Develop Reference

Vispy: Using timers for visualizations wrapped in functions/classes

I am currently working on using Vispy to add visualization capabilities to a Python simulation library. I have managed to get some basic visualizations running with the data from the simulations, and am now looking at wrapping it in functions/classes so users of the libraries easily visualize the simulation (by passing the data in a specific format or something) without having to code it themselves.
However, I am having trouble figuring out the right way/best practice to get the timers working properly to update the objects as they change in time.
For example, when running the visualization as script, an example of how I have implemented the timer is using global variables and iterators similar to how it is done in the Vispy Scene "Changing Line Colors" demo on the Vispy website :
def on_timer(event):
global colormaps, line, text, pos
color = next(colormaps)
line.set_data(pos=pos, color=color)
text.text = color
timer = app.Timer(.5, connect=on_timer, start=True)
But when I wrap the entire visualization script in a function/class, I am having trouble getting the timer to work correctly given the difference in scopes of the variables now. If anyone could give some idea of the best way to achieve this that would be great.
EDIT:
I have made an extremely simplified visualization that might be similar to some of the expected use cases. The code when run as a stand alone python script is:
import numpy as np
from vispy import app, scene
# Reproducible data (oscillating wave)
time = np.linspace(0, 5, 300)
rod_positions = []
for t in time:
wave_position = []
for i in range(100):
wave_position.append([0, i, 20 * (np.cos(t + i / 10))])
rod_positions.append(wave_position)
rod_positions = np.array(rod_positions)
# Prepare canvas
canvas = scene.SceneCanvas(keys="interactive", size=(800, 600), bgcolor="black")
canvas.measure_fps()
# Set up a view box to display the image with interactive pan/zoom
view = canvas.central_widget.add_view()
view.camera = scene.TurntableCamera()
rod = scene.visuals.Tube(
points=rod_positions[0], radius=5, closed=False, tube_points=16, color="green",
)
view.add(rod)
view.camera.set_range()
text = scene.Text(
f"Time: {time[0]:.4f}",
bold=True,
font_size=14,
color="w",
pos=(80, 30),
parent=canvas.central_widget,
)
update_counter = 0
max_updates = len(time) - 1
def on_timer_update(event):
global update_counter
update_counter += 1
if update_counter >= max_updates:
timer.stop()
canvas.close()
# Update new rod position and radius
rod_new_meshdata = scene.visuals.Tube(
points=rod_positions[update_counter],
radius=5,
closed=False,
tube_points=16,
color="green",
)._meshdata
rod.set_data(meshdata=rod_new_meshdata)
text.text = f"Time: {time[update_counter]:.4f}"
# Connect timer to app
timer = app.Timer("auto", connect=on_timer_update, start=True)
if __name__ == "__main__":
canvas.show()
app.run()
My attempt at wrapping this in a class is the following:
import numpy as np
from vispy import app, scene
class Visualizer:
def __init__(self, rod_position, time) -> None:
self.rod_positions = rod_position
self.time = time
self.app = app.application.Application()
# Prepare canvas
self.canvas = scene.SceneCanvas(keys="interactive", size=(800, 600), bgcolor="black")
self.canvas.measure_fps()
# Set up a view box to display the image with interactive pan/zoom
self.view = self.canvas.central_widget.add_view()
self.view.camera = scene.TurntableCamera()
self.update_counter = 0
self.max_updates = len(time) - 1
def _initialize_objects(self):
self.rod = scene.visuals.Tube(
points=self.rod_positions[0], radius=5, closed=False, tube_points=16, color="green",
)
self.view.add(self.rod)
self.view.camera.set_range()
self.text = scene.Text(
f"Time: {self.time[0]:.4f}",
bold=True,
font_size=14,
color="w",
pos=(80, 30),
parent=self.canvas.central_widget,
)
def update_timer(self, event):
self.update_counter += 1
if self.update_counter >= self.max_updates:
self.timer.stop()
self.canvas.close()
# Update new rod position and radius
rod_new_meshdata = scene.visuals.Tube(
points=self.rod_positions[self.update_counter],
radius=5,
closed=False,
tube_points=16,
color="green",
)._meshdata
self.rod.set_data(meshdata=rod_new_meshdata)
self.text.text = f"Time: {self.time[self.update_counter]:.4f}"
def run(self):
self._initialize_objects()
# Connect timer to app
self.timer = app.Timer("auto", connect=self.update_timer, start=True, app=self.app)
self.canvas.show()
self.app.run()
if __name__ == "__main__":
# Reproducible data (oscillating wave)
time = np.linspace(0, 5, 150)
rod_positions = []
for t in time:
wave_position = []
for i in range(100):
wave_position.append([0, i, 20 * (np.cos(2 * t + i / 10))])
rod_positions.append(wave_position)
rod_positions = np.array(rod_positions)
Visualizer = Visualizer(rod_positions, time)
Visualizer.run()
It seems to be working now which is good. However this is a minimal reproduction of my problem, so I would just like to make sure that this is the optimal/intended way. As a side note, I also feel as if my way of updating the rod by generating the meshdata and updating the rod in the view with this meshdata is not optimal and slowing the visualization down (it runs at around 10fps). Is the update loop itself optimal?
Thanks

