Daniel F Daniel F -3 years ago 153
Python Question

Make interactive matplotlib window not pop to front on each update (Windows 7)

Today I upgraded matplotlib to version 2.0.2, after not upgrading for possibly 3 years.

Now I have the problem that in interactive plots the window always comes to the front, as if this here make matplotlib plotting window pop up as the active one had come to be the default behaviour.

How can I deactivate it? I don't want the window to come to front every 5 seconds and raise over my text editor, browser, ...

I want it to stay in the z-ordering where I've placed it, be it to front or behind an active window.

I believe that the following commit from 31 Jan 2016 is responsible for this problematic behaviour: tkagg: raise each new window; partially addresses #596

Found a related comment on Github https://github.com/matplotlib/matplotlib/issues/596#issuecomment-305298577

it appears that it is my call to

which is causing this issue, and not the

Answer Source

Changing the backend

The issue seems only present using the Tk backend. Using the Qt backend, the window would stay where it was while updating with plt.pause.

To change the backend use those lines at the beginning of your script.

import matplotlib
matplotlib.use("Qt4agg") # or "Qt5agg" depending on you version of Qt

Modifying plt.pause

If changing the backend is not an option, the following might help. The cause of the window constantly popping up to the front comes from plt.pause calling plt.show() internally. You therefore implement you own pause function, without calling show. This requires to be in interactive mode plt.ion() first and then at least once call plt.show(). Afterwards you may update the plot with the custom mypause function as shown below.

import matplotlib
import matplotlib.pyplot as plt
from time import time
from random import random

# set up the figure
fig = plt.figure()


def mypause(interval):
    backend = plt.rcParams['backend']
    if backend in matplotlib.rcsetup.interactive_bk:
        figManager = matplotlib._pylab_helpers.Gcf.get_active()
        if figManager is not None:
            canvas = figManager.canvas
            if canvas.figure.stale:

t0 = time()
t = []
y = []
while True:
    t.append( time()-t0 )
    y.append( random() )
    plt.plot( t , y )

Using an animation.

Finally, using a matplotlib.animation class would render all of the above obsolete. An example for matplotlib.animation.FuncAnimation is shown on the matplotlib page.

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