Obtaining the figure manager via the OO interface in Matplotlib - matplotlib

Question

I want to be able to get the figure_manager of a created figure:
e.g. I can do it with the pyplot interface using:
from pylab import*
figure()
plot(arange(100))
mngr = get_current_fig_manager()
However what if I have a few figures:
from pylab import *
fig0 = figure()
fig1 = figure()
plot(arange(100))
mngr = fig0.get_manager() #DOES NOT WORK - no such method as Figure.get_manager()
however, searching carefully through the figure API, http://matplotlib.org/api/figure_api.html, was not useful. Neither was auto-complete in my IDE on an instance of a figure, none of the methods / members seemed to give me a 'manager'.
So how do I do this and in general, where should I look if there is a pyplot method whose analogue I need in the OO interface?
PS: what kind of an object is returned by get_current_fig_manager() anyway?
In the debugger i get:
type(get_current_fig_manager())
<type 'instance'>
which sounds pretty mysterious...

Answer 1

Good question. Your right, the docs don't say anything about being able to get the manager or the canvas. From experience of the code the answer to your question is:
>>> import matplotlib.pyplot as plt
>>> a = plt.figure()
>>> b = plt.figure()
>>> a.canvas.manager
<matplotlib.backends.backend_tkagg.FigureManagerTkAgg instance at 0x1c3e170>
>>> b.canvas.manager
<matplotlib.backends.backend_tkagg.FigureManagerTkAgg instance at 0x1c42ef0>
The best place to find out about this stuff is by reading the code. In this case, I knew I wanted to get the canvas so that I could get hold of the figure manager, so I looked at the set_canvas method in figure.py and found the following code:
def set_canvas(self, canvas):
"""
Set the canvas the contains the figure
ACCEPTS: a FigureCanvas instance
"""
self.canvas = canvas
From there, (as there was no get_canvas method), I knew where the canvas was being stored and could access it directly.
HTH