braindecode.preprocessing.Pick#

class braindecode.preprocessing.Pick(picks, exclude=(), *, verbose=None)[source]#

Braindecode preprocessor wrapper for pick().

Pick a subset of channels.

Parameters:

picksstr | array-like | slice | None: Channels to include. Slices and lists of integers will be interpreted as channel indices. In lists, channel type strings (e.g., ['meg', 'eeg']) will pick channels of those types, channel name strings (e.g., ['MEG0111', 'MEG2623'] will pick the given channels. Can also be the string values 'all' to pick all channels, or 'data' to pick data channels. None (default) will pick all channels. Bad channels are included by default. Note that channels in info['bads'] will be included if their names or indices are explicitly provided.
excludelist | str: Set of channels to exclude, only used when picking based on types (e.g., exclude=”bads” when picks=”meg”).
verbosebool | 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.

Added in version 0.24.0.

Returns:

Examples using `braindecode.preprocessing.Pick`#