How can I force the pandas table to be \textwidth or specific size.

[mahdikooshkbaghi]

Description

Hi I have the following cell in my jupyter-notebook which read the air quality of NYC from public dataset.
The dataframe is wide and when I use quarto to generate a4 size paper, half of the paper is out of the margin.
Is there any possible option I can add to my _quarto.yml to handle this scenario. In LaTeX usually \resizebox{\textwidth} is the to go method for me for any wide tables but here I am not sure how to force it.
Thank you all.

import pandas as pd
# Global parameters
GEO_NAME = "Bronx"
SUBSTANCE_NAME = "Ozone (O3)"
AIR_QUALITY_LINK = "https://data.cityofnewyork.us/api/views/c3uy-2p5r/rows.csv?accessType=DOWNLOAD"
# Read data
df = pd.read_csv(AIR_QUALITY_LINK)
df.head(10)

[mcanouil]

Could you share a small self-contained "working" (reproducible) example to work with, i.e., a complete Quarto document or a Git repository? Thanks.

You can share a Quarto document using the following syntax, i.e., using more backticks than you have in your document (usually four ````).

````qmd
---
title: "Reproducible Quarto Document"
format: html
---

This is a reproducible Quarto document using `format: html`.
It is written in Markdown and contains embedded R code.
When you run the code, it will produce a plot.

```{r}
plot(cars)
```

The end.
````

[mahdikooshkbaghi]

Thanks,
I made a repo containing a minimal example of jupyter-notebook with wide table and the output pdf produced by quarto.

https://github.com/mahdikooshkbaghi/quarto_wide_table/tree/main

[mcanouil]

Thanks, I'll take a look.
Meanwhile, usually the strategy for such cases is to have the code cell output the LaTex code surrounding the table you are generating.

[mcanouil]

The only solution is to decrease font size, or to avoid having wide tables in the first place.
There is not auto-resize in LaTeX.
You have to do that yourself.
See an example (and one way amongst others) below.

---
title: "Quarto Playground"
format: pdf
---


`{\tiny`{=latex}

```{python}
#| echo: false
import pandas as pd
# Global parameters
GEO_NAME = "Bronx"
SUBSTANCE_NAME = "Ozone (O3)"
AIR_QUALITY_LINK = "https://data.cityofnewyork.us/api/views/c3uy-2p5r/rows.csv?accessType=DOWNLOAD"
# Read data
df = pd.read_csv(AIR_QUALITY_LINK)
df.head(10)
```

`}`{=latex}