On Sat, Sep 2, 2017 at 4:45 AM Juan Nunez-Iglesias <jni.soma at gmail.com> wrote:
> Axes3D now has a voxels method, for visualizing boolean 3d data. Uses
could include plotting a sparse 3D heat map, or visualizing a volumetric
model.
???
I have wanted this since forever.
Thank you to all the contributors and of course to Tom.
Incidentally, if there is a guide for producing conda-forge pre-releases,
I would avidly read it! Google finds this unconclusive thread:
Channel for pre-releases · Issue #147 · conda-forge/conda-forge.github.io · GitHub
Juan.
On 2 Sep 2017, 9:00 AM +0300, Christopher Short <short.chrisd at gmail.com>, > wrote:
And apologies - I neglected to thank you and the rest of the
team/contributors.
Fantastic work.
And from the download list:
The following packages will be downloaded:
package | build
---------------------------|-----------------
matplotlib-2.0.0 | np111py36_1 6.6 MB
conda-forge/label/rc
cheers
Chris
On 2 Sep 2017, at 1:55 pm, Christopher Short <short.chrisd at gmail.com> > wrote:
Tom
Is the conda package formula correct?
The following packages will be DOWNGRADED:
matplotlib: 2.0.2-np112py36_0 conda-forge -->
2.0.0-np111py36_1 conda-forge/label/rc
Or am I misreading?
thanks
Chris
On 2 Sep 2017, at 12:34 pm, Thomas Caswell <tcaswell at gmail.com> wrote:
Folks,
We are happy to announce 2.1.0rc1!
Wheels and and source on pypi and as a conda package via conda-forge.
Please try it out and report any issues!
See http://matplotlib.org/devdocs/users/whats_new.html for a draft of the
release notes. This represents ~2 years of work and includes many new
features and bug fixes.
Please checkout our updated documentation (
Matplotlib documentation — Matplotlib 3.9.0.dev730+gfcf57fe49e documentation), particularly the examples (
Examples — Matplotlib 3.9.0.dev730+gfcf57fe49e documentation ) and tutorials (
Tutorials — Matplotlib 3.9.0.dev730+gfcf57fe49e documentation) . Re-organizing,
updating, and migrating the examples to sphinx-gallery was a huge effort
led by Nelle Varoquaux and Chris Holdgraf.
A big thanks to the many (~280) people who contributed to this release.
Installation instructions (via pip into existing venv):
pip install --upgrade --pre matplotlib
or (via conda into a new venv)
conda create -n mpl_rc matplotlib ipython -c conda-forge/label/rc -c
conda-forge
or(via conda into an existing venv)
conda install -c conda-forge/label/rc matplotlib -c conda-forge
Tom
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