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plottingtestspeed.py
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plottingtestspeed.py
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import time
from matplotlib import pyplot as plt
import numpy as np
def live_update_demo(blit = False):
x = np.linspace(0,50., num=100)
X,Y = np.meshgrid(x,x)
fig = plt.figure()
ax1 = fig.add_subplot(2, 1, 1)
ax2 = fig.add_subplot(2, 1, 2)
img = ax1.imshow(X, vmin=-1, vmax=1, interpolation="None", cmap="RdBu")
line, = ax2.plot([], lw=3)
text = ax2.text(0.8,0.5, "")
ax2.set_xlim(x.min(), x.max())
ax2.set_ylim([-1.1, 1.1])
fig.canvas.draw() # note that the first draw comes before setting data
if blit:
# cache the background
axbackground = fig.canvas.copy_from_bbox(ax1.bbox)
ax2background = fig.canvas.copy_from_bbox(ax2.bbox)
plt.show(block=False)
t_start = time.time()
k=0.
for i in np.arange(1000):
img.set_data(np.sin(X/3.+k)*np.cos(Y/3.+k))
line.set_data(x, np.sin(x/3.+k))
tx = 'Mean Frame Rate:\n {fps:.3f}FPS'.format(fps= ((i+1) / (time.time() - t_start)) )
text.set_text(tx)
#print tx
k+=0.11
if blit:
# restore background
fig.canvas.restore_region(axbackground)
fig.canvas.restore_region(ax2background)
# redraw just the points
ax1.draw_artist(img)
ax2.draw_artist(line)
ax2.draw_artist(text)
# fill in the axes rectangle
fig.canvas.blit(ax1.bbox)
fig.canvas.blit(ax2.bbox)
# in this post http://bastibe.de/2013-05-30-speeding-up-matplotlib.html
# it is mentionned that blit causes strong memory leakage.
# however, I did not observe that.
else:
# redraw everything
fig.canvas.draw()
fig.canvas.flush_events()
#alternatively you could use
#plt.pause(0.000000000001)
# however plt.pause calls canvas.draw(), as can be read here:
#http://bastibe.de/2013-05-30-speeding-up-matplotlib.html
live_update_demo(True) # 175 fps
# live_update_demo(False) # 28 fps