Thanks for updating your question with your example. It makes it much easier to answer and continue our conversation. I started a pull request for VisPy about this topic where I add some examples that use Qt timers and Qt background threads. I hope to finish the PR in the next month or two so if you have any feedback please comment on it:
https://github.com/vispy/vispy/pull/2339
Timers
In general timers are a good way to update a visualization in a GUI event loop friendly way. However, in most GUI frameworks the timer is executed in the current GUI thread. This has the benefit that you can call GUI/drawing functions directly (they are in the same thread), but has the downside that any time you spend in your timer callback is time you're taking away from the GUI framework in order to respond to user interaction and redraw the application. You can see this in my timer example in the above PR if you uncomment the extra sleep line. The GUI basically stops responding while it is running the timer function.
I have a little message on GUI threads and event loops in the vispy FAQ here.
Threads
Threads are a good way around the limitations of timers, but come with a lot of complexities. Threads are also usually best done in a GUI-framework specific manner. I can't tell from your post if you are doing Qt or some other backend, but you will probably get the most bang for your buck by using the GUI framework specific thread functionality rather than generic python threads. If an application that works across GUI frameworks is what you're looking for then this likely isn't an option.
The benefit of using something like a QThread versus a generic python thread is that you can use things like Qt's signals and slots for sending data/information between the threads.
Note that as I described in the FAQ linked above that if you use threads you won't be able to call the set_data methods directly in your background thread(s). You'll need to send the data to the main GUI thread and then have it call the set_data method.
Suggestions
You are correct that your creation of a new Tube visual that you only use for extracting mesh data is a big slow down. The creation of a Visual is doing a lot of low-level GL stuff to get ready to draw the Visual, but then you don't use it so that work is essentially wasted time. If you can find a way to create the MeshData object yourself without the Visual you should see a speed up, but if you have a lot of data switching to threads is likely still needed.
I'm not sure how much this example's design resembles what you're really doing, but I would consider keeping the Application, Timer, and Visualizer classes separate. I'm not sure I can give you a good reason why, but something about creating these things in a singe class worries me. In general I think the programming concept of dependency injection applies here: don't create your dependencies inside your code, create them outside and pass them as arguments to your code. Or in the case of the Application and Timer, connect them to the proper methods on your class. If you have a much larger application then it may make sense to have a class that wraps all of the Vispy canvas and data updating logic, another one just for the outer GUI window, and then another for a data generation class. Then in the bottom if main block of code create your application, your timer, your canvas wrapper, your main window (passing the canvas wrapper if needed), and connect them all together.
Other thoughts
This is a problem I want to make easier for vispy users and scientific python programmers in general so let me know what I'm missing here and we'll see what kind of ideas we can come up with. Feel free to comment and provide feedback on my pull request. Do you have other ideas for what the examples should be doing? I have plans for additional fancier examples in that PR, but if you have thoughts about what you'd like to see let me know.

