Hi Alan,
I did so, of course :-) Ugly sounds to strong and I am sorry if this
came about to be dismissive. I know that matplotlib even tries to
reimplement TeX's boxing algorithm, and I am sure that this
implementation was a lot of work. I would strongly guess, however, that
in order to get proper results you need to have all the metric
information (and other things like virtual fonts), which are part of a
LaTeX distribution. And so you are back to square one.
And to make the PyX perspective more clear: We really tried to focus on
the (La)TeX integration, which I think is still quite unique because it
does not rely on any external tool besides the tex/latex binaries (and
maybe kpsewhich, depending on your configuration). This makes everything
very efficient, and the only drawback remains that a LaTeX distribution
has to be installed. Clearly, there are cases where this is a serious
contraint, but then I wonder in how many of those cases math typesetting
would be needed at all. Hence, I think that from our point of view, it
would be much more important to first support the bare minimum of
TeX-less typsetting. André just sent a mail, how this is possible right
now.
Cheers,
Jörg
On 14.07.15, Alan G Isaac wrote:
> Understood. But before you dismiss it as ugly,
> do give it a try. ;-)
> Cheers,
> Alan
>
>
> -----Joerg Lehmann wrote:
> > We are aware of the solution in matplotlib. In my
> > opinion, however, we should not go in the direction of supporting some
> > kind of fake TeX-like math typesetting. It will anyway look somehow
> > ugly, at least if one does not go to the extreme of implementing Knuth's
> > math typesetting algorithm to the last detail. Rather, I would like to
> > see just plain text output, which in many cases would be enough for
> > labeling of graphs.
>
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