loc.grand_summary

loc.grand_summary(columns=None, rows=None, mask=None)

Target the data cells in grand summary rows.

With loc.grand_summary() we can target the cells containing the grand summary data. 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

columns : SelectExpr = None

The columns to target. Can either be a single column name or a series of column names provided in a list.

rows : RowSelectExpr = None

The rows to target. Can either be a single row name or a series of row names provided in a list. Note that if rows are targeted by index, top and bottom grand summary rows are indexed as one combined list starting with the top rows.

Returns

: LocGrandSummary

A LocGrandSummary object, which is used for a locations= argument if specifying the table’s grand summary rows.

Examples

Let’s use a subset of the gtcars dataset in a new table. We will style all of the grand summary cells by using locations=loc.grand_summary() within tab_style().

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

(
    GT(
        gtcars[["mfr", "model", "hp", "trq", "mpg_c"]].head(6),
        rowname_col="model",
    )
    .fmt_integer(columns=["hp", "trq", "mpg_c"])
    .grand_summary_rows(
        fns={
            "Min": lambda df: df.min(numeric_only=True),
            "Max": lambda x: x.max(numeric_only=True),
        },
        side="top",
        fmt=vals.fmt_integer,
    )
    .tab_style(
        style=[style.text(color="crimson", weight="bold"), style.fill(color="lightgray")],
        locations=loc.grand_summary(),
    )
)

	mfr	hp	trq	mpg_c
Min	---	553	398	11
Max	---	661	561	16
GT	Ford	647	550	11
458 Speciale	Ferrari	597	398	13
458 Spider	Ferrari	562	398	13
458 Italia	Ferrari	562	398	13
488 GTB	Ferrari	661	561	15
California	Ferrari	553	557	16