loc.column_header

loc.column_header()

Target column spanners and column labels.

With loc.column_header(), we can target the column header which contains all of the column labels and any spanner labels that are present. This is useful for applying custom styling with the tab_style() method. That method has a locations= argument and this class should be used there to perform the targeting.

Returns

: LocColumnHeader

A LocColumnHeader object, which is used for a locations= argument if specifying the column header of the table.

Examples

Let’s use a subset of the gtcars dataset in a new table. We create spanner labels through use of the tab_spanner() method; this gives us a column header with a mix of column labels and spanner labels. We will style the entire column header at once by using locations=loc.column_header() within tab_style().

from great_tables import GT, style, loc
from great_tables.data import gtcars

(
    GT(gtcars[["mfr", "model", "hp", "trq", "msrp"]].head(5))
    .tab_spanner(
        label="performance",
        columns=["hp", "trq"]
    )
    .tab_spanner(
        label="make and model",
        columns=["mfr", "model"]
    )
    .tab_style(
        style=[
            style.text(color="white", weight="bold"),
            style.fill(color="steelblue")
        ],
        locations=loc.column_header()
    )
    .fmt_integer(columns=["hp", "trq"])
    .fmt_currency(columns="msrp", decimals=0)
)

make and model		performance		msrp
mfr	model	hp	trq
Ford	GT	647	550	$447,000
Ferrari	458 Speciale	597	398	$291,744
Ferrari	458 Spider	562	398	$263,553
Ferrari	458 Italia	562	398	$233,509
Ferrari	488 GTB	661	561	$245,400