On 06/15/2011 01:15 PM, zb wrote:
Hi
You could try the example here:
http://matplotlib.sourceforge.net/examples/user_interfaces/embedding_in_qt4.html
Look at the memory grow. It does the same in my program.
I added a call to cbook.report_memory, and shortened the timer to 0.1
seconds in the
On 06/15/2011 12:53 PM, jonasr wrote:
>
> Thank you for the fast reply, according to you line and "line," shouldt make
> a difference in this case,
No, that's not what I said. Using "line" gives you a list with one
element, but using "line," gives you the element itself, not the list.
> i tried
Hi
You could try the example here:
http://matplotlib.sourceforge.net/examples/user_interfaces/embedding_in_qt4.html
Look at the memory grow. It does the same in my program.
Cheers
--- On Wed, 6/15/11, Eric Firing wrote:
From: Eric Firing
Subject: Re: [Matplotlib-users] canvas.draw() + pyqt4
Thank you for the fast reply, according to you line and "line," shouldt make
a difference in this case,
i tried the code with line and line, and it only works with line, ?
so you say if i use
a=[1,2,3]
then b, = a should be 1 ? i just get the error message to many values to
unpack ...
efir
On 06/15/2011 12:35 PM, jonasr wrote:
>
> hello,
>
> a lot of matplotlib examples i saw included the usage of line, i.e.
>
> from pylab import *
> import time
>
> ion()
>
> tstart = time.time() # for profiling
> x = arange(0,2*pi,0.01)# x-array
> line, = plot(x,sin(x))
> f
hello,
a lot of matplotlib examples i saw included the usage of line, i.e.
from pylab import *
import time
ion()
tstart = time.time() # for profiling
x = arange(0,2*pi,0.01)# x-array
line, = plot(x,sin(x))
for i in arange(1,200):
line.set_ydata(sin(x+i/10.0)) # u
On 06/15/2011 12:13 PM, zb wrote:
> Hi
>
> I have a loop that updates a graph by calling
>
> self.fig.canvas.draw()
>
> But every time it updates the graph, the memory usage goes up. If the
> program runs for one hour, the memory is gone (things start to run slow
> too). I've tried to close() objec
Hi
I have a loop that updates a graph by calling
self.fig.canvas.draw()
But every time it updates the graph, the memory usage goes up. If the program
runs for one hour, the memory is gone (things start to run slow too). I've
tried to close() objects but the only thing that brings back the ram
Hi all,
I am trying to install matplotlib on my Mac OS X 10.6.6. I currently have
Python 2.7.2 installed. I tried installing
***matplotlib-1.0.1-python.org-32bit-py2.7-macosx10.3.dmg.
The installation appears to run fine, but when I try to import pylab * I am
getting the following error message:
Can you provide a standalone script that reproduces the problem? How
many points are you plotting?
Cheers,
Mike
On 06/15/2011 06:09 AM, Francesco Benincasa wrote:
> Hi all,
> I've noticed that savefig is very slow when I draw wind (using "quiver" and
> "quiverkey" commands).
>
> If I don't draw
Hi,
I searched through various previous posts and it seems that the
z-ordering issue with mplot3d has been met many times. When multiple
Poly3DCollections are added to an Axes3D object, e.g. via multiple
plot_surface commands, the z-ordering routine is not capable of
producing the right output
You are importing pylab again before each plot. You have loaded it before.
for i,t in enumerate(times):
import pylab as pl # <--ERASE THIS
On Wed, Jun 15, 2011 at 12:10 PM, Alain Pascal Frances
wrote:
> Hi,
>
> I have a script that creates and saves figures in a loop. The memory is
>
Hi,
I have a script that creates and saves figures in a loop. The memory is
increasing at each figure and is not released back, rising a Memory error.
I used the close() function on the figure object as well as gc.collect(), but
no effect.
I searched on the net and found a similar problem at
h
Hi all,
I've noticed that savefig is very slow when I draw wind (using "quiver" and
"quiverkey" commands).
If I don't draw winds is very fast (2 seconds against 13 seconds).
Is possible to make the program faster? Any idea?
I use the 'Agg' backend and the latest version of matplotlib.
Thank you
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