Running a notebook within VSCode and seeing some problems with DataFrames.
Might be a quick PR to detect the display? I am not entirely sure how the display stack works. Happy to help debug with someone.
This is weird. You don’t have anything in your startup.jl that’s causing this?
I don’t have a startup.jl file at all. Is there a way to see what Dataframes thinks the cell is (i.e. HTML, REPL, etc?). By the way, show(_data) works fine.
699×12 DataFrame
Row │ Column1 ID thickness cell_size cell_shape adhesion epithelia ⋯
│ Int64 Int64 Int64 Int64 Int64 Int64 Int64 ⋯
─────┼──────────────────────────────────────────────────────────────────────────
1 │ 1 1000025 5 1 1 1 ⋯
2 │ 2 1002945 5 4 4 5
3 │ 3 1015425 3 1 1 1
4 │ 4 1016277 6 8 8 1
5 │ 5 1017023 4 1 1 3 ⋯
6 │ 6 1017122 8 10 10 8
7 │ 7 1018099 1 1 1 1
8 │ 8 1018561 2 1 2 1
9 │ 9 1033078 2 1 1 1 ⋯
10 │ 10 1033078 4 2 1 1
11 │ 11 1035283 1 1 1 1
⋮ │ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋱
690 │ 690 654546 1 1 1 1
691 │ 691 654546 1 1 1 3 ⋯
692 │ 692 695091 5 10 10 5
693 │ 693 714039 3 1 1 1
694 │ 694 763235 3 1 1 1
695 │ 695 776715 3 1 1 1 ⋯
696 │ 696 841769 2 1 1 1
697 │ 697 888820 5 10 10 3
698 │ 698 897471 4 8 6 4
699 │ 699 897471 4 8 8 5 ⋯
6 columns and 678 rows omitted
slightly misaligned at the break, but that might just be a vscode notebook issue.
I can’t replicate using a notebook, so I think you will have to post an MWE
A notebook on vscode? It works fine for me in Jupyter Lab, but not on vscode. I am not sure what information to provide
df = DataFrame(a = rand(10), b = rand(10))
simply outputs the Latex… unless I do show(df) or pipe to df |> pretty_table