82 lines
2.7 KiB
Python
82 lines
2.7 KiB
Python
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import matplotlib.pyplot as plt
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import numpy as np
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x = np.linspace(0, 2 * np.pi, 100)
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fig, ax = plt.subplots()
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ax.set_xlim(0, 100)
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ax.set_ylim(0, 10000)
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# animated=True tells matplotlib to only draw the artist when we
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# explicitly request it
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(ln,) = ax.plot([0,1], [0,1], 'r-', animated=True)
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# make sure the window is raised, but the script keeps going
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plt.show(block=False)
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# stop to admire our empty window axes and ensure it is rendered at
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# least once.
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#
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# We need to fully draw the figure at its final size on the screen
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# before we continue on so that :
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# a) we have the correctly sized and drawn background to grab
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# b) we have a cached renderer so that ``ax.draw_artist`` works
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# so we spin the event loop to let the backend process any pending operations
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plt.pause(0.1)
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ax.draw_artist(ln)
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# get copy of entire figure (everything inside fig.bbox) sans animated artist
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bg = fig.canvas.copy_from_bbox(fig.bbox)
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# draw the animated artist, this uses a cached renderer
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ax.draw_artist(ln)
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# show the result to the screen, this pushes the updated RGBA buffer from the
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# renderer to the GUI framework so you can see it
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fig.canvas.blit(fig.bbox)
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x_ax = []
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y_ax = []
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for j in range(100):
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# reset the background back in the canvas state, screen unchanged
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#fig.canvas.restore_region(bg)
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# update the artist, neither the canvas state nor the screen have changed
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x_ax.append(j)
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y_ax.append(j*j)
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ln.set_data([j,j+1], [j*j,(j+1)*(j+1)])
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# re-render the artist, updating the canvas state, but not the screen
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ax.draw_artist(ln)
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# copy the image to the GUI state, but screen might not be changed yet
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fig.canvas.blit(fig.bbox)
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# flush any pending GUI events, re-painting the screen if needed
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fig.canvas.flush_events()
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# you can put a pause in if you want to slow things down
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plt.pause(.1)
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ax.clear()
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ax.set_xlim(0, 200)
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ax.set_ylim(0, 200*200)
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(ln,) = ax.plot(x_ax, y_ax, 'r-', animated = True)
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plt.pause(0.1)
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ax.draw_artist(ln)
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bg = fig.canvas.copy_from_bbox(fig.bbox)
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fig.canvas.blit(fig.bbox)
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for j in range(100, 200):
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# reset the background back in the canvas state, screen unchanged
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#fig.canvas.restore_region(bg)
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# update the artist, neither the canvas state nor the screen have changed
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x_ax.append(j)
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y_ax.append(j*j)
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ln.set_data([j,j+1], [j*j,(j+1)*(j+1)])
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# re-render the artist, updating the canvas state, but not the screen
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ax.draw_artist(ln)
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# copy the image to the GUI state, but screen might not be changed yet
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fig.canvas.blit(fig.bbox)
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# flush any pending GUI events, re-painting the screen if needed
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fig.canvas.flush_events()
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# you can put a pause in if you want to slow things down
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plt.pause(.1)
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