Thanks for your input Fernando.
I thought about cross-posting to Jupyter, but I'm glad you also saw it
here :)
That would help, but not solve all problems.
I guess the Figure could hold a tag for referencing, too. It would be
nice to get a tag and caption from matplotlib.
Maybe Benjamin's reply would help with that. But it sounds like the
figure has a single string attached (which is more the tag).
I guess I can do
IPython.display.Figure(matplotlib_figure, caption="stuff", tag="tag")
That would be acceptable, I think.
But how do I reference that in a markup cell? [maybe I should move that
question to the jupyter list, though]
On 01/28/2016 10:17 PM, Fernando Perez wrote:
On Thu, Jan 28, 2016 at 3:23 PM, Andreas Mueller <t3k...@gmail.com
<mailto:t3k...@gmail.com>> wrote:
Hi all.
This is about a joint jupyter-notebook / matplotlib problem I've been
thinking about.
So I'm writing a book using jupyter-notebook, and all my figures are
generated using matplotlib.
In books, there is usually a figure caption with a running number and
some description.
From what I read, the best way to add captions is just using
plt.text.
However, the caption should probably be in the markup,
not in a rendered PNG. I'm not sure if changing the backend might
help,
but that probably doesn't make the notebook happy?
The other problem is that I want to have running numbers that I can
refer to by a tag (as you would in latex).
That is more of a notebook problem, though.
Any feedback would be very welcome
I've been wanting to do something about this problem for a while, but
haven't had the cycles to work on it... Here's my current idea,
perhaps I can goad you into implementing it :)
I think that IPython.display should provide a Figure object, capable
of wrapping any input image (with nice code to automatically swallow a
matplotlib figure without asking the user to convert it to an image
first), and taking an optional caption.
Figure() would then produce as output the displayed image but with a
bit of nice CSS to center it on the page, along with the caption.
The trick is to send the entire data bundle correctly structured so
that, at the other end, nbconvert could recognize these figures as
such, and not only produce nice HTML, but more importantly, push them
into the LaTeX output with the correct call to \figure, including
\caption as well as size and placement specifiers.
The signature of Figure() might be something like
def Figure(fig, caption=None, width=None, height=None,
latex_placement=None):
I would try implementing this first as a standalone tool, and once
it's been tested enough in real-world usage with both HTML and LaTeX
output from nbconvert, it could be merged in. I suspect it's going to
take a few iterations to get it right.
But it's not particularly hard, and someone working on a book would be
the perfect candidate to have enough test cases to be able to iterate
until happy ;)
If you think you want to take a stab at this, don't hesitate to ping
us on the jupyter list. We can help with some of the more obscure
parts of getting this to work on nbconvert (and there may be things
I've overlooked in the sketch above).
Cheers,
f
--
Fernando Perez (@fperez_org; http://fperez.org)
fperez.net-at-gmail: mailing lists only (I ignore this when swamped!)
fernando.perez-at-berkeley: contact me here for any direct mail
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