Hi all,
I see in the matplotlib 1.5 release notes that the figures created via the
OO interface can now be interactively updated.
Does this mean it's now possible to create a figure using the interactive
backend, manually associate it with a figure manager, and then call the
show() method on the
One way to do this is to build a Conda package using the matplotlib recipe:
https://github.com/conda/conda-recipes/tree/master/matplotlib
Looking at the Conda recipe might give you some hints about how it locates
png.h as well, although I haven't checked in detail.
On Wednesday, July 22, 2015, B
On Wed, Jun 3, 2015 at 5:17 PM, Stéfan van der Walt
wrote:
> On Wed, Jun 3, 2015 at 5:08 PM, Nathan Goldbaum
> wrote:
> > I'm a big fan of option D. So much so that when I needed to make a
> movie of
> > ony my galaxy simulations today I went ahead and used it
I'm a big fan of option D. So much so that when I needed to make a movie
of ony my galaxy simulations today I went ahead and used it:
https://youtu.be/bnm554et0T8
On Wed, Jun 3, 2015 at 4:43 PM, Benjamin Root wrote:
> Ooooh, I am liking "D" a lot. It is almost like what Parula should have
> be
For what it's worth, there are matplotlib, scipy, and IPython channels on
the freenode IRC network. I often answer questions there.
On Monday, May 4, 2015, Bryan Van de Ven wrote:
> We've thought about gitter as well, personally my (slight) preference for
> Slack is that it does not require a G
Any reason you're trying to compile with gcc? I think most of the homebrew
build recipes are tested using clang.
On Thu, May 22, 2014 at 12:07 PM, lecture notes wrote:
> I'm trying to get matplotlib working with the following setup on OSX 10.9.3
>
> rail:~ brew$ gcc --version
> gcc (GCC) 4.8.2
ue is to use
natgrid to generate the interpolation. This is undesirable from our
point of view since we have no way in general to control how users build their
matplotlib installation.
I'm curious whether any of the matplotlib developers have alternate
ideas for how to do deal with this.
Thank
