Can I draw TKinter objects on top of an embedded FigureCanvasTkAgg? - matplotlib

shortly said:
I am creating a quick TKinter API and I firstly generate a tk.Canvas
I am embedding a FigureCanvasTkAgg canvas with master = tk.Canvas above
With this I am able to show an image via Matplotlib
Now I want to draw TKinter objects ON TOP of the FigureCanvasTkAgg canvas (e.g. rectangles or buttons)
Is this possible? Or is there any particular recommendation (i.e. using only one canvas or the other)?
Here some quick code:
import tkinter as tk
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
class MyApp(tk.Tk):
def __init__(self):
tk.Tk.__init__(self)
self.canvas = tk.Canvas(self, width=500, height=500, cursor="cross")
self.canvas.pack(side="top", fill="both", expand=True)
def draw_image_and_button(self):
self.figure_obj = Figure()
a = self.figure_obj.add_axes([0, 0, 1, 1])
imgplot = a.imshow(some_preloaded_data_array, cmap='gray')
# create tkagg canvas
self.canvas_agg = FigureCanvasTkAgg(self.figure_obj, master=self.canvas)
self.canvas_agg.draw()
self.canvas_agg.get_tk_widget().pack(side=tk.TOP, fill=tk.BOTH, expand=1)
# attempt to draw rectangle
self.rectangle = self.canvas.create_rectangle(0, 0, 100, 100, fill='red')
if __name__ == "__main__":
app = MyApp()
app.draw_image()
app.mainloop()
I mean I see that the rectangle is being drawn before the image. Maybe its my lack of understanding on how FigureCanvasTkAgg is attached to tk.canvas
Thank you!

