Hi Denis,
Thank you for pointing me to those PRs. I had a brief look to them but, to be
honest, I did not
find what I was looking for. In the the meanwhile I coded this simple function
which use
matplotlib's griddata and pcolormesh to create a topography, following this:
http://stackoverflow.com/questions/3864899/resampling-irregularly-spaced-data-to-a-regular-grid-in-python
Please find attached the short topography code and jpg example. Beware: the code
is ugly :).
But maybe someone else might find it useful.
Best,
Emanuele
Hi Emanuele,
take a look at this PR by Alex:
https://github.com/mne-tools/mne-python/pull/392
and this one by Christian:
https://github.com/mne-tools/mne-python/pull/404
It shouldn't be difficult to merge this soon and add it as an alternative to
the viz module.
However it seems the focus has been put on other things in the last months,
especially as nobody asked for this.
We now have a good reason for speeding up
Cheers,
Denis
Hi,
First of all thank you for mne-python: it is very well done and effective!
I'd like to create simple topographic plots from the results of statistical
tests that I am conducting on gradiometer data (evoked responses) of our
Elekta
Neuromag. From what I see in the documentation many rich functions are
available in the mne.viz module but I cannot find the simple one that given a
coefficient for each channel (e.g. t-statistic between two conditions) and a
layout ('Vectorview-grad.lout', in my case, if I understand correctly), plots
the topography like
http://dev.pymvpa.org/_images/ex_topo_plot.png
http://fieldtrip.fcdonders.nl/_media/tutorial/eventrelatedaveraging/topoplot_fic_3feb09_erf.png
or like this mne-python plot, but without clickable sensors and timecourses:
http://martinos.org/mne/auto_examples/plot_topography.html
...a simple colored box for each channel would suffice.
Any hints?
Best,
Emanuele
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