Re: [Matplotlib-users] Rounding issue when plotting
Mhm, thank you for testing - it doesn't work here unless I scale everthing. Bug? Linux, numpy.__version__ '1.0.1' matplotlib.__version__ '0.87.3' - This SF.net email is sponsored by DB2 Express Download DB2 Express C - the FREE version of DB2 express and take control of your XML. No limits. Just data. Click to get it now. http://sourceforge.net/powerbar/db2/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] confusion about what part of numpy pylab imports
Hello list - I am confused about the part of numpy that pylab imports. Apparently, pylab imports 'zeros', but not the 'zeros' from numpy, as it returns integers by default, rather than floats. The same holds for 'ones' and 'empty'. Example: from pylab import * zeros(3) array([0, 0, 0]) from numpy import * zeros(3) array([ 0., 0., 0.]) Can this be fixed? Any explanation how this happens? Pylab just imports part of numpy, doesn't it? Thanks, Mark - This SF.net email is sponsored by DB2 Express Download DB2 Express C - the FREE version of DB2 express and take control of your XML. No limits. Just data. Click to get it now. http://sourceforge.net/powerbar/db2/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Newbie. Memory useage question
Hi, a friend gave me the little example I attached. He uses 'gca().images = []' to delete the images. I'm not sure about memory usage of that method, but I think deleting images (using clf() or the above way) is quite important, because otherwise one more image is drawn above the existing ones. best regards, Matthias -- import pylab import numpy N = 100 # to generate a matrix A = numpy.ones(N)[numpy.newaxis, :]*numpy.arange(N)[:, numpy.newaxis]/(N-1) pylab.figure(0) ax = pylab.subplot(111) for item in pylab.cm.cmapnames[:3]: # plot some cmap examples print doing cm. + item eval(pylab.imshow(A, cmap=pylab.cm.+item+, interpolation='nearest')) pylab.savefig(item+'.png') ax.images = [] # delete images - On Tuesday 24 April 2007 00:48, [EMAIL PROTECTED] wrote: I'm producing series of plots (spectograms) in a program loop using imshow and saving each plot to .png. Even though I close() each plot after each savefig(...), the memory does not appear to be freed up, and the memory useage goes up and up as the program runs (and stalls the computer as it thrashes the page file). This is the essence of the code: for i in range(..): pylab.imshow(logPSDs[i]...) pylab.colorbar() pylab.savefig(plotName[i]) pylab.close() Is there anything that I should be doing to stop this memory wastage? (The plots themselves are fantastic!) UNITED GROUP This email message is the property of United Group. The information in this email is confidential and may be legally privileged. It is intended solely for the addressee. Access to this email by anyone else is unauthorised. If you are not the intended recipient, you may not disclose, copy or distribute this email, nor take or omit to take any action in reliance on it. United Group accepts no liability for any damage caused by this email or any attachments due to viruses, interference, interception, corruption or unauthorised access. If you have received this email in error, please notify United Group immediately by email to the sender's email address and delete this document. - This SF.net email is sponsored by DB2 Express Download DB2 Express C - the FREE version of DB2 express and take control of your XML. No limits. Just data. Click to get it now. http://sourceforge.net/powerbar/db2/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] pylab.setp - expected behaviour?
