Make grand average of a list of Evoked or AverageTFR data.
mne.Evoked data, the function interpolates bad channels based
interpolate_bads parameter. If
interpolate_bads is True,
the grand average file will contain good channels and the bad channels
interpolated from the good MEG/EEG channels.
mne.time_frequency.AverageTFR data, the function takes the
subset of channels not marked as bad in any of the instances.
grand_average.nave attribute will be equal to the number
of evoked datasets used to calculate the grand average.
A grand average evoked should not be used for source localization.
The evoked datasets.
If True, bad MEG and EEG channels are interpolated. Ignored for AverageTFR.
If True, drop all bad channels marked as bad in any data set. If neither interpolate_bads nor drop_bads is True, in the output file, every channel marked as bad in at least one of the input files will be marked as bad, but no interpolation or dropping will be performed.
New in version 0.11.0.