I have several matlpotlib functions rolled into some django-celery tasks.
Every time the tasks are called more RAM is dedicated to python. Before too long, python is taking up all of the RAM.
QUESTION: How can I release this memory?
UPDATE 2 - A Second Solution:
I asked a similar question specifically about the memory locked up when matplotlib errors, but I got a good answer to this question .clf()
, .close()
, and gc.collect()
aren't needed if you use multiprocess to run the plotting function in a separate process whose memory will automatically be freed once the process ends.
Matplotlib errors result in a memory leak. How can I free up that memory?
UPDATE - The Solution:
These stackoverflow posts suggested that I can release the memory used by matplotlib objects with the following commands:
.clf()
: Matplotlib runs out of memory when plotting in a loop
.close()
: Python matplotlib: memory not being released when specifying figure size
import gc
gc.collect()
Here is the example I used to test the solution:
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from pylab import import figure, savefig
import numpy as np
import gc
a = np.arange(1000000)
b = np.random.randn(1000000)
fig = plt.figure(num=1, dpi=100, facecolor='w', edgecolor='w')
fig.set_size_inches(10,7)
ax = fig.add_subplot(111)
ax.plot(a, b)
fig.clf()
plt.close()
del a, b
gc.collect()