Is it possible to make nbconvert insert a cell prior to processing the notebook?
Or perhaps detect when it's being run through nbconvert or web interface
Expanding a bit on the why:
MathJax lacks siunitx, so in order for me to see understandable math in the notebook and output better-looking units (or customize through a template) in pdf I'd like to resort to adding a command-line argument to nbconvert, using the printviewlatex extension, so that it inserts a python cell that changes the notebook behaviour to output latex instead of markdown.
I realize that there's an siunitx MathJax extension (which I failed miserably to install in jupyter), but this solution may also solve other problems.
Related
I have been looking for a way to display latex in vscode .Net interactive notebooks, but I've had no luck.
on my C# .Net interactive Code Cell I have
#r "nuget: AngouriMath.Interactive, 1.3.0"
using AngouriMath.Interactive;
using AngouriMath;
Entity entity= "X^2+1";
var latexText = entity.Latexise();
display(latextText,"text/latex") //<< this will not work because "text/latex" mimetype is not valid.
I found this for image https://stackoverflow.com/a/70850956/7197556 where the bitmap image is converted to base64string before being passed to the display() function. Is there a way to do this for latex? or are there any other straightforward solutions?
side-note: I'd like to avoid writing javascript/html code cells as much as possible.
Using visualization for AngouriMath
You should be able to do it without display. In Notebooks you can visualize any expression just by running a cell with it, see the screenshot
By the way, there's still some problem with support of F# in .NET Interactive extensions, so the kernel might fail to load. In case it fails, you can either activate it manually:
AngouriMath.InteractiveExtension.KernelExtension.applyMagic()
Or install the last preview version:
#i "https://www.myget.org/F/angourimath/api/v3/index.json"
#r "nuget:AngouriMath.Interactive, 0.0.0-*"
Using Interactive LaTeX visualization
If you want to display LaTeX without AngouriMath, you can use MathString. Just create an instance of it, and it will be displayed for you:
Recommendations mentioned in How to hide one specific cell (input or output) in IPython Notebook? don't work.
On Windows I do the following
jupyter nbconvert a.ipynb --TagRemovePreprocessor.remove_cell_tags="{'remove_cell'}"
but get an error
traitlets.traitlets.TraitError: The 'remove_cell_tags' trait of a TagRemovePreprocessor instance must be a set, but a value of type 'unicode' (i.e. u"{'remove_cell'}") was specified.
I also tried '{"remove_cell"}'
I am using nbconvert 5.4.0
Any ideas how to do this?
You need to enable the TagRemovePreprocessor before you call it.
The code below shows how to enable it and how to enclose your tags as a list so you can exclude more than one tag if you wish. To exclude a single tag, just put one element in the list eg ['remove_cell'].
The parameter --to html is not required if you are converting to html (as html is the default). If you want to convert to python, for example, change --to html to --to python
jupyter nbconvert a.ipynb --TagRemovePreprocessor.enabled=True --TagRemovePreprocessor.remove_cell_tags="['remove_cell', 'other_tag_to_remove']" --to html
Note that the TagRemovePreprocessor is only available in nbconvert 5.3 and above: https://nbconvert.readthedocs.io/en/latest/changelog.html?highlight=TagRemovePreprocessor
Needs some extra quoting to work:
--TagRemovePreprocessor.remove_cell_tags={\"remove_cell\"}.
However beware of an ongoing issue with noteboot to notebook conversion - it seems like in this case preprocessors, including tag removal, do not run. See more in this SO question:
jupyter nbconvert --to notebook not excluding raw cells
Update: Not tested on windows, just on Linux
Question
How can I setup a MathJax "preamble" for use in IPython (or Jupyter) notebooks for repeated use in a way that is convenient for others to read my documents (on http://nbviewer.org) and that works for LaTeX/PDF generation?
Background
I would like to use IPython (now Jupyter) notebooks for documents that I later convert to PDF via LaTeX (using ipython nbconvert). The problem is how to include a bunch of macro definitions that I use in almost every document. Something like:
\newcommand{\vect}[1]{\vec{#1}}
\newcommand{\abs}[1]{\lvert#1\rvert}
\DeclareMathOperator{\erf}{erf}
etc. As far as the notebooks is concerned, one unsatisfactory solution is to simply include these in a markdown cell at the top of the notebook, embeded between two dollar signs $$ so it is interpreted as math. If this is done after some introductory text, then it does not even affect the output.
The problem is that, when converting to LaTeX (for PDF export), these commands are embedded in a math environment in the LaTeX file. This has several problems:
Commands like \DeclareMathOperator must come in the LaTeX document preamble.
Command definitions are local to the equation and not available later in the document. (This can be overcome by using \gdef or \global\def but then one must trick MathJax into recognising these commands with something like \let\gdef{\def} which is somehow hidden from LaTeX. Any way I have found of making this work amounts to an ugly hack.)
