spapros.ev.ProbesetEvaluator.plot_summary

ProbesetEvaluator.plot_summary(set_ids='all', **plot_kwargs)

Plot heatmap of summary metrics

See our basic evaluation tutorial for descriptions of each metric.

Parameters:

  • set_ids (Union[str, List[str]]) – IDs of the current probesets or “all”. Check out ProbesetEvaluator.summary_results for available sets.

  • **plot_kwargs – Keyword arguments for summary_table().

Return type:

None

Example

import spapros as sp
adata = sp.ut.get_processed_pbmc_data()
selections = sp.se.select_reference_probesets(
    adata, methods=["PCA", "DE", "HVG", "random"], n=30, verbosity=0)
evaluator = sp.ev.ProbesetEvaluator(adata, verbosity=0, results_dir=None)
for set_id, df in selections.items():
    gene_set = df[df["selection"]].index.to_list()
    evaluator.evaluate_probeset(gene_set, set_id=set_id)

evaluator.plot_summary(set_ids=["PCA", "DE", "HVG", "random (seed=0)"])
../_images/Evaluator_plot_summary.png