Ok, this is an app that I recently developed where I have matplotlib widgets and mouse events. You can also have tkinter widgets but I didn't find a way to put them on top of the matplolib canvas. Personally I like matplotlib widgets more than tkinter widgets, so I think it is not too bad.
The only pre-step that you have to take is to modify matplotlib source code because you need pass the canvas to the widget class, while by default the widget takes the figure canvas which will not work when embedding in tk (button would be unresponsive). The modification is actually quite simple, but let's go in order.
Open 'widgets.py' in the matplotlib folder (depending on where you installed it, in my case I have it in "C:\Program Files\Python37\Lib\site-packages\matplotlib").
Go to the class AxesWidget(Widget) (around line 90) and modify the __init__ method with the following code:
def __init__(self, ax, canvas=None):
self.ax = ax
if canvas is None:
self.canvas = ax.figure.canvas
else:
self.canvas = canvas
self.cids = []
As you can see compared to the original code I added a keyword argument canvas=None. In this way the original functionality is mantained, but you can now pass the canvas to the widget.
To have a responsive button on the matplolib canvas that is embedded in tk you now create a widget and you pass the matplolib canvas created with FigureCanvasTkAgg. For example for a Buttonyou would write
from matplotlib.widgets import Button
ok_button = Button(ax_ok_button, 'Ok', canvas=canvas) # canvas created with FigureCanvasTkAgg
Ok now we have all the functionalities required to have matplolib widgets on the matplolib canvas embedded in tk, plus you can also have mouse and key events, which I guess covers 95% of what you expect from a GUI. Note that if you don't want to modify the original source code you can, of course, create your own class copying AxesWidget class.
You find all the available matplolib widgets here https://matplotlib.org/3.1.1/api/widgets_api.html
Here is a modified version of your app where we put everything together:
import tkinter as tk
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2Tk
from matplotlib.figure import Figure
from matplotlib.widgets import Button
import numpy as np
class MyApp(tk.Tk):
def __init__(self):
tk.Tk.__init__(self)
self.canvas = tk.Canvas(self, width=500, height=500, cursor="cross")
self.canvas.pack(side="top", fill="both", expand=True)
def draw_image_and_button(self):
self.figure_obj = Figure()
self.ax = self.figure_obj.add_subplot()
self.figure_obj.subplots_adjust(bottom=0.25)
some_preloaded_data_array = np.zeros((600,600))
imgplot = self.ax.imshow(some_preloaded_data_array, cmap='gray')
# create tkagg canvas
self.canvas_agg = FigureCanvasTkAgg(self.figure_obj, master=self.canvas)
self.canvas_agg.draw()
self.canvas_agg.get_tk_widget().pack(side=tk.TOP, fill=tk.BOTH, expand=1)
# add matplolib toolbar
toolbar = NavigationToolbar2Tk(self.canvas_agg, self.canvas)
toolbar.update()
self.canvas_agg._tkcanvas.pack(side=tk.TOP, fill=tk.BOTH, expand=1)
# add matplolib widgets
self.ax_ok_B = self.figure_obj.add_subplot(position=[0.2, 0.2, 0.1, 0.03]) # axes position doesn't really matter here because we have the resize event that adjusts widget position
self.ok_B = Button(self.ax_ok_B, 'Ok', canvas=self.canvas_agg)
# add tkinter widgets (outside of the matplolib canvas)
button = tk.Button(master=self, text="Quit", command=self._quit)
button.pack(side=tk.BOTTOM)
# Connect to Events
self.ok_B.on_clicked(self.ok)
self.canvas_agg.mpl_connect('button_press_event', self.press)
self.canvas_agg.mpl_connect('button_release_event', self.release)
self.canvas_agg.mpl_connect('resize_event', self.resize)
self.canvas_agg.mpl_connect("key_press_event", self.on_key_press)
self.protocol("WM_DELETE_WINDOW", self.abort_exec)
def abort_exec(self):
print('Closing with \'x\' is disabled. Please use quit button')
def _quit(self):
print('Bye bye')
self.quit()
self.destroy()
def ok(self, event):
print('Bye bye')
self.quit()
self.destroy()
def press(self, event):
button = event.button
print('You pressed button {}'.format(button))
if event.inaxes == self.ax and event.button == 3:
self.xp = int(event.xdata)
self.yp = int(event.ydata)
self.cid = (self.canvas_agg).mpl_connect('motion_notify_event',
self.draw_line)
self.pltLine = Line2D([self.xp, self.xp], [self.yp, self.yp])
def draw_line(self, event):
if event.inaxes == self.ax and event.button == 3:
self.yd = int(event.ydata)
self.xd = int(event.xdata)
self.pltLine.set_visible(False)
self.pltLine = Line2D([self.xp, self.xd], [self.yp, self.yd], color='r')
self.ax.add_line(self.pltLine)
(self.canvas_agg).draw_idle()
def release(self, event):
button = event.button
(self.canvas_agg).mpl_disconnect(self.cid)
print('You released button {}'.format(button))
def on_key_press(self, event):
print("you pressed {}".format(event.key))
# Resize event is needed if you want your widget to move together with the plot when you resize the window
def resize(self, event):
ax_ok_left, ax_ok_bottom, ax_ok_right, ax_ok_top = self.ax.get_position().get_points().flatten()
B_h = 0.08 # button width
B_w = 0.2 # button height
B_sp = 0.08 # space between plot and button
self.ax_ok_B.set_position([ax_ok_right-B_w, ax_ok_bottom-B_h-B_sp, B_w, B_h])
print('Window was resized')
if __name__ == "__main__":
app = MyApp()
app.draw_image_and_button()
app.mainloop()
Ok let's see the functionalities of this app:
Press a key on the keyboard → print the pressed key
Press a mouse button → print the pressed button (1 = left, 2 = wheel, 3 = right)
Release a mouse button → print the released button
Press the right button on any point on the plot and draw a line while keeping the mouse button down
Press ok or quit to close the application
Pressing 'x' to close the window is disabled.
Resize the window → Plot and widgets scales accordingly
I also took the liberty to add the classic matplotlib toolbar for other functionalities like zooming.
Note that the image plot is added with add_suplot() method which adds the resizing functionality. In this way when you resize the window the plot scales accordingly.
Most of the things I implemented you also find them on the official tutorial from matplotlib on how to embed in tk (https://matplotlib.org/3.1.3/gallery/user_interfaces/embedding_in_tk_sgskip.html).
Let me know if this answers your question. I wanted to share it because I actually developed something very similar a few days ago.

