class_docstr: A dlm module containing all plot methods
      
docstr: "turn on" Operation for the dlm plotting options.
  
  Args:
      switch: The key word to switch on. 
  
              'filtered plot', 'filter' to plot filtered results
  
              'smoothed plot', 'smooth' to plot smoothed results
  
              'predict plot', 'predict', to plot one-step ahead results
  
              'confidence interval', 'confierence', 'CI' to plot CI's
  
              'data points', 'data', 'data point' to plot original data
  
              'multiple', 'separate' to plot results in separate
              figures
  
              'fitted dots', 'fitted' to plot fitted results with dots
docstr_tok: ["``","turn","on","''","Operation","for","the","dlm","plotting","options",".","Args",":","switch",":","The","key","word","to","switch","on",".","'filtered","plot","'",",","'filter","'","to","plot","filtered","results","'smoothed","plot","'",",","'smooth","'","to","plot","smoothed","results","'predict","plot","'",",","'predict","'",",","to","plot","one-step","ahead","results","'confidence","interval","'",",","'confierence","'",",","'CI","'","to","plot","CI's","'data","points","'",",","'data","'",",","'data","point","'","to","plot","original","data","'multiple","'",",","'separate","'","to","plot","results","in","separate","figures","'fitted","dots","'",",","'fitted","'","to","plot","fitted","results","with","dots"]
code: def turnOn(self, switch):
      """ "turn on" Operation for the dlm plotting options.
  
      Args:
          switch: The key word to switch on. \n
                  'filtered plot', 'filter' to plot filtered results\n
                  'smoothed plot', 'smooth' to plot smoothed results\n
                  'predict plot', 'predict', to plot one-step ahead results\n
                  'confidence interval', 'confierence', 'CI' to plot CI's\n
                  'data points', 'data', 'data point' to plot original data\n
                  'multiple', 'separate' to plot results in separate
                  figures\n
                  'fitted dots', 'fitted' to plot fitted results with dots
      """
      if switch in set(
          ["filtered plot", "filter", "filtered results", "filtering"]
      ):
          self.options.plotFilteredData = True
      elif switch in set(
          ["smoothed plot", "smooth", "smoothed results", "smoothing"]
      ):
          self.options.plotSmoothedData = True
      elif switch in set(
          ["predict plot", "predict", "predicted results", "prediction"]
      ):
          self.options.plotPredictedData = True
      elif switch in set(
          ["confidence interval", "confidence", "interval", "CI", "ci"]
      ):
          self.options.showConfidenceInterval = True
      elif switch in set(
          ["data points", "data point", "points", "data"]
      ):
          self.options.showDataPoint = True
      elif switch in set(
          ["multiple", "multiple plots", "separate plots", "separate"]
      ):
          self.options.separatePlot = True
      elif switch in set(
          ["fitted dots", "fitted results", "fitted data", "fitted"]
      ):
          self.options.showFittedPoint = True
      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 2 for calling the dlmPlotModule obj's underlying member method code with example usage: obj.turnOn(switch) without return types