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Enable 2D structures as aesthetics #6076

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2 changes: 2 additions & 0 deletions NEWS.md
Original file line number Diff line number Diff line change
Expand Up @@ -189,6 +189,8 @@
`labs()` and several guides (@teunbrand, #3196).
* `stat_summary_bin()` no longer ignores `width` parameter (@teunbrand, #4647).
* Added `keep.zeroes` argument to `stat_bin()` (@teunbrand, #3449)
* (internal) removed barriers for using 2D structures as aesthetics
(@teunbrand, #4189).

# ggplot2 3.5.1

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2 changes: 1 addition & 1 deletion R/geom-.R
Original file line number Diff line number Diff line change
Expand Up @@ -270,7 +270,7 @@ NULL
.stroke <- 96 / 25.4

check_aesthetics <- function(x, n) {
ns <- lengths(x)
ns <- list_sizes(x)
good <- ns == 1L | ns == n

if (all(good)) {
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5 changes: 3 additions & 2 deletions R/guide-.R
Original file line number Diff line number Diff line change
Expand Up @@ -530,11 +530,12 @@ opposite_position <- function(position) {

# Ensure that labels aren't a list of expressions, but proper expressions
validate_labels <- function(labels) {
if (!is.list(labels)) {
if (!obj_is_list(labels)) {
return(labels)
}
labels[lengths(labels) == 0L] <- ""
if (any(vapply(labels, is.language, logical(1)))) {
do.call(expression, labels)
inject(expression(!!!labels))
} else {
unlist(labels)
}
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4 changes: 2 additions & 2 deletions R/layer.R
Original file line number Diff line number Diff line change
Expand Up @@ -327,7 +327,7 @@ Layer <- ggproto("Layer", NULL,
}

n <- nrow(data)
aes_n <- lengths(evaled)
aes_n <- list_sizes(evaled)
if (n == 0) {
# No data, so look at longest evaluated aesthetic
if (length(evaled) == 0) {
Expand All @@ -352,7 +352,7 @@ Layer <- ggproto("Layer", NULL,
} else {
evaled$PANEL <- data$PANEL
}
evaled <- lapply(evaled, unname)
evaled <- lapply(evaled, vec_set_names, names = NULL)
evaled <- as_gg_data_frame(evaled)
evaled <- add_group(evaled)
evaled
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2 changes: 1 addition & 1 deletion R/layout.R
Original file line number Diff line number Diff line change
Expand Up @@ -318,7 +318,7 @@ scale_apply <- function(data, vars, method, scale_id, scales) {

lapply(vars, function(var) {
pieces <- lapply(seq_along(scales), function(i) {
scales[[i]][[method]](data[[var]][scale_index[[i]]])
scales[[i]][[method]](vec_slice(data[[var]], scale_index[[i]]))
})
# Remove empty vectors to avoid coercion issues with vctrs
pieces[lengths(pieces) == 0] <- NULL
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17 changes: 2 additions & 15 deletions R/scale-.R
Original file line number Diff line number Diff line change
Expand Up @@ -850,26 +850,13 @@ ScaleContinuous <- ggproto("ScaleContinuous", Scale,
labels <- self$labels
}

if (length(labels) != length(breaks)) {
if (!identical(size0(labels), size0(breaks))) {
cli::cli_abort(
"{.arg breaks} and {.arg labels} have different lengths.",
call = self$call
)
}
if (is.list(labels)) {
# Guard against list with empty elements
labels[lengths(labels) == 0] <- ""
# Make sure each element is scalar
labels <- lapply(labels, `[`, 1)

if (any(vapply(labels, is.language, logical(1)))) {
labels <- inject(expression(!!!labels))
} else {
labels <- unlist(labels)
}
}

labels
validate_labels(labels)
},

clone = function(self) {
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10 changes: 10 additions & 0 deletions R/utilities.R
Original file line number Diff line number Diff line change
Expand Up @@ -777,6 +777,16 @@ as_unordered_factor <- function(x) {
x
}

size0 <- function(x) {
if (obj_is_vector(x)) {
vec_size(x)
} else if (is.vector(x)) {
length(x)
} else {
NULL
}
}

warn_dots_used <- function(env = caller_env(), call = caller_env()) {
check_dots_used(
env = env, call = call,
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17 changes: 17 additions & 0 deletions tests/testthat/test-layer.R
Original file line number Diff line number Diff line change
Expand Up @@ -182,3 +182,20 @@ test_that("layer_data returns a data.frame", {
l <- geom_point(data = nrow)
expect_snapshot_error(l$layer_data(mtcars))
})

test_that("data.frames and matrix aesthetics survive the build stage", {
df <- data_frame0(
x = 1:2,
g = matrix(1:4, 2),
f = data_frame0(a = 1:2, b = c("c", "d"))
)

p <- layer_data(
ggplot(df, aes(x, x, colour = g, shape = f)) +
geom_point() +
scale_colour_identity() +
scale_shape_identity()
)
expect_vector(p$colour, matrix(NA_integer_, nrow = 0, ncol = 2), size = 2)
expect_vector(p$shape, data_frame0(a = integer(), b = character()), size = 2)
})
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