Plot events to get a visual display of the paradigm.
array
of 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.
float
| None
The sample frequency. If None, data will be displayed in samples (not seconds).
int
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_samp
attribute can be passed here. Default is 0.
dict
| None
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.
dict
| None
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.
Axes
The subplot handle.
Use equal spacing between events in y-axis.
Show figure if True.
Can be 'raise'
(default) to raise an error, 'warn'
to emit a
warning, or 'ignore'
to ignore when event numbers from event_id
are missing from
events. When numbers from events are missing from
event_id
they will be ignored and a warning emitted; consider
using verbose='error'
in this case.
New in version 0.21.
str
| int
| None
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.
matplotlib.figure.Figure
The figure object containing the plot.
Notes
New in version 0.9.0.
mne.viz.plot_events
#Overview of MEG/EEG analysis with MNE-Python
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From raw data to dSPM on SPM Faces dataset