How to use the pymapd._utils.date_to_seconds function in pymapd

def thrift_cast(data, mapd_type, scale=0):
    """Cast data type to the expected thrift types"""

    if mapd_type == 'TIMESTAMP':
        return datetime_to_seconds(data)
    elif mapd_type == 'TIME':
        return pd.Series(time_to_seconds(x) for x in data)
    elif mapd_type == 'DATE':
        data = date_to_seconds(data)
        data = data.fillna(mapd_to_na[mapd_type])
        return data.astype(int)
    elif mapd_type == 'BOOL':
        # fillna before converting to int, since int cols
        # in Pandas do not support None or NaN
        data = data.fillna(mapd_to_na[mapd_type])
        return data.astype(int)
    elif mapd_type == 'DECIMAL':
        # Multiply by 10^scale
        data = data * 10**scale
        # fillna and convert to int
        data = data.fillna(mapd_to_na[mapd_type])
        return data.astype(int)