plot

CondensedTree.plot(*, y='distance', leaf_separation=0.8, cmap='viridis', colorbar=True, log_size=False, label_clusters=False, select_clusters=False, selection_palette='tab10', continuation_line_kws=None, connect_line_kws=None, colorbar_kws=None, label_kws=None)

Creates an icicle plot of the condensed tree.

Parameters:

• y (Literal['distance', 'density', 'ranks'], default: 'distance') – The y-axis variable to plot. Can be one of “distance”, “density”, or “ranks”.

• leaf_separation (float, default: 0.8) – A spacing parameter for icicle positioning.

• cmap (str | Colormap, default: 'viridis') – The colormap to use for the segments.

• colorbar (bool, default: True) – Whether to show a colorbar for the cluster size.

• log_size (bool, default: False) – If True, the cluster sizes are plotted on a logarithmic scale.

• label_clusters (bool, default: False) – If True, the cluster labels are plotted on the icicle segments.

• select_clusters (bool, default: False) – If True, the segments representing selected clusters are highlighted with ellipses.

• selection_palette (str | Colormap, default: 'tab10') – A list of colors to highlight selected clusters.

• continuation_line_kws (dict[str, Any] | None, default: None) – Additional keyword arguments for the continuation lines indicating the continuation of root clusters.

• connect_line_kws (dict[str, Any] | None, default: None) – Additional keyword arguments for the connecting lines between segments.

• colorbar_kws (dict[str, Any] | None, default: None) – Additional keyword arguments for the colorbar.

• label_kws (dict[str, Any] | None, default: None) – Additional keyword arguments for the cluster labels.