Kolen Cheung

Also see #21.

The reason I reference #21 is because one of the point there address that inevitably when this feature is added, performance can becomes a big problem, because there's no practical...

I will think about that a bit more. To explain why extension is a good idea abeit seems overkill for now: it is because I have a lot of things...

In #21, I mentioned a solution to solve the memory consumption of arbitrary large input CSV size. The solution is simple, it should be lazy evaluated (using iterator rather than...

Currently only YAML options within the YAML codeblock is used. Add multiple hierarchical places for setting options, some are global: - ICA? Not general enough, but a natural place to...

lack of interested and not quite simple to do

I've considered something like that. But the hard part is to get "proper" xlsx support. Otherwise we're just "saving CSV in an excel container", so to speak. e.g. looking at...

I considered pandas before but its CSV parser is much less lenient. One example is rows of different no. of columns. In this case the Python standard library can parse...

But I think if you try using panda's csv parser for the test csv files in this repo then it wouldn't pass. I tested this earlier. The main reason is...

and probably I need to take a more "adventurous" approach in reading other formats. I *try* to make pantable and pantable2csv incredibly robust but that put me in a corner...