              hlp = "Save display data to csv"
          elif control == "avgiterations":
              hlp = "Number of data points to sample for rolling average"
          elif control == "outliers":
              hlp = "Flatten data points that fall more than 1 standard " \
                    "deviation from the mean to the mean value."
          elif control == "avg":
 
</s> remove             to raw
 </s> add             to smoothed </s> remove         for item in ("raw", "trend", "avg", "outliers"):
 </s> add         self.add_section(frame, "Display")
        for item in ("raw", "trend", "avg", "smoothed", "outliers"): </s> remove                 default = "500"

            entframe = ttk.Frame(frame)
            entframe.pack(fill=tk.X, pady=5, padx=5, side=tk.TOP)
            lbl = ttk.Label(entframe, text=text, anchor=tk.W)
            lbl.pack(padx=(0, 2), side=tk.LEFT)

            ctl = ttk.Entry(entframe, width=4, justify=tk.RIGHT)
            ctl.pack(side=tk.RIGHT, anchor=tk.W)
            ctl.insert(0, default)

            hlp = self.set_help(item)
            Tooltip(entframe, text=hlp, wraplength=200)

            self.vars[item] = ctl
        logger.debug("Built Entry Boxes")
 </s> add                 default = 500
                rounding = 25
                min_max = (25, 2500)
            elif item == "smoothamount":
                dtype = float
                text = "Smoothing Amount:"
                default = 0.90
                rounding = 2
                min_max = (0, 0.99)

            ctl = ControlBuilder(frame,
                                 text,
                                 dtype,
                                 default,
                                 label_width=19,
                                 rounding=rounding,
                                 min_max=min_max,
                                 helptext=self.set_help(item))
            self.vars[item] = ctl.tk_var
        logger.debug("Built Sliders")
        elif control == "smoothamount":
            hlp = "Set the smoothing amount. 0 is no smoothing, 0.99 is maximum smoothing"
              hlp = "Save display data to csv"
          elif control == "avgiterations":
              hlp = "Number of data points to sample for rolling average"
        elif control == "smoothamount":
            hlp = "Set the smoothing amount. 0 is no smoothing, 0.99 is maximum smoothing"
          elif control == "outliers":
              hlp = "Flatten data points that fall more than 1 standard " \
                    "deviation from the mean to the mean value."
          elif control == "avg":
keep keep add keep keep keep keep
 Graphing Updates

Add smoothing to Analysis and Training Graph
Replace Trend with Smoothing on Training Graph
Add Smoothing Parameter to Training Graph 
lib/gui/display_analysis.py