mne_denoise.viz.plot_metric_slopes#

mne_denoise.viz.plot_metric_slopes(data, metric_cols=None, metric_labels=None, metric_specs=None, group_col='group', subject_col='subject', group_order=None, group_colors=None, group_labels=None, reference_lines=None, suptitle=None, title='Paired Subject-Level Comparison', fname=None, show=True)[source]#

Plot subject-level paired trajectories for one or more metrics.

Parameters:

datamapping of str to array-like: Columnar mapping with subject/group identifiers and metric columns.
metric_colslist of str | None: Metric columns to plot. Used only when metric_specs is None.
metric_labelslist of str | None: Display labels aligned with metric_cols.
metric_specslist[tuple[str, str]] | None: Explicit list of (metric_col, metric_label) pairs.
group_colstr: Grouping column name.
subject_colstr: Subject identifier column name.
group_orderlist of str | None, default=None: Optional group order. If None, first-seen order is used.
group_colorsdict | None, default=None: Optional color overrides keyed by group.
group_labelsdict | None, default=None: Optional display-label overrides keyed by group.
reference_linesdict | None: Optional horizontal reference lines per metric: {metric_col: [(y_value, style_dict), ...]}.
suptitlestr | None, default=None: Figure-level title override.
titlestr | None, default=”Paired Subject-Level Comparison”: Axes title used when suptitle is not provided.
fnamepath-like | None: Optional output path.
showbool: Whether to display the figure.

Returns:

figmatplotlib.figure.Figure: Figure handle.