Hi all ...,
Anyone may tell me what happend with the /widgets/ in the matplotlib???
Before it is here ..., from matplotlib import widgets
but now it is vanished ..., or where it is ???
Further informations ...
my matplotlib version is 1.0.0 - $Revision: 8503 $
my numpy version is
Em 11/07/2010 12:22, Ademir Francisco da Silva escreveu:
Hi all ...,
Anyone may tell me what happend with the /widgets/ in the matplotlib???
Before it is here ..., from matplotlib import widgets
but now it is vanished ..., or where it is ???
Further informations ...
my matplotlib version
On Sun, Jul 11, 2010 at 11:15 AM, Ademir Francisco da Silva
Case closed. Finally I find it..., but for my success I have taken off the
# of the #interactive : False on the line #37 from this file
matplotlib\\mpl-data\\matplotlibrc and everything works fine now.
I don't think this flag
Em 11/07/2010 13:56, John Hunter escreveu:
On Sun, Jul 11, 2010 at 11:15 AM, Ademir Francisco da Silva
Case closed. Finally I find it..., but for my success I have taken off the
# of the #interactive : False on the line #37 from this file
matplotlib\\mpl-data\\matplotlibrc and everything
Again, please post a complete free-standing example that replicates the
problem, otherwise we can not help you. The binaries you are using are
as close to any later official binaries as possible at this point and
they pass all the example tests for the agg, cairo, and pdf backends.
Christoph
On 07/11/2010 07:52 AM, Preben Randhol wrote:
Also, are you using backend_gtk or backend_gtkagg (and does it matter
for your problem?)
I use GTKAgg and it works. GTK doesn't.
backend_gtk has limitations that backend_gtkagg does not, although I
don't know that your zooming problem should
On Friday, July 9, 2010, Benjamin Root ben.r...@ou.edu wrote:
Jeremy,
I believe that 0.99.1 is fairly old. I don't know when Axes3D came along,
but I am sure you can find it in 0.99.3. It is most definitely in 1.0, but
you might not need to go that far if your distro does not provide it.
Hello everybody,
My question is in the title !
Say that I have the following code:
f = pylab.figure()
f.plot([1,2,3,4,5])
pylab.show()
and that, once I destroyed the figure by clicking on the top-right corner red
button, I would like to redisplay it in the state it was just before I closed