Related

pyqt5 QLabel Image setScaledContents(True) don't allow Qpainter updates

I want to display an image and put a marker at the current mouse position for every left mouse click.
Below code does the job however, it works only if ("self.imglabel.setScaledContents(True)") is commented. Any reason?
I have to do this job on various images of different resolutions, I read to maintain the proper aspect ratio and display the image appropriately we need to use setScaledContents(True). But why enabling this is not allowing update() (PaintEvent)??
import sys
from PyQt5.QtCore import Qt, QPoint
from PyQt5.QtWidgets import QMainWindow, QApplication, QLabel, QSizePolicy, QMessageBox
from PyQt5.QtGui import QPixmap, QPainter, QPen, QColor, QImage, QPalette
class Menu(QMainWindow):
def __init__(self):
super().__init__()
self.central_widget = QWidget() # define central widget
self.setCentralWidget(self.central_widget)
self.vbox = QVBoxLayout(self.central_widget)
self.vbox.addWidget(self.imgWidget())
self.vbox.addWidget(QPushButton("test"))
def imgWidget(self):
self.imglabel = QLabel()
self.imglabel.setScaledContents(True)
self.image = QImage("calib.jpeg")
self.imagepix = QPixmap.fromImage(self.image)
self.imglabel.setPixmap(self.imagepix)
self.imglabel.mousePressEvent = self.imgMousePress
return self.imglabel
def imgMousePress(self, e):
painter = QPainter(self.imglabel.pixmap())
pen = QPen()
pen.setWidth(10)
pen.setColor(QColor('red'))
painter.setPen(pen)
painter.drawPoint(e.x(), e.y())
painter.end()
self.imglabel.update()
if __name__ == '__main__':
app = QApplication(sys.argv)
mainMenu = Menu()
mainMenu.show()
sys.exit(app.exec_())
To avoid unnecessary computation for each paintEvent of the QLabel, whenever the scaledContents property is True the scaled image is cached, and all the painting is automatically discarded.
To avoid that, you should create a new instance of QPixmap using the existing one, and then set the new painted pixmap again. Note that if the image is scaled, the widget coordinates won't reflect the actual position on the pixmap, so you need to use a transformation to get the actual point to paint at.
def imgMousePress(self, e):
pm = QPixmap(self.imglabel.pixmap())
painter = QPainter(pm)
pen = QPen()
pen.setWidth(10)
pen.setColor(QColor('red'))
painter.setPen(pen)
transform = QTransform().scale(
pm.width() / self.imglabel.width(),
pm.height() / self.imglabel.height())
painter.drawPoint(transform.map(e.pos()))
painter.end()
self.imglabel.setPixmap(pm)
Consider that all the "points" will become stretched rectangles if the width/height ratio is not the same of the source image, but this is only a problem of appearance: if you save the pixmap later, they will be squares again, since saving is based on the source pixmap.
If you want to keep their squared shape while displaying instead, you'll need to keep track of the points and overwrite paintEvent to paint them manually on the label.

Remove option from NavigationToolbar2TkAgg?

I'm learning how to use matplotlib, and now I have a problem. When I create a Figure in "tkinter project" and give it a subplot, I use NavigationToolbar2TkAgg to create a toolbar. In the current toolbar that appears , i want to remove the configure subplot option but couldn't find a way to do so.
Is there any way to do it?
The solution to this is in principle already given in this question: How to modify the navigation toolbar easily in a matplotlib figure window?
But it may not be obvious how to use it. So we may adapt the code from here with a CustomToolbar. The Toolbars toolitems attribute can be changed as to remove the unwanted "Subplots" button.
import numpy as np
import Tkinter as tk
import matplotlib as mpl
from matplotlib.patches import Rectangle
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
# custom toolbar with lorem ipsum text
class CustomToolbar(NavigationToolbar2TkAgg):
toolitems = filter(lambda x: x[0] != "Subplots", NavigationToolbar2TkAgg.toolitems)
class MyApp(object):
def __init__(self,root):
self.root = root
self._init_app()
# here we embed the a figure in the Tk GUI
def _init_app(self):
self.figure = mpl.figure.Figure()
self.ax = self.figure.add_subplot(111)
self.canvas = FigureCanvasTkAgg(self.figure,self.root)
self.toolbar = CustomToolbar(self.canvas,self.root)
self.toolbar.update()
self.plot_widget = self.canvas.get_tk_widget()
self.plot_widget.pack(side=tk.TOP, fill=tk.BOTH, expand=1)
self.toolbar.pack(side=tk.TOP, fill=tk.BOTH, expand=1)
self.canvas.show()
# plot something random
def plot(self):
self.ax.plot([1,3,2])
self.figure.canvas.draw()
def main():
root = tk.Tk()
app = MyApp(root)
app.plot()
root.mainloop()
if __name__ == "__main__":
main()
Note: In newer versions of matplotlib you should use NavigationToolbar2Tk instead of NavigationToolbar2TkAgg

