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How to use test_typed_dataframe method in pandera

Best Python code snippet using pandera_python

test_convert_graph.py

Source:test_convert_graph.py

...150        ],151    )152    assert [g.get_edge_dst(i) for i in range(g.num_edges())] == [1, 2, 0]153    assert list(g.get_edge_property("prop").to_numpy()) == [1, 2, 3]154def test_typed_dataframe():155    df = pandas.DataFrame(156        dict(source=[0, 1, 10], destination=[1, 2, 0], prop=[1, 2, 3], types=pandas.Categorical(["A", "B", "A"]))157    )158    g = from_edge_list_dataframe(159        df[["source", "destination", "prop"]], edge_types=EntityTypeArray.from_type_names(df["types"])160    )161    assert [g.get_edge_dst(i) for i in range(g.num_edges())] == [1, 2, 0]162    assert [str(g.get_edge_type(i)) for i in range(g.num_edges())] == ["A", "B", "A"]163def test_from_csr():164    pg = from_csr(np.array([1, 1], dtype=np.uint32), np.array([1], dtype=np.uint64))165    assert pg.num_nodes() == 2166    assert pg.num_edges() == 1167    # assert list(pg.out_edge_ids(0)) == [0]168    assert pg.get_edge_dst(0) == 1...

test_pydantic.py

Source:test_pydantic.py

...26    """Test pydantic model with a SeriesSchema, Column and Index."""27    pa_series_schema: Optional[pa.SeriesSchema]28    pa_column: Optional[pa.Column]29    pa_index: Optional[pa.Index]30def test_typed_dataframe():31    """Test that typed DataFrame is compatible with pydantic."""32    valid_df = pd.DataFrame({"str_col": ["hello", "world"]})33    assert isinstance(TypedDfPydantic(df=valid_df), TypedDfPydantic)34    invalid_df = pd.DataFrame({"str_col": ["hello", "hello"]})35    with pytest.raises(ValidationError):36        TypedDfPydantic(df=invalid_df)37def test_invalid_typed_dataframe():38    """Test that an invalid typed DataFrame is recognized by pydantic."""39    with pytest.raises(ValidationError):40        TypedDfPydantic(df=1)41    class InvalidSchema(pa.SchemaModel):42        """Test SchemaModel."""43        str_col = pa.Field(unique=True)  # omit annotation44    class PydanticModel(BaseModel):...

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