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How to use infer_dataframe_schema method in pandera

Best Python code snippet using pandera_python

test_schema_inference.py

Source:test_schema_inference.py

...57@pytest.mark.parametrize(58    "multi_index",59    [False, True],60)61def test_infer_dataframe_schema(multi_index: bool) -> None:62    """Test dataframe schema is correctly inferred."""63    dataframe = _create_dataframe(multi_index=multi_index)64    schema = schema_inference.infer_dataframe_schema(dataframe)65    assert isinstance(schema, pa.DataFrameSchema)66    if multi_index:67        assert isinstance(schema.index, pa.MultiIndex)68    else:69        assert isinstance(schema.index, pa.Index)70    with pytest.warns(71        UserWarning,72        match="^This .+ is an inferred schema that hasn't been modified",73    ):74        schema.validate(dataframe)75    # modifying an inferred schema should set _is_inferred to False76    schema_with_added_cols = schema.add_columns({"foo": pa.Column(pa.String)})77    assert schema._is_inferred78    assert not schema_with_added_cols._is_inferred...

schema_inference.py

Source:schema_inference.py

...16    :returns: DataFrameSchema or SeriesSchema17    :raises: TypeError if pandas_obj is not expected type.18    """19    if isinstance(pandas_obj, pd.DataFrame):20        return infer_dataframe_schema(pandas_obj)21    elif isinstance(pandas_obj, pd.Series):22        return infer_series_schema(pandas_obj)23    else:24        raise TypeError(25            "pandas_obj type not recognized. Expected a pandas DataFrame or "26            f"Series, found {type(pandas_obj)}"27        )28def _create_index(index_statistics):29    index = [30        Index(31            properties["dtype"],32            checks=parse_check_statistics(properties["checks"]),33            nullable=properties["nullable"],34            name=properties["name"],35        )36        for properties in index_statistics37    ]38    if len(index) == 1:39        index = index[0]  # type: ignore40    else:41        index = MultiIndex(index)  # type: ignore42    return index43def infer_dataframe_schema(df: pd.DataFrame) -> DataFrameSchema:44    """Infer a DataFrameSchema from a pandas DataFrame.45    :param df: DataFrame object to infer.46    :returns: DataFrameSchema47    """48    df_statistics = infer_dataframe_statistics(df)49    schema = DataFrameSchema(50        columns={51            colname: Column(52                properties["dtype"],53                checks=parse_check_statistics(properties["checks"]),54                nullable=properties["nullable"],55            )56            for colname, properties in df_statistics["columns"].items()57        },...

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