[Mne_analysis] plot sensors connectivity error

[Junpeng.zhang@gmail.com]

Hi MNEers, 


When I tried to run plot_sensors_connectivity.py 
I got the following error, 




Computes the Phase Lag Index (PLI) between all gradiometers and shows the
connectivity in 3D using the helmet geometry. The left visual stimulation data
are used which produces strong connectvitiy in the right occipital sensors.


Opening raw data file F:\TDDOWNLOAD\MNE_sample_data\MNE-sample-data-processed\MN
E-sample-data-python/MEG/sample/sample_audvis_filt-0-40_raw.fif...
    Read a total of 4 projection items:
        PCA-v1 (1 x 102)  idle
        PCA-v2 (1 x 102)  idle
        PCA-v3 (1 x 102)  idle
        Average EEG reference (1 x 60)  idle
    Range : 6450 ... 48149 =     42.956 ...   320.665 secs
Ready.
4 projection items activated
73 matching events found
Connectivity computation...
Reading 606 ... 711  =      4.036 ...     4.735 secs...
[done]
Applying baseline correction ... (mode: mean)
Reading 1026 ... 1131  =      6.833 ...     7.532 secs...
[done]
Applying baseline correction ... (mode: mean)
Traceback (most recent call last):
  File "plot_sensor_connectivity.py", line 56, in <module>
    mt_adaptive=False, n_jobs=2)
  File "D:\Python\lib\site-packages\mne-0.6.git-py2.7.egg\mne\utils.py", line 27
9, in dec
    return function(*args, **kwargs)
  File "D:\Python\lib\site-packages\mne-0.6.git-py2.7.egg\mne\connectivity\spect
ral.py", line 694, in spectral_connectivity
    tmax_idx = n_times_in
UnboundLocalError: local variable 'n_times_in' referenced before assignment





Anyone ever encounter the similar error info?
How to solve it ?
Thank you in advance. 


Best wishes, 
Junpeng 








------------------ Original ------------------
From:  "Alexandre Gramfort"<gramfort at nmr.mgh.harvard.edu>;
Date:  Thu, Apr 11, 2013 03:33 AM
To:  "Vincent Rupp Jr."<vincentruppjr at gmail.com>; 
Cc:  "mne_analysis"<mne_analysis at nmr.mgh.harvard.edu>; 
Subject:  Re: [Mne_analysis] saving apply_inverse_epochs returns



hi vincent,

> Thanks for the response. Does this mean that if I load a left hemisphere
> label and save the output of apply_inverse_epochs then the right hemisphere
> stc will be empty of meaningful data, or will it actually be a right
> hemisphere stc for that label?

yes the right stc should be empty of data.

HTH
Alex
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