Matthias Michler [EMAIL PROTECTED] writes: The result really surprises me (using module time): time plot 9.7 sec time setp 9.9 sec- slower than plot! time .set 5.0 sec So my question is: Is this the expected / desired behaviour? I think it is not surprising. The setp function (and much of the pylab interface in general) is designed for convenience in interactive use, and thus it handles various useful cases such as a list of objects as the first argument, and different ways to specify properties (e.g. setp(object, prop='value') and setp(object, 'prop', 'value')). Eventually it does the equivalent of (getattr(object, 'set_%s'%prop))(value) which is obviously much slower than the direct object.set_prop(value) So, if you are writing a program, you are better off using the OO interface. -- Jouni K. Seppänen http://www.iki.fi/jks - This SF.net email is sponsored by DB2 Express Download DB2 Express C - the FREE version of DB2 express and take control of your XML. No limits. Just data. Click to get it now. http://sourceforge.net/powerbar/db2/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] confusion about what part of numpy pylab imports
Hi Mark, this thread may help: http://thread.gmane.org/gmane.comp.python.numeric.general/13399/focus=13421 Essentially, pylab uses a compatibility layer to ease the task of supporting the three array packages - currently this uses the Numeric version of the ones and zeros functions giving the behaviour you observe - this will be fixed when pylab drops support for the older packages, which should be soon. Gary R. Mark Bakker wrote: Hello list - I am confused about the part of numpy that pylab imports. Apparently, pylab imports 'zeros', but not the 'zeros' from numpy, as it returns integers by default, rather than floats. The same holds for 'ones' and 'empty'. Example: from pylab import * zeros(3) array([0, 0, 0]) from numpy import * zeros(3) array([ 0., 0., 0.]) Can this be fixed? Any explanation how this happens? Pylab just imports part of numpy, doesn't it? Thanks, Mark - This SF.net email is sponsored by DB2 Express Download DB2 Express C - the FREE version of DB2 express and take control of your XML. No limits. Just data. Click to get it now. http://sourceforge.net/powerbar/db2/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Forcing full value on axis
I have a plot where the x axis ticks are given as 0.1 0.15 0.20 0.025 0.30 0.35 with +3.732e2 given in the lower right of the axis. How can I force the ticks to have 373.3 373.35 and so on? Cheers Tommy - This SF.net email is sponsored by DB2 Express Download DB2 Express C - the FREE version of DB2 express and take control of your XML. No limits. Just data. Click to get it now. http://sourceforge.net/powerbar/db2/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Newbie. Memory useage question
[EMAIL PROTECTED] wrote:
I'm producing series of plots (spectograms) in a program loop using
imshow and saving each plot to .png. Even though I close() each plot
after each savefig(...), the memory does not appear to be freed up, and
the memory useage goes up and up as the program runs (and stalls the
computer as it thrashes the page file).
This is the essence of the code:
for i in range(..):
pylab.imshow(logPSDs[i]...)
pylab.colorbar()
pylab.savefig(plotName[i])
pylab.close()
Is there anything that I should be doing to stop this memory wastage?
(The plots themselves are fantastic!)
There seem to be big memory leak problems with all interactive backends.
It looks like you don't need an interactive backend. If this is the
case, then instead of starting with import pylab, try:
import matplotlib
matplotlib.use('Agg')
import pylab
Eric
-
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Re: [Matplotlib-users] Newbie. Memory useage question
On 4/23/07, [EMAIL PROTECTED]
[EMAIL PROTECTED] wrote:
I'm producing series of plots (spectograms) in a program loop using imshow
and saving each plot to .png. Even though I close() each plot after each
savefig(...), the memory does not appear to be freed up, and the memory
useage goes up and up as the program runs (and stalls the computer as it
thrashes the page file).
This is the essence of the code:
for i in range(..):
pylab.imshow(logPSDs[i]...)
pylab.colorbar()
pylab.savefig(plotName[i])
pylab.close()
The following code does not appear to leak:
import matplotlib
matplotlib.use('Agg')
from matplotlib.cbook import report_memory
import matplotlib.numerix as nx
import pylab
for i in range(100):
print i, report_memory(i)
fig = pylab.figure(1)
X = nx.mlab.rand(100,100)
pylab.imshow(X)
pylab.colorbar()
pylab.savefig('_test%d'%i)
pylab.close(1)
Are you running your program in a GUI? Eric points out there are some
leaks in the GUI canvases which we have not succeeded in tracking
down. If you only want image generation, you can use an image backend
w/o leaks. The one thing to be careful of is to make sure you are not
overplotting multiple images onto the same Axes, eg by clearing the
figure or axes if you are reusing it.
JDH
Is there anything that I should be doing to stop this memory wastage?
(The plots themselves are fantastic!)
UNITED GROUP
This email message is the property of United Group. The information in this
email is confidential and may be legally privileged. It is intended solely
for the addressee. Access to this email by anyone else is unauthorised. If
you are not the intended recipient, you may not disclose, copy or distribute
this email, nor take or omit to take any action in reliance on it. United
Group accepts no liability for any damage caused by this email or any
attachments due to viruses, interference, interception, corruption or
unauthorised access.
If you have received this email in error, please notify United Group
immediately by email to the sender's email address and delete this document.
