fmt_url {gt} | R Documentation |
Format URLs to generate links
Description
Should cells contain URLs, fmt_url()
can be used to make them
navigable links. This should be expressly used on columns that contain only
URL text (i.e., no URLs as part of a larger block of text). Should you have
such a column of data, there are options for how the links should be styled.
They can be of the conventional style (with underlines and text coloring that
sets it apart from other text), or, they can appear to be button-like (with
a surrounding box that can be filled with a color of your choosing).
URLs in data cells are detected in two ways. The first is using the simple
Markdown notation for URLs of the form: [label](URL)
. The second assumes
that the text is the URL. In the latter case the URL is also used as the
label but there is the option to use the label
argument to modify that
text.
Usage
fmt_url(
data,
columns = everything(),
rows = everything(),
label = NULL,
as_button = FALSE,
color = "auto",
show_underline = "auto",
button_fill = "auto",
button_width = "auto",
button_outline = "auto",
target = NULL,
rel = NULL,
referrerpolicy = NULL,
hreflang = NULL
)
Arguments
data |
The gt table data object
This is the gt table object that is commonly created through use of the
|
columns |
Columns to target
Can either be a series of column names provided in |
rows |
Rows to target
In conjunction with |
label |
Link label
The visible 'label' to use for the link. If |
as_button |
Style link as a button
An option to style the link as a button. By default, this is
|
color |
Link color
The color used for the resulting link and its underline. This is
|
show_underline |
Show the link underline
Should the link be decorated with an underline? By
default this is |
button_fill , button_width , button_outline |
Button options
Options for styling a link-as-button (and only applies if
|
target , rel , referrerpolicy , hreflang |
Anchor element attributes
Additional anchor element attributes. For descriptions of each attribute and the allowed values, refer to the MDN Web Docs reference on the anchor HTML element. |
Value
An object of class gt_tbl
.
Compatibility of formatting function with data values
fmt_url()
is compatible with body cells that are of the "character"
or
"factor"
types. Any other types of body cells are ignored during formatting.
This is to say that cells of incompatible data types may be targeted, but
there will be no attempt to format them.
Targeting cells with columns
and rows
Targeting of values is done through columns
and additionally by rows
(if
nothing is provided for rows
then entire columns are selected). The
columns
argument allows us to target a subset of cells contained in the
resolved columns. We say resolved because aside from declaring column names
in c()
(with bare column names or names in quotes) we can use
tidyselect-style expressions. This can be as basic as supplying a select
helper like starts_with()
, or, providing a more complex incantation like
where(~ is.numeric(.x) && max(.x, na.rm = TRUE) > 1E6)
which targets numeric columns that have a maximum value greater than
1,000,000 (excluding any NA
s from consideration).
By default all columns and rows are selected (with the everything()
defaults). Cell values that are incompatible with a given formatting function
will be skipped over, like character
values and numeric fmt_*()
functions. So it's safe to select all columns with a particular formatting
function (only those values that can be formatted will be formatted), but,
you may not want that. One strategy is to format the bulk of cell values with
one formatting function and then constrain the columns for later passes with
other types of formatting (the last formatting done to a cell is what you get
in the final output).
Once the columns are targeted, we may also target the rows
within those
columns. This can be done in a variety of ways. If a stub is present, then we
potentially have row identifiers. Those can be used much like column names in
the columns
-targeting scenario. We can use simpler tidyselect-style
expressions (the select helpers should work well here) and we can use quoted
row identifiers in c()
. It's also possible to use row indices (e.g.,
c(3, 5, 6)
) though these index values must correspond to the row numbers of
the input data (the indices won't necessarily match those of rearranged rows
if row groups are present). One more type of expression is possible, an
expression that takes column values (can involve any of the available columns
in the table) and returns a logical vector. This is nice if you want to base
formatting on values in the column or another column, or, you'd like to use a
more complex predicate expression.
Compatibility of arguments with the from_column()
helper function
from_column()
can be used with certain arguments of fmt_url()
to obtain
varying parameter values from a specified column within the table. This means
that each row could be formatted a little bit differently. These arguments
provide support for from_column()
:
-
label
-
as_button
-
color
-
show_underline
-
button_fill
-
button_width
-
button_outline
Please note that for each of the aforementioned arguments, a from_column()
call needs to reference a column that has data of the correct type (this is
different for each argument). Additional columns for parameter values can be
generated with cols_add()
(if not already present). Columns that contain
parameter data can also be hidden from final display with cols_hide()
.
Finally, there is no limitation to how many arguments the from_column()
helper is applied so long as the arguments belong to this closed set.
