GT.pipe

GT.pipe(self, func, *args, **kwargs)

Provide a structured way to chain a function for a GT object.

This function accepts a function that receives a GT object along with optional positional and keyword arguments, returning a GT object. This allows users to easily integrate a function into the chained API offered by Great Tables.

Parameters

func : Callable[P, 'GT']

A function that receives a GT object along with optional positional and keyword arguments, returning a GT object.

*args : P.args = ()

Optional positional arguments to be passed to the function.

****kwargs** : P.kwargs = {}

Optional keyword arguments to be passed to the function.

Returns

: gt

A GT object.

Examples:

Let’s use the name, land_area_km2, and density_2021 columns of the towny dataset to create a table. First, we’ll demonstrate using two consecutive calls to the .tab_style() method to highlight the maximum value of the land_area_km2 column with "lightgray" and the maximum value of the density_2021 column with "lightblue".

import polars as pl
from great_tables import GT, loc, style
from great_tables.data import towny


towny_mini = pl.from_pandas(towny).head(10)

(
    GT(
        towny_mini[["name", "land_area_km2", "density_2021"]],
        rowname_col="name",
    )
    .tab_style(
        style=style.fill(color="lightgray"),
        locations=loc.body(
            columns="land_area_km2",
            rows=pl.col("land_area_km2").eq(pl.col("land_area_km2").max()),
        ),
    )
    .tab_style(
        style=style.fill(color="lightblue"),
        locations=loc.body(
            columns="density_2021",
            rows=pl.col("density_2021").eq(pl.col("density_2021").max()),
        ),
    )
)

	land_area_km2	density_2021
Addington Highlands	1293.99	1.96
Adelaide Metcalfe	331.11	9.09
Adjala-Tosorontio	371.53	29.58
Admaston/Bromley	519.59	5.76
Ajax	66.64	1900.75
Alberton	116.6	8.18
Alfred and Plantagenet	391.79	25.39
Algonquin Highlands	999.69	2.59
Alnwick/Haldimand	398.25	18.76
Amaranth	265.02	16.33

Next, we’ll demonstrate how to achieve the same result using the .pipe() method to programmatically style each column.

columns = ["land_area_km2", "density_2021"]
colors = ["lightgray", "lightblue"]


def tbl_style(gtbl: GT, columns: list[str], colors: list[str]) -> GT:
    for column, color in zip(columns, colors):
        gtbl = gtbl.tab_style(
            style=style.fill(color=color),
            locations=loc.body(columns=column, rows=pl.col(column).eq(pl.col(column).max())),
        )
    return gtbl


(
    GT(
        towny_mini[["name", "land_area_km2", "density_2021"]],
        rowname_col="name",
    ).pipe(tbl_style, columns, colors)
)

	land_area_km2	density_2021
Addington Highlands	1293.99	1.96
Adelaide Metcalfe	331.11	9.09
Adjala-Tosorontio	371.53	29.58
Admaston/Bromley	519.59	5.76
Ajax	66.64	1900.75
Alberton	116.6	8.18
Alfred and Plantagenet	391.79	25.39
Algonquin Highlands	999.69	2.59
Alnwick/Haldimand	398.25	18.76
Amaranth	265.02	16.33