We can draw from a library of thousands of icons and selectively insert them
into a gt table. The fmt_icon()
function makes this possible and it
operates a lot like fmt_flag()
in that input cells need to contain some
reference to an icon name. We are exclusively using Font Awesome icons here
(and we do need to have the fontawesome package installed) so the
reference is the short icon name. Multiple icons can be included per cell by
separating icon names with commas (e.g., "hard-drive,clock"
). The sep
argument allows for a common separator to be applied between icons.
Usage
fmt_icon(
data,
columns = everything(),
rows = everything(),
height = "1em",
sep = " ",
stroke_color = NULL,
stroke_width = NULL,
stroke_alpha = NULL,
fill_color = NULL,
fill_alpha = NULL,
vertical_adj = NULL,
margin_left = NULL,
margin_right = NULL,
a11y = c("semantic", "decorative", "none")
)
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>
// default:everything()
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()
).- rows
Rows to target
<row-targeting expression>
// default:everything()
In conjunction with
columns
, we can specify which of their rows should undergo formatting. The defaulteverything()
results in all rows incolumns
being formatted. Alternatively, we can supply a vector of row captions withinc()
, a vector of row indices, or a select helper function (e.g.starts_with()
,ends_with()
,contains()
,matches()
,num_range()
, andeverything()
). We can also use expressions to filter down to the rows we need (e.g.,[colname_1] > 100 & [colname_2] < 50
).- height
Height of icon
scalar<character>
// default:"1em"
The absolute height of the icon in the table cell. By default, this is set to
"1em"
.- sep
Separator between icons
scalar<character>
// default:" "
In the output of icons within a body cell,
sep
provides the separator between each icon. By default, this is a single space character (" "
).- stroke_color
Color of the icon stroke/outline
scalar<character>
// default:NULL
(optional
)The icon stroke is essentially the outline of the icon. The color of the stroke can be modified by applying a single color here. If not provided then the default value of
"currentColor"
is applied so that the stroke color matches that of the parent HTML element's color attribute.- stroke_width
Width of the icon stroke/outline
scalar<character|numeric|integer>
// default:NULL
(optional
)The
stroke_width
option allows for setting the color of the icon outline stroke. By default, the stroke width is very small at"1px"
so a size adjustment here can sometimes be useful.- stroke_alpha
Transparency value for icon stroke/outline
scalar<numeric>
// default:NULL
(optional
)The level of transparency for the icon stroke can be controlled with a decimal value between
0
and1
.- fill_color
Color of the icon fill
scalar<character>|vector<character>
// default:NULL
(optional
)The fill color of the icon can be set with
fill_color
; providing a single color here will change the color of the fill but not of the icon's 'stroke' or outline (usestroke_color
to modify that). A named vector or named list comprising the icon names with corresponding fill colors can alternatively be used here (e.g.,list("circle-check" = "green", "circle-xmark" = "red"
). If nothing is provided then the default value of"currentColor"
is applied so that the fill matches the color of the parent HTML element's color attribute.- fill_alpha
Transparency value for icon fill
scalar<numeric|integer>(0>=val>=1)
// default:NULL
(optional
)The level of transparency for the icon fill can be controlled with a decimal value between
0
and1
.- vertical_adj
Vertical adjustment of icon from baseline
scalar<character|numeric|integer>
// default:NULL
(optional
)The vertical alignment of the icon. By default, a length of
"-0.125em"
is used.- margin_left
Margin width left of icon
scalar<character|numeric|integer>
// default:NULL
(optional
)The length value for the margin that's to the left of the icon can be set with
margin_left
. By default,"auto"
is used for this but if space is needed on the left-hand side then a length of"0.2em"
is recommended as a starting point.- margin_right
Margin width right of icon
scalar<character|numeric|integer>
// default:NULL
(optional
)The length value for the margin that's to the right of the icon can be set with
margin_right
. By default,"auto"
is used for this but if space is needed on the right-hand side then a length of"0.2em"
is recommended as a starting point.- a11y
Accessibility mode for icon
singl-kw:[semantic|decorative|none]
// default:"semantic"
The accessibility mode for the icon display can be set with the
a11y
argument. Icons can either be"semantic"
or"decorative"
. Using"none"
will result in no accessibility features for the icons.
Compatibility of formatting function with data values
fmt_icon()
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.
Compatibility of arguments with the from_column()
helper function
from_column()
can be used with certain arguments of fmt_icon()
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()
:
height
sep
stroke_color
stroke_width
stroke_alpha
fill_color
fill_alpha
vertical_adj
margin_left
margin_right
a11y
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.
Icons that can be used
fmt_icon()
relies on an installation of the fontawesome package to
operate and every icon within that package can be accessed here with either
an icon name or a full name. For example, the Arrow Down icon has an icon
name of "arrow-down"
and its corresponding full name is
"fas fa-arrow-down"
. In most cases you'll want to use the shorter name, but
some icons have both a Solid ("fas"
) and a Regular ("far"
) variant so
only the full name can disambiguate the pairing. In the latest release of
fontawesome (v0.5.2
), there are 2,025 icons and you can view the entire
icon listing by calling info_icons()
. What you'll get from that is an
information table showing every icon and associated set of identifiers.
