class_docstr: Removes anomalous spikes from data, replacing with nearby values
class_docstr_tok: ["Removes","anomalous","spikes","from","data",",","replacing","with","nearby","values"]
code: def processData(self, data):
      # print "DENOISE"
      s = self.stateGroup.state()
      return functions.denoise(data, **s)
  
imports: import numpy
  from ...None import Point, PolyLineROI
  from ...None import functions
  from ...None import metaarray
  from .None import functions
  from .common import CtrlNode, PlottingCtrlNode, metaArrayWrapper
label_desc: Use image node_id 1 for calling the Denoise obj's underlying member method code with example usage: obj.processData(data) and returns: functions