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.

def plot_correlated_groups(self, group=None, n_genes=5, **kwargs):
        """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.
        """
        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)