Matplotlib mange toute la mémoire lors de l'enregistrement de la figue
import matplotlib.pyplot as plt
import numpy as np
A = np.arange(1,5)
B = A**2
cnt=0
while(1):
cnt = cnt+1
print("########### test %d ###########" % cnt)
# here is the trick:
# set the figure a 'num' to prevent from re-malloc of a figure in the next loop
# and set "clear=True" to make the figure clear
# I never use plt.close() to kill the figure, because I found it doesn't work.
# Only one figure is allocated, which can be self-released when the program quits.
# Before: 6000 times calling of plt.figure() ~ about 1.6GB of memory leak
# Now: the memory keeps in a stable level
fig = plt.figure(num=1, clear=True)
ax = fig.add_subplot()
# alternatively use an other function in one line
# fig, ax = plt.subplots(num=1,clear=True)
ax.plot(A,B)
ax.plot(B,A)
# Here add the functions you need
# plt.show()
fig.savefig('%d.png' % cnt)
Georgiy Kantsedal
