how to filter None in Row Type Pyflink

Question

I'm using Pyflink and was wondering if there is more Generic way to filter None value or handle none json format.

# main():
    try:
        data_stream = data_stream.map(transform, output_type=Types.ROW([Types.STRING(), Types.STRING(), Types.STRING(), Types.STRING(), Types.STRING(), Types.STRING(), Types.STRING()]))
        data_stream = data_stream.filter(lambda x: x != Row(None, None, None, None, None, None, None))
        # Debugging purpose
        data_stream.print()

# transform()
def transform(value):
    dlq_producer = KafkaProducer(acks=0, compression_type='gzip',
    bootstrap_servers=['192.168.9.221:9091','192.168.9.221:9092','192.168.9.221:9093'],
    value_serializer=lambda x: x.encode('utf-8'))
    try:
        json_dict = json.loads(value)
        mapper_dict = {
                'H1': 'symbol',
                'H2': 'exchange',
                'H3': 'security_type',
                'D2124': 'performance_id',
                'S12': 'company_name',
                'S9': 'currency',
                'S19': 'isin' # optional
        }
        json_dict = dict((mapper_dict[key], value) for (key,value) in json_dict.items())

        if 'isin' not in json_dict:
                json_dict['isin'] = 'null'

        value_list = list(json_dict.values())

        return Row(str(value_list[0]), str(value_list[1]), str(value_list[2]), str(value_list[3]), str(value_list[4]), str(value_list[5]), str(value_list[6]))
    except Exception as e:
        print('data is not JSON Format: ' + str(value))
        dlq_producer.send('dlq_topic', value=value)
        print('msg sent to ms_equity_dlq_topic')
        return Row(None, None, None, None, None, None, None)

I am trying to avoid using Row(None, None, None, None, None, None, None) and find more Generic way to filter this