The attached routine which I discussed recently in a related topic works well as intended. Unfortunately, when run on a fairly old computer, each while loop is taking quite some time to execute. A test to measure the duration of each loop starts with a figure of about 125ms and curiously increases slowly with each successive loop reaching to above 300ms. On a much more recent computer the numbers are better but still to high for my needs.
Can anyone suggest ways of reducing execution times? Also, why does this number increase with each iteration?
import matplotlib.pyplot as plt
import random
import time
x, y1, y2 =[],[],[]
x_scale=30
i=0
fig, (ax1, ax2) = plt.subplots(2,sharex=True)
fig.set_size_inches(8, 4) # width and height in inches
ax1.set_title("top chart")
ax2.set_title("bottom chart")
ax2.set_xlabel("TIME")
ax1.set_ylabel("RND_1")
ax2.set_ylabel("RND_2")
while True:
now =time.time()
if len(x) > x_scale:
x.pop(0)
y1.pop(0)
y2.pop(0)
x.append(i)
ax1.set_xlim(i-x_scale, i)
ax2.set_xlim(i-x_scale, i)
ax1.set_ylim(0, 150)
ax2.set_ylim(0, 20)
y1.append(round(100*random.random()))
y2.append(round(10*random.random()))
ax1.plot(x,y1, color = 'b')
ax2.plot(x,y2, color = 'r')
plt.draw()
# plt.pause(0.01)
if plt.waitforbuttonpress(0.01): break # this will wait 0.01 seconds for your keypress
now1 = time.time()
duration = round((now1-now)*1000)
print(duration)
i+=1