What range does mainloop() have over code?

I would like to make a python tkinter window with custom-moving widgets on a canvas to simulate motion. For now, I have one canvas, and one not-moving oval widget. I am having problems at the base level; mainloop(). I understand that it runs in wait for the user to do something, but I am having a hard time seeing:
How to control/see exactly what code mainloop() is reiterating (where, and only tkinter?);
How to properly interrupt it and return to it from another function, if it doesn't do it itself;
What code should be reiterated? All tkinter objects, or only updating changing ones? Use some kind of update operation instead? Finally;
What is the functionality difference between tkinter.mainloop() and window.mainloop()? Perhaps the previous questions will answer.
I have minor experience with Swift, and started learning the very similar Python yesterday evening. I've tried probably hundred of mutations to my code, which currently is in the test stage. I have moved everything in and out of the apparent range of the mainloop, and even got several hundred tiny Python windows all over the screen. Everything does one of two things: it does nothing, or gives me an error. Since I don't know what is even running, or if it is running, I can't diagnose anything. My goal is simply to move a circle one hundred pixels repeatedly. I've scanned around for sources, but—it may be me—a clear one is scarce. I have my code here all marked up. This page is closest to what I am looking for: Move a ball inside Tkinter Canvas Widget (simple Arkanoid game). Everything appears to be under mainloop. So, everything is redrawn every pass? Here, unfortunately, is my whole script; I can't only show pieces. It, for some reason, only brings up a small window, not a full-screen one. (Edit: I seem to have lost the screen size code)
import tkinter
import time
# Initial values for circle's corners and start idicator ('b'):
x1 = 10
y1 = 10
x2 = 210
y2 = 210
b = 0
# Window ('window')
window = tkinter.Tk()
# Canvas ('area')
area = tkinter.Canvas(window, width=1368, height=650)
area.place(x=0, y=0)
# Ovals to be placed on 'area'
oval1 = area.create_oval(x1,y1,x2,y2,fill='#42befe')
oval2 = area.create_oval(100,10,300,210,fill='#d00000')
# Turns b to 1 to start shifting when 'butt' is pressed:
def startFunc():
b = 1
print('b = 1')
# My button to activate 'startFunc'
butt = tkinter.Button(window, text='Start movement', command=startFunc)
butt.pack()
# Adjusts the x and y coordinates when they are fed in:
def Shift(A, B, C, D):
print('Shift activated.')
window.after(1000)
print('Edit and return:')
A += 100
B += 100
C += 100
D += 100
return(A, B, C, D)
# Problems start about here: my Mainloop section;
# I have little idea how this is supposed to be.
while True:
if b == 1:
# Takes adjusted tuple
n = Shift(x1, y1, x2, y2)
print('Returned edited tuple.')
# Changes coordinates
x1 = n[0]
y1 = n[1]
x2 = n[2]
y2 = n[3]
print(f'{x1}, {y1}, {x2}, and {y2}')
# Reiterate moving oval
oval1 = area.create_oval(x1,y1,x2,y2,fill='#42befe')
#Does this re-run 'window' relations outside here, or only within the 'while'?
window.mainloop()
It ought to show a 1368 by 650 window, not a tiny one. The button does nothing but print, which means the final 'while' is not running, despite the mainloop. It want it to loop inside the 'while' line, which should adjust coordinates and move my blue circle. The iteration may NOT touch the initial values, or else it would reset them.

