plots.py 文件源码

def tm_metrics_plot(tm_metrics, ordered_genomes, biotypes, transcript_biotype_map, tm_coverage_tgt, tm_identity_tgt):
    """plots for transMap coverage, identity"""
    tm_iter = zip(*[['transMap Coverage', 'transMap Identity'],
                    [tm_coverage_tgt, tm_identity_tgt]])
    for mode, tgt in tm_iter:
        df = dict_to_df_with_biotype(tm_metrics[mode], transcript_biotype_map)
        df = pd.melt(df, id_vars='biotype', value_vars=ordered_genomes).dropna()
        df.columns = ['biotype', 'genome', mode]
        cov_ident_plot(biotypes, ordered_genomes, mode, tgt, df, x=mode, y='genome')