Updating matplotlib plot in tkinter gui via another process

问题

I have an interface that I am writing using tkinter. Inside that interface, I have a matplotlib plot. In the background, I have zmq connecting to a server to get data. I am using python's multiprocessing module with a Queue sharing data and a Process running for all of the zmq communication.

In the GUI, I can set up a button to update the plot with the following function:

def addData(self):
    if not self.data.empty():
        print "Have Data!"
        self.hist.addQueue(self.data)
        self.hist.updatePlot()
    else:
        print "No Data"

However, if I try to create another process that basically puts this inside of a while True, I get the following error:

X Error of failed request:  RenderBadPicture (invalid Picture parameter)
  Major opcode of failed request:  139 (RENDER)
  Minor opcode of failed request:  7 (RenderFreePicture)
  Picture id in failed request: 0x160000a
  Serial number of failed request:  2686
  Current serial number in output stream:  2690
[xcb] Unknown sequence number while processing queue
[xcb] Most likely this is a multi-threaded client and XInitThreads has not been called
[xcb] Aborting, sorry about that.
python: ../../src/xcb_io.c:274: poll_for_event: Assertion `!xcb_xlib_threads_sequence_lost' failed.
fish: Job 1, “python clientGUI.py ” terminated by signal SIGABRT (Abort)

I can't find anything about this error that seems to be related to anything that I'm doing.

I can provide other parts of my code if needed, but there's a good bit of code that I didn't want to floood the question with.

回答1:

Excuse me for not following your post-mortem trails

STEP 0: (re)-align the concept of components

motto: while debugging a mis-directed architecture is possible, the resulting efficiency is rather low compared to a better and a more straightforward design

Component Inventory:

Tkinter is a very smart framework that works around .mainloop() ( a central scheduler ) and allows for a soft-real-time scheduling of additional tasks / incl. a planned/scheduled querying of a pool of messaging agents.

Queue is a mediator-service that on one endpoint receives any message(s) and delivers (all of such messages ) to the opposite endpoint. Due to the unmanaged context-less delivery of all messages to the receiving point, the Queue-based automation is not feasible for the GUI-refresh functionality agent in a distributed system with soft-scheduling. ( ref. remarks below on a state-full-GraphModelAGENT, that is better equipped for the task of co-integration with Tkinter.mainloop()

Process allow to run separate sub-processes and distribute roles not only via Tkinter tasks ( called in pre-scribed time slots via time-triggered .mainloop() and/or event-triggered callback(s) ) but also to run a fully self-contained <<_aStateFullGraphAGENT_>>, that will have two responsibilities:

[a] communicate with Tkinter to update in-sync with Tkinter's SIGRTU_aRequestToUpdate

[b] communicate with "server" to update AGENT's internal GUI-ModelPART ( without any push thereof to any third-party, the less to (over)load the GUI-VisualPART via a FIFO-Queue ( GUI-VisualPART does not have to suffer from having to handle and repaint all the "past" states of the GUI-Model, but becomes a lightweight Repaint-On-Demand process, dealing with just the most recent state of the graph ( already assembled and continuously ( async from Tkinter ... ) maintained in aStateFullGraphAGENT )

STEP 1: Solution approach

-- avoid FIFO-Queue that has to deliver all "GUI-states", that 've become obsolete

++ add aStateFullGraphAGENT to maintain the "recent" GUI-state

++ use ZeroMQ intelligent process-to-process messaging layer without any inter-thread blocking

ZeroMQ-associated messaging overhead is in the order of microseconds, which does not adversely impact any Repaint-On-Demand GUI-related operations, so there is a lot of freedom to arrange the Tkinter refresh-rate, be it the .mainloop()-scheduled or event-driven.

Ref.: >>> https://stackoverflow.com/a/25769600/3666197