Examples
For this first example of generating icons with fmt_icon()
, let's make a
simple tibble that has two columns of Font Awesome icon names. We separate
multiple icons per cell with commas. By default, the icons are 1 em in
height; we're going to make the icons slightly larger here (so we can see the
fine details of them) by setting height = "4em"
.
dplyr::tibble(
animals = c(
"hippo", "fish,spider", "mosquito,locust,frog",
"dog,cat", "kiwi-bird"
),
foods = c(
"bowl-rice", "egg,pizza-slice", "burger,lemon,cheese",
"carrot,hotdog", "bacon"
)
) |>
gt() |>
fmt_icon(height = "4em") |>
cols_align(align = "center", columns = everything())
Let's take a few rows from the towny
dataset and make it so the
csd_type
column contains Font Awesome icon names (we want only the
"city"
and "house-chimney"
icons here). After using fmt_icon()
to
format the csd_type
column, we get icons that are representative of the two
categories of municipality for this subset of data.
towny |>
dplyr::select(name, csd_type, population_2021) |>
dplyr::filter(csd_type %in% c("city", "town")) |>
dplyr::group_by(csd_type) |>
dplyr::slice_max(population_2021, n = 5) |>
dplyr::ungroup() |>
dplyr::mutate(
csd_type = ifelse(csd_type == "town", "house-chimney", "city")
) |>
gt() |>
fmt_integer() |>
fmt_icon(columns = csd_type) |>
cols_move_to_start(columns = csd_type) |>
cols_label(
csd_type = "",
name = "City/Town",
population_2021 = "Population"
)
Let's use a portion of the metro
dataset to create a gt table.
Depending on which train services are offered at the subset of stations,
Font Awesome icon names will be applied to cells where the different
services exist (the specific names are "train-subway"
, "train"
, and
"train-tram"
). With tidyr::unite()
, those icon names can be converged
into a single column (services
) with the NA
values removed. Since the
names correspond to icons and they are in the correct format (separated by
commas), they can be formatted as Font Awesome icons with fmt_icon()
.
metro |>
dplyr::select(name, lines, connect_rer, connect_tramway, location) |>
dplyr::slice_tail(n = 10) |>
dplyr::mutate(lines = "train-subway") |>
dplyr::mutate(connect_rer = ifelse(!is.na(connect_rer), "train", NA)) |>
dplyr::mutate(
connect_tramway = ifelse(!is.na(connect_tramway), "train-tram", NA)
) |>
tidyr::unite(
col = services,
lines:connect_tramway,
sep = ",",
na.rm = TRUE
) |>
gt() |>
fmt_icon(
columns = services,
a11y = "decorative"
) |>
cols_merge(
columns = c(name, services),
pattern = "{1} ({2})"
) |>
cols_label(
name = "Station",
location = "Location"
)
Taking a handful of starred reviews from a popular film review website, we
will attempt to format a numerical score (0 to 4) to use the "star"
and
"star-half"
icons. In this case, it is useful to generate the repeating
sequence of icon names (separated by commas) in the rating
column before
introducing the table to gt()
. We can make use of the numerical rating
values in stars
within fmt_icon()
with a little help from
from_column()
. Using that, we can dynamically adjust the icon's
fill_alpha
(i.e., opacity) value and accentuate the films with higher
scores.
dplyr::tibble(
film = c(
"The Passengers of the Night", "Serena", "The Father",
"Roma", "The Handmaiden", "Violet", "Vice"
),
stars = c(3, 1, 3.5, 4, 4, 2.5, 1.5)
) |>
dplyr::mutate(rating = dplyr::case_when(
stars %% 1 == 0 ~ strrep("star,", stars),
stars %% 1 != 0 ~ paste0(strrep("star,", floor(stars)), "star-half")
)) |>
gt() |>
fmt_icon(
columns = rating,
fill_color = "red",
fill_alpha = from_column("stars", fn = function(x) x / 4)
) |>
cols_hide(columns = stars) |>
tab_source_note(
source_note = md(
"Data obtained from <https://www.rogerebert.com/reviews>."
)
)
A fairly common thing to do with icons in tables is to indicate whether
a quantity is either higher or lower than another. Up and down arrow symbols
can serve as good visual indicators for this purpose. We can make use of the
"up-arrow"
and "down-arrow"
icons here. The fmt_icon()
function has to
find those text values in cells to generate the icons, so, let's generate the
text within a new column with cols_add()
(an expression is used therein to
generate the correct text given the close
and open
values). Following
that, fmt_icon()
is used and its fill_color
argument is provided with a
named vector that indicates which color should be used for each icon.
sp500 |>
dplyr::slice_head(n = 10) |>
dplyr::select(date, open, close) |>
dplyr::arrange(-dplyr::row_number()) |>
gt(rowname_col = "date") |>
cols_add(week = date, .after = date) |>
cols_add(dir = ifelse(close > open, "arrow-up", "arrow-down")) |>
cols_merge(columns = c(date, week), pattern = "{1} ({2})") |>
fmt_date(columns = date, date_style = "m_day_year") |>
fmt_datetime(columns = week, format = "w", pattern = "W{x}") |>
fmt_currency() |>
fmt_icon(
columns = dir,
fill_color = c("arrow-up" = "green", "arrow-down" = "red")
) |>
cols_label(
open = "Opening Value",
close = "Closing Value",
dir = ""
) |>
opt_stylize(style = 1, color = "gray")
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_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()
,
fmt_url()
,
sub_large_vals()
,
sub_missing()
,
sub_small_vals()
,
sub_values()
,
sub_zero()