def fix_data_anomolies_storms()

in datasets/noaa/pipelines/_images/run_csv_transform_kub/csv_transform.py [0:0]

• 22 lines of code
• 1 McCabe index (conditional complexity)

def fix_data_anomolies_storms(df: pd.DataFrame) -> pd.DataFrame:
    logging.info("Cleansing data")
    df["damage_property"] = (
        df["damage_property"]
        .apply(lambda x: shorthand_to_number(x))
        .fillna(0)
        .astype(np.int64)
    )
    df["damage_crops"] = (
        df["damage_crops"]
        .apply(lambda x: shorthand_to_number(x))
        .fillna(0)
        .astype(np.int64)
    )
    df["event_type"] = df["event_type"].apply(lambda x: str(x).lower())
    df["state"] = df["state"].apply(
        lambda x: f"{str.capitalize(x)[0]}{str.lower(x)[1]}"
    )
    df["event_point"] = df["event_point"].apply(
        lambda x: str(x).replace("POINT(nan nan)", "")
    )
    return df