Add example showing all the eeg helmets

[massich]

This PR mimics the first step of #6146 for all the montage files. And fix whatever is needed to have a convenient user code like:

for current_montage in get_builtin_montages():
    montage = mne.channels.read_montage(current_montage)
    info = mne.create_info(ch_names=montage.ch_names,
                           sfreq=1,
                           ch_types='eeg',
                           montage=montage)

    plot_alignment(info, trans=None, subject='fsaverage',
                   subjects_dir=subjects_dir,
                   eeg=['original', 'projected'])

What I've used to see if the results are more or less ok

• EGI_256 ref
• GSN-HydroCel ref datasheet
• biosemi ref
• easycap (for the 10 )
• mgh
• standard_1005
• standard_1020 ref
• standard_alphabetic
• standard_postfixed
• standard_prefixed
• standard_primed

[agramfort]

here is the rendered doc: https://12266-1301584-gh.circle-artifacts.com/0/dev/auto_examples/visualization/plot_montage.html

to should see montage file by montage file what option is needed to make it correct.
I expect some adhoc options that we should make superfluous with a future release
so it jsut works out of the box for any of these files

@massich can you report which should be fixed to move forward here?

[codecov]

Codecov Report

Merging #6158 into master will increase coverage by 1.77%.
The diff coverage is 50%.

@@            Coverage Diff             @@
##           master    #6158      +/-   ##
==========================================
+ Coverage   87.21%   88.98%   +1.77%     
==========================================
  Files         412      412              
  Lines       73985    74004      +19     
  Branches    12270    12273       +3     
==========================================
+ Hits        64525    65853    +1328     
+ Misses       6588     5249    -1339     
- Partials     2872     2902      +30

[massich]

the easycap_m10 seems a bit off in pitch, based on this

And so does M1

[massich]

https://12328-1301584-gh.circle-artifacts.com/0/dev/auto_examples/visualization/plot_montage.html?highlight=plot_montage

[agramfort]

what do we do with this PR? I am now lost.

[agramfort]

'auto' is not documented

[agramfort]

too short. please explain more what you did.

[massich]

This pr was adding a short example. Shame as the example we have with MEG helmet. But rather than showing the default Meg helmets shows the eeg default montages. In other words, a place to point people.

…

On Sat, Apr 20, 2019, 11:05 Alexandre Gramfort ***@***.***> wrote: ***@***.**** commented on this pull request. what do we do with this PR? I am now lost. ------------------------------ In mne/channels/montage.py <#6158 (comment)>: > @@ -132,9 +132,8 @@ def read_montage(kind, ch_names=None, path=None, unit='m', transform=False): path : str | None The path of the folder containing the montage file. Defaults to the mne/channels/data/montages folder in your mne-python installation. - unit : 'm' | 'cm' | 'mm' - Unit of the input file. If not 'm' (default), coordinates will be - rescaled to 'm'. + unit : 'm' | 'cm' | 'mm' | 'auto' + Unit of the input file. Defaults to 'auto'. 'auto' is not documented ------------------------------ In examples/visualization/plot_montage.py <#6158 (comment)>: > @@ -0,0 +1,45 @@ +# -*- coding: utf-8 -*- +""" +Plotting sensor layouts of EEG Systems +====================================== + +Show sensor layouts of different EEG systems. too short. please explain more what you did. — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#6158 (review)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ABVX5Y743CECD4VVAKRXJ4TPRLMEBANCNFSM4HGLFQOA> .

[agramfort]

yes I understand the purpose but it contains the fsaverage fetcher so I cannot merge this.

[larsoner]

Thanks @massich