""" .. _tut_info_objects: The :class:`Info ` data structure ============================================== """ from __future__ import print_function import mne import os.path as op ############################################################################### # The :class:`Info ` data object is typically created # when data is imported into MNE-Python and contains details such as: # # - date, subject information, and other recording details # - the sampling rate # - information about the data channels (name, type, position, etc.) # - digitized points # - sensor–head coordinate transformation matrices # # and so forth. See the :class:`the API reference ` # for a complete list of all data fields. Once created, this object is passed # around throughout the data analysis pipeline. # # It behaves as a nested Python dictionary: # Read the info object from an example recording info = mne.io.read_info( op.join(mne.datasets.sample.data_path(), 'MEG', 'sample', 'sample_audvis_raw.fif'), verbose=False) ############################################################################### # List all the fields in the info object print('Keys in info dictionary:\n', info.keys()) ############################################################################### # Obtain the sampling rate of the data print(info['sfreq'], 'Hz') ############################################################################### # List all information about the first data channel print(info['chs'][0]) ############################################################################### # .. _picking_channels: # # Obtaining subsets of channels # ----------------------------- # # There are a number of convenience functions to obtain channel indices, given # an :class:`mne.Info` object. ############################################################################### # Get channel indices by name channel_indices = mne.pick_channels(info['ch_names'], ['MEG 0312', 'EEG 005']) ############################################################################### # Get channel indices by regular expression channel_indices = mne.pick_channels_regexp(info['ch_names'], 'MEG *') ############################################################################### # Get channel indices by type channel_indices = mne.pick_types(info, meg=True) # MEG only channel_indices = mne.pick_types(info, eeg=True) # EEG only ############################################################################### # MEG gradiometers and EEG channels channel_indices = mne.pick_types(info, meg='grad', eeg=True) ############################################################################### # Get a dictionary of channel indices, grouped by channel type channel_indices_by_type = mne.io.pick.channel_indices_by_type(info) print('The first three magnetometers:', channel_indices_by_type['mag'][:3]) ############################################################################### # Obtaining information about channels # ------------------------------------ # Channel type of a specific channel channel_type = mne.io.pick.channel_type(info, 75) print('Channel #75 is of type:', channel_type) ############################################################################### # Channel types of a collection of channels meg_channels = mne.pick_types(info, meg=True)[:10] channel_types = [mne.io.pick.channel_type(info, ch) for ch in meg_channels] print('First 10 MEG channels are of type:\n', channel_types) ############################################################################### # Dropping channels from an info structure # ---------------------------------------- # # It is possible to limit the info structure to only include a subset of # channels with the :func:`mne.pick_info` function: # Only keep EEG channels eeg_indices = mne.pick_types(info, meg=False, eeg=True) reduced_info = mne.pick_info(info, eeg_indices) print(reduced_info)