[mne] find_events error : arrays used as indices must be of integer (or boolean) type

[SoanKim]

Hello, I keep getting this error message. Could you please help me with how to find epochs? I've got these events : array([[ 51, 0, 1], [ 301, 0, 2], [ 551, 0, 3]... but I get this error message... Thank you!

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IndexError Traceback (most recent call last)

in ----> 1 events = mne.find_events(raw, stim_channel='Pz') in find_events(raw, stim_channel, output, consecutive, min_duration, shortest_event, mask, uint_cast, mask_type, initial_event, verbose) ~/mne-python/mne/utils/_logging.py in wrapper(*args, **kwargs) 87 with use_log_level(verbose_level): 88 return function(*args, **kwargs) ---> 89 return function(*args, **kwargs) 90 return FunctionMaker.create( 91 function, 'return decfunc(%(signature)s)', ~/mne-python/mne/event.py in find_events(raw, stim_channel, output, consecutive, min_duration, shortest_event, mask, uint_cast, mask_type, initial_event, verbose) 684 if len(picks) == 0: 685 raise ValueError('No stim channel found to extract event triggers.') --> 686 data, _ = raw[picks, :] 687 688 events_list = [] ~/mne-python/mne/utils/mixin.py in __getitem__(self, item) 129 .. versionadded:: 0.16 130 """ --> 131 return self._getitem(item) 132 133 def _getitem(self, item, reason='IGNORED', copy=True, drop_event_id=True, ~/mne-python/mne/utils/mixin.py in _getitem(***failed resolving arguments***) 179 has_selection = hasattr(inst, 'selection') 180 if has_selection: --> 181 key_selection = inst.selection[select] 182 if reason is not None: 183 for k in np.setdiff1d(inst.selection, key_selection): IndexError: arrays used as indices must be of integer (or boolean) type

[agramfort]

you don't have a stim channel in your raw file. Do you see annotations? raw.annotations ?

[SoanKim]

No, I get this error with raw.annotations :

AttributeError: 'EpochsEEGLAB' object has no attribute 'annotations'

My ".set" file was epoched on eeglab.

[agramfort]

events are to make epochs. If you have epochs what are you trying to do?

[SoanKim]

You're right. Thank you. Actually, I wanted to run this code, but I think it's not the problem of epochs...

epochs = mne.read_epochs(path) (https://martinos.org/mne/stable/auto_examples/stats/plot_sensor_regression.html)

AttributeError: 'EpochsEEGLAB' object has no attribute 'endswith'

It gives me the same error message when I load my another continuous .set file with "mne.io.read_raw_eeglab" as well. Should I convert all my ".set"files into ".fif" files? I don't know what the problem is.. Maybe it's because my raw file was from brainvision ".vhdr" at first... It seems stim channel is missing as well...

AttributeError Traceback (most recent call last)

in ----> 1 epochs = mne.read_epochs(raw) in read_epochs(fname, proj, preload, verbose) ~/mne-python/mne/utils/_logging.py in wrapper(*args, **kwargs) 87 with use_log_level(verbose_level): 88 return function(*args, **kwargs) ---> 89 return function(*args, **kwargs) 90 return FunctionMaker.create( 91 function, 'return decfunc(%(signature)s)', ~/mne-python/mne/epochs.py in read_epochs(fname, proj, preload, verbose) 2339 The epochs 2340 """ -> 2341 return EpochsFIF(fname, proj, preload, verbose) 2342 2343 in __init__(self, fname, proj, preload, verbose) ~/mne-python/mne/utils/_logging.py in wrapper(*args, **kwargs) 87 with use_log_level(verbose_level): 88 return function(*args, **kwargs) ---> 89 return function(*args, **kwargs) 90 return FunctionMaker.create( 91 function, 'return decfunc(%(signature)s)', ~/mne-python/mne/epochs.py in __init__(self, fname, proj, preload, verbose) 2393 verbose=None): # noqa: D102 2394 check_fname(fname, 'epochs', ('-epo.fif', '-epo.fif.gz', -> 2395 '_epo.fif', '_epo.fif.gz')) 2396 fnames = [fname] 2397 ep_list = list() ~/mne-python/mne/utils/check.py in check_fname(fname, filetype, endings, endings_err) 46 % (fname, filetype, print_endings)) 47 print_endings = ' or '.join([', '.join(endings[:-1]), endings[-1]]) ---> 48 if not fname.endswith(endings): 49 warn('This filename (%s) does not conform to MNE naming conventions. ' 50 'All %s files should end with %s' AttributeError: 'EpochsEEGLAB' object has no attribute 'endswith'

[agramfort]

it's hard for us to debug without the .set file and seeing the full code

[SoanKim]

I've uploaded my raw BrainProduct eegfiles('001.vhdr', '001.vmrk') and also pre-processed & artifac rejected ".set"files("001_sync.set", "001_sync.fdt", processed on ERPlab).https://github.com/SommersKim/EEG-ERP

After I loaded my files with "mne.io.read_epochs_brainvision" for my raw BrainProduct eegfiles, or "mne.io.read_epochs_eeglab" for my ".set"files,

I cannot run "epochs = mne.read_epochs(raw)".

Thank you...!!

[agramfort]

@SommersKim please read the documentation.

how do you expect epochs = mne.read_epochs(raw) to work? read_epochs reads from disk epochs. Why do you pass a raw object???

I am closing as I don't think it's a bug in the code.