In effect, calling mainloop is the same as if you added this to your code instead of calling mainloop():
while the_program_is_running():
event = wait_for_event()
process_the_event(event)
As a rule of thumb, mainloop() should be called exactly once after the UI has initialized and you are ready for the user to start interacting with your program. When it exits, you typically won't have any code after it, and your program will exit.
How to control/see exactly what code mainloop() is reiterating (where, and only tkinter?);
I don't know what you mean by "reiterating". It doesn't run any code except it's own internal code. It simply waits for events, and then dispatches them to handlers.
How to properly interrupt it and return to it from another function, if it doesn't do it itself;
It's exceedingly rare to do this in a running program. Typically, calling mainloop is the last thing your program does before the user starts interacting with it, and as soon as it exits your program quits.
However, to answer the specific answer of how to interrupt it, you can call the quit method of the root window. That will cause the most recent call to mainloop() to return.
What code should be reiterated? All tkinter objects, or only updating changing ones? Use some kind of update operation instead?
That question is hard to answer because it doens't make much sense. When you call mainloop(), it will watch for all events on all tkinter objects.
What is the functionality difference between tkinter.mainloop() and window.mainloop()
They have exactly the same effect and behavior. Tkinter oddly chose to make mainloop available from any widget. The most common way to call it is from either the tkinter module itself, or from the root window.
My goal is simply to move a circle one hundred pixels repeatedly.
The normal way to do that is to create a function that moves it one hundred pixels. Then, that function (-- or a function that calls it -- can put itself on an event queue to be run in the future.
For example, the following code will move a canvas object 100 pixels every second until the program exits:
def move_object():
the_canvas.move(item_id, 100, 0)
the_canvas.after(1000, move_object)
When it is called, it will move the item 100 pixels to the right. Then, it will place a new call to itself on the event queue to be picked up and handled in approximately 1000 milliseconds.
There are many working examples of using after on this site, including the question you linked to in your question.
Everything appears to be under mainloop. So, everything is redrawn every pass?
No, not exactly. The only objects that are redrawn are things that need to be redrawn. Moving objects on a canvas, resizing a window, dragging another window over your window, etc, all place an event on the event queue that tells tkinter "this object needs to be redrawn". The processing of that event happens automatically by mainloop. If nothing is happening in your application, nothing gets redrawn by mainloop.
It ought to show a 1368 by 650 window, not a tiny one
That is because you haven't given the main window a size. You've given the canvas a size, but you're using place which won't cause the containing window to grow or shrink to fit. As a beginner, you should completely avoid place and instead use pack or grid, because pack and grid will both automatically size your window to fit everything inside.
While it's tempting to use place for its perceived simplicity, in reality it usually requires you to do a lot more work than if you used one of the other geometry managers, and it results in a GUI that isn't particularly responsive to change.
while True:
You should almost never do this in tkinter. Tkinter -- and almost all event based programs -- rely on a steady flow of events. When you have an infinite loop, it cannot process those events. You can put an explicit call to update the screen inside your loop, but that is inefficient and should be avoided. If you need to do something periodically, create a function that encapsulates the body of your loop, then use after to get mainloop to run it while it is processing events.
window.after(1000)
You should almost never use after this way without a second argument. This usage is functionally no different than calling time.sleep(1) in that it prevents mainloop from processing events. You should structure your code to allow for a steady stream of events to be processed by mainloop.
while True: ... window.mainloop()
You definitely need to avoid calling mainloop inside a loop. A well behaved tkinter program should call mainloop() exactly once.

Simple animation with Tkinter Python

I've searched for a simple animation code with Tkinter but I've found very different examples and I can't understand the correct way to write an animation.
Here my working code to display a simple moving circle:
import tkinter as tk
import time
root=tk.Tk()
canvas=tk.Canvas(root,width=400,height=400)
canvas.pack()
circle=canvas.create_oval(50,50,80,80,outline="white",fill="blue")
def redraw():
canvas.after(100,redraw)
canvas.move(circle,5,5)
canvas.update()
canvas.after(100,redraw)
root.mainloop()
In this code I can't correctly understand: how the after method works, where correctly put the update and the move method (before after method ?), is there another way to write an animation code? may you post me another example and comment the code please?
Thanks :)

