How can I plot the evoked conditions better

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1

I am working on comparing evoked parameter for two conditions but the signal activity of the signal is not really visible. I would be grateful if I could get suggestions on how can I plot the signal in a way that the signal activity is actually visible and comparable.
My code -

evokeds = dict(
Up_and_Down_Eye_Movements=evoked_Up_and_Down_Eye_Movements,
Side_to_Side_Eye_Movements=evoked_Side_to_Side_Eye_Movements,
)

picks = [‘Channel 1’, ‘Channel 2’, ‘Channel 3’, ‘Channel 4’]

mne.viz.plot_compare_evokeds(evokeds, picks=picks, combine=None, ylim=dict(eeg=[-50, 50]), ci=False, invert_y=False, truncate_xaxis=False)

evk comparison
evk comparison709×545 18.8 KB

Thank you!

2

Try this:

evoked_Up_and_Down_Eye_Movements = evoked_Up_and_Down_Eye_Movements.apply_baseline((0, 0.5))
evoked_Side_to_Side_Eye_Movements = evoked_Side_to_Side_Eye_Movements.apply_baseline((0, 0.5))

evokeds = dict(
    Up_and_Down_Eye_Movements=evoked_Up_and_Down_Eye_Movements,
    Side_to_Side_Eye_Movements=evoked_Side_to_Side_Eye_Movements,
)

picks = [‘Channel 1’, ‘Channel 2’, ‘Channel 3’, ‘Channel 4’]

mne.viz.plot_compare_evokeds(evokeds, picks=picks, combine=None, ylim=dict(eeg=[-500E-6, 500E-6]), ci=False, invert_y=False, truncate_xaxis=False)
1 Like
3

Thank you so much for your response!
I tried the solution but I am getting error ‘TypeError: apply_baseline() takes from 1 to 2 positional arguments but 3 were given’. Not sure why this is coming up since only 2 arguments were passed.

4

My bad. I’ve updated the code above by adding some () that were missing.

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5

@Esha I am curious if this fixed the issue, could you confirm if this was the case (I think you can also mark an answer as the solution). Thank you!

6

Thank you for the correction!
I am still getting an error “ValueError: Image size of 722x68446 pixels is too large. It must be less than 2^16 in each direction.”

<Figure size 800x600 with 1 Axes>

7

Hey I am sorry , I am still getting a value error that the size of the image is too large. I’ll update as soon as I find a solution.

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8

perhaps that should have been ylim=dict(eeg=[-500, 500]) instead. I don’t know of the top of my head.

9

@drammock, I have struggled with a similar issue so I was wondering if you could have a look at this post and have some advice? Many thanks!

10

@Rosyl Can you share your full code snippet? Is it a bug for y-axis limit or an error for saving the matplotlib figure?

best,
Dip

11

@dasdiptyajit thank you for your reply, but I currently don’t have an example at hand. I remembered having the issue a while ago and found this post later on, so I thought to follow up because it’s a useful post for more novice users of mne-nirs (like me) to learn.

(if I do stumble across it again, I’ll make a new thread and refer to this thread.)

Thanks!

1 Like
12

I see. I am afraid that I can’t help much without looking at the code. I think its not an issue with MNE but rather something to do with plot/saving the figure. Feel free to tag me if you have something in your hand that can reproduce the issue.

best,

1 Like