Export Raw to external formats.
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.
Name of the output file.
The raw instance to export.
Format of the export. Defaults to
'auto', which will infer the format
from the filename extension. See supported formats above for more
The physical range of the data. If ‘auto’ (default), then it will infer the physical min and max from the data itself, taking the minimum and maximum values per channel type. If it is a 2-tuple of minimum and maximum limit, then those physical ranges will be used. Only used for exporting EDF files.
Whether to incorporate the channel type into the signal label (e.g. whether
to store channel “Fz” as “EEG Fz”). Only used for EDF format. Default is
If True (default False), overwrite the destination file if it exists.
New in version 0.24.1.
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,
Export does not apply projector(s). Unapplied projector(s) will be lost.
Consider applying projector(s) before exporting with
For EEGLAB exports, channel locations are expanded to full EEGLAB format.
For more details see
For EDF exports, only channels measured in Volts are allowed; in MNE-Python
this means channel types ‘eeg’, ‘ecog’, ‘seeg’, ‘emg’, ‘eog’, ‘ecg’, ‘dbs’,
‘bio’, and ‘misc’. ‘stim’ channels are dropped. Although this function
supports storing channel types in the signal label (e.g.
EEG Fz or
MISC E), other software may not support this (optional) feature of
the EDF standard.
add_ch_type is True, then channel types are written based on what
they are currently set in MNE-Python. One should double check that all
their channels are set correctly. You can call
raw.set_channel_types to set
In addition, EDF does not support storing a montage. You will need
to store the montage separately and call