Dear Christopher, thanks a lot for your reply. Yes, I am blogging weekly here <https://blogs.python-gsoc.org/en/marsipus-blog/>. Are you working on a pyqtgraph-data-browser too? Thank you very much for the offer, it would aid me a lot to see how others tackled the (performance)-problems of visualizing large datasets. I saw that you are invested in neuroscience and medecine too being a MD/PhD (I am a 5th year medical student working on my doctoral thesis about MEG/EEG pain-neurophysiology). Are you able to use Open-Source-Software as the plots from MNE-Python in clinical settings e.g. for diagnostics too?
Best wishes Martin [email protected] schrieb am Montag, 12. Juli 2021 um 00:23:54 UTC+2: > Hi Martin, > This sounds like a great project. Our group has a lot of overlap with some > of things we are working on. > Are you blogging about it somewhere. We might be able to share some > results. > -C > > On Monday, June 28, 2021 at 9:11:25 AM UTC-7 [email protected] wrote: > >> Dear pyqtgraph-community, >> >> my name is Martin Schulz and I am currently participating in the Google >> Summer of Code for MNE-Python <https://mne.tools/stable/index.html>. My >> project <https://summerofcode.withgoogle.com/projects/#6398565485641728> >> is the reimplementation of the RawBrowser which is displaying the channels >> from EEG/MEG-data over time. Thanks to your modular and well documented >> package I could quickly start with a pyqtgraph-prototype >> <https://github.com/marsipu/gsoc2021> and I am currently trying to >> implement all the features we need. To display the usually large datasets, >> I only show the time&channels of the current viewRange as in your >> hdf5-example. I extended it to dynamically load PlotCurveItems for channels >> if the yRange changes instead of having them all in the scene. >> PlotCurveItems seem to provide a better performance on initialization than >> PlotDataItems. *In the adjacent schematic I have outlined the structure >> of my current prototype.* >> >> *What do you think about this?* I would be happy about comments or maybe >> hints if I used something not the way it is supposed to be used or it could >> be used better. >> >> Thank you very much for your work, I am more and more seeing how many >> problems you solved in advance. It is a lot of fun to use pyqtgraph and it >> facilitates advancing with my project a lot. >> >> Best wishes >> >> Martin >> > -- You received this message because you are subscribed to the Google Groups "pyqtgraph" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/pyqtgraph/4160875d-354f-4811-a068-e47fa82fdb4fn%40googlegroups.com.
