nltools.plotting¶

Plots that are not a method on a data class. Everything else is plotted from the object itself, through BrainData.plot, Adjacency.plot and DesignMatrix.plot.

nltools.plotting — visualization utilities for neuroimaging analysis.

component_viewer is the one function users call directly. Everything else here is the drawing internal behind a data-class method — BrainData.plot_surf, Roc.plot, Adjacency.plot_silhouette and friends — organized into focused submodules:

brain: surface plots and flatmaps
adjacency: adjacency matrix visualizations (silhouette, label distance)
prediction: model output plots (ROC, decision margin, regression, probability)
decomposition: ICA/PCA component viewer

Functions:

Name	Description
`component_viewer`	Interactively view the results of a `BrainData.decompose()` run.

Functions:¶

component_viewer ¶

component_viewer(output, tr=2.0)

Interactively view the results of a BrainData.decompose() run.

Each component is drawn with nilearn's plot_stat_map above its time course and power spectrum, with number boxes for the component index and the display threshold.

Parameters:

Name	Type	Description	Default
`output`	`dict`	Output dictionary from `BrainData.decompose()` (keys `'components'`, `'weights'`, `'decomposition_object'`).	required
`tr`	`float`	Repetition time of the data in seconds. Default 2.0.	`2.0`

Note

Returns nothing; the interactive widgets render inline.