code: def get_timeseries_values_for_indicators(
          self, resolution: str = "month", months: Iterable[int] = range(6, 9)
      ):
          
          if resolution == "month":
              funcs = [
                  partial(get_indicator_value, month=month) for month in months
              ]
          else:
              raise NotImplementedError(
                  "Currently, only the 'month' resolution is supported."
              )
  
          for n in self.nodes(data=True):
              for indicator in n[1]["indicators"].values():
                  indicator.timeseries = [
                      func(indicator, year="2017")[0] for func in funcs
                  ]
                  if len(set(indicator.timeseries)) == 1:
                      indicator.timeseries = None
docs: Attach timeseries to indicators, for performing Bayesian inference.