4b1f799c8403626ff56c7bf23fb1fbdb79dcb015,scanpy/plotting/_tools/__init__.py,,_rank_genes_groups_plot,#Any#Any#Any#Any#Any#Any#Any#Any#,258

Before Change

    // make a list of tuples containing the index for the start gene and the
    // end gene that should be labelled
    group_positions = [(x, x + n_genes - 1) for x in range(0, n_genes * len(group_names), n_genes)]

    // sum(list, []) is used to flatten the gene list
    gene_names = sum([list(adata.uns[key]["names"][x][:n_genes]) for x in group_names], [])

After Change

    gene_names = []
    start = 0
    group_positions = []
    group_names_valid = []
    for group in group_names:
        // get all genes that are "not-nan"
        genes_list = [gene for gene in adata.uns[key]["names"][group] if not pd.isnull(gene)][:n_genes]
        if len(genes_list) == 0:
            logg.warn("No genes found for group {}".format(group))
            continue
        gene_names.extend(genes_list)
        end = start + len(genes_list)
        group_positions.append((start, end -1))
        group_names_valid.append(group)
        start = end

    group_names = group_names_valid
    if plot_type == "dotplot":
        from .._anndata import dotplot
        dotplot(adata, gene_names, groupby, var_group_labels=group_names,

Instances