- mne.viz.plot_events(events, sfreq=None, first_samp=0, color=None, event_id=None, axes=None, equal_spacing=True, show=True, on_missing='raise', verbose=None)[source]#
Plot events to get a visual display of the paradigm.
int, shape (n_events, 3)
The array of events. The first column contains the event time in samples, with first_samp included. The third column contains the event id.
The sample frequency. If None, data will be displayed in samples (not seconds).
The index of the first sample. Recordings made on Neuromag systems number samples relative to the system start (not relative to the beginning of the recording). In such cases the
raw.first_sampattribute can be passed here. Default is 0.
Dictionary of event_id integers as keys and colors as values. If None, colors are automatically drawn from a default list (cycled through if number of events longer than list of default colors). Color can be any valid matplotlib color.
Dictionary of event labels (e.g. ‘aud_l’) as keys and their associated event_id values. Labels are used to plot a legend. If None, no legend is drawn.
- axesinstance of
The subplot handle.
Use equal spacing between events in y-axis.
Show figure if True.
- on_missing‘raise’ | ‘warn’ | ‘ignore’
'raise'(default) to raise an error,
'warn'to emit a warning, or
'ignore'to ignore when event numbers from
event_idare missing from events. When numbers from events are missing from
event_idthey will be ignored and a warning emitted; consider using
verbose='error'in this case.
New in version 0.21.
Control verbosity of the logging output. If
None, use the default verbosity level. See the logging documentation and
mne.verbose()for details. Should only be passed as a keyword argument.
The figure object containing the plot.
New in version 0.9.0.
Overview of MEG/EEG analysis with MNE-Python
Preprocessing functional near-infrared spectroscopy (fNIRS) data
Sleep stage classification from polysomnography (PSG) data
Single trial linear regression analysis with the LIMO dataset
From raw data to dSPM on SPM Faces dataset