plot_all_scores

plot_all_scores(all_scores: dict[str, ndarray], conds: list[str], idxs: dict[str, list[int]], colors: list[list[float]], suptitle: str = None, fig: Figure = None, axs: Axes = None, ylims: tuple[float, float] = (0.1, 0.8), **plot_kwargs) → tuple[Figure, Axes]

Plot scores for different conditions and categories.

This function creates plots of scores for different experimental conditions and categories, setting up appropriate axes and labels.

Parameters:

• all_scores (dict[str, np.ndarray]) – Dictionary mapping score names to score arrays.

• conds (list[str]) – List of condition names to plot.

• idxs (dict[str, list[int]]) – Dictionary mapping category names to indices.

• colors (list[list[float]]) – List of colors for each category.

• suptitle (str, optional) – Super title for the figure, by default None.

• fig (plt.Figure, optional) – Existing figure to plot on, by default None.

• axs (plt.Axes, optional) – Existing axes to plot on, by default None.

• ylims (tuple[float, float], optional) – Y-axis limits, by default (0.1, 0.8).

• **plot_kwargs – Additional keyword arguments passed to plot_dist.

Returns:

The figure and axes objects containing the plots.

Return type:

tuple[plt.Figure, plt.Axes]