- bare_data = [0.0 if np.isnan(sample.avg) else sample
- for _, sample in data.iteritems()]
- # TODO: Put analogous iterator into jumpavg library.
- groups = BitCountingClassifier().classify(bare_data)
- groups.reverse() # Just to use .pop() for FIFO.
+ bare_data = [0.0 if np.isnan(sample) else sample
+ for sample in data.itervalues()]
+ # TODO: Make BitCountingGroupList a subclass of list again?
+ group_list = jumpavg.classify(bare_data).group_list
+ group_list.reverse() # Just to use .pop() for FIFO.