label_date()
and label_time()
label date/times using date/time format
strings. label_date_short()
automatically constructs a short format string
sufficient to uniquely identify labels. It's inspired by matplotlib's
ConciseDateFormatter
,
but uses a slightly different approach: ConciseDateFormatter
formats
"firsts" (e.g. first day of month, first day of day) specially;
date_short()
formats changes (e.g. new month, new year) specially.
label_timespan()
is intended to show time passed and adds common time units
suffix to the input (ns, us, ms, s, m, h, d, w).
For date_format()
and time_format()
a date/time format
string using standard POSIX specification. See strptime()
for details.
For date_short()
a character vector of length 4 giving the format
components to use for year, month, day, and hour respectively.
a time zone name, see timezones()
. Defaults
to UTC
Locale to use when for day and month names. The default
uses the current locale. Setting this argument requires stringi, and you
can see a complete list of supported locales with
stringi::stri_locale_list()
.
Separator to use when combining date formats into a single string.
The unit used to interpret numeric input
Add a space before the time unit?
Arguments passed on to number
accuracy
A number to round to. Use (e.g.) 0.01
to show 2 decimal
places of precision. If NULL
, the default, uses a heuristic that should
ensure breaks have the minimum number of digits needed to show the
difference between adjacent values.
Applied to rescaled data.
scale
A scaling factor: x
will be multiplied by scale
before
formatting. This is useful if the underlying data is very small or very
large.
prefix
Additional text to display before the number. The suffix is
applied to absolute value before style_positive
and style_negative
are
processed so that prefix = "$"
will yield (e.g.) -$1
and ($1)
.
suffix
Additional text to display after the number.
big.mark
Character used between every 3 digits to separate thousands.
decimal.mark
The character to be used to indicate the numeric decimal point.
style_positive
A string that determines the style of positive numbers:
"none"
(the default): no change, e.g. 1
.
"plus"
: preceded by +
, e.g. +1
.
"space"
: preceded by a Unicode "figure space", i.e., a space equally
as wide as a number or +
. Compared to "none"
, adding a figure space
can ensure numbers remain properly aligned when they are left- or
right-justified.
style_negative
A string that determines the style of negative numbers:
"hyphen"
(the default): preceded by a standard hypen -
, e.g. -1
.
"minus"
, uses a proper Unicode minus symbol. This is a typographical
nicety that ensures -
aligns with the horizontal bar of the
the horizontal bar of +
.
"parens"
, wrapped in parentheses, e.g. (1)
.
trim
Logical, if FALSE
, values are right-justified to a common
width (see base::format()
).
All label_()
functions return a "labelling" function, i.e. a function that
takes a vector x
and returns a character vector of length(x)
giving a
label for each input value.
Labelling functions are designed to be used with the labels
argument of
ggplot2 scales. The examples demonstrate their use with x scales, but
they work similarly for all scales, including those that generate legends
rather than axes.
date_range <- function(start, days) {
start <- as.POSIXct(start)
c(start, start + days * 24 * 60 * 60)
}
two_months <- date_range("2020-05-01", 60)
demo_datetime(two_months)
#> scale_x_datetime()
demo_datetime(two_months, labels = date_format("%m/%d"))
#> scale_x_datetime(labels = date_format("%m/%d"))
demo_datetime(two_months, labels = date_format("%e %b", locale = "fr"))
#> scale_x_datetime(labels = date_format("%e %b", locale = "fr"))
demo_datetime(two_months, labels = date_format("%e %B", locale = "es"))
#> scale_x_datetime(labels = date_format("%e %B", locale = "es"))
# ggplot2 provides a short-hand:
demo_datetime(two_months, date_labels = "%m/%d")
#> scale_x_datetime(date_labels = "%m/%d")
# An alternative labelling system is label_date_short()
demo_datetime(two_months, date_breaks = "7 days", labels = label_date_short())
#> scale_x_datetime(date_breaks = "7 days", labels = label_date_short())
# This is particularly effective for dense labels
one_year <- date_range("2020-05-01", 365)
demo_datetime(one_year, date_breaks = "month")
#> scale_x_datetime(date_breaks = "month")
demo_datetime(one_year, date_breaks = "month", labels = label_date_short())
#> scale_x_datetime(date_breaks = "month", labels = label_date_short())