With numeric values in a gt table, we can perform currency-based
formatting with fmt_currency()
. The function supports both
automatic formatting with either a three-letter or a numeric currency code.
We can also specify a custom currency that is formatted according to one or
more output contexts with the currency()
helper function. We have fine
control over the conversion from numeric values to currency values, where we
could take advantage of the following options:
the currency: providing a currency code or common currency name will
procure the correct currency symbol and number of currency subunits; we could
also use the currency()
helper function to specify a custom currency
currency symbol placement: the currency symbol can be placed before or after the values
decimals/subunits: choice of the number of decimal places, and a choice of the decimal symbol, and an option on whether to include or exclude the currency subunits (the decimal portion)
negative values: choice of a negative sign or parentheses for values less than zero
digit grouping separators: options to enable/disable digit separators and provide a choice of separator symbol
scaling: we can choose to scale targeted values by a multiplier value
large-number suffixing: larger figures (thousands, millions, etc.) can be autoscaled and decorated with the appropriate suffixes
pattern: option to use a text pattern for decoration of the formatted currency values
locale-based formatting: providing a locale ID will result in currency formatting specific to the chosen locale; it will also retrieve the locale's currency if none is explicitly given
We can call info_currencies()
for a useful reference on all of the valid
inputs to the currency
argument.
fmt_currency(
data,
columns = everything(),
rows = everything(),
currency = NULL,
use_subunits = TRUE,
decimals = NULL,
drop_trailing_dec_mark = TRUE,
use_seps = TRUE,
accounting = FALSE,
scale_by = 1,
suffixing = FALSE,
pattern = "{x}",
sep_mark = ",",
dec_mark = ".",
force_sign = FALSE,
placement = "left",
incl_space = FALSE,
system = c("intl", "ind"),
locale = NULL
)
An object of class gt_tbl
.
The gt table data object
obj:<gt_tbl>
// required
This is the gt table object that is commonly created through use of the
gt()
function.
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()
and everything()
).
Rows to target
<row-targeting expression>
// default: everything()
In conjunction with columns
, we can specify which of their rows should
undergo formatting. The default everything()
results in all rows in
columns
being formatted. Alternatively, we can supply a vector of row
captions within c()
, a vector of row indices, or a select helper
function (e.g. starts_with()
, ends_with()
, contains()
, matches()
,
num_range()
, and everything()
). We can also use expressions to filter
down to the rows we need (e.g., [colname_1] > 100 & [colname_2] < 50
).
Currency to use
scalar<character>|obj:<gt_currency>
// default: NULL
(optional
)
The currency to use for the numeric value. This input can be
supplied as a 3-letter currency code (e.g., "USD"
for U.S. Dollars,
"EUR"
for the Euro currency). Use info_currencies()
to get an
information table with all of the valid currency codes and examples of
each. Alternatively, we can provide a general currency type (e.g.,
"dollar"
, "pound"
, "yen"
, etc.) to simplify the process. Use
info_currencies()
with the type == "symbol"
option to view an
information table with all of the supported currency symbol names along
with examples.
We can also use the currency()
helper function to specify a custom
currency, where the string could vary across output contexts. For example,
using currency(html = "ƒ", default = "f")
would give us a suitable
glyph for the Dutch guilder in an HTML output table, and it would simply be
the letter "f" in all other output contexts). Please note that decimals
will default to 2
when using the currency()
helper function.
If nothing is provided here but a locale
value has been set (either in
this function call or as part of the initial gt()
call), the currency
will be obtained from that locale. Virtually all locales are linked to a
territory that is a country (use info_locales()
for details on all
locales used in this package), so, the in-use (or de facto) currency will
be obtained. As the default locale is "en"
, the "USD"
currency will be
used if neither a locale
nor a currency
value is given.
Show or hide currency subunits
scalar<logical>
// default: TRUE
An option for whether the subunits portion of a currency value should be
displayed. For example, with an input value of 273.81
, the default
formatting will produce "$273.81"
. Removing the subunits (with
use_subunits = FALSE
) will give us "$273"
.
Number of decimal places
scalar<numeric|integer>(val>=0)
// default: NULL
(optional
)
The decimals
values corresponds to the exact number of decimal places to
use. This value is optional as a currency has an intrinsic number of
decimal places (i.e., the subunits). A value such as 2.34
can, for
example, be formatted with 0
decimal places and if the currency used is
"USD"
it would result in "$2"
. With 4
decimal places, the formatted
value becomes "$2.3400"
.
Drop the trailing decimal mark
scalar<logical>
// default: TRUE
A logical value that determines whether decimal marks should always appear
even if there are no decimal digits to display after formatting. For
example, when use_subunits = FALSE
or decimals = 0
a formatted value
such as "$23"
can be fashioned as "$23."
by setting
drop_trailing_dec_mark = FALSE
.
