With numeric values in a gt table, we can perform formatting so that the
targeted values are rendered in engineering notation, where numbers are
written in the form of a mantissa (m
) and an exponent (n
). When combined
the construction is either of the form m x 10^n or mEn. The mantissa
is a number between 1
and 1000
and the exponent is a multiple of 3
. For
example, the number 0.0000345 can be written in engineering notation as
34.50 x 10^-6
. This notation helps to simplify calculations and make it
easier to compare numbers that are on very different scales.
We have fine control over the formatting task, with the following options:
decimals: choice of the number of decimal places, option to drop trailing zeros, and a choice of the decimal symbol
scaling: we can choose to scale targeted values by a multiplier value
pattern: option to use a text pattern for decoration of the formatted values
locale-based formatting: providing a locale ID will result in formatting specific to the chosen locale
Usage
fmt_engineering(
data,
columns = everything(),
rows = everything(),
decimals = 2,
drop_trailing_zeros = FALSE,
drop_trailing_dec_mark = TRUE,
scale_by = 1,
exp_style = "x10n",
pattern = "{x}",
sep_mark = ",",
dec_mark = ".",
force_sign_m = FALSE,
force_sign_n = FALSE,
locale = NULL
)
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
).- decimals
Number of decimal places
scalar<numeric|integer>(val>=0)
// default:2
This corresponds to the exact number of decimal places to use. A value such as
2.34
can, for example, be formatted with0
decimal places and it would result in"2"
. With4
decimal places, the formatted value becomes"2.3400"
.- drop_trailing_zeros
Drop any trailing zeros
scalar<logical>
// default:FALSE
A logical value that allows for removal of trailing zeros (those redundant zeros after the decimal mark).
- drop_trailing_dec_mark
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 (e.g.,
23
becomes23.
ifFALSE
). By default trailing decimal marks are not shown.- scale_by
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 thedefault
value is1
, no values will be changed unless a different multiplier value is supplied.- exp_style
Style declaration for exponent formatting
scalar<character>
// default:"x10n"
Style of formatting to use for the scientific notation formatting. By default this is
"x10n"
but other options include using a single letter (e.g.,"e"
,"E"
, etc.), a letter followed by a"1"
to signal a minimum digit width of one, or"low-ten"
for using a stylized"10"
marker.- pattern
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.- sep_mark
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 of1000
would result in a formatted value of"1,000"
. This argument is ignored if alocale
is supplied (i.e., is notNULL
).- dec_mark
Decimal mark
scalar<character>
// default:"."
The string to be used as the decimal mark. For example, using
dec_mark = ","
with the value0.152
would result in a formatted value of"0,152"
). This argument is ignored if alocale
is supplied (i.e., is notNULL
).- force_sign_m, force_sign_n
Forcing the display of a positive sign
scalar<logical>
// default:FALSE
Should the plus sign be shown for positive values of the mantissa (first component,
force_sign_m
) or the exponent (force_sign_n
)? This would effectively show a sign for all values except zero on either of those numeric components of the notation. If so, useTRUE
for either one of these options. The default for both isFALSE
, where only negative numbers will display a sign.- locale
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 callinfo_locales()
for a useful reference for all of the locales that are supported. A locale ID can be also set in the initialgt()
function call (where it would be used automatically by any function with alocale
argument) but alocale
value provided here will override that global locale.
Compatibility of formatting function with data values
fmt_engineering()
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.
Compatibility of arguments with the from_column()
helper function
from_column()
can be used with certain arguments of fmt_engineering()
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()
:
decimals
drop_trailing_zeros
drop_trailing_dec_mark
scale_by
exp_style
pattern
sep_mark
dec_mark
force_sign_m
force_sign_n
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.
Adapting output to a specific locale
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 valid 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.
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.
Examples
Let's define a data frame that contains two columns of values (one small
and one large
). After creating a simple gt table from small_large_tbl
we'll call fmt_engineering()
on both columns.
small_large_tbl <-
dplyr::tibble(
small = 10^(-12:-1),
large = 10^(1:12)
)
small_large_tbl |>
gt() |>
fmt_engineering()
Notice that within the form of m x 10^n, the n values move in steps of
3 (away from 0
), and m values can have 1-3 digits before the decimal.
Further to this, any values where n is 0
results in a display of only m
(the first two values in the large
column demonstrates this).
Engineering notation expresses values so that they are align to certain SI prefixes. Here is a table that compares select SI prefixes and their symbols to decimal and engineering-notation representations of the key numbers.
prefixes_tbl <-
dplyr::tibble(
name = c(
"peta", "tera", "giga", "mega", "kilo",
NA,
"milli", "micro", "nano", "pico", "femto"
),
symbol = c(
"P", "T", "G", "M", "k",
NA,
"m", ":micro:", "n", "p", "f"
),
decimal = c(10^(seq(15, -15, -3))),
engineering = decimal
)
prefixes_tbl |>
gt() |>
fmt_number(columns = decimal, n_sigfig = 1) |>
fmt_engineering(columns = engineering) |>
fmt_units(columns = symbol) |>
sub_missing()
The default method of styling the notation uses the 'm x 10^n'
construction but this can be changed to a 'mEn' style via the exp_style
argument. We can supply any single letter here and optionally affix a "1"
to indicate there should not be any zero-padding of the n value. Two calls
of fmt_engineering()
are used here to show different options for styling
in engineering notation.
small_large_tbl |>
gt() |>
fmt_engineering(
columns = small,
exp_style = "E"
) |>
fmt_engineering(
columns = large,
exp_style = "e1",
force_sign_n = TRUE
)
See also
The vector-formatting version of this function:
vec_fmt_engineering()
.
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_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()