code: def signal_info(self):
      lSignal = self.mTrend.mSignalFrame[self.mOriginalSignal]
      lStr1 = "SignalVariable='" + self.mOriginalSignal + "'"
      lStr1 += (
          " Min="
          + str(np.min(lSignal))
          + " Max="
          + str(np.max(lSignal))
          + " "
      )
      lStr1 += (
          " Mean="
          + str(np.mean(lSignal))
          + " StdDev="
          + str(np.std(lSignal))
      )
      lSignal = self.mTrend.mSignalFrame[self.mSignal]
      lStr2 = "TransformedSignalVariable='" + self.mSignal + "'"
      lStr2 += (
          " Min="
          + str(np.min(lSignal))
          + " Max="
          + str(np.max(lSignal))
          + " "
      )
      lStr2 += (
          " Mean="
          + str(np.mean(lSignal))
          + " StdDev="
          + str(np.std(lSignal))
      )
      return (lStr1, lStr2)
  
imports: import pandas
  import numpy
  from .None import PredictionIntervals
  from .None import Plots
  from .None import Perf
  from .None import Utils
label_desc: Use image node_id 2 for calling the cTimeSeriesModel obj's underlying member method code with example usage: obj.signal_info() and returns: lStr1,  lStr2