                                           flatten_outliers=self.vars["outliers"].get(),
                                           is_totals=self.is_totals)
          logger.debug("Compiled Display Data")
          return True
  
      def check_valid_selection(self, loss_keys, selections):
 
</s> remove             msg = "No data to display. Not refreshing"
            logger.debug(msg)
            print(msg)
 </s> add             return False
        return True

    def check_valid_data(self):
        """ Check that the selections holds valid data to display
            NB: len-as-condition is used as data could be a list or a numpy array
        """
        logger.debug("Validating data. %s",
                     {key: len(val) for key, val in self.display_data.stats.items()})
        if any(len(val) == 0  # pylint:disable=len-as-condition
               for val in self.display_data.stats.values()): </s> remove         message = "{}  |  {}  |  {}  |  {}".format(processtime,
                                                   tqdm["rte"],
                                                   tqdm["itm"],
                                                   tqdm["pct"])

        current, total = tqdm["itm"].split("/")
        position = int((float(current) / float(total)) * 1000)
 </s> add         message = "{}{}  |  {}  |  {}  |  {}".format(description,
                                                     processtime,
                                                     tqdm["rte"],
                                                     tqdm["itm"],
                                                     tqdm["pct"])

        position = tqdm["pct"].replace("%", "")
        position = int(position) if position.isdigit() else 0 </s> remove             if region == "tree":
                self.data_popup()
 </s> add             if region == "tree" and self.check_valid_data(values):
                datapoints = int(values[self.columns.index("iterations")])
                self.data_popup(datapoints)

    def check_valid_data(self, values):
        """ Check there is valid data available for popping up a graph """
        col_indices = [self.columns.index("batch"), self.columns.index("iterations")]
        for idx in col_indices:
            if (isinstance(values[idx], int) or values[idx].isdigit()) and int(values[idx]) == 0:
                logger.warning("No data to graph for selected session")
                return False
        return True

    def data_popup(self, datapoints):
        """ Pop up a window and control it's position
        if not self.check_valid_data():
            logger.warning("No valid data to display. Not refreshing")
            return False
                                           flatten_outliers=self.vars["outliers"].get(),
                                           is_totals=self.is_totals)
        if not self.check_valid_data():
            logger.warning("No valid data to display. Not refreshing")
            return False
          logger.debug("Compiled Display Data")
          return True
  
      def check_valid_selection(self, loss_keys, selections):
keep add keep keep keep keep
 GUI Fixups

- Analysis: Handle missing session Ids
- Analysis: Handle invalid data selections
- Analysis: Don't update graph on check box selection
- Analysis: Add cursor events to analysis tab
- Analysis: Change default graph view
- Training: Prevent GUI from attempting to close graphs which do not exist
- Extract/Convert: Make file extensions case-insensitive for preview
- Progress bar: Make compatible for downloads
- Progress bar: Add TQDM Description to progress bar stats text 
lib/gui/display_analysis.py