docs: def draw(self, **kwargs):
          """
          Draws the heatmap of the ranking matrix of variables.
          """
          # Set the axes aspect to be equal
          self.ax.set_aspect("equal")
  
          # Generate a mask for the upper triangle
          mask = np.zeros_like(self.ranks_, dtype=np.bool)
          mask[np.triu_indices_from(mask)] = True
  
          # Draw the heatmap
          # TODO: Move mesh to a property so the colorbar can be finalized
          data = np.ma.masked_where(mask, self.ranks_)
          mesh = self.ax.pcolormesh(data, cmap=self.colormap, vmin=-1, vmax=1)
  
          # Set the Axis limits
          self.ax.set(
              xlim=(0, data.shape[1]), ylim=(0, data.shape[0])
          )
  
          # Add the colorbar
          cb = self.ax.figure.colorbar(mesh, None, self.ax)
          cb.outline.set_linewidth(0)
  
          # Reverse the rows to get the lower left triangle
          self.ax.invert_yaxis()
  
          # Add ticks and tick labels
          self.ax.set_xticks(np.arange(len(self.ranks_)) + 0.5)
          self.ax.set_yticks(np.arange(len(self.ranks_)) + 0.5)
          if self.show_feature_names_:
              self.ax.set_xticklabels(self.features_, rotation=90)
              self.ax.set_yticklabels(self.features_)
          else:
              self.ax.set_xticklabels([])
              self.ax.set_yticklabels([])