I'd like to color-code an errorbar plot with colors determined by a 3rd
array. I know how to do this with the 'scatter' task, but it does not
appear to be possible with the 'errorbar' command. I think it is possible
to set the colors of a collection to an array of colors, but I'm not very
clear
OK, thanks. I don't really know why it's failing, but I'm going to continue
trying to get other backends installed to test them.
I also now have independent reasons not to use the MacOSX backend:
Thu Jul 2 14:51:48 Python-64[56094] : CGContextSetLineDash: invalid
dash array: negative lengths
Hi, I'm using ipython 0.9.1 with the svn version of matplotlib on 64 bit
python on mac os x 10.5.7.
I have only been able to get python-64 running with the MacOSX backend; all
of the others (wxpython, gtk, qt, tk) have failed for one reason or another.
I've tried ipython without any flags and
Hi, I'm trying to make a large grid of subplots with no spacing between. The
following code fails for any grid size larger than 6x6 by skipping a row and
a column.
for i in xrange(1,65):
subplot(8,8,i)
plot( [0,1] )
subplots_adjust(hspace=0,wspace=0)
Is there a way around this probl
Anyone else have ideas on how to display large images?
Thanks,
Adam
--
View this message in context:
http://www.nabble.com/Segmentation-fault-using-imshow-on-large-image-tp23207792p24152022.html
Sent from the matplotlib - users mailing list archive at Nabble.com.
-
Since there don't seem to be any forthcoming answers, I have a somewhat
different question. In the matplotlib FAQ, it states that using 'show()'
puts you in the GUI mainloop
(http://matplotlib.sourceforge.net/faq/howto_faq.html#use-show). However,
using plot commands on the ipython command line
John Hunter-4 wrote:
>
> Ahh, mixing matplotlib.use from an interactive ipython session -- that is
> an
> important detail :-) What is your backend (import matplotlib; print
> matplotlib.rcParams['backend']) It is quite likely that you are getting
> cross GUI / cross threading problems from
So, as the Matplotlib help page suggests, working through a test problem
helped me narrow down my problem... but it still hasn't solved it. If I set
ioff() at the main level, rather than in a function I call, it works.
However, when I show() the plot, the code halts until I close it, which is
no
John Hunter-4 wrote:
>
> That does sound exceedingly slow -- it looks like you are having some
> problems with the GUI or environment and not just the mpl component. How
> are you running and profiling your script? Can you post some
> free-standing
> example code which exposes the problem? C
Jouni K. Seppänen wrote:
>
> keflavich writes:
>
>> I tried the same series of plot commands using the SVG, PS, and PDF
>> backends
>> and the whole series of 50 plots takes <~1s.
>
> Did you produce any output with savefig? 50 plots per second sounds
>
Hi, I'm trying to plot a series of ~30-50 small plots, each of which contains
3 plots of ~10-20 points (one plot is data, one plot is errorbars, one plot
is a model fit). I've tried using GtkAgg and Qt4Agg as backends, and both
are extremely slow - they take ~5-10 seconds for the first plot windo
Bugzilla from tkjacob...@gmail.com wrote:
>
> Hi
>
> It could be that you just have to much data for the stack. You can see/set
> your stack size with ulimit -s (on linux/solaris at least). Try to set it
> to
> unlimited:
> ulimit -s unlimited
>
> This has solved similar problems for me in
12 matches
Mail list logo
