I\'m using matplotlib to generate many plots of the results of a numerical simulation. The plots are used as frames in a video, and so I\'m generating many of them by repeatedly
From the docstring for pylab.figure
:
In [313]: pylab.figure?
If you are creating many figures, make sure you explicitly call "close" on the figures you are not using, because this will enable pylab to properly clean up the memory.
So perhaps try:
pylab.close() # closes the current figure
Closing a figure is definitely an option, however, repeated many times, this is time consuming. What I suggest is to have a single persistent figure object (via static function variable, or as additional function argument). If that object is fig
, the function will then call fig.clf()
before each plotting cycle.
from matplotlib import pylab as pl
import numpy as np
TIMES = 10
x = np.linspace(-10, 10, 100)
y = np.sin(x)
def withClose():
def plotStuff(i):
fig = pl.figure()
pl.plot(x, y + x * i, '-k')
pl.savefig('withClose_%03d.png'%i)
pl.close(fig)
for i in range(TIMES):
plotStuff(i)
def withCLF():
def plotStuff(i):
if plotStuff.fig is None:
plotStuff.fig = pl.figure()
pl.clf()
pl.plot(x, y + x * i, '-')
pl.savefig('withCLF_%03d.png'%i)
plotStuff.fig = None
for i in range(TIMES):
plotStuff(i)
Here is the timing values
In [7]: %timeit withClose()
1 loops, best of 3: 3.05 s per loop
In [8]: %timeit withCLF()
1 loops, best of 3: 2.24 s per loop