Examples
Using a portion of the towny
dataset, let's create a gt table. We can
use fmt_url()
on the website
column to generate navigable links to
websites. By default the links are underlined and the color will be chosen
for you (it's dark cyan).
towny |> dplyr::filter(csd_type == "city") |> dplyr::arrange(desc(population_2021)) |> dplyr::select(name, website, population_2021) |> dplyr::slice_head(n = 10) |> gt() |> tab_header( title = md("The 10 Largest Municipalities in `towny`"), subtitle = "Population values taken from the 2021 census." ) |> fmt_integer() |> fmt_url(columns = website) |> cols_label( name = "Name", website = "Site", population_2021 = "Population" )
Let's try something else. We can set a static text label for the link with
the label
argument (and we'll use the word "site"
for this). The link
underline is removable with show_underline = FALSE
. With this change, it
seems sensible to merge the link to the "name"
column and enclose the link
text in parentheses (cols_merge()
handles all that).
towny |> dplyr::filter(csd_type == "city") |> dplyr::arrange(desc(population_2021)) |> dplyr::select(name, website, population_2021) |> dplyr::slice_head(n = 10) |> gt() |> tab_header( title = md("The 10 Largest Municipalities in `towny`"), subtitle = "Population values taken from the 2021 census." ) |> fmt_integer() |> fmt_url( columns = website, label = "site", show_underline = FALSE ) |> cols_merge( columns = c(name, website), pattern = "{1} ({2})" ) |> cols_label( name = "Name", population_2021 = "Population" )
fmt_url()
allows for the styling of links as 'buttons'. This is as easy as
setting as_button = TRUE
. Doing that unlocks the ability to set a
button_fill
color. This color can automatically selected by gt
(this is the default) but here we're using "steelblue"
. The label
argument also accepts a function! We can choose to adapt the label text from
the URLs by eliminating any leading "https://"
or "www."
parts.
towny |> dplyr::filter(csd_type == "city") |> dplyr::arrange(desc(population_2021)) |> dplyr::select(name, website, population_2021) |> dplyr::slice_head(n = 10) |> dplyr::mutate(ranking = dplyr::row_number()) |> gt(rowname_col = "ranking") |> tab_header( title = md("The 10 Largest Municipalities in `towny`"), subtitle = "Population values taken from the 2021 census." ) |> fmt_integer() |> fmt_url( columns = website, label = function(x) gsub("https://|www.", "", x), as_button = TRUE, button_fill = "steelblue", button_width = px(150) ) |> cols_move_to_end(columns = website) |> cols_align(align = "center", columns = website) |> cols_width( ranking ~ px(40), website ~ px(200) ) |> tab_options(column_labels.hidden = TRUE) |> tab_style( style = cell_text(weight = "bold"), locations = cells_stub() ) |> opt_vertical_padding(scale = 0.75)
It's perhaps inevitable that you'll come across missing values in your column
of URLs. fmt_url()
will preserve input NA
values, allowing you to handle
them with sub_missing()
. Here's an example of that.
towny |> dplyr::arrange(population_2021) |> dplyr::select(name, website, population_2021) |> dplyr::slice_head(n = 10) |> gt() |> tab_header( title = md("The 10 Smallest Municipalities in `towny`"), subtitle = "Population values taken from the 2021 census." ) |> fmt_integer() |> fmt_url(columns = website) |> cols_label( name = "Name", website = "Site", population_2021 = "Population" ) |> sub_missing()
Links can be presented as icons. Let's take a look at an example of this type
of presentation with a table based on the films
dataset. The imdb_url
column contains the URL information and in the fmt_url()
call, we can use
fontawesome::fa()
to specify a label
. In this case we elect to use the
"link"
icon and we can make some sizing adjustments to the icon here to
ensure the layout looks optimal. We also use cols_merge()
to combine
the film's title, its original title (if present), and the link icon.
films |> dplyr::filter(year == 2021) |> dplyr::select( contains("title"), run_time, director, imdb_url ) |> gt() |> tab_header(title = "Feature Films in Competition at the 2021 Festival") |> fmt_url( columns = imdb_url, label = fontawesome::fa( name = "link", height = "0.75em", vertical_align = "0em" ), color = "gray65" ) |> cols_merge( columns = c(title, original_title, imdb_url), pattern = "{1}<< ({2})>> {3}" ) |> cols_label( title = "Film", run_time = "Length", director = "Director(s)", ) |> tab_options(heading.title.font.size = px(26)) |> opt_vertical_padding(scale = 0.4) |> opt_horizontal_padding(scale = 2) |> opt_align_table_header(align = "left")
Function ID
3-21
Function Introduced
v0.9.0
(Mar 31, 2023)
See Also
Other data formatting functions:
data_color()
,
fmt()
,
fmt_auto()
,
fmt_bins()
,
fmt_bytes()
,
fmt_chem()
,
fmt_country()
,
fmt_currency()
,
fmt_date()
,
fmt_datetime()
,
fmt_duration()
,
fmt_email()
,
fmt_engineering()
,
fmt_flag()
,
fmt_fraction()
,
fmt_icon()
,
fmt_image()
,
fmt_index()
,
fmt_integer()
,
fmt_markdown()
,
fmt_number()
,
fmt_partsper()
,
fmt_passthrough()
,
fmt_percent()
,
fmt_roman()
,
fmt_scientific()
,
fmt_spelled_num()
,
fmt_tf()
,
fmt_time()
,
fmt_units()
,
sub_large_vals()
,
sub_missing()
,
sub_small_vals()
,
sub_values()
,
sub_zero()