How to use init_schema_no_groupby_column method in pandera

Best Python code snippet using pandera_python

test_checks.py

Source:test_checks.py

...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):241        init_schema_no_groupby_column()242    # can't use groupby argument in SeriesSchema or Index objects243    for schema_class in [SeriesSchema, Index]:244        with pytest.raises(245            errors.SchemaInitError, match="^Cannot use groupby checks with"246        ):247            schema_class(Int, Check(lambda s: s["bar"] == 1, groupby="foo"))248def test_dataframe_checks() -> None:249    """Tests that dataframe checks validate, error when a DataFrame doesn't250    comply with the schema, simple tests of the groupby checks which are251    covered in more detail above."""252    schema = DataFrameSchema(253        columns={254            "col1": Column(Int),255            "col2": Column(Float),...

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