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#' Discretized colourbar guide
#'
#' This guide is version of [guide_colourbar()] for binned colour and fill
#' scales. It shows areas between breaks as a single constant colour instead of
#' the gradient known from the colourbar counterpart.
#'
#' @param even.steps Should the rendered size of the bins be equal, or should
#' they be proportional to their length in the data space? Defaults to `TRUE`
#' @param show.limits Logical. Should the limits of the scale be shown with
#' labels and ticks. Default is `NULL` meaning it will take the value from the
#' scale. This argument is ignored if `labels` is given as a vector of
#' values. If one or both of the limits is also given in `breaks` it will be
#' shown irrespective of the value of `show.limits`.
#' @inheritParams guide_colourbar
#'
#' @inheritSection guide_bins Use with discrete scale
#'
#' @return A guide object
#' @export
#'
#' @family guides
#' @seealso
#' The `r link_book("binned legend section", "scales-colour#sec-guide-coloursteps")`
#' @examples
#' df <- expand.grid(X1 = 1:10, X2 = 1:10)
#' df$value <- df$X1 * df$X2
#'
#' p <- ggplot(df, aes(X1, X2)) + geom_tile(aes(fill = value))
#'
#' # Coloursteps guide is the default for binned colour scales
#' p + scale_fill_binned()
#'
#' # By default each bin in the guide is the same size irrespectively of how
#' # their sizes relate in data space
#' p + scale_fill_binned(breaks = c(10, 25, 50))
#'
#' # This can be changed with the `even.steps` argument
#' p + scale_fill_binned(
#' breaks = c(10, 25, 50),
#' guide = guide_coloursteps(even.steps = FALSE)
#' )
#'
#' # By default the limits is not shown, but this can be changed
#' p + scale_fill_binned(guide = guide_coloursteps(show.limits = TRUE))
#'
#' # (can also be set in the scale)
#' p + scale_fill_binned(show.limits = TRUE)
guide_coloursteps <- function(
title = waiver(),
theme = NULL,
alpha = NA,
even.steps = TRUE,
show.limits = NULL,
direction = NULL,
reverse = FALSE,
order = 0,
available_aes = c("colour", "color", "fill"),
...
) {
theme <- deprecated_guide_args(theme, ...)
check_number_decimal(alpha, min = 0, max = 1, allow_na = TRUE)
new_guide(
title = title,
theme = theme,
alpha = alpha,
even.steps = even.steps,
show.limits = show.limits,
direction = direction,
reverse = reverse,
order = order,
super = GuideColoursteps
)
}
#' @export
#' @rdname guide_coloursteps
guide_colorsteps <- guide_coloursteps
#' @rdname ggplot2-ggproto
#' @format NULL
#' @usage NULL
#' @export
GuideColoursteps <- ggproto(
"GuideColoursteps", GuideColourbar,
params = c(
list(even.steps = TRUE, show.limits = NULL),
vec_assign(GuideColourbar$params, "default_ticks", list(element_blank()))
),
extract_key = function(scale, aesthetic, even.steps, ...) {
breaks <- scale$get_breaks()
if (!(even.steps || !is.numeric(breaks))) {
return(Guide$extract_key(scale, aesthetic))
}
parsed <- parse_binned_breaks(scale, breaks)
if (is.null(parsed)) {
return(parsed)
}
limits <- parsed$limits
breaks <- parsed$breaks
key <- data_frame0(!!aesthetic := scale$map(breaks))
if (even.steps) {
key$.value <- seq_along(breaks)
} else {
key$.value <- breaks
}
key$.label <- scale$get_labels(breaks)
if (breaks[1] %in% limits) {
key$.value <- key$.value - 1L
key[[1]][1] <- NA
}
if (breaks[length(breaks)] %in% limits) {
key[[1]][nrow(key)] <- NA
}
# To avoid having to recalculate these variables in other methods, we
# attach the parsed values as attributes. It might not be very elegant,
# but it works.
attr(key, "parsed") <- parsed
key
},
extract_decor = function(scale, aesthetic, key,
reverse = FALSE, even.steps = TRUE,
nbin = 100, alpha = NA,...) {
parsed <- attr(key, "parsed")
breaks <- parsed$breaks %||% scale$get_breaks()
limits <- parsed$limits %||% scale$get_limits()
breaks <- sort(unique0(c(limits, breaks)))
n <- length(breaks)
bin_at <- parsed$bin_at %||% ((breaks[-1] + breaks[-n]) / 2)
if (even.steps) {
breaks <- seq_len(n) - 1L
}
data_frame0(
colour = alpha(scale$map(bin_at), alpha),
min = breaks[-n],
max = breaks[-1],
.size = length(bin_at)
)
},
extract_params = function(scale, params, direction = "vertical", title = waiver(), ...) {
show.limits <- params$show.limits %||% scale$show.limits %||% FALSE
if (show.limits &&
(is.character(scale$labels) || is.numeric(scale$labels))) {
cli::cli_warn(c(paste0(
"{.arg show.limits} is ignored when {.arg labels} are given as a ",
"character vector."
), "i" = paste0(
"Either add the limits to {.arg breaks} or provide a function for ",
"{.arg labels}."
)))
show.limits <- FALSE
}
if (show.limits) {
key <- params$key
limits <- attr(key, "parsed")$limits %||% scale$get_limits()
key <- key[c(NA, seq_len(nrow(key)), NA), , drop = FALSE]
n <- nrow(key)
key$.value[c(1, n)] <- range(params$decor$min, params$decor$max)
key$.label[c(1, n)] <- scale$get_labels(limits)
if (key$.value[1] == key$.value[2]) {
key <- vec_slice(key, -1)
n <- n - 1
}
if (key$.value[n - 1] == key$.value[n]) {
key <- vec_slice(key, -n)
}
params$key <- key
}
params$title <- scale$make_title(
params$title %|W|% scale$name %|W|% title
)
limits <- c(params$decor$min[1], params$decor$max[nrow(params$decor)])
if (params$reverse) {
limits <- rev(limits)
}
params$key$.value <- rescale(params$key$.value, from = limits)
params$decor$min <- rescale(params$decor$min, from = limits)
params$decor$max <- rescale(params$decor$max, from = limits)
params$key <-
vec_slice(params$key, !is.na(oob_censor_any(params$key$.value)))
params
},
build_decor = function(decor, grobs, elements, params) {
size <- abs(decor$max - decor$min)
just <- as.numeric(decor$min > decor$max)
gp <- gpar(col = NA, fill = decor$colour)
if (params$direction == "vertical") {
grob <- rectGrob(
x = 0, y = decor$min,
width = 1, height = size,
vjust = just, hjust = 0, gp = gp
)
} else {
grob <- rectGrob(
x = decor$min, y = 0,
height = 1, width = size,
hjust = just, vjust = 0, gp = gp
)
}
frame <- element_grob(elements$frame, fill = NA)
list(bar = grob, frame = frame, ticks = grobs$ticks)
}
)
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