Calling update
You should not call canvas.update(). As a general rule of thumb you should never call update. For a short essay on why, see this essay written by one of the original developers of the underlying tcl interpreter.
If you take out the call to canvas.update(), you have the proper way to do animation in a tkinter program.
Calling after to start the animation
You don't need to call after immediately before calling root.mainloop(). This works just as well:
...
redraw()
root.mainloop()
The choice to use or not use after in this specific case is dependent on if you want the animation to start immediately (possibly even before the widget is visible) or if you want it to happen after a short delay (possibly after the widget is made visible)
How after works
mainloop is nothing more than an infinite loop that checks the event queue for events. When it finds an event, it pops it off of the list and processes it. after is nothing more than making a request that says "in 100 ms, please add a new event to the queue". When the time limit expires, an event is added to the queue that says, in effect, "run this command". The next time the loop checks for events, it sees this event, pulls it off of the queue, and runs the command.
When you call after from within a method that itself was called by after, you're saying in effect "wait 100ms and do it again", creating an infinite loop. If you put the call to after before moving the object, you're saying "every 100ms run this function". If you put it after you're saying "run this function 100 ms after the last time it was run". The difference is very subtle and usually not perceptible unless your function takes a long time to run.

my code is:
from tkinter import *
import time
tk = Tk()
płótno = Canvas(tk, width=500, height=500)
płótno.pack()
płótno.create_polygon(10,10,10,70,70,10,fill="blue",outline="black")
for x in range(0,51):
płótno.move(1,5,0)
płótno.update()
rest(0.05)
płótno means canvas

Understanding performance limitations of the Tkinter Canvas

I've created a simple application to display a scatterplot of data using Tkinter's Canvas widget (see the simple example below). After plotting 10,000 data points, the application becomes very laggy, which can be seen by trying to change the size of the window.
I realize that each item added to the Canvas is an object, so there may be some performance issues at some point, however, I expected that level to be much higher than 10,000 simple oval objects. Further, I could accept some delays when drawing the points or interacting with them, but after they are drawn, why would just resizing the window be so slow?
After reading effbot's performance issues with the Canvas widget it seems there may be some unneeded continuous idle tasks during resizing that need to be ignored:
The Canvas widget implements a straight-forward damage/repair display
model. Changes to the canvas, and external events such as Expose, are
all treated as “damage” to the screen. The widget maintains a dirty
rectangle to keep track of the damaged area.
When the first damage event arrives, the canvas registers an idle task
(using after_idle) which is used to “repair” the canvas when the
program gets back to the Tkinter main loop. You can force updates by
calling the update_idletasks method.
So, the question is whether there is any way to use update_idletasks to make the application more responsive once the data has been plotted? If so, how?
Below is the simplest working example. Try resizing the window after it loads to see how laggy the application becomes.
Update
I originally observed this problem in Mac OS X (Mavericks), where I get a substantial spike in CPU usage when just resizing the window. Prompted by Ramchandra's comments I've tested this in Ubuntu and this doesn't seem to occur. Perhaps this is a Mac Python/Tk problem? Wouldn't be the first I've run into, see my other question:
PNG display in PIL broken on OS X Mavericks?
Could someone also try in Windows (I don't have access to a Windows box)?
I may try running on the Mac with my own compiled version of Python and see if the problem persists.
Minimal working example:
import Tkinter
import random
LABEL_FONT = ('Arial', 16)
class Application(Tkinter.Frame):
def __init__(self, master, width, height):
Tkinter.Frame.__init__(self, master)
self.master.minsize(width=width, height=height)
self.master.config()
self.pack(
anchor=Tkinter.NW,
fill=Tkinter.NONE,
expand=Tkinter.FALSE
)
self.main_frame = Tkinter.Frame(self.master)
self.main_frame.pack(
anchor=Tkinter.NW,
fill=Tkinter.NONE,
expand=Tkinter.FALSE
)
self.plot = Tkinter.Canvas(
self.main_frame,
relief=Tkinter.RAISED,
width=512,
height=512,
borderwidth=1
)
self.plot.pack(
anchor=Tkinter.NW,
fill=Tkinter.NONE,
expand=Tkinter.FALSE
)
self.radius = 2
self._draw_plot()
def _draw_plot(self):
# Axes lines
self.plot.create_line(75, 425, 425, 425, width=2)
self.plot.create_line(75, 425, 75, 75, width=2)
# Axes labels
for i in range(11):
x = 75 + i*35
y = x
self.plot.create_line(x, 425, x, 430, width=2)
self.plot.create_line(75, y, 70, y, width=2)
self.plot.create_text(
x, 430,
text='{}'.format((10*i)),
anchor=Tkinter.N,
font=LABEL_FONT
)
self.plot.create_text(
65, y,
text='{}'.format((10*(10-i))),
anchor=Tkinter.E,
font=LABEL_FONT
)
# Plot lots of points
for i in range(0, 10000):
x = round(random.random()*100.0, 1)
y = round(random.random()*100.0, 1)
# use floats to prevent flooring
px = 75 + (x * (350.0/100.0))
py = 425 - (y * (350.0/100.0))
self.plot.create_oval(
px - self.radius,
py - self.radius,
px + self.radius,
py + self.radius,
width=1,
outline='DarkSlateBlue',
fill='SteelBlue'
)
root = Tkinter.Tk()
root.title('Simple Plot')
w = 512 + 12
h = 512 + 12
app = Application(root, width=w, height=h)
app.mainloop()

