How to plot() raw EEG data topomap and 3d when plot() got an unexpected keyword argument 'kind'

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1

Just in case, if someone have the same doubt I had:
I wanted to plot topomap of my raw data (not ten_twenty_montage simulation)

In " Working with sensor locations"
https://mne.tools/stable/auto_tutorials/intro/40_sensor_locations.html#sphx-glr-auto-tutorials-intro-40-sensor-locations-py

Tutorial says how to set montage but not how to plot it with raw:
…
these will be equivalent:

raw_1020 = raw.copy().set_montage(ten_twenty_montage)
raw_1020 = raw.copy().set_montage('standard_1020')...

But it does not explain how to plot raw data (just how to plot ten_twenty_montage)

the problem is that :
to plot “ten_twenty_montage” we do —> ten_twenty_montage.plot()

on the other hand

to plot “raw data” we do —> raw_1020.plot_sensors(show_names=True)
raw_1020.plot_sensors('3d', show_names=True)

plot_sensors() is the answer

It was difficult to find out.
I posted just in case someone needs this information

Initially I thought it was a matplotlib problem and it took me days to resolution.

best
Kanda

2

Thanks for sharing this here @PauloKanda, I’m sure it will be helpful for others. I agree that the method raw.plot_sensors() is inconsistent with our use of montage elsewhere, so it should probably have been called raw.plot_montage().

3

My pleasure to help. Think plot_sensor() or plot_montage() are a question of author’s ‘taste’, both are ok to me. The problem is to remember to show the information in tutorials. Explicity is better than implicity, is not it? Best Kanda.

4

Hi @PauloKanda,
good point, we could add a section to the tutorial detailing that you can use .plot_sensors() once the montage is applied (this could also explain that montages, when applied, are transformed to head coordinate frame, so the exact x, y, z channel positions can be different wrt the original montage).

5

Yes Mr. Magnuski, agreed,

Also, It would be great if in each tutorial we could add footpage notes.

Best

PKanda