@convert.register(pd.DataFrame, SAS7BDAT, cost=4.0)
def sas_to_DataFrame(s, dshape=None, **kwargs):
    df = s.to_data_frame()
    if any(typ is (date_, datetime_) for typ in dshape.measure.types):
        df = coerce_datetimes(df)
    names = [col.decode('utf-8') for col in s.column_names]
    df = df[names]  # Reorder names to match sasfile
    return df
dataset/ETHPy150Open blaze/odo/odo/backends/sas.py/sas_to_DataFrame/operator `in` -> `is`