There is actually a problem with some distributions of TKinter and OS Mavericks. Apparently you need to install ActiveTcl 8.5.15.1. There is a bug with TKinter and OS Mavericks. If it still isn't fast eneough, there are some more tricks below.
You could still save the multiple dots into one image. If you don't change it very often, it should still be faster. If you are changing them more often, here are some other ways to speed up a python program. This other stack overflow thread talks about using cython to make a faster class. Because most of the slowing down is probably due to the graphics this probably won't make it a lot faster but it could help.
Suggestions on how to speed up a distance calculation
you could also speed up the for loop by defining an iterator ( ex: iterator = (s.upper() for s in list_to_iterate_through) ) beforehand, but this is called to draw the window, not constantly as the window is maintained, so this shouldn't matter very much. Also, a another way to speed things up, taken from python docs, is to lower the frequency of python's background checks:
"The Python interpreter performs some periodic checks. In particular, it decides whether or not to let another thread run and whether or not to run a pending call (typically a call established by a signal handler). Most of the time there's nothing to do, so performing these checks each pass around the interpreter loop can slow things down. There is a function in the sys module, setcheckinterval, which you can call to tell the interpreter how often to perform these periodic checks. Prior to the release of Python 2.3 it defaulted to 10. In 2.3 this was raised to 100. If you aren't running with threads and you don't expect to be catching many signals, setting this to a larger value can improve the interpreter's performance, sometimes substantially."
Another thing I found online is that for some reason setting the time by changing os.environ['TZ'] will speed up the program a small amount.
If this still doesn't work, than it is likely that TKinter is not the best program to do this in. Pygame could be faster, or a program that uses the graphics card like open GL (I don't think that is available for python, however)

Tk must be getting bogged down looping over all of those ovals. I'm not
sure that the canvas was ever intended to hold so many items at once.
One solution is to draw your plot into an image object, then place the image
into your canvas.