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Re: [Matplotlib-users] Forcing full value on axis
On 4/24/07, Tommy Grav [EMAIL PROTECTED] wrote: I have a plot where the x axis ticks are given as 0.1 0.15 0.20 0.025 0.30 0.35 with +3.732e2 given in the lower right of the axis. How can I force the ticks to have 373.3 373.35 It always helps if you give us complete examples that we can run -- then we can give you back tested answers we know work. You should be able to tweak the axes.formatter.limits rc param. Something like import matplotlib matplotlib.rcParams['axes.formatter.limits'] = -15,15 before you make your plots. If this doesn't work, please post a complete example. Darren, for the range he is using according to his post, I wouldn't expect the exponential formatting to be kicking in since log10(.4) = -.4 which is within the default range. JDH - This SF.net email is sponsored by DB2 Express Download DB2 Express C - the FREE version of DB2 express and take control of your XML. No limits. Just data. Click to get it now. http://sourceforge.net/powerbar/db2/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] confusion about what part of numpy pylab imports
Gary Ruben wrote: Hi Mark, this thread may help: http://thread.gmane.org/gmane.comp.python.numeric.general/13399/focus=13421 Essentially, pylab uses a compatibility layer to ease the task of supporting the three array packages - currently this uses the Numeric version of the ones and zeros functions giving the behaviour you observe - this will be fixed when pylab drops support for the older packages, which should be soon. What we will do is drop the use of numerix internally, but the numerix module will almost certainly remain, presumably with the Numeric and numarray support removed; so numerix will still use numpy's own oldnumeric compatibility layer, and I expect pylab will still import from it--at least, by default. The intention is to avoid breaking things unnecessarily. I can imagine possible variations, such as using an rc param to tell pylab whether to import from plain numpy or from oldnumeric, and splitting pylab into core pylab functions (figure, show, etc.) versus the convenience all-in-one namespace (mostly from numpy); but we will take one step at a time. Eric Gary R. Mark Bakker wrote: Hello list - I am confused about the part of numpy that pylab imports. Apparently, pylab imports 'zeros', but not the 'zeros' from numpy, as it returns integers by default, rather than floats. The same holds for 'ones' and 'empty'. Example: from pylab import * zeros(3) array([0, 0, 0]) from numpy import * zeros(3) array([ 0., 0., 0.]) Can this be fixed? Any explanation how this happens? Pylab just imports part of numpy, doesn't it? Thanks, Mark - This SF.net email is sponsored by DB2 Express Download DB2 Express C - the FREE version of DB2 express and take control of your XML. No limits. Just data. Click to get it now. http://sourceforge.net/powerbar/db2/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users - This SF.net email is sponsored by DB2 Express Download DB2 Express C - the FREE version of DB2 express and take control of your XML. No limits. Just data. Click to get it now. http://sourceforge.net/powerbar/db2/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] animating contours
OK, thanks for the info. Is imshow currently the only array imaging routine that supports this functionality? Thanks again, Yoav Eric Firing wrote: The contour routine does not have update functionality similar to that of an image; you have no choice but to generate a new ContourSet object each time. Eric Yoav Avitzour wrote: Hi, I'm trying to create 2D animations using contours. Is there a recommended way to do this? I was hoping to follow the same route as in the dynamic_image_gtkagg.py example, but for some reason set_array doesn't work for me with contour. It doesn't produce any error, but the figure just doesn't get updated after calling canvas.draw(). Matplotlib version: 0.87.7 Thanks, Yoav - This SF.net email is sponsored by DB2 Express Download DB2 Express C - the FREE version of DB2 express and take control of your XML. No limits. Just data. Click to get it now. http://sourceforge.net/powerbar/db2/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users - This SF.net email is sponsored by DB2 Express Download DB2 Express C - the FREE version of DB2 express and take control of your XML. No limits. Just data. Click to get it now. http://sourceforge.net/powerbar/db2/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] [Fwd: Re: animating contours]
(forgot reply-to-all) ---BeginMessage--- Yoav Avitzour wrote: OK, thanks for the info. Is imshow currently the only array imaging routine that supports this functionality? You can also do it with pcolor, provided you flatten the array. This was probably true with 0.87.7; I have verified it only with svn. Eric Thanks again, Yoav Eric Firing wrote: The contour routine does not have update functionality similar to that of an image; you have no choice but to generate a new ContourSet object each time. Eric Yoav Avitzour wrote: Hi, I'm trying to create 2D animations using contours. Is there a recommended way to do this? I was hoping to follow the same route as in the dynamic_image_gtkagg.py example, but for some reason set_array doesn't work for me with contour. It doesn't produce any error, but the figure just doesn't get updated after calling canvas.draw(). Matplotlib version: 0.87.7 Thanks, Yoav - This SF.net email is sponsored by DB2 Express Download DB2 Express C - the FREE version of DB2 express and take control of your XML. No limits. Just data. Click to get it now. http://sourceforge.net/powerbar/db2/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users ---End Message--- - This SF.net email is sponsored by DB2 Express Download DB2 Express C - the FREE version of DB2 express and take control of your XML. No limits. Just data. Click to get it now. http://sourceforge.net/powerbar/db2/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
