Note

This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.

nilearn.plotting.plot_event#

nilearn.plotting.plot_event(model_event, cmap=None, output_file=None, **fig_kwargs)[source]#

Create plot for event visualization.

Parameters:
model_eventpandas.DataFrame or list of pandas.DataFrame

The pandas.DataFrame must have three columns: trial_type with event name, onset and duration.

Note

The pandas.DataFrame can also be obtained from nilearn.glm.first_level.first_level_from_bids.

cmapmatplotlib.colors.Colormap, or str, optional

The colormap to use. Either a string which is a name of a matplotlib colormap, or a matplotlib colormap object.

output_filestr, or None, optional

The name of an image file to export the plot to. Valid extensions are .png, .pdf, .svg. If output_file is not None, the plot is saved to a file, and the display is closed.

**fig_kwargsextra keyword arguments, optional

Extra arguments passed to matplotlib.pyplot.subplots.

Returns:
figurematplotlib.figure.Figure

Plot Figure object.

Examples using nilearn.plotting.plot_event#

Generate an events.tsv file for the NeuroSpin localizer task

Generate an events.tsv file for the NeuroSpin localizer task