Re: Markdown, tables and CSV

[Sergio Correia <sergio.correia-Re5JQEeQqe8AvxtiuMwx3w@public.gmane.org>]

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Another option is to have another package (e.g. pantable_extended) that
does it.

In that way, people who just want to user the basic elements can use
pantable, and you can use the other one to push capabilities to the limit.

Also, I agree that requiring numpy instead as having it optional is not
always the best, as on Windows you might want to install it from the
unofficial precompiled binaries, that AFAIK are faster.

Let me know how it goes!
Cheers,
Sergio

On Aug 1, 2017 5:10 AM, "Kolen Cheung" <christian.kolen-Re5JQEeQqe8AvxtiuMwx3w@public.gmane.org> wrote:

Hi, I'd like to hear your opinion on pantable's dependencies.

For now, pantable only depends on panflute (and else all in Python's
standard library). But there's a few things I want to do that would be
impossible without further dependencies. Notable ones are matplotlib,
numpy, scipy, matplotlib2tikz, pandas. And you can see these are related to
plots and/or CSV readers/writers. Other potential dependencies would be
xlsx reader/writer, etc.

Some of the dependencies are quite big and I'm not certain if they'll build
successfully on alternative architecture. So I think I either list all
these into the dependencies and make all pantable users also install them,
or I make them optional dependencies, where some functions will only
function if those are installed (with error hinting which to install).
While the later approach seems best to have minimal impact on the others,
the former approach is more "all-inclusive", and will be easier to maintain
for example for which CSV reader/writer to use (I'd want to use pandas' but
if pandas is optional then I need to deal with 2 different implementations
leading to potentially different behaviors.

Thanks.

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