Export evoked dataset to MFF.
Warning
Since we are exporting to external formats, there’s no guarantee that all the info will be preserved in the external format. See Notes for details.
str
Name of the output file.
list
of Evoked
instancesList of evoked datasets to export to one file. Note that the measurement info from the first evoked instance is used, so be sure that information matches.
None
(default) | list
of dict
Optional list of history entries (dictionaries) to be written to history.xml. This must adhere to the format described in mffpy.xml_files.History.content. If None, no history.xml will be written.
If True (default False), overwrite the destination file if it exists.
New in version 0.24.1.
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.
Notes
New in version 0.24.
Export to external format may not preserve all the information from the
instance. To save in native MNE format (.fif
) without information loss,
use mne.Evoked.save()
instead.
Export does not apply projector(s). Unapplied projector(s) will be lost.
Consider applying projector(s) before exporting with
mne.Evoked.apply_proj()
.
Only EEG channels are written to the output file.
info['device_info']['type']
must be a valid MFF recording device
(e.g. ‘HydroCel GSN 256 1.0’). This field is automatically populated when
using MFF read functions.