Re: Plotting to a matplotlib / pyplot window does not work

Hi Matthias,

On Thu, Jul 23, 2020 at 7:55 AM Matthias Brennwald <[email protected]>
wrote:

> On Do, Jul 23, 2020 at 13:46, Andrea Gavana <[email protected]>
> wrote:
>
> If the plotting part is relatively quick, there shouldn't be any pile-up
> of events, unless the rate of data coming in from your instrument exceeds
> the FPS of your plotting. At that point the GUI is busy plotting stuff
> only, which is not good. If you have a very high rate of wx.CallAfter stuff
> coming in, then I suggest you update the plot every N times instead of
> every time something comes in.
>
>
> Yeah, this is essentially what I am doing, see the example I attached in
> my earlier post. However, I had to make some glue code that prevents the
> wx.CallAfter calls from piling up (sorry, I mixed up CallAfter and
> CallLater in my previous post). I wonder if there is a way to avoid this
> glue code by using some mechanism or approach that is "built in" wxPython.
>
> On Do, Jul 23, 2020 at 07:15, Matt Newville <[email protected]>
> wrote:
>
> One alternative would be to use a simple Timer that calls a function to
> "fetch the latest data and display it".   That can then run at the natural
> rate for your GUI client to fetch the data and render that display.   This
> approach allows the GUI to be responsive, and not miss any data even if it
> does not update exactly once for every single data event.  It also gives
> you a convenient method to temporarily pause the display (just have access
> to the Timer's stop() and start() methods).
>
>
> This sounds like a great idea! This would allow the plot windows to deal
> with the updating on their own, so the thread dealing with the getting the
> data from the instrument does not need to care about the plots. I have no
> clue about Timers, though... can you point me in the right direction?
>

An example using a Timer for plotting is at:

https://github.com/newville/wxmplot/blob/master/examples/stripchart.py

>
the data generation there is deliberately simple but should give the basic
idea.

--Matt

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