How to force redraw of a widget after changing some of its attributes?

Inside the call-back associated with a matplotlib.widgets.Slider instance, I want to modify the Slider valmin, valmax and val attributes, and then re-draw the Slider. When I try to re-draw it, nothing happens.
Before the call-back completes, I call plt.draw() and, while the rest of the plot is correctly updated, the Slider looks the same as before. I also tried calling draw() on the Axes of the Slider, and again no visible change.
How can I force a re-draw of the Slider instance after changing its attributes?
Thansk!
UPDATE
Here a small program that demonstrates the issue (with a crude dialog). The wanted behavior is that by clicking on a different value of the radio button, the slider changes range of values, current value and label. What happens instead is that when clicking on "Gradient" the slider stops responding (cannot be dragged anymore), and when clicking on "Gradient" or "Channel" the slider is not updated, in spite of a call to plt.draw()
from matplotlib import pyplot as plt
from matplotlib import gridspec
from matplotlib.widgets import Slider, RadioButtons
# Set the grid
grid = gridspec.GridSpec(2, 1, height_ratios=[1, 2])
# Plot the sliders
axes_slider = plt.subplot(grid[0, 0])
slider = Slider(axes_slider, 'Channel', valmin=0, valmax=255, valinit=128)
# Plot the radio buttons
axes_button = plt.subplot(grid[1, 0])
button = RadioButtons(axes_button, ('Gradient', 'Channel'), active=1)
plt.tight_layout(h_pad=0)
plt.subplots_adjust(left=.2, right=.9)
def update(_):
take_gradient = True if button.value_selected == 'Gradient' else False
if take_gradient:
slider.valmin = -1
slider.valmax = 1
slider.val = 0
slider.label= 'Gradient'
slider.valinit = 0
else:
slider.valmin = 0
slider.valmax = 255
slider.val = 128
slider.label = 'Channel'
slider.valinit = 128
plt.draw()
# Register call-backs with widgets
slider.on_changed(update)
button.on_clicked(update)
plt.show()
The slider itself is a class that hosts and manages some parameters. It does not have a draw method.
That said, it's not enough to only set the parameters of the slider, you would also need to update the axes the slider lives in. At the end this all sums up at doing exactly the steps the slider is doing a initialization, so you can simple call the silder's __init__ function.
I would strongly recommend to use two different functions, one for changing the slider that is called upon button clicks and one for things that should happen if the slider value is adjusted.
Here is a working example:
from matplotlib import pyplot as plt
from matplotlib import gridspec
from matplotlib.widgets import Slider, RadioButtons
# Set the grid
grid = gridspec.GridSpec(2, 1, height_ratios=[1, 2])
# Plot the sliders
axes_slider = plt.subplot(grid[0, 0])
slider = Slider(axes_slider, 'Channel', valmin=0, valmax=255, valinit=128)
# Plot the radio buttons
axes_button = plt.subplot(grid[1, 0])
button = RadioButtons(axes_button, ('Gradient', 'Channel'), active=1)
plt.tight_layout(h_pad=0)
plt.subplots_adjust(left=.2, right=.9)
def buttonupdate(val):
if val == "Gradient":
axes_slider.clear()
slider.__init__(axes_slider, 'Gradient', valmin=-1, valmax=1, valinit=0)
else:
axes_slider.clear()
slider.__init__(axes_slider, 'Channel', valmin=0, valmax=255, valinit=128)
plt.gcf().canvas.draw_idle()
def sliderupdate(val):
if slider.label.get_text() == 'Gradient':
#do something depending on gradient value
pass
else:
#do something depending on channel value
pass
# Register call-backs with widgets
slider.on_changed(sliderupdate)
button.on_clicked(buttonupdate)
plt.show()

Matplotlib plot in Tkinter - every update adds new NavigationToolbar?

