[Mne_analysis] (no subject)

Maria Hakonen maria.hakonen at gmail.com
Sat Aug 16 08:23:30 EDT 2014
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Regards,
Maria


2014-08-16 15:04 GMT+03:00 Maria Hakonen <maria.hakonen at gmail.com>:

>                fig = ica.plot_scores(scores, exclude=eog_inds)
>                 file_end= 'scores.png'
>                 filename = directory+subjects[s]+sessions[x]+file_end
>                 plt.savefig(filename)
>                 print 1
>                 plt.close(fig)
>                 print 2
>
> fig=ica.plot_sources(epochs_bp,eog_inds)
>                 file_end = 'sources.png'
>                 filename = directory+subjects[s]+sessions[x]+file_end
>                 plt.savefig(filename)
>                 print 3
>                 plt.close(fig)
>                 print 4
>                 #del fig
>                 fig=ica.plot_components(eog_inds, colorbar=True)
>                 file_end = 'components.png'
>                 filename = directory+subjects[s]+sessions[x]+file_end
>                 plt.savefig(filename)
>                 print 5
>                 plt.close(fig)
>                 print 6
>                 #del fig
>                 ica.exclude += eog_inds[:1]
>
> eog_evoked = eog_epochs.average()
>                 fig=ica.plot_sources(eog_evoked)
>                 file_end='reconstructed_latent_sources.png'
>                 filename = directory+subjects[s]+sessions[x]+file_end
>                 plt.savefig(filename)
>                 print 7
>                 plt.close(fig)
>                 print 8
>                 #del fig
>                 fig=ica.plot_overlay(eog_evoked)
>                 file_end='signal_before_and_after_ica.png'
>                 filename = directory+subjects[s]+sessions[x]+file_end
>                 plt.savefig(filename)
>                 print 9
>                 plt.close(fig)
>                 print 10
>
>
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