code: def finalize(self):
          
  
          # Set the title
          self.set_title((
              "Silhouette Plot of {} Clustering for {} Samples in {} Centers"
          ).format(
              self.name, self.n_samples_, self.n_clusters_
          ))
  
          # Set the X and Y limits
          # The silhouette coefficient can range from -1, 1;
          # but here we scale the plot according to our visualizations
  
          # l_xlim and u_xlim are lower and upper limits of the x-axis,
          # set according to our calculated maximum and minimum silhouette score along with necessary padding
          l_xlim = max(-1, min(-0.1, round(min(self.silhouette_samples_) - 0.1, 1)))
          u_xlim = min(1, round(max(self.silhouette_samples_) + 0.1, 1))
          self.ax.set_xlim([l_xlim, u_xlim])
  
          # The (n_clusters_+1)*10 is for inserting blank space between
          # silhouette plots of individual clusters, to demarcate them clearly.
          self.ax.set_ylim([0, self.n_samples_ + (self.n_clusters_ + 1) * 10])
  
          # Set the x and y labels
          self.ax.set_xlabel("silhouette coefficient values")
          self.ax.set_ylabel("cluster label")
  
          # Set the ticks on the axis object.
          self.ax.set_yticks([])  # Clear the yaxis labels / ticks
          self.ax.xaxis.set_major_locator(ticker.MultipleLocator(0.1))
docs: Prepare the figure for rendering by setting the title and adjusting
          the limits on the axes, adding labels and a legend.