Thanks Patrick for the answer, a link to an example would be helpful. All the plots that I have in the form of the application use the same data (similar to a matrix in pandas library). If one some sample is selected or some action or update is done, all the plots are updated. Besides, I can use different colors to different groups of samples. Can this be easily done as well?
I had several problems to do the app in Bokeh, and I don't know if I would have even more troubles in PyQtGraph with OpenGL. Does anyone know both libraries in order to compare functionalities? Bokeh has a toolbar next to each plot that is quite useful, but if I use PyQtGraph I would have to create all those tools manually right? On Thursday, 6 May 2021 at 05:19:59 UTC+2 Patrick wrote: > Hi, > > What you describe is absolutely possible, but the "lasso" functionality > shown in the gif would need to be custom written if you really wanted it. > Selecting scatter points can be done (see the Graphics Items -> Scatter > Plot example). I have done interacting with line plots and the show/hide > checkbox thing for multiline plots before and it was reasonably > straightforward. I can point you towards a code example of that if you need. > > Patrick > > On Thursday, 6 May 2021 at 7:25:01 am UTC+9:30 [email protected] wrote: > >> Hello everybody, >> >> I am considering migrating an app similar to the one in the link to >> PyQtGraph or Vispy. The App is built with the Bokeh library >> >> https://github.com/ocean-data-qc/ocean-data-qc >> >> Do you think that is possible? If you take a look at the gif in the main >> page of the project. I need to be able to interact with the samples in the >> graph by clicking on them. I also need to draw multiline plots on the >> samples graph, change some visibility of a group of samples, etc. I think >> you can get the whole idea just checking the gif. >> >> Thanks in advance !! >> > -- 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/af5933d8-1a74-4c9f-8f4f-ced42b837d3bn%40googlegroups.com.
