fmt_bytes | R Documentation |
With numeric values in a gt table, we can transform those to values of
bytes with human readable units. fmt_bytes()
allows for the
formatting of byte sizes to either of two common representations: (1) with
decimal units (powers of 1000, examples being "kB"
and "MB"
), and (2)
with binary units (powers of 1024, examples being "KiB"
and "MiB"
).
It is assumed the input numeric values represent the number of bytes and automatic truncation of values will occur. The numeric values will be scaled to be in the range of 1 to <1000 and then decorated with the correct unit symbol according to the standard chosen. For more control over the formatting of byte sizes, we can use the following options:
decimals: choice of the number of decimal places, option to drop trailing zeros, and a choice of the decimal symbol
digit grouping separators: options to enable/disable digit separators and provide a choice of separator symbol
pattern: option to use a text pattern for decoration of the formatted values
locale-based formatting: providing a locale ID will result in number formatting specific to the chosen locale
fmt_bytes(
data,
columns = everything(),
rows = everything(),
standard = c("decimal", "binary"),
decimals = 1,
n_sigfig = NULL,
drop_trailing_zeros = TRUE,
drop_trailing_dec_mark = TRUE,
use_seps = TRUE,
pattern = "{x}",
sep_mark = ",",
dec_mark = ".",
force_sign = FALSE,
incl_space = TRUE,
locale = NULL
)
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 |
standard |
Standard used to express byte sizes
The form of expressing large byte sizes is divided between: (1) decimal
units (powers of 1000; e.g., |
decimals |
Number of decimal places
This corresponds to the exact number of decimal places to use. A value
such as |
n_sigfig |
Number of significant figures
A option to format numbers to n significant figures. By default, this is
|
drop_trailing_zeros |
Drop any trailing zeros
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
A logical value that determines whether decimal marks should always appear
even if there are no decimal digits to display after formatting (e.g., |
use_seps |
Use digit group separators
An option to use digit group separators. The type of digit group separator
is set by |
pattern |
Specification of the formatting pattern
A formatting pattern that allows for decoration of the formatted value. The
formatted value is represented by the |
sep_mark |
Separator mark for digit grouping
The string to use as a separator between groups of digits. For example,
using |
dec_mark |
Decimal mark
The string to be used as the decimal mark. For example, using
|
force_sign |
Forcing the display of a positive sign
Should the positive sign be shown for positive numbers (effectively showing
a sign for all numbers except zero)? If so, use |
incl_space |
Include a space between the value and the units
An option for whether to include a space between the value and the units. The default is to use a space character for separation. |
locale |
Locale identifier
An optional locale identifier that can be used for formatting values
according the locale's rules. Examples include |
An object of class gt_tbl
.
fmt_bytes()
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.
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.
from_column()
helper functionfrom_column()
can be used with certain arguments of fmt_bytes()
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()
:
standard
decimals
n_sigfig
drop_trailing_zeros
drop_trailing_dec_mark
use_seps
pattern
sep_mark
dec_mark
force_sign
incl_space
locale
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.
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.
Use a single column from the exibble
dataset and create a simple gt
table. We'll use fmt_bytes()
to format the num
column to display as byte
sizes in the decimal standard.
exibble |> dplyr::select(num) |> gt() |> fmt_bytes()
Let's create an analogous table again by using fmt_bytes()
,
this time showing byte sizes as binary values by using standard = "binary"
.
exibble |> dplyr::select(num) |> gt() |> fmt_bytes(standard = "binary")
3-12
v0.3.0
(May 12, 2021)
The vector-formatting version of this function: vec_fmt_bytes()
.
Other data formatting functions:
data_color()
,
fmt()
,
fmt_auto()
,
fmt_bins()
,
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()
,
fmt_url()
,
sub_large_vals()
,
sub_missing()
,
sub_small_vals()
,
sub_values()
,
sub_zero()
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