Creating Toplevel widgets that are thread safe

I'm trying to learn how to use the thread module. I followed along with the instructions here: http://effbot.org/zone/tkinter-threads.htm
My hope is the test script will:
Print out the "count" every two seconds
Show a pop-up dialog window (also every 2 seconds)
The pop-ups should be allowed to accumulate (if I don't click "OK" for a while, there should be
multiple pop-ups)
However, when I run this script it will freeze the main window and after a while crash. I think I'm not implementing the thread module correctly.
Could someone please have a look and point out what I'm doing wrong?
Here is what I've tried so far:
from Tkinter import *
import thread
import Queue
import time
class TestApp:
def __init__(self, parent):
self.super_Parent = parent
self.main_container = Frame(parent)
self.main_container.pack()
self.top_frame = Frame(self.main_container)
self.top_frame.pack(side=TOP)
self.bottom_frame = Frame(self.main_container)
self.bottom_frame.pack(side=TOP)
self.text_box = Text(self.top_frame)
self.text_box.config(height=20, width=20)
self.text_box.pack()
self.queue = Queue.Queue()
self.update_me()
def show_popup(self):
self.my_popup = Toplevel(self.main_container)
self.my_popup.geometry('100x100')
self.popup_label = Label(self.my_popup, text="Hello!")
self.popup_label.pack(side=TOP)
self.pop_button = Button(self.my_popup, text="OK", command=self.my_popup.destroy)
self.pop_button.pack(side=TOP)
def write(self, line):
self.queue.put(line)
def update_me(self):
try:
while 1:
line = self.queue.get_nowait()
if line is None:
self.text_box.delete(1.0, END)
else:
self.text_box.insert(END, str(line))
self.text_box.see(END)
self.text_box.update_idletasks()
except Queue.Empty:
pass
self.text_box.after(100, self.update_me)
def pipeToWidget(input, widget):
widget.write(input)
def start_thread():
thread.start_new(start_test, (widget,))
def start_test(widget):
count = 0
while True:
pipeToWidget(str(count) + "\n", widget)
count += 1
time.sleep(2)
widget.show_popup()
root = Tk()
widget = TestApp(root)
start_button = Button(widget.bottom_frame, command=start_thread)
start_button.configure(text="Start Test")
start_button.pack(side=LEFT)
root.title("Testing Thread Module")
root.mainloop()

I can't reproduce your problem, but I can see why it would happen.
You're using the queue to pass messages from the background thread to the main thread for updating text_box, which is correct. But you're also calling widget.show_popup() from the background thread, which means it creates and displays a new Toplevel in the background thread. That's not correct.
All UI code must run in the same thread—not all UI code for each top-level window, all UI code period. On some platforms, you may get away with running each window in its own thread (or even free-threading everything), but that isn't supposed to work, and definitely will crash or do improper things on some platforms. (Also, that single UI thread has to be the initial thread on some platforms, but that isn't relevant here.)
So, to fix this, you need to do the same dance for creating the popups that you do for updating the textbox.
The obvious way to do that is to move the widget.show_popup() to the loop in update_me(). If you want it to happen 2 seconds after the textbox updates, just add self.top_frame.after(2000, self.show_popup) to the method.
But I'm guessing you're trying to teach yourself how to have multiple independent updating mechanisms, so telling you "just use a single update queue for everything" may not be a good answer. In that case, just create two queues, and a separate update method servicing each queue. Then, do your pipeToWidget, sleep 2 seconds, then pipeToPopup.
Another way around this is to use mtTkinter. It basically does exactly what you're doing, but makes it automatic, pushing each actual Tk GUI call onto a queue to be run later by the main loop. Of course your objects themselves have to be thread-safe, and this also means that you have to deal with the GUI calls from one thread getting interleaved with calls from another thread. But as long as neither of those is a problem (and they don't seem to be in your case), it's like magic.
If you want to know why this is freezing and/or crashing for you on Win7 and not for me on OS X 10.8… well, you really need to look into a mess of Tcl, C, and Python code, and also at how each thing is built. And, unless it's something simple (like your Tk build isn't free-threaded), it wouldn't tell you much anyway. The code isn't supposed to work, and if it seems to work for me… that probably just means it would work every time until the most important demo of my career, at which point it would fail.