Major update of all demo programs to use new PEP8 bindings, etc

DemoPrograms old/Demo_Matplotlib_Animated.py

@@ -0,0 +1,56 @@
+#!/usr/bin/env python
+import PySimpleGUI as sg
+
+from random import randint
+from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, FigureCanvasAgg
+from matplotlib.figure import Figure
+
+def draw_figure(canvas, figure, loc=(0, 0)):
+    figure_canvas_agg = FigureCanvasTkAgg(figure, canvas)
+    figure_canvas_agg.draw()
+    figure_canvas_agg.get_tk_widget().pack(side='top', fill='both', expand=1)
+    return figure_canvas_agg
+
+def main():
+
+    NUM_DATAPOINTS = 10000
+    # define the form layout
+    layout = [[sg.Text('Animated Matplotlib', size=(40, 1), justification='center', font='Helvetica 20')],
+              [sg.Canvas(size=(640, 480), key='-CANVAS-')],
+              [sg.Text('Progress through the data')],
+              [sg.Slider(range=(0, NUM_DATAPOINTS), size=(60, 10), orientation='h', key='-SLIDER-')],
+              [sg.Text('Number of data points to display on screen')],
+               [sg.Slider(range=(10, 500), default_value=40, size=(40, 10), orientation='h', key='-SLIDER-DATAPOINTS-')],
+              [sg.Button('Exit', size=(10, 1), pad=((280, 0), 3), font='Helvetica 14')]]
+
+    # create the form and show it without the plot
+    window = sg.Window('Demo Application - Embedding Matplotlib In PySimpleGUI', layout, finalize=True)
+
+    canvas_elem = window.FindElement('-CANVAS-')
+    slider_elem = window.FindElement('-SLIDER-')
+    canvas = canvas_elem.TKCanvas
+
+    # draw the initial plot in the window
+    fig = Figure()
+    ax = fig.add_subplot(111)
+    ax.set_xlabel("X axis")
+    ax.set_ylabel("Y axis")
+    ax.grid()
+    fig_agg = draw_figure(canvas, fig)
+    # make a bunch of random data points
+    dpts = [randint(0, 10) for x in range(NUM_DATAPOINTS)]
+
+    for i in range(len(dpts)):
+        event, values = window.Read(timeout=10)
+        if event in ('Exit', None):
+            exit(69)
+        slider_elem.Update(i)       # slider shows "progress" through the data points
+        ax.cla()                    # clear the subplot
+        ax.grid()                   # draw the grid
+        data_points = int(values['-SLIDER-DATAPOINTS-']) # draw this many data points (on next line)
+        ax.plot(range(data_points), dpts[i:i+data_points],  color='purple')
+        fig_agg.draw()
+
+
+if __name__ == '__main__':
+    main()