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How to use try_coerce method in pandera

Best Python code snippet using pandera_python

test_dtypes.py

Source:test_dtypes.py

...335            [3],336        ),337    ],338)339def test_try_coerce(examples, type_, failure_indices):340    """Test that try_coerce raises a ParseError."""341    data_type = pandas_engine.Engine.dtype(type_)342    data = pd.Series(examples)343    with pytest.raises(pa.errors.ParserError):344        data_type.try_coerce(data)345    try:346        data_type.try_coerce(data)347    except pa.errors.ParserError as exc:348        assert exc.failure_cases["index"].to_list() == failure_indices349def test_coerce_string():350    """Test that strings can be coerced."""351    data = pd.Series([1, None], dtype="Int32")352    coerced = pandas_engine.Engine.dtype(str).coerce(data).to_list()353    assert isinstance(coerced[0], str)354    assert pd.isna(coerced[1])355def test_default_numeric_dtypes():356    """357    Test that default numeric dtypes int, float and complex are consistent.358    """359    default_int_dtype = pd.Series([1]).dtype360    assert (...

types.py

Source:types.py

...88            return rhs89        if self.is_subtype(rhs, lhs):90            return lhs91        return Union(lhs, rhs)92    # def try_coerce(self, value, dst):93    #     coercion = self.try_coercion(value.typ, dst)94    #     if coercion:95    #         return values.Value(coercion(value.value))96    #     return None97    # def try_coercion(self, src, dst):98    #     if dst == Any or src == Void:99    #         return identity100    #     if src in self.basic_types and dst in self.basic_types:101    #         return self.basic_coercions.get((src, dst))102    #     elif isinstance(src, Array) and isinstance(dst, Array):103    #         f = self.try_coercion(src.element_type, dst.element_type)104    #         if f:105    #             return lambda arr: Array(106    #                 [values.Value(f(x.value)) for x in arr.value]...

test_pandas_engine.py

Source:test_pandas_engine.py

...30    if data_type.type is None:31        # don't test data types that require parameters e.g. Category32        return33    try:34        data_type().try_coerce(pd.Series(["1", "2", "a"]))35    except ParserError as exc:...

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