class_docstr: A dlm module containing all plot methods
      
docstr: "turn off" Operation for the dlm plotting options.
  
  Args:
      switch: The key word to switch off. 
  
              'filtered plot', 'filter' to not plot filtered results
  
              'smoothed plot', 'smooth' to not plot smoothed results
  
              'predict plot', 'predict', to not plot one-step ahead
              results
  
              'confidence interval', 'confierence', 'CI'
              to not plot CI's
  
              'data points', 'data', 'data point' to not
              plot original data
  
              'multiple', 'separate' to not plot results
              in separate figures
  
              'fitted dots', 'fitted' to not plot fitted
              results with dots
docstr_tok: ["``","turn","off","''","Operation","for","the","dlm","plotting","options",".","Args",":","switch",":","The","key","word","to","switch","off",".","'filtered","plot","'",",","'filter","'","to","not","plot","filtered","results","'smoothed","plot","'",",","'smooth","'","to","not","plot","smoothed","results","'predict","plot","'",",","'predict","'",",","to","not","plot","one-step","ahead","results","'confidence","interval","'",",","'confierence","'",",","'CI'","to","not","plot","CI's","'data","points","'",",","'data","'",",","'data","point","'","to","not","plot","original","data","'multiple","'",",","'separate","'","to","not","plot","results","in","separate","figures","'fitted","dots","'",",","'fitted","'","to","not","plot","fitted","results","with","dots"]
code: def turnOff(self, switch):
      """ "turn off" Operation for the dlm plotting options.
  
      Args:
          switch: The key word to switch off. \n
                  'filtered plot', 'filter' to not plot filtered results\n
                  'smoothed plot', 'smooth' to not plot smoothed results\n
                  'predict plot', 'predict', to not plot one-step ahead
                  results\n
                  'confidence interval', 'confierence', 'CI'
                  to not plot CI's\n
                  'data points', 'data', 'data point' to not
                  plot original data\n
                  'multiple', 'separate' to not plot results
                  in separate figures\n
                  'fitted dots', 'fitted' to not plot fitted
                  results with dots
  
      """
      if switch in set(
          ["filtered plot", "filter", "filtered results", "filtering"]
      ):
          self.options.plotFilteredData = False
      elif switch in set(
          ["smoothed plot", "smooth", "smoothed results", "smoothing"]
      ):
          self.options.plotSmoothedData = False
      elif switch in set(
          ["predict plot", "predict", "predicted results", "prediction"]
      ):
          self.options.plotPredictedData = False
      elif switch in set(
          ["confidence interval", "confidence", "interval", "CI", "ci"]
      ):
          self.options.showConfidenceInterval = False
      elif switch in set(
          ["data points", "data point", "points", "data"]
      ):
          self.options.showDataPoint = False
      elif switch in set(
          ["multiple", "multiple plots", "separate plots", "separate"]
      ):
          self.options.separatePlot = False
      elif switch in set(
          ["fitted dots", "fitted results", "fitted data", "fitted"]
      ):
          self.options.showFittedPoint = False
      else:
          raise NameError("no such options")
  
file_path: pydlm/pydlm/plot/dlmPlotMod.py
imports: from pydlm.core._dlm import _dlm
label_desc: Use image node_id 3 for calling the dlmPlotModule obj's underlying member method code with example usage: obj.turnOff(switch) without return types