# Type Error in adaptation of example plot\_source\_space\_time\_frequency.py
**URL:** https://mne.discourse.group/t/type-error-in-adaptation-of-example-plot-source-space-time-frequency-py/685
**Category:** Mailing List Archive (read-only)
**Tags:** list-archive
**Created:** [March 8, 2014, 8:47pm UTC](https://mne.discourse.group/t/type-error-in-adaptation-of-example-plot-source-space-time-frequency-py/685 "2014-03-08T20:47:41Z")
**Posts on this page:** 5
**Page:** 1
### Author:  [@system](https://mne.discourse.group/u/system)
#### Post date: [March 8, 2014, 8:47pm UTC](https://mne.discourse.group/t/type-error-in-adaptation-of-example-plot-source-space-time-frequency-py/685/1 "2014-03-08T20:47:41Z")
Hi all,
I get the following error when I try the following using my constructed ROI labels : Any pointers would be much appreciated 🙂
thanks// dave
script snippet:
print \_\_doc\_\_
import mne
from mne import fiff
from mne.minimum\_norm import source\_band\_induced\_power
epochs=mne.read\_epochs(fname\_epoched, proj= True)
bands = dict(theta= [3, 8], alpha=[9, 11], beta=[18, 22], gamma=[30, 80])
stcs = source\_band\_induced\_power(epochs, label, inverse\_operator, bands, n\_cycles=2,
use\_fft=False, n\_jobs=1)
for b, stc in stcs.iteritems():
stc.save('induced\_power\_%s' % b)
---
### Author:  [@system](https://mne.discourse.group/u/system)
#### Post date: [March 9, 2014, 7:49am UTC](https://mne.discourse.group/t/type-error-in-adaptation-of-example-plot-source-space-time-frequency-py/685/2 "2014-03-09T07:49:04Z")
hi David,
can you reproduce the problem with the sample data?
could you share a gist on [https://gist.github.com/](https://gist.github.com/) ?
thanks
Alex
---
### Author:  [@system](https://mne.discourse.group/u/system)
#### Post date: [March 9, 2014, 11:50am UTC](https://mne.discourse.group/t/type-error-in-adaptation-of-example-plot-source-space-time-frequency-py/685/3 "2014-03-09T11:50:50Z")
Hi David,
It seems to me that you get this error because you use lists for the
bands instead of arrays. Try to use
import numpy as np
bands = dict(theta=np.array([3, 8]), alpha=np.array([9, 11]),
beta=np.array([18, 22]), gamma=np.array([30, 80]))
If this works we will also fix the code so that it works with lists.
Best,
Martin
---
### Author:  [@system](https://mne.discourse.group/u/system)
#### Post date: [March 9, 2014, 5:11pm UTC](https://mne.discourse.group/t/type-error-in-adaptation-of-example-plot-source-space-time-frequency-py/685/4 "2014-03-09T17:11:38Z")
will try am not quite sure how to proceed given that I am using my subject roi labels
> hi David,
>
> can you reproduce the problem with the sample data?
> could you share a gist on [https://gist.github.com/](https://gist.github.com/) ?
>
> thanks
> Alex
>
> > Hi all,
> >
> > I get the following error when I try the following using my constructed ROI labels : Any pointers would be much appreciated 🙂
> >
> > thanks// dave
> >
> > script snippet:
> >
> > print \_\_doc\_\_
> >
> > import mne
> > from mne import fiff
> >
> > from mne.minimum\_norm import source\_band\_induced\_power
> > epochs=mne.read\_epochs(fname\_epoched, proj= True)
> > bands = dict(theta= [3, 8], alpha=[9, 11], beta=[18, 22], gamma=[30, 80])
> >
> > stcs = source\_band\_induced\_power(epochs, label, inverse\_operator, bands, n\_cycles=2,
> > use\_fft=False, n\_jobs=1)
> >
> > for b, stc in stcs.iteritems():
> > stc.save('induced\_power\_%s' % b)
> >
> > ###############################################################################
> > # plot mean power
> > import matplotlib.pyplot as plt
> > plt.plot(stcs['alpha'].times, stcs['alpha'].data.mean(axis=0), label='Alpha')
> > plt.plot(stcs['beta'].times, stcs['beta'].data.mean(axis=0), label='Beta')
> > plt.plot(stcs['beta'].times, stcs['beta'].data.mean(axis=0), label='Theta')
> > plt.plot(stcs['beta'].times, stcs['beta'].data.mean(axis=0), label='Gamma')
> > plt.xlabel('Time (ms)')
> > plt.ylabel('Power')
> > plt.legend()
> > plt.title('Mean source induced power')
> > plt.show()
> >
> > error:
> >
> > ---------------------------------------------------------------------------
> > TypeError Traceback (most recent call last)
> > \ in \()
> > 1 bands = dict(theta=[3, 8], alpha=[9, 11], beta=[18, 22], gamma=[30, 80])
> > 2
> > ----\> 3 BFstcs = source\_band\_induced\_power(epochs, label, inverse\_operator, bands, n\_cycles=2, use\_fft=False, n\_jobs=1)
> >
> > /home/leitman/Enthought/Canopy\_64bit/User/lib/python2.7/site-packages/mne-0.7.1-py2.7.egg/mne/utils.pyc in dec(\*args, \*\*kwargs)
> > 378 return ret
> > 379 else:
> > --\> 380 return function(\*args, \*\*kwargs)
> > 381
> > 382 # set \_\_wrapped\_\_ attribute so ?? in IPython gets the right source
> >
> > /home/leitman/Enthought/Canopy\_64bit/User/lib/python2.7/site-packages/mne-0.7.1-py2.7.egg/mne/minimum\_norm/time\_frequency.pyc in source\_band\_induced\_power(epochs, inverse\_operator, bands, label, lambda2, method, nave, n\_cycles, df, use\_fft, decim, baseline, baseline\_mode, pca, n\_jobs, verbose)
> > 84
> > 85 frequencies = np.concatenate([np.arange(band[0], band[1] + df / 2.0, df)
> > ---\> 86 for \_, band in bands.iteritems()])
> > 87
> > 88 powers, \_, vertno = \_source\_induced\_power(epochs,
> > \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
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### Author:  [@system](https://mne.discourse.group/u/system)
#### Post date: [March 9, 2014, 7:57pm UTC](https://mne.discourse.group/t/type-error-in-adaptation-of-example-plot-source-space-time-frequency-py/685/5 "2014-03-09T19:57:58Z")
Hi thanks will do and will try wilth sample data when I get to work tomorrow
Dave