Red/white/green palette

[vadimcn]

I am trying to figure out how to do a seemingly simple data colorization:
I need cell backgrounds of all numeric columns to be green, if the value is >= 1.1; red, if the value is <= 0.9; and white otherwise (only these 3 colors, no gradients).

data_color() seems close, however, I can't figure out how to implement the above.

The best I was able to come up with is this:

from polars import col
...
gt = df.style
for c in numeric_columns:
    gt = gt.tab_style(
        style=style.fill(color='lightgreen'),
        locations=loc.body(columns=c, rows=col(c) > 1.05)
    )
    gt = gt.tab_style(
        style=style.fill(color='lightpink'),
        locations=loc.body(columns=c, rows=col(c) < 0.95)
    )

However, this code seems way too verbose. Is there a simpler way?