mne.pick_channels#
- mne.pick_channels(ch_names, include, exclude=[], ordered=None, *, verbose=None)[source]#
Pick channels by names.
Returns the indices of
ch_names
ininclude
but not inexclude
.- Parameters:
- ch_names
list
ofstr
List of channels.
- include
list
ofstr
List of channels to include (if empty include all available).
Note
This is to be treated as a set. The order of this list is not used or maintained in
sel
.- exclude
list
ofstr
List of channels to exclude (if empty do not exclude any channel). Defaults to [].
- orderedbool
If True (default False), ensure that the order of the channels in the modified instance matches the order of
ch_names
.New in v0.20.0.
Changed in version 1.5: The default changed from False in 1.4 to True in 1.5.
- verbosebool |
str
|int
|None
Control verbosity of the logging output. If
None
, use the default verbosity level. See the logging documentation andmne.verbose()
for details. Should only be passed as a keyword argument.
- ch_names
- Returns:
See also
Examples using mne.pick_channels
#
Working with eye tracker data in MNE-Python
EEG analysis - Event-Related Potentials (ERPs)
Non-parametric 1 sample cluster statistic on single trial power