        DataFrameSchema(231            {232                "col1": Column(233                    Int,234                    [235                        Check(lambda s: s["foo"] > 10, groupby=["col2"]),236                    ],237                ),238            }239        )240    with pytest.raises(errors.SchemaInitError):...

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