loc.spanner_labels

loc.spanner_labels(ids=None)

Target spanner labels.

With loc.spanner_labels(), we can target the cells containing the spanner labels. 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.

Parameters

ids : SelectExpr = None

The ID values for the spanner labels to target. A list of one or more ID values is required.

Returns

: LocSpannerLabels

A LocSpannerLabels object, which is used for a locations= argument if specifying the table’s spanner labels.

Examples

Let’s use a subset of the gtcars dataset in a new table. We create two spanner labels through two separate calls of the tab_spanner() method. In each of those, the text supplied to label= argument is used as the ID value (though they have to be explicitly set via the id= argument). We will style only the spanner label having the text "performance" by using locations=loc.spanner_labels(ids=["performance"]) 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="blue", weight="bold"),
        locations=loc.spanner_labels(ids=["performance"])
    )
    .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