mne.read_events

mne.read_events(filename, include=None, exclude=None, mask=None, mask_type='and', return_event_id=False, verbose=None)[source]

Read events from fif or text file.

See Parsing events from raw data and Working with events for more information about events.

Parameters
filenamestr

Name of the input file. If the extension is .fif, events are read assuming the file is in FIF format, otherwise (e.g., .eve, .lst, .txt) events are read as coming from text. Note that new format event files do not contain the “time” column (used to be the second column).

includeint | list | None

A event id to include or a list of them. If None all events are included.

excludeint | list | None

A event id to exclude or a list of them. If None no event is excluded. If include is not None the exclude parameter is ignored.

maskint | None

The value of the digital mask to apply to the stim channel values. If None (default), no masking is performed.

mask_type‘and’ | ‘not_and’

The type of operation between the mask and the trigger. Choose ‘and’ (default) for MNE-C masking behavior.

New in version 0.13.

return_event_idbool

If True, event_id will be returned. This is only possible for -annot.fif files produced with MNE-C mne_browse_raw.

New in version 0.20.

verbosebool | 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.

Returns
events: array, shape (n_events, 3)

The list of events.

event_iddict

Dictionary of {str: int} mappings of event IDs.

Notes

This function will discard the offset line (i.e., first line with zero event number) if it is present in a text file.

For more information on mask and mask_type, see mne.find_events().

Examples using mne.read_events