moabb.analysis.plotting.score_plot#
- moabb.analysis.plotting.score_plot(data, pipelines=None, orientation='vertical', chance_level=None)[source]#
Plot scores for all pipelines and all datasets.
- Parameters:
data (DataFrame) – Output of
Results.to_dataframe().pipelines (list of str | None) – Pipelines to include in this plot.
orientation (str, default="vertical") – Plot orientation, one of
["vertical", "v", "horizontal", "h"].chance_level (None, float, or dict, default=None) –
Chance level to display on the plot.
None: defaults to 0.5 for all datasets (backward compatible).float: uniform chance level for all datasets.dict: per-dataset chance levels. Can be a simple{dataset_name: float}mapping or the output ofchance_by_chance(). When the dict includes'adjusted'entries, adjusted significance threshold lines are also drawn.
- Returns:
fig (Figure) – Pyplot handle.
color_dict (dict) – Dictionary with the facecolor for each pipeline.
