Animated Matplotlib demo!

Demo_Matplotlib.py

@@ -5,7 +5,6 @@ from numpy import arange, sin, pi
 from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, FigureCanvasAgg
 from matplotlib.figure import Figure
 import matplotlib.backends.tkagg as tkagg
-import sys
 import tkinter as Tk
 
 """
@@ -70,4 +69,3 @@ fig_photo = draw_figure(canvas_elem.TKCanvas, f)
 
 # show it all again and get buttons
 button, values = form.Read()
-

Demo_Matplotlib_Animated.py

@@ -0,0 +1,60 @@
+from tkinter import *
+from random import randint
+import PySimpleGUI as g
+from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, FigureCanvasAgg
+from matplotlib.figure import Figure
+import matplotlib.backends.tkagg as tkagg
+import tkinter as Tk
+
+
+def main():
+    fig = Figure()
+
+    ax = fig.add_subplot(111)
+    ax.set_xlabel("X axis")
+    ax.set_ylabel("Y axis")
+    ax.grid()
+
+    canvas_elem = g.Canvas(size=(640, 480))  # get the canvas we'll be drawing on
+    # define the form layout
+    layout = [[g.Text('Animated Matplotlib', size=(40,1), justification='center', font='Helvetica 20')],
+              [canvas_elem],
+              [g.ReadFormButton('Exit', size=(10,2), pad=((280, 0), 3), font='Helvetica 14')]]
+
+    # create the form and show it without the plot
+    form = g.FlexForm('Demo Application - Embedding Matplotlib In PySimpleGUI')
+    form.Layout(layout)
+    form.ReadNonBlocking()
+
+    graph = FigureCanvasTkAgg(fig, master=canvas_elem.TKCanvas)
+    canvas = canvas_elem.TKCanvas
+
+    dpts = [randint(0, 10) for x in range(10000)]
+    for i in range(len(dpts)):
+        button, values = form.ReadNonBlocking()
+        if button is 'Exit' or values is None:
+            exit(69)
+
+        ax.cla()
+        ax.grid()
+
+        ax.plot(range(20), dpts[i:i+20],  color='purple')
+        graph.draw()
+        figure_x, figure_y, figure_w, figure_h = fig.bbox.bounds
+        figure_w, figure_h = int(figure_w), int(figure_h)
+        photo = Tk.PhotoImage(master=canvas, width=figure_w, height=figure_h)
+
+        canvas.create_image(640/2, 480/2, image=photo)
+
+        figure_canvas_agg = FigureCanvasAgg(fig)
+        figure_canvas_agg.draw()
+
+        # Unfortunately, there's no accessor for the pointer to the native renderer
+        tkagg.blit(photo, figure_canvas_agg.get_renderer()._renderer, colormode=2)
+
+        # time.sleep(.1)
+
+
+if __name__ == '__main__':
+    main()
+