code: def plot_correlated_groups(self, group=None, n_genes=5, **kwargs):
          
          geneID_groups = self.adata.uns['gene_groups']
          if(group is None):
              for i in range(len(geneID_groups)):
                  self.show_gene_expression(geneID_groups[i][0], **kwargs)
          else:
              for i in range(n_genes):
                  self.show_gene_expression(geneID_groups[group][i], **kwargs)
docs: Plots orthogonal expression patterns.
  
          In the default mode, plots orthogonal gene expression patterns. A
          specific correlated group of genes can be specified to plot gene
          expression patterns within that group.
  
          Parameters
          ----------
          group - int, optional, default None
              If specified, display the genes within the desired correlated
              group. Otherwise, display the top ranked gene within each distinct
              correlated group.
  
          n_genes - int, optional, default 5
              The number of top ranked genes to display within a correlated
              group if 'group' is specified.
  
          **kwargs -
              All keyword arguments in 'show_gene_expression' and 'scatter'
              are eligible.