Yeah, I was talking about nbviewer. Thanks for the explanation Jason.
Cheers,
Carlos
El 03/03/17 a las 10:57, Jason Grout escribió:
Oh, we're talking about nbviewer, like the exact link you're pointing
out above? Okay, then that's this issue:
https://github.com/ipython/ipywidgets/issues/986. Basically, the
output widget isn't implemented yet for the static web page widget
renderer, so interacts won't display their output. Of course, the
output wouldn't update anyway from nbviewer since the widget isn't
hooked up to a kernel.
It also looks like nbviewer should be upgraded to the most recent
release. It looks like it's running one of the prereleases (but that
won't affect this issue - the output still won't show in the released
version).
It should work fine from your local install inside a real notebook,
though.
Jason
On Fri, Mar 3, 2017 at 10:14 AM Carlos Córdoba <[email protected]
<mailto:[email protected]>> wrote:
I don't have ipywidgets installed locally. Is that really needed
just to look at notebook in nbviewer?
El 03/03/17 a las 10:02, Jason Grout escribió:
That version number indicates the upgrade didn't go through
fully. Can you check the versions of ipywidgets and
widgetsnbextension that you have installed?
On Fri, Mar 3, 2017 at 9:05 AM Carlos Córdoba
<[email protected] <mailto:[email protected]>> wrote:
Hi,
Congratulations on the release, very nice job on making
ipywidgets to work on nbviewer and sphinx!!
However, I'm seeing an error when exploring some examples on
the ipywidgets repo. For example:
http://nbviewer.jupyter.org/github/ipython/ipywidgets/blob/master/docs/source/examples/Factoring.ipynb
shows this error for me on Firefox and Chrome on Linux:
Cheers,
Carlos
El 01/03/17 a las 18:26, Matt Craig escribió:
Excellent, congrats on the release!
Matt
On Wednesday, March 1, 2017 at 10:23:01 AM UTC-6, Jason
Grout wrote:
We are pleased to announce the release of ipywidgets
6.0, Jupyter interactive widget library. Jupyter
interactive widgets enable building simple GUIs in the
Jupyter notebook.
See
https://blog.jupyter.org/2017/03/01/ipywidgets-6-release/ for
a nicely formatted version of these release notes with
links.
ipywidgets 6.0 is a major release of the project. In
this release, we closed 197 issues and 309 pull requests
with 732 commits.
Installation
============
Using conda:
conda install ipywidgets -c conda-forge
(The OS X conda package will be available in a few hours.)
Using pip:
pip install ipywidgets
jupyter nbextension enable --py --sys-prefix
widgetsnbextension
What's new in ipywidgets 6.0?
=============================
Custom widget styling
---------------------
In addition to the existing Widget.layout attribute,
which enables the specification of layout-related css
properties for the top-most DOM element of a widget, we
added a new Widget.style attribute. This attribute
enables custom styling of various widget types (such as
Button.style.button_color).
The top-level styling properties that were deprecated in
ipywidgets 5.0 have been removed.
Using widgets outside of the notebook
-------------------------------------
Another change in 6.0 is the ability to render Jupyter
interactive widgets outside of the notebook:
* Widgets can be rendered in Sphinx documentation,
either with the jupyter-sphinx extension or the nbsphinx
notebook converter.
* Widgets now render on nbviewer.
* Jupyter interactive widgets can be embedded into
static web sites, such as http://jupyter.org/widgets.
Custom widget libraries built upon ipywidgets 6.0 can
also take advantage of these features.
This feature required the formal specification of a mime
type for Jupyter interactive widgets, which is now
contained in the new jupyter-widgets-schema npm package.
Redesign of the core widgets
----------------------------
The widgets provided with the base Jupyter widget
libraries have gone through a major re-design.
We also migrated from the less CSS preprocessor to the
use of css variables. In addition to the main benefits
of adopting web standards, we take advantage of css
variables defined in JupyterLab to style the interactive
widgets consistent with the environment.
Migration to Typescript
-----------------------
The jupyter-js-widgets JavaScript package, which is the
front-end component of ipywidgets, has been completely
refactored and migrated to the Typescript programming
language. We also adopted the PhosphorJS JavaScript
framework, which is at the foundation of the JupyterLab
project, for better layout capability and integration
with JupyterLab.
Credits
=======
This release has been a team effort of a large number of
contributors. We would like to thank the following 31
people who contributed, and especially the 14 people who
contributed for the first time in this release.
Contributors to this release (alphabetical order):
Afshin Darian (first contribution)
Adam Chainz (first contribution)
Benjamin Ragan-Kelley
Brian Granger
Cameron Oelsen (first contribution)
Carol Willing
Dave Willmer
denfromufa
Giles Weaver (first contribution)
Gino Bustelo
Grant Nestor (first contribution)
Jason Grout
Javier Pedemonte
Jeff (first contribution)
Jeroen Demeyer
Jonathan Frederic
Justin McCandless (first contribution)
Ludwig Schmidt-Hackenberg (first contribution)
Maarten Breddels (first contribution)
Martin Renou (first contribution)
Matthew Craig
Matthias Bussonnier
Michael Pacer (first contribution)
Oliver Evans (first contribution)
Paul Ivanov
Philipp Rudiger (first contribution)
Srinivas Kumar Sunkara (first contribution)
Steven Silvester
stonebig (first contribution)
Thomas Kluyver
Sylvain Corlay
Yoshiki Vázquez Baez
Thanks,
Jason
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