How to use the pandasticsearch.types.Row function in pandasticsearch

def test_collect(self):
        query = Select()
        query._values = [{'a': 1}, {'a': 2}]
        self.assertEqual(query.collect(), [Row(a=1), Row(a=2)])

def test_row(self):
        row = Row(a=1, b='你好,世界')
        print(repr(row))

        self.assertEqual(row['a'], 1)
        self.assertEqual(row['b'], '你好,世界')
        self.assertEqual(row.as_dict(), {'a': 1, 'b': '你好,世界'})

def __getitem__(self, name):
        try:
            idx = self._fields.index(name)
            return super(Row, self).__getitem__(idx)
        except IndexError:
            raise KeyError(name)
        except ValueError:
            raise ValueError(name)

def __repr__(self):
        return 'Row(' + ','.join(
            ['{0}={1}'.format(k, Row._stringfy(v)) for k, v in zip(self._fields, tuple(self))]) + ')'

def collect(self):
        """
        Returns all the records as a list of Row.

        :return: list of :class:`Row `

        >>> df.collect()
        [Row(age=2, name='Alice'), Row(age=5, name='Bob')]
        """
        query = self._execute()
        return [Row(**v) for v in query.result]