common.py 文件源码

def clustering_plot_func(chart, sample_properties, sample_data, plot_func, args=[], kwargs={}):
    if len(sample_properties['genomes']) > 1:
        return None

    analysis = sample_data.analysis
    if analysis is None:
        return None

    new_charts = []
    for clustering_key, clustering in analysis.clusterings.iteritems():
        kwargs['clustering'] = clustering
        kwargs['original_cluster_sizes'] = sample_data.original_cluster_sizes[clustering_key]
        kwargs['diff_expr'] = analysis.differential_expression[clustering_key]
        new_chart = plot_func(copy.deepcopy(chart), *args, **kwargs)
        if new_chart is not None:
            new_chart['filters'] = {ws_gex_constants.CLUSTERS_FILTER_TITLE: clustering.description}
            new_charts.append(new_chart)
    return new_charts