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How to use test_dataframe_schema_dtypes method in pandera

Best Python code snippet using pandera_python

test_schemas_on_koalas.py

Source:test_schemas_on_koalas.py

...114        assert isinstance(data_container_cls(sample), data_container_cls)115@pytest.mark.parametrize("dtype_cls", DTYPES)116@pytest.mark.parametrize("coerce", [True, False])117@hypothesis.given(st.data())118def test_dataframe_schema_dtypes(119    dtype_cls: pandas_engine.DataType,120    coerce: bool,121    data: st.DataObject,122):123    """124    Test that all supported koalas data types work as expected for dataframes.125    """126    if dtype_cls in UNSUPPORTED_STRATEGY_DTYPE_CLS:127        pytest.skip(128            f"type {dtype_cls} currently not supported by the strategies "129            "module"130        )131    schema = pa.DataFrameSchema({"column": pa.Column(dtype_cls)})132    schema.coerce = coerce...

test_schemas_on_modin.py

Source:test_schemas_on_modin.py

...95    assert isinstance(schema(data_container_cls(sample)), data_container_cls)96@pytest.mark.parametrize("dtype_cls", TEST_DTYPES_ON_MODIN)97@pytest.mark.parametrize("coerce", [True, False])98@hypothesis.given(st.data())99def test_dataframe_schema_dtypes(100    dtype_cls: pandas_engine.DataType,101    coerce: bool,102    data: st.DataObject,103):104    """105    Test that all supported modin data types work as expected for dataframes.106    """107    dtype = pandas_engine.Engine.dtype(dtype_cls)108    schema = pa.DataFrameSchema({"column": pa.Column(dtype)}, coerce=coerce)109    with pytest.warns(110        UserWarning, match="Distributing .+ object. This may take some time."111    ):112        _test_datatype_with_schema(schema, data)113@pytest.mark.parametrize("dtype_cls", TEST_DTYPES_ON_MODIN)...

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