Use digit group separators
scalar<logical>
// default: TRUE
An option to use digit group separators. The type of digit group separator
is set by sep_mark
and overridden if a locale ID is provided to locale
.
This setting is TRUE
by default.
Use accounting style
scalar<logical>
// default: FALSE
An option to use accounting style for values. Normally, negative values will be shown with a minus sign but using accounting style will instead put any negative values in parentheses.
Scale values by a fixed multiplier
scalar<numeric|integer>
// default: 1
All numeric values will be multiplied by the scale_by
value before
undergoing formatting. Since the default
value is 1
, no values will be
changed unless a different multiplier value is supplied. This value will be
ignored if using any of the suffixing
options (i.e., where suffixing
is
not set to FALSE
).
Specification for large-number suffixing
scalar<logical>|vector<character>
// default: FALSE
The suffixing
option allows us to scale and apply suffixes to larger
numbers (e.g., 1924000
can be transformed to 1.92M
). This option can
accept a logical value, where FALSE
(the default) will not perform this
transformation and TRUE
will apply thousands ("K"
), millions ("M"
),
billions ("B"
), and trillions ("T"
) suffixes after automatic value
scaling.
We can alternatively provide a character vector that serves as a
specification for which symbols are to be used for each of the value ranges.
These preferred symbols will replace the defaults (e.g.,
c("k", "Ml", "Bn", "Tr")
replaces "K"
, "M"
, "B"
, and "T"
).
Including NA
values in the vector will ensure that the particular range
will either not be included in the transformation (e.g.,
c(NA, "M", "B", "T")
won't modify numbers at all in the thousands range)
or the range will inherit a previous suffix (e.g., with
c("K", "M", NA, "T")
, all numbers in the range of millions and billions
will be in terms of millions).
Any use of suffixing
(where it is not set expressly as FALSE
) means
that any value provided to scale_by
will be ignored.
If using system = "ind"
then the default suffix set provided by
suffixing = TRUE
will be the equivalent of c(NA, "L", "Cr")
. This
doesn't apply suffixes to the thousands range, but does express values in
lakhs and crores.
Specification of the formatting pattern
scalar<character>
// default: "{x}"
A formatting pattern that allows for decoration of the formatted value. The
formatted value is represented by the {x}
(which can be used multiple
times, if needed) and all other characters will be interpreted as string
literals.
Separator mark for digit grouping
scalar<character>
// default: ","
The string to use as a separator between groups of digits. For example,
using sep_mark = ","
with a value of 1000
would result in a formatted
value of "1,000"
. This argument is ignored if a locale
is supplied
(i.e., is not NULL
).
Decimal mark
scalar<character>
// default: "."
The string to be used as the decimal mark. For example, using
dec_mark = ","
with the value 0.152
would result in a formatted value
of "0,152"
). This argument is ignored if a locale
is supplied (i.e., is
not NULL
).
Forcing the display of a positive sign
scalar<logical>
// default: FALSE
Should the positive sign be shown for positive values (effectively showing
a sign for all values except zero)? If so, use TRUE
for this option. The
default is FALSE
, where only negative numbers will display a minus sign.
This option is disregarded when using accounting notation with
accounting = TRUE
.
Currency symbol placement
singl-kw:[left|right]
// default: "left"
The placement of the currency symbol. This can be either be "left"
(as
in "$450"
) or "right"
(which yields "450$"
).
Include a space between the value and the currency symbol
scalar<logical>
// default: FALSE
An option for whether to include a space between the value and the currency symbol. The default is to not introduce a space character.
Numbering system for grouping separators
singl-kw:[intl|ind]
// default: "intl"
The international numbering system (keyword: "intl"
) is widely used and
its grouping separators (i.e., sep_mark
) are always separated by three
digits. The alternative system, the Indian numbering system (keyword:
"ind"
), uses grouping separators that correspond to thousand, lakh,
crore, and higher quantities.
Locale identifier
scalar<character>
// default: NULL
(optional
)
An optional locale identifier that can be used for formatting values
according to the locale's rules. Examples include "en"
for English (United
States) and "fr"
for French (France). We can call info_locales()
for a
useful reference for all of the locales that are supported. A locale ID can
be also set in the initial gt()
function call (where it would be used
automatically by any function with a locale
argument) but a locale
value provided here will override that global locale.
fmt_currency()
is compatible with body cells that are of the "numeric"
or
"integer"
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.
from_column()
can be used with certain arguments of fmt_currency()
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()
:
currency
use_subunits
decimals
drop_trailing_dec_mark
use_seps
accounting
scale_by
suffixing
pattern
sep_mark
dec_mark
force_sign
placement
incl_space
system
locale
Please note that for all 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.
