Jupyter notebook does not display a html table

Hello,

IM following this page of the noj book : https://scicloj.github.io/noj/noj_book.tablecloth_table_processing.html
But as soon as I try to display the html table I do not see it on a jupyter notebook.

See this screenshot:

[daslu]

Thanks!

[behrica]

@daslu
I see it document as "expected to work":
"A dataset can be also treated as a table input."

So I opended bug report here:
clojupyter/clojupyter#215

[behrica]

@RoelofWobben
Maybe use kind/dataset in the meanwhile ?

https://scicloj.github.io/kindly-noted/kinds.html#datasets

[behrica]

@daslu
several other "table" variants are not working in Clojupyter neither.

I have them already on my to do lists.
Partialy it is due to "kindly-render" not handling all variants:

scicloj/kindly-render#30
scicloj/kindly-render#29

I have locally fixed this concrete issue with a workarround, so not using kindly-render when the value is dataset

This is as well related to the question of "recursive table rendering". (which a dataset does not support, correct ?)

[behrica]

We have "table support" marked as "yellow" in our compatibility table:
https://scicloj.github.io/kindly-noted/kind_compatibility.html

But I agree, not "render at all" is a bigger problem, then "render differently" (which all other yellows mean)

I am not sure, if I can/should address the not working case of "(kind/table (take 5 people-as-maps))" as "an exception in clojupyter".

For the recursive rendering I rely on "kindly-render" and I don't want to "take/copy that into clojupyter".

To me we need to fix the 2 above issue in kindly-render to fix "(kind/table (take 5 people-as-maps))"

[behrica]

@RoelofWobben
As you can see here: https://scicloj.github.io/kindly-noted/kind_compatibility.html

we are aware that the kindly compatibility of clojupyter is not yet 100 %.

"Clay" is 100 % compatible, in fact the Noj book:

https://scicloj.github.io/noj/noj_book.tablecloth_table_processing.html

is rendered using Clay. (https://github.com/scicloj/clay)

We are of course aiming for 100 % compatibility, and welcome all reports of differences between Clay and clojupyter.
In case you find others, please report them here:
https://github.com/clojupyter/clojupyter/issues

[daslu]

Thanks for these clarifying comments, @behrica.