Thanks Patrick for your example !! That's quite similar to what I need. I am talking about:
- Samples: over 1 million samples in every plot , where a scatter and a multiline graph could be shown at the same time. The matrix may have 50-100 columns. If the multiline graph does not need a different matrix structure, I would need just one big matrix for all the plots. - Plots: 100 for each file as maximum. I would need to open more than one file at the same time to make comparisons (they could be in the background temporarily if it's too much) I know this can work fluent in Matlab, but I don't know if that's currently possible in Python On Friday, 7 May 2021 at 06:21:27 UTC+2 Patrick wrote: > Here's a screenshot from a project I'm currently working on. I've been > working on the hardware and back end stuff recently, so the front end GUI > hasn't been touched for a while. This is showing 10x 1.4 MB .csv data > matrices loaded up. The three data panels are different views of the data > and are all linked and updated in sync. The checkboxes toggle visibility of > each data set, and mouse interaction works to select traces by clicking on > the plot (highlighted in white). I have tried loading 100 or so matrices in > and it still works fine, though the slowdown is noticeable. > [image: Screenshot from 2021-05-07 13-33-32.png] > Source code is public, specifically you'll want to look at this file for > mouse interaction etc: datapanel.py > <https://gitlab.com/ptapping/trspectrometer/-/blob/main/trspectrometer/datapanel.py> > > On Thursday, 6 May 2021 at 10:11:43 pm UTC+9:30 [email protected] wrote: > >> 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/67f5fe45-6d10-4d47-895f-71a922a248a7n%40googlegroups.com.
