partipy.plot_bootstrap_variance

partipy.plot_bootstrap_variance#

partipy.plot_bootstrap_variance(adata, summary_method='median', result_filters=None)#

Visualize archetype stability as a function of the number of archetypes using cached bootstrap results.

Parameters:

  • adata (anndata.AnnData) – Annotated data object containing bootstrap results in adata.uns["AA_bootstrap"].

  • summary_method (str, default "median") – Summary statistic to display as a dotted line across archetype counts. Must be one of {"median", "max", "mean"}.

  • result_filters (Mapping[str, Any] | None, default None) – Filters forwarded to _resolve_aa_result to select the AA configuration for which bootstrap results are summarized. If None, a configuration with matching bootstrap data must exist uniquely.

Return type:

ggplot

Returns:

pn.ggplot A plot of per-archetype variance alongside the selected summary statistic across archetype counts.

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