BrowseTables.jl is a simple package that outputs formatted HTML for tables that support the Tables.jl interface.
The primary purpose of the package is to make eyeballing medium-sized data tables easier. The default formatting uses a fairly condensed font and layout, while still remaining readable. I would like to thank @y4lu for help with CSS.
Demo
Install with pkg> add BrowseTables. Then
using BrowseTables
table = (A = rand(vcat(1:10, missing), 100),
B = rand(vcat('a':'h', missing), 100),
C = rand(1:100, 100))
open_html_table(table)
Thought I’d share a screenshot of this along with @Tamas_Papp’s BrowseTables package, it worked quite nicely for this particular interactive data exploration use case wrangling some CMS data, and required no special formatting, just ship the dataframe to the browser, so much nicer than using show function! This demonstrates use with a Jupyter notebook, but can be any source that writes the html file from Julia.
After using BrowseTables, it’s a simple one-liner command to write the table - this includes use of some the kwargs but a basic 'write_html_table(“index.html”, df)` would suffice:
write_html_table("index.html", prvdr; title="Hospital Cost Report", caption="HOSP_RPT_ALPHA where CLMN_NUM = '00200' AND RPT_REC_NUM = '649581'")
And for anyone curious, on the backend, here is how I have this set up to work with Julia on Linux. These are tiled zsh shells within a console (preparing myself for a migration from KDE to i3 at some point). Note the upper right two tiles, the rightmost has the reload -b command run after navigating to the directory with the html file and producing the first output from Julia (on localhost:8080). To the left of that is the Julia kernel running the Jupyter notebook using IJulia.jl (on localhost:8888). I add packages in a kernel below that, have a REPL over to the left, and a shell below that.