Sometimes commands are already defined in LaTeX and need to have \renewcommand (not supported by MathJax, but again can be provided by \let\renewcommand\newcommand etc. which seems reasonable to me since MathJax can't have some idea of what preamble might be used for the final LaTeX file).
Probably the solution is to provide a set of macros to MathJax by adding code like (not sure the equivalent of \DeclareMathOperator here...)
<script type="text/x-mathjax-config">
MathJax.Hub.Config({
TeX: {
Macros: {
vect: ["{\\vec #1}",1],
abs: ["{\\lvert #1 \\rvert}",1]
}
}
});
</script>
to a custom.js file and then providing a LaTeX package for inclusion when converting to PDF. The problem I have with this approach is: How to distribute the custom.js file and LaTeX style file for others (collaborators and viewers) to use?
I want collaborators to be able to edit and read my documents without having to install custom extensions in their global configuration. To be specifiec, I am fine with requiring them to run a command like python setup.py configure once they download/checkout my code which does local modifications to the project like populating ipython_notebook_config.py files in all directories containing notebooks, but am not happy installing extensions, or modifying their personal global custom.js file.
My stumbling block here is that I don't know how to add contributions from a local custom.js file to the notebook chain, and suspect that this might violate a security policy.
The best solution would not require any action on my collaborator's part.
I want my notebooks to work on http://nbviewer.org, and for people to be able to download the notebook and produce a PDF. (I think this rules out the possibility of using custom.js hacks and a distributed *.sty file, but am not certain.)
I would prefer to be able to simply start a new notebook and then start writing without having to insert a bunch of boilerplate code at the start of each notebook, though would be amenable to having a simple way of automating this process using an notebook extension or some hooks in python_notebook_config.py.
References
The following posts address some of these issues, but fall short on most fronts:
usepackage and making macros in ipython notebook
Physics bra-ket symbols in IPython (specifically this answer notes related difficulties)
How do I get MathJax to enable the mhchem extension in ipython notebook
Discussions about (potential) problems with the pandoc production of LaTeX files from IPython notebooks:
Getting some problems with pandoc and mathjax
\newcommand environment when convert from markdown to pandoc
Pandoc IPython notebook loses some Mathjax
General discussion of math in notebooks:
How to write LaTeX in IPython Notebook?
I think you can solve some of your problems, but not all.
First, the stumbling block. I believe (though I might be wrong) that nbviewer doesn't look at anything but the notebook itself. For example, I don't see how it could run an ipython_notebook_config.py stored alongside your notebook. So that rules out that line of thought, meaning that I think you'll have to bite the bullet and add boilerplate to every notebook. But you might at least be able to minimize the boilerplate. In that vein:
You could maintain your custom.js (probably under a more descriptive name) on github or whatever, and then add one line of boilerplate to all your notebooks to load that script from the URL. You would still need boilerplate, but it would be a lot shorter.
Once you have executed the code cell containing the javascript, it is saved in the notebook, which means that it will automatically happen the next time the browser loads it, even before the code cell is executed. So unless nbviewer prevents the javascript's execution, it should work just fine. This would also make things work nicely for collaborators, since they wouldn't have to download additional files.
As for your own style file, I suspect that anyone sophisticated enough to install ipython and latex, download your notebook, and run nbconvert on it would also be sophisticated enough to download the .sty file. Anyway, I don't see any way around the need to do that...
I write an ipython notebook which correctly display the equations on my local machine. However, when I paste the ipynb file to Gist and use the nbviewer to view it, some math equation disappear. What causes the problem? Any way to fix it? The ipynb has the the following latex code in Markdown cell:
\begin{align}
F(P)=f_L(P)+f_G(P_{i,j})+f_{elec}(P,\phi_{ext},\phi_{int})\qquad (1)
\end{align}
The problem you are facing is that nbviewer uses nbconvert to convert the ipynb to html. Nbconvert inturn uses pandoc to do the conversion and pandoc strips raw latex (the \align in your case) when converting markdown to html.
You can try to embed the raw LaTeX into $s to make pandoc aware, however not all constructs are supported and will be converted (see Github Issue for more details).
I have a set of helper functions I've written and would like to make them available to my IPython notebooks. My ideal set up would be:
Maintain the functions as a series of IPython notebooks
Be able to import the functions into other notebooks and invoke them
Does anybody know of a way to accomplish this?
Have you tried putting the ipython commands/functions into a script and loading it via %run script? The script can be a plan-text file without need to any #! line, and ipython can load the functions when you invoke %run.
If you keep changing the file after you invoked above, you may find that newer changes are not loading even you reissue the %run magic from a notebook where you invoked the %run earlier. You will need to execute this snippet in order to allow reloading upon new invocation of %run:
%load_ext autoreload
%autoreload 2