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
On Wed, Apr 29, 2009 at 9:07 AM, keflavich keflav...@gmail.com wrote:
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
On Wed, Apr 29, 2009 at 8:29 AM, John Hunter jdh2...@gmail.com wrote:
On Wed, Apr 29, 2009 at 9:07 AM, keflavich keflav...@gmail.com wrote:
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
On Wed, Apr 29, 2009 at 9:22 AM, John Hunter jdh2...@gmail.com wrote:
On Wed, Apr 29, 2009 at 9:50 AM, Adam keflav...@gmail.com wrote:
I would like to have access to the command line while simultaneously
being able to interact with and/or display plots. I think this is
what ipython does by
keflavich keflav...@gmail.com 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
pretty fast - at least on my computer, the matplotlib examples
Jouni K. Seppänen wrote:
keflavich keflav...@gmail.com 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
pretty fast - at least on my
On Mon, Apr 27, 2009 at 12:24 PM, keflavich keflav...@gmail.com wrote:
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,
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? Can
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
On Mon, Apr 27, 2009 at 2:28 PM, keflavich keflav...@gmail.com wrote:
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
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
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