code: def get_metric_statistics(self, period, start_time, end_time, metric_name,
                                namespace, statistics, dimensions=None,
                                unit=None):
          
          params = {'Period' : period,
                    'MetricName' : metric_name,
                    'Namespace' : namespace,
                    'StartTime' : start_time.isoformat(),
                    'EndTime' : end_time.isoformat()}
          self.build_list_params(params, statistics, 'Statistics.member.%d')
          if dimensions:
              self.build_dimension_param(dimensions, params)
          return self.get_list('GetMetricStatistics', params,
                               [('member', Datapoint)])
docs: Get time-series data for one or more statistics of a given metric.
  
          :type period: integer
          :param period: The granularity, in seconds, of the returned datapoints.
                         Period must be at least 60 seconds and must be a multiple
                         of 60. The default value is 60.
  
          :type start_time: datetime
          :param start_time: The time stamp to use for determining the first
                             datapoint to return. The value specified is
                             inclusive; results include datapoints with the
                             time stamp specified.
  
          :type end_time: datetime
          :param end_time: The time stamp to use for determining the last
                           datapoint to return. The value specified is
                           exclusive; results will include datapoints up to
                           the time stamp specified.
  
          :type metric_name: string
          :param metric_name: The metric name.
  
          :type namespace: string
          :param namespace: The metric's namespace.
  
          :type statistics: list
          :param statistics: A list of statistics names Valid values:
                             Average | Sum | SampleCount | Maximum | Minimum
  
          :type dimensions: dict
          :param dimensions: A dictionary of dimension key/values where
                             the key is the dimension name and the value
                             is either a scalar value or an iterator
                             of values to be associated with that
                             dimension.
          :rtype: list