I am working on a Tkinter-GUI to interactively generate Matplotlib-plots, depending on user-input. For this end, it needs to re-plot after the user changes the input.
I have gotten it to work in principle, but would like to include the NavigationToolbar. However, I cannot seem to get the updating of the NavigationToolbar to work correctly.
Here is a basic working version of the code (without the user input Entries):
# Import modules
from Tkinter import *
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
# global variable: do we already have a plot displayed?
show_plot = False
# plotting function
def plot(x, y):
fig = plt.figure()
ax1 = fig.add_subplot(1,1,1)
ax1.plot(x,y)
return fig
def main():
x = np.arange(0.0,3.0,0.01)
y = np.sin(2*np.pi*x)
fig = plot(x, y)
canvas = FigureCanvasTkAgg(fig, master=root)
toolbar = NavigationToolbar2TkAgg(canvas, toolbar_frame)
global show_plot
if show_plot:
#remove existing plot and toolbar widgets
canvas.get_tk_widget().grid_forget()
toolbar_frame.grid_forget()
toolbar_frame.grid(row=1,column=1)
canvas.get_tk_widget().grid(row=0,column=1)
show_plot=True
# GUI
root = Tk()
draw_button = Button(root, text="Plot!", command = main)
draw_button.grid(row=0, column=0)
fig = plt.figure()
canvas = FigureCanvasTkAgg(fig, master=root)
canvas.get_tk_widget().grid(row=0,column=1)
toolbar_frame = Frame(root)
toolbar_frame.grid(row=1,column=1)
root.mainloop()
Pressing "Plot!" once generates the plot and the NavigationToolbar.
Pressing it a second time replots, but generates a second NavigationToolbar (and another every time "Plot!" is pressed). Which sounds like grid_forget() is not working.
However, when I change
if show_plot:
#remove existing plot and toolbar widgets
canvas.get_tk_widget().grid_forget()
toolbar_frame.grid_forget()
toolbar_frame.grid(row=1,column=1)
canvas.get_tk_widget().grid(row=0,column=1)
show_plot=True
to
if show_plot:
#remove existing plot and toolbar widgets
canvas.get_tk_widget().grid_forget()
toolbar_frame.grid_forget()
else:
toolbar_frame.grid(row=1,column=1)
canvas.get_tk_widget().grid(row=0,column=1)
show_plot=True
then the NavigationToolbar does vanish when "Plot!" is pressed a second time (but then there is, as expected, no new NavigationToolbar to replace the old). So grid_forget() is working, just not as expected.
What am I doing wrong? Is there a better way to update the NavigationToolbar?
Any help greatly appreciated!
Lastalda
Edit:
I found that this will work if you destroy the NavigationToolbar instead of forgetting it. But you have to completely re-create the widget again afterwards, of course:
canvas = FigureCanvasTkAgg(fig, master=root)
toolbar_frame = Frame(root)
global show_plot
if show_plot: # if plot already present, remove plot and destroy NavigationToolbar
canvas.get_tk_widget().grid_forget()
toolbar_frame.destroy()
toolbar_frame = Frame(root)
toolbar = NavigationToolbar2TkAgg(canvas, toolbar_frame)
toolbar_frame.grid(row=21,column=4,columnspan=3)
canvas.get_tk_widget().grid(row=1,column=4,columnspan=3,rowspan=20)
show_plot = True
However, the updating approach showed by Hans below is much nicer since you don't have to destroy and recreate anything. I just wanted to highlight that the issue with my approach (apart from the inelegance and performance) was probably that I didn't use destroy().
A slightly different approach might be to reuse the figure for subsequent plots by clearing & redrawing it. That way, you don't have to destroy & regenerate neither the figure nor the toolbar:
from Tkinter import Tk, Button
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
# plotting function: clear current, plot & redraw
def plot(x, y):
plt.clf()
plt.plot(x,y)
# just plt.draw() won't do it here, strangely
plt.gcf().canvas.draw()
# just to see the plot change
plotShift = 0
def main():
global plotShift
x = np.arange(0.0,3.0,0.01)
y = np.sin(2*np.pi*x + plotShift)
plot(x, y)
plotShift += 1
# GUI
root = Tk()
draw_button = Button(root, text="Plot!", command = main)
draw_button.grid(row=0, column=0)
# init figure
fig = plt.figure()
canvas = FigureCanvasTkAgg(fig, master=root)
toolbar = NavigationToolbar2TkAgg(canvas, root)
canvas.get_tk_widget().grid(row=0,column=1)
toolbar.grid(row=1,column=1)
root.mainloop()
When you press the "Plot!" button it calls main. main creates the navigation toolbar. So, each time you press the button you get a toolbar. I don't know much about matplot, but it's pretty obvious why you get multiple toolbars.
By the way, grid_forget doesn't destroy the widget, it simply removes it from view. Even if you don't see it, it's still in memory.
Typically in a GUI, you create all the widgets exactly once rather than recreating the same widgets over and over.

