It's possible to move a set of columns to the end of the column series, we
only need to specify which columns
are to be moved. While this can be done
upstream of gt, this function makes to process much easier and it's less
error prone. The ordering of the columns
that are moved to the end is
preserved (same with the ordering of all other columns in the table).
Arguments
- data
The gt table data object
obj:<gt_tbl>
// requiredThis is the gt table object that is commonly created through use of the
gt()
function.- columns
Columns to target
<column-targeting expression>
// requiredThe columns for which the moving operations should be applied. Can either be a series of column names provided in
c()
, a vector of column indices, or a select helper function (e.g.starts_with()
,ends_with()
,contains()
,matches()
,num_range()
, andeverything()
. The columns move as a group to the right-most side of the table. The order of the remaining columns will be preserved.
Details
The columns supplied in columns
must all exist in the table. If you need to
place one or columns at the start of the column series, cols_move_to_start()
should be used. More control is offered with cols_move()
, where columns
could be placed after a specific column.
Examples
For this example, we'll use a portion of the countrypops
dataset to
create a simple gt table. Let's move the year
column, which is the
middle column, to the end of the column series with cols_move_to_end()
.
countrypops |>
dplyr::select(-contains("code")) |>
dplyr::filter(
country_name == "Benin",
year %in% 2017:2021
) |>
gt() |>
cols_move_to_end(columns = year)
We can also move multiple columns at a time. With the same
countrypops
-based table, let's move both the year
and country_name
columns to the end of the column series.
See also
Other column modification functions:
cols_add()
,
cols_align()
,
cols_align_decimal()
,
cols_hide()
,
cols_label()
,
cols_label_with()
,
cols_merge()
,
cols_merge_n_pct()
,
cols_merge_range()
,
cols_merge_uncert()
,
cols_move()
,
cols_move_to_start()
,
cols_nanoplot()
,
cols_unhide()
,
cols_units()
,
cols_width()