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#!/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
# Yet another usage of MatPlotLib with animations.
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['-CANVAS-']
slider_elem = window['-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()
window.close()
if __name__ == '__main__':
main()
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