Matplotlib ToolBar Icons disappear when selected in wxPython Panel

I've encountered this behaviour intermittently using the Matplotlib NavigationToolbar2Wx in a Matplotlib Figure canvas in a wx.Frame (or wx.Panel). If the Zoom Icon or Pan Icon are selected the icon disappears however a click in the vacant space still toggles the tool. The Icons for the Home, Backward step or Forward step all behave as expected.
Can anyone offer advice on 1. what causes it and 2. how to fix it?
Thanks to joaquin for posting the initial code slightly modified to include the toolbar.
(http://stackoverflow.com/questions/10737459/embedding-a-matplotlib-figure-inside-a-wxpython-panel)
I'm use python 2.6, wxPython 2.9.2.4 osx-carbon (classic) and Matplotlib 1.1.0
Thanks
The code below shows the problem:
#!/usr/bin/env python
# encoding: UTF-8
"""
wxPython and Matplotlib Canvas with Matplotlib Toolbar.py
"""
from numpy import arange, sin, pi
import matplotlib
matplotlib.use('WXAgg')
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
from matplotlib.backends.backend_wx import NavigationToolbar2Wx
from matplotlib.figure import Figure
import wx
class CanvasPanel(wx.Panel):
def __init__(self, parent):
wx.Panel.__init__(self, parent)
self.figure = Figure()
self.axes = self.figure.add_subplot(111)
self.canvas = FigureCanvas(self, -1, self.figure)
# Add Matplotlib Toolbar
# Add the Matplotlib Navigation toolBar here
self.toolbar=NavigationToolbar2Wx(self.canvas)
self.toolbar.AddLabelTool(5,'',wx.ArtProvider.GetBitmap(wx.ART_FILE_OPEN, wx.ART_TOOLBAR, (32,32)))
#self.Bind(wx.EVT_TOOL, self.NewTitle(), id=5)
self.toolbar.Realize()
# Add to Box Sizer
self.sizer = wx.BoxSizer(wx.VERTICAL)
self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.TOP | wx.GROW)
self.sizer.Add(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)
self.SetSizer(self.sizer)
self.Fit()
def draw(self):
t = arange(0.0, 3.0, 0.01)
s = sin(2 * pi * t)
self.axes.plot(t, s)
if __name__ == "__main__":
app = wx.PySimpleApp()
fr = wx.Frame(None, title='test',size=(800,600))
panel = CanvasPanel(fr)
panel.draw()
fr.Show()
app.MainLoop()
I can't comment on the causes of this specific issue,
but I was experiencing some problems with non-Agg backend with wxpython 2.9 too (while the code worked ok in 2.8). Replacing the Toolbar with the Agg version fixed such problems for me; e.g.:
from matplotlib.backends.backend_wx import NavigationToolbar2Wx
==>
from matplotlib.backends.backend_wxagg import NavigationToolbar2WxAgg
and adjusting the code accordingly:
self.toolbar=NavigationToolbar2Wx(self.canvas)
==>
self.toolbar = NavigationToolbar2WxAgg(self.canvas)
hth,
vbr