Re: [Matplotlib-users] Memory leak somewhere?
You made my day!
Long life to The close()
All my ram and swap file was sucked every time a run my script to generate
260 png images...almost killing my ubuntu!
On Tue, May 26, 2009 at 2:23 PM, John Hunter jdh2...@gmail.com wrote:
On Tue, May 26, 2009 at 7:39 AM, Michael Droettboom md...@stsci.edu
wrote:
Does it help if you add a call to plt.clf() to the bottom of the loop?
The pyplot interface keeps a reference around to every figure created
until they are destroyed so that it can be obtained again by number
(this is functionality inspired by matlab). Alternatively, you can use
the object-oriented interface to create the figure, which does not have
this behavior, e.g., replace
fig = plt.figure()
with
from matplotlib import figure
fig = figure.Figure()
If all this doesn't help, let me know and I'll look further.
Cheers,
Mike
iCy-fLaME wrote:
I was trying to use matplotlib to plot a series of 2D images, but
python was using up a large amount of RAM very quickly. I don't know
matplotlib that well, so the chance are I am missing something, would
appreciate it if anyone can point me to the right direction.
I am using:
Python 2.4.3 (#1, Jan 21 2009, 01:11:33)
[GCC 4.1.2 20071124 (Red Hat 4.1.2-42)] on linux2
Example code to run in interpreter mode:
from numpy import zeros
x = 1651
y = 452
page = zeros((x, y)).astype('float')
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
for i in range(1000):
fig = plt.figure()
ax = fig.add_subplot(111)
cax = ax.imshow(page, cmap=plt.cm.spectral_r, extent=(-44, 176,
-30,
30), interpolation = 'bicubic', vmin = -0.003, vmax = 0.003)
title = Time = %(i)0.3es) % {'i':i}
ax.set_title(title,fontsize=14)
fig.colorbar(cax, ticks=[-2e-3, -1e-3, 0, 1e-3, 2e-3],
orientation='horizontal')
fig.savefig('_tmp.' + str(i) + .png, dpi=300)
This code creates 1000 different figures -- either reuse the same
figure and clear it as Michael suggests
fig = plt.figure(1) # by putting 1 here you reuse the same fig
fig.clf() # and clear it
or close the figure in the loop
fig = plt.figure()
# draw and save here
plt.close(fig)
JDH
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Re: [Matplotlib-users] Memory leak somewhere?
Does it help if you add a call to plt.clf() to the bottom of the loop?
The pyplot interface keeps a reference around to every figure created
until they are destroyed so that it can be obtained again by number
(this is functionality inspired by matlab). Alternatively, you can use
the object-oriented interface to create the figure, which does not have
this behavior, e.g., replace
fig = plt.figure()
with
from matplotlib import figure
fig = figure.Figure()
If all this doesn't help, let me know and I'll look further.
Cheers,
Mike
iCy-fLaME wrote:
I was trying to use matplotlib to plot a series of 2D images, but
python was using up a large amount of RAM very quickly. I don't know
matplotlib that well, so the chance are I am missing something, would
appreciate it if anyone can point me to the right direction.
I am using:
Python 2.4.3 (#1, Jan 21 2009, 01:11:33)
[GCC 4.1.2 20071124 (Red Hat 4.1.2-42)] on linux2
Example code to run in interpreter mode:
from numpy import zeros
x = 1651
y = 452
page = zeros((x, y)).astype('float')
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
for i in range(1000):
fig = plt.figure()
ax = fig.add_subplot(111)
cax = ax.imshow(page, cmap=plt.cm.spectral_r, extent=(-44, 176, -30,
30), interpolation = 'bicubic', vmin = -0.003, vmax = 0.003)
title = Time = %(i)0.3es) % {'i':i}
ax.set_title(title,fontsize=14)
fig.colorbar(cax, ticks=[-2e-3, -1e-3, 0, 1e-3, 2e-3],
orientation='horizontal')
fig.savefig('_tmp.' + str(i) + .png, dpi=300)
### EOF
I tired to delete everything in the namespace, but the only way I can
release the ram is by killing the python session.
Thanks for all the helps in advance.
iCy
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Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA
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Re: [Matplotlib-users] Memory leak somewhere?
On Tue, May 26, 2009 at 7:39 AM, Michael Droettboom md...@stsci.edu wrote:
Does it help if you add a call to plt.clf() to the bottom of the loop?
The pyplot interface keeps a reference around to every figure created
until they are destroyed so that it can be obtained again by number
(this is functionality inspired by matlab). Alternatively, you can use
the object-oriented interface to create the figure, which does not have
this behavior, e.g., replace
fig = plt.figure()
with
from matplotlib import figure
fig = figure.Figure()
If all this doesn't help, let me know and I'll look further.
Cheers,
Mike
iCy-fLaME wrote:
I was trying to use matplotlib to plot a series of 2D images, but
python was using up a large amount of RAM very quickly. I don't know
matplotlib that well, so the chance are I am missing something, would
appreciate it if anyone can point me to the right direction.
I am using:
Python 2.4.3 (#1, Jan 21 2009, 01:11:33)
[GCC 4.1.2 20071124 (Red Hat 4.1.2-42)] on linux2
Example code to run in interpreter mode:
from numpy import zeros
x = 1651
y = 452
page = zeros((x, y)).astype('float')
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
for i in range(1000):
fig = plt.figure()
ax = fig.add_subplot(111)
cax = ax.imshow(page, cmap=plt.cm.spectral_r, extent=(-44, 176, -30,
30), interpolation = 'bicubic', vmin = -0.003, vmax = 0.003)
title = Time = %(i)0.3es) % {'i':i}
ax.set_title(title,fontsize=14)
fig.colorbar(cax, ticks=[-2e-3, -1e-3, 0, 1e-3, 2e-3],
orientation='horizontal')
fig.savefig('_tmp.' + str(i) + .png, dpi=300)
This code creates 1000 different figures -- either reuse the same
figure and clear it as Michael suggests
fig = plt.figure(1) # by putting 1 here you reuse the same fig
fig.clf() # and clear it
or close the figure in the loop
fig = plt.figure()
# draw and save here
plt.close(fig)
JDH
--
Register Now for Creativity and Technology (CaT), June 3rd, NYC. CaT
is a gathering of tech-side developers brand creativity professionals. Meet
the minds behind Google Creative Lab, Visual Complexity, Processing,
iPhoneDevCamp asthey present alongside digital heavyweights like Barbarian
Group, R/GA, Big Spaceship. http://www.creativitycat.com
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