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How to use test_dataframe_check method in pandera

Best Python code snippet using pandera_python

test_model.py

Source:test_model.py

...388    df = pd.DataFrame({"a": [15], "abc": [100]})389    err_msg = r"Column\s*a\s*a_max\s*\[15\]\s*1"390    with pytest.raises(pa.errors.SchemaErrors, match=err_msg):391        schema.validate(df, lazy=True)392def test_dataframe_check() -> None:393    """Test dataframe checks."""394    class Base(pa.SchemaModel):395        a: Series[int]396        b: Series[int]397        @pa.dataframe_check398        @classmethod399        def value_max(cls, df: pd.DataFrame) -> Iterable[bool]:400            return df < 200401    class Child(Base):402        @pa.dataframe_check()403        @classmethod404        def value_min(cls, df: pd.DataFrame) -> Iterable[bool]:405            return df > 0406        @pa.dataframe_check...

test_segment_processing.py

Source:test_segment_processing.py

...163        del self.df2164    def test_segment_check(self):165        "Makes sure segment object is passed"166        self.assertRaises(TypeError, AppendDataframesToSegment, 'not a segment')167    def test_dataframe_check(self):168        "Makes sure dataframe object is passed"169        self.assertRaises(TypeError, AppendDataframesToSegment, self.segment,170            'not a dataframe')171    def test_names_check(self):172        "Makes sure names is string or list"173        self.assertRaises(TypeError, AppendDataframesToSegment, self.segment,174            self.df, {'not': 'a list of string'})175    def test_segment_has_dataframe_attribute_if_none_before(self):176        "Makes sure segment has dataframes attribute if it didnt before"177        AppendDataframesToSegment(self.segment, self.df, 'test')178        self.assertTrue(hasattr(self.segment, 'dataframes'))179    def test_dataframe_object_is_added(self):180        "Makes sure dataframe object is added to dataframes"181        AppendDataframesToSegment(self.segment, self.df, 'test')...

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