code: def iterpoints(resp: dict, parser: Optional[Callable] = None) -> Iterator[Any]:
      
      for statement in resp['results']:
          if 'series' not in statement:
              continue
          for series in statement['series']:
              if parser is None:
                  return (x for x in series['values'])
              elif 'meta' in inspect.signature(parser).parameters:
                  meta = {k: series[k] for k in series if k != 'values'}
                  meta['statement_id'] = statement['statement_id']
                  return (parser(*x, meta=meta) for x in series['values'])
              else:
                  return (parser(*x) for x in series['values'])
      return iter([])
docs: Iterates a response JSON yielding data point by point.
  
      Can be used with both regular and chunked responses.
      By default, returns just a plain list of values representing each point,
      without column names, or other metadata.
  
      In case a specific format is needed, an optional ``parser`` argument can be passed.
      ``parser`` is a function/callable that takes data point values
      and, optionally, a ``meta`` parameter containing which takes a
      dictionary containing all or a subset of the following:
      ``{'columns', 'name', 'tags', 'statement_id'}``.
  
      Sample parser functions:
  
      .. code:: python
  
         # Function optional meta argument
         def parser(*x, meta):
             return dict(zip(meta['columns'], x))
  
         # Namedtuple (callable)
         from collections import namedtuple
         parser = namedtuple('MyPoint', ['col1', 'col2', 'col3'])
  
  
      :param resp: Dictionary containing parsed JSON (output from InfluxDBClient.query)
      :param parser: Optional parser function/callable
      :return: Generator object