- mne.equalize_channels(instances, copy=True, verbose=None)[source]#
Equalize channel picks and ordering across multiple MNE-Python objects.
First, all channels that are not common to each object are dropped. Then, using the first object in the list as a template, the channels of each object are re-ordered to match the template. The end result is that all given objects define the same channels, in the same order.
A list of MNE-Python objects to equalize the channels for. Objects can be of type Raw, Epochs, Evoked, AverageTFR, Forward, Covariance, CrossSpectralDensity or Info.
When dropping and/or re-ordering channels, an object will be copied when this parameter is set to
True. When set to
False(the default) the dropping and re-ordering of channels happens in-place.
New in version 0.20.0.
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.
A list of MNE-Python objects that have the same channels defined in the same order.
This function operates inplace.