How to make Pluto.jl load all rows of a DataFrame

Tooling Pluto
, , ,
1

I have a DataFrame with ~100 rows. How do I make the DataFrame be displayed with all of its rows within Pluto.jl? The default view is this:

image
image721×487 29.4 KB

What I’d like is this:

image
image761×556 37.7 KB

where all elements are visible within a little scrollable window.

Essentially, I just want to skip clicking the “⋮ more” button until all of the rows are displayed and just have it already there when the DataFrame is displayed.

I’ve looked into some solutions about setting the COLUMNS and ROWS environment variables, and about using WithIOContext from PlutoUI.jl, but that doesn’t really provide the results I want. A MWE is given as follows (Manifest omitted for brevity):

### A Pluto.jl notebook ###
# v0.20.4

using Markdown
using InteractiveUtils

# ╔═╡ 94d941ef-a445-47a7-87f1-7affe3617ba5
using Pkg

# ╔═╡ 35672f36-26db-4dc9-a9ee-49537cc3e3f6
using DataFrames

# ╔═╡ 3cd9c058-fe7b-486c-81b8-838ffc1b728c
using PlutoUI

# ╔═╡ 50972f08-1e52-4b55-b013-62993a45c617
Pkg.status |> with_terminal

# ╔═╡ 247eaffe-cbf5-41b3-bfd4-4fbfa9b253a7
datapoints = 130;

# ╔═╡ acd439b8-dd95-4a7c-989e-96913178abd9
df = DataFrame(
    :particle_type => rand(1:4, datapoints),
    :momentum => randn(datapoints),
    :total_energy => randn(datapoints),
    :entering_particle_flux => randn(datapoints),
);

# ╔═╡ fe3f355d-ce45-48a1-8e35-9bfb17dd2a8a
df

# ╔═╡ c1f41012-211d-4f40-847d-415f5385cf32
WithIOContext(df, :displaysize => (9999,9999))

# ╔═╡ 00000000-0000-0000-0000-000000000001
PLUTO_PROJECT_TOML_CONTENTS = """
[deps]
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
PlutoUI = "7f904dfe-b85e-4ff6-b463-dae2292396a8"

[compat]
DataFrames = "~1.7.0"
PlutoUI = "~0.7.61"
"""

# ╔═╡ Cell order:
# ╠═35672f36-26db-4dc9-a9ee-49537cc3e3f6
# ╠═94d941ef-a445-47a7-87f1-7affe3617ba5
# ╠═3cd9c058-fe7b-486c-81b8-838ffc1b728c
# ╠═50972f08-1e52-4b55-b013-62993a45c617
# ╠═247eaffe-cbf5-41b3-bfd4-4fbfa9b253a7
# ╠═acd439b8-dd95-4a7c-989e-96913178abd9
# ╠═fe3f355d-ce45-48a1-8e35-9bfb17dd2a8a
# ╠═c1f41012-211d-4f40-847d-415f5385cf32
# ╟─00000000-0000-0000-0000-000000000001
2

I believe you have to use the BrowseTables package and print the dataframe with HTMLTable(df)