@villares@ciberlandia.ptIf you have been using #py5 for a while, this page about #matplotlib integration is a documentation gem It opens up the possibility of making "live", real time and interactive, maplotlib charts, but even if you are not into #dataviz, it shows the beautiful #profiling tools integrated with py5 and how to use #threading to improve performance. In the end you also learn about named colors and the clever "Colormap Color Mode" feature.
https://www.py5coding.org/integrations/matplotlib.html #python #processing4 #profilers #colormapps
@villares if you’re wanting live plot updates that’s sort of #PyQtGraph ‘s thing. I will freely admit that pyqtgraph does not have the plotting customization that matplotlib does but it’s very straight forward to integrate into a Qt application.
@villares@ogi Nice! PyQt is very cool, and there are also other tremendously powerful interactive dataviz tools like Napari?... but my post is more a celebration of py5, which is mostly used for creative coding, not dataviz... As I'm very used to the Processing graphics vocabulary and the very simple main loop and event hooks it provides I end up doing some "useful/utilitarian" stuff with it sometimes :D
@villares oh yeah if you’re in another framework/ecosystem that isn’t Qt then stay away 
@villares@ogi you should post more stuff about PyQtGraph on your account, looks like an amazing tool! And I've seen at the docs there is this collaboration with VisPy project... very cool stuff.