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How to use infer_dataframe_statistics method in pandera

Best Python code snippet using pandera_python

schema_statistics.py

Source:schema_statistics.py

...4import pandas as pd5from . import dtypes6from .checks import Check7from .engines import pandas_engine8def infer_dataframe_statistics(df: pd.DataFrame) -> Dict[str, Any]:9    """Infer column and index statistics from a pandas DataFrame."""10    nullable_columns = df.isna().any()11    inferred_column_dtypes = {col: _get_array_type(df[col]) for col in df}12    column_statistics = {13        col: {14            "dtype": dtype,15            "nullable": bool(nullable_columns[col]),16            "checks": _get_array_check_statistics(df[col], dtype),17        }18        for col, dtype in inferred_column_dtypes.items()19    }20    return {21        "columns": column_statistics if column_statistics else None,22        "index": infer_index_statistics(df.index),...

schema_inference.py

Source:schema_inference.py

...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        },58        index=_create_index(df_statistics["index"]),59        coerce=True,60    )61    schema._is_inferred = True62    return schema...

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