uint dtypes not being classified as scalar values by _str_detect

[e-miz]

Prework

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  • Contributing guidelines 404s
• If there is already a relevant issue, whether open or closed, comment on the existing thread instead of posting a new issue.
  • I couldn't find any nanoplot issue related to this

Description

Hi! I wanted to make a nanoplot using a column in a dataframe. I found that columns with uint datatypes incorrectly fail a check for being scalar datatypes, which breaks nanoplot functionality for them.

Reproducible example

Works

single_vals_df = pl.DataFrame(
    {
        "bars": [1, 2, 3, 5],
    }
)
single_vals_df.select("bars").cast(pl.Int32).style.fmt_nanoplot(columns="bars", plot_type="bar")

Does Not Work

single_vals_df = pl.DataFrame(
    {
        "bars": [1, 2, 3, 5],
    }
)
single_vals_df.select("bars").cast(pl.UInt32).style.fmt_nanoplot(columns="bars", plot_type="bar")

This leads to an error TypeError: 'NoneType' object is not iterable

Expected result

The example with a UInt32 column should've been able to create nanoplot just like the working example. The values aren't any different, just the datatype.

Development environment

• Operating System: WSL2 Ubuntu 22.04 LTS
• great_tables Version: 0.15.0

Additional context

I think I isolated the cause to this line.

_str_detect uses re.match, which fails to match "int" with "uint" because it checks for a match at the beginning. Replacing with re.search fixes the problem because it looks for the pattern anywhere in the target, instead of just the beginning. I don't know if this has repercussions elsewhere though.

P.S. Thanks for the cool library! 😄