code: def _combine_mean(pred_results, local_results, axis=0):
      local_sum_data, local_count_data = local_results
  
      if pred_results is not None:
          local_sum_data, local_count_data = _add_pred_results(
              pred_results, local_results, axis=axis
          )
      return local_sum_data / local_count_data
  
imports: from collections import namedtuple
  from functools import partial
  import numpy
  import pandas
  from ....None import opcodes
  from ....serialization.serializables import BoolField
  from ..aggregation import BaseDataFrameExpandingAgg
label_desc: Use image node_id 4 for calling a global function with example usage: _combine_mean(pred_results, local_results, axis) and returns: unknown