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.
list
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.
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.
list
A list of MNE-Python objects that have the same channels defined in the same order.
Notes
This function operates inplace.