This formatting function can adapt outputs according to a provided locale
value. Examples include "en"
for English (United States) and "fr"
for
French (France). The use of a locale ID here means separator and
decimal marks will be correct for the given locale. Should any values be
provided in sep_mark
or dec_mark
, they will be overridden by the locale's
preferred values. In addition to number formatting, providing a locale
value and not providing a currency
allows gt to obtain the currency
code from the locale's territory.
Note that a locale
value provided here will override any global locale
setting performed in gt()
's own locale
argument (it is settable there as
a value received by all other functions that have a locale
argument). As a
useful reference on which locales are supported, we can call info_locales()
to view an info table.
Let's make a simple gt table from the exibble
dataset. We'll keep
only the num
and currency
, columns, then, format those columns using
fmt_currency()
(with the "JPY"
and "GBP"
currencies).
exibble |>
dplyr::select(num, currency) |>
gt() |>
fmt_currency(
columns = num,
currency = "JPY"
) |>
fmt_currency(
columns = currency,
currency = "GBP"
)
Let's take a single column from exibble
(currency
) and format it with a
currency name (this differs from the 3-letter currency code). In this case,
we'll use the "euro"
currency and set the placement of the symbol to the
right of any value. Additionally, the currency symbol will separated from the
value with a single space character (using incl_space = TRUE
).
exibble |>
dplyr::select(currency) |>
gt() |>
fmt_currency(
currency = "euro",
placement = "right",
incl_space = TRUE
)
With the pizzaplace
dataset, let's make a summary table that gets the
number of "hawaiian"
pizzas sold (and revenue generated) by month. In the
gt table, we'll format only the revenue
column. The currency
value is
automatically U.S. Dollars when don't supply either a currency code or a
locale. We'll also create a grand summary with grand_summary_rows()
. Within
that summary row, the total revenue needs to be formatted with
fmt_currency()
and we can do that within the fmt
argument.
pizzaplace |>
dplyr::filter(name == "hawaiian") |>
dplyr::mutate(month = lubridate::month(date, label = TRUE, abbr = TRUE)) |>
dplyr::select(month, price) |>
dplyr::group_by(month) |>
dplyr::summarize(
`number sold` = dplyr::n(),
revenue = sum(price)
) |>
gt(rowname_col = "month") |>
tab_header(title = "Summary of Hawaiian Pizzas Sold by Month") |>
fmt_currency(columns = revenue) |>
grand_summary_rows(
fns = list(label = "Totals:", id = "totals", fn = "sum"),
fmt = ~ fmt_currency(., columns = revenue),
) |>
opt_all_caps()
If supplying a locale
value to fmt_currency()
, we can opt use the
locale's assumed currency and not have to supply a currency
value (doing so
would override the locale's default currency). With a column of locale
values, we can format currency values on a row-by-row basis through the use
of from_column()
. Here, we'll reference the locale
column in the argument
of the same name.
dplyr::tibble(
amount = rep(50.84, 5),
currency = c("JPY", "USD", "GHS", "KRW", "CNY"),
locale = c("ja", "en", "ee", "ko", "zh"),
) |>
gt() |>
fmt_currency(
columns = amount,
locale = from_column(column = "locale")
) |>
cols_hide(columns = locale)
We can similarly use from_column()
to reference a column that has currency
code values. Here's an example of how to create a simple currency conversion
table. The curr
column contains the 3-letter currency codes, and that
column is referenced via from_column()
in the currency
argument of
fmt_currency()
.
dplyr::tibble(
flag = c("EU", "GB", "CA", "AU", "JP", "IN"),
curr = c("EUR", "GBP", "CAD", "AUD", "JPY", "INR"),
conv = c(
0.912952, 0.787687, 1.34411,
1.53927, 144.751, 82.9551
)
) |>
gt() |>
fmt_currency(
columns = conv,
currency = from_column(column = "curr")
) |>
fmt_flag(columns = flag) |>
cols_merge(columns = c(flag, curr)) |>
cols_label(
flag = "Currency",
conv = "Amount"
) |>
tab_header(
title = "Conversion of 1 USD to Six Other Currencies",
subtitle = md("Conversion rates obtained on **Aug 13, 2023**")
)
3-8
v0.2.0.5
(March 31, 2020)
The vector-formatting version of this function:
vec_fmt_currency()
.
Other data formatting functions:
data_color()
,
fmt()
,
fmt_auto()
,
fmt_bins()
,
fmt_bytes()
,
fmt_chem()
,
fmt_country()
,
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()
,
fmt_url()
,
sub_large_vals()
,
sub_missing()
,
sub_small_vals()
,
sub_values()
,
sub_zero()