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