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expect_traces <- function(gg, n.traces, name){
stopifnot(is.numeric(n.traces))
L <- expect_doppelganger_built(gg, paste0("legend-", name))
all.traces <- L$data
no.data <- sapply(all.traces, function(tr) {
is.null(tr[["x"]]) && is.null(tr[["y"]])
})
has.data <- all.traces[!no.data]
expect_equivalent(length(has.data), n.traces)
list(data = has.data, layout = L$layout)
}
p <- ggplot(mtcars, aes(x = mpg, y = wt, color = factor(vs), shape = factor(cyl))) +
geom_point()
test_that("Discrete colour and shape get merged into one legend", {
info <- expect_doppelganger_built(p, "scatter_legend")
expect_equivalent(length(info$data), 5)
expect_true(info$layout$showlegend)
# 5 legend entries
expect_equivalent(sum(sapply(info$data, "[[", "showlegend")), 5)
# verify entries are sorted correctly
nms <- sapply(info$data, "[[", "name")
d <- unique(mtcars[c("vs", "cyl")])
d <- d[order(d$vs, d$cyl), ]
expect_identical(
nms, paste0("(", d$vs, ",", d$cyl, ")")
)
legend_title <- info$layout$legend$title$text
expect_match(legend_title, "^factor\\(vs\\)")
expect_match(legend_title, "factor\\(cyl\\)$")
})
test_that("legend vanishes when theme(legend.position = 'none'')", {
info <- expect_traces(p + theme(legend.position = "none"), 5, "hide")
expect_identical(info$layout$showlegend, FALSE)
})
test_that("aesthetics can be discarded from legend with guide(aes = 'none')", {
df1 <- data.frame(
Date = seq(as.Date("2021-01-01"), as.Date("2021-01-10"), "days"),
Series = c(rep("SeriesA", 10), rep("SeriesB", 10)),
Values = rnorm(n = 20),
Mean = 0, V1 = 2, V2 = -2
)
p <- ggplot(df1, aes(x=Date, y=Values, color = Series, linetype = Series, shape = Series)) +
geom_line(aes(x = Date, y = Mean, color = "Mean", linetype = "Mean")) +
geom_line(aes(x = Date, y = V1, color = "QC", linetype = "QC")) +
geom_line(aes(x = Date, y = V2, color = "QC", linetype = "QC")) +
geom_line() +
geom_point() +
guides(shape = "none", linetype = "none")
expect_doppelganger(p, "guide-aes-none")
})
test_that("legend can be manipulated via guides(aes = guide_xxx())", {
# Issue posted on Stackoverflow
# https://stackoverflow.com/questions/75365694/plotly-did-not-show-legend-when-converted-from-ggplot
data <- data.frame(
stringsAsFactors = FALSE,
Level = c("Fast","Fast","Fast","Fast",
"Fast","Fast","Slow","Slow","Slow",
"Slow","Slow","Slow"),
Period = c("1Year","3Month","1Year","3Month",
"1Year","3Month","1Year","3Month",
"1Year","3Month","1Year","3Month"),
X = c(0.002,0.002,0.1,0.1,0.9,0.9,
0.002,0.002,0.1,0.1,0.9,0.9),
Y = c(1.38,1.29,1.61,1.61,1.74,0.98,
1.14,0.97,1.09,1.1,0.94,0.58)
)
gg <- ggplot(data = data,
aes(x = X,
y = Y,
shape = Period,
color = Level)) +
geom_point(alpha = 0.6, size = 3) +
labs(x = " ",
y = "Value") +
scale_y_continuous(labels = scales::number_format(accuracy = 0.1)) +
guides(color = guide_legend(title = "Period", order = 1),
shape = guide_legend(title = "", order = 2)) +
theme(axis.text.x = element_text(angle = 90))
info <- expect_doppelganger_built(gg, "respect-guides")
expect_equivalent(sum(sapply(info$data, "[[", "showlegend")), 4)
})
p <- ggplot(mtcars, aes(x = mpg, y = wt, color = factor(vs))) +
geom_point()
# TODO: better support for scale_*_discrete()
#test_that("trace order respects scale_color_discrete()", {
# g <- p + scale_color_discrete(breaks = c(1, 0))
# info <- expect_traces(g, 2, "iris-default")
# nms <- unlist(lapply(info$data, "[[", "name"))
# expect_true(all(nms == c("factor(vs): 1", "factor(vs): 0")))
#})
#
#test_that("missing breaks translates to showlegend=FALSE", {
# g <- p + scale_color_discrete(breaks = 1)
# info <- expect_traces(two.legend.entries, 3, "iris-trace-showlegend-FALSE")
# expect_equivalent(sum(sapply(info, "[[", "showlegend")), 1)
#})
# test of legend position
test_that("very long legend items", {
long_items <- data.frame(
cat1 = sample(x = LETTERS[1:10],
size = 100, replace = TRUE),
cat2 = sample(x = c("AAAAAAAAAAAAAAAAAAAAAAAAAAAAA",
"BBBBBBBBBBBBBBBBBBBBBBBBBBBBB",
"CCCCCCCCCCCCCCCCCCCCCCCCCCCCC"),
size = 100, replace = TRUE)
)
p_long_items <- ggplot(long_items, aes(cat1, fill = cat2)) +
geom_bar(position = "dodge")
info <- expect_traces(p_long_items, 3, "very-long-legend-items")
})
penguins <- palmerpenguins::penguins
penguins$All <- "All species"
p <- qplot(data = penguins, x = bill_length_mm, y = bill_depth_mm, color = All)
test_that("legend is created with discrete mapping regardless of unique values", {
info <- expect_traces(p, 1, "one-entry")
expect_true(info$data[[1]]$showlegend)
expect_true(info$layout$showlegend)
expect_true(nzchar(info$layout$legend$title$text))
})
test_that("can hide legend", {
info <- expect_traces(hide_legend(p), 1, "hide-legend")
expect_false(info$layout$showlegend)
expect_null(info$layout$annotations %||% NULL)
})
# test of legend position
test_that("many legend items", {
p <- ggplot(midwest, aes(category, fill = category)) + geom_bar()
info <- expect_traces(p, length(unique(midwest$category)), "many legend items")
})
# Make sure we can support the bugfix made in tidyverse/ggplot2#5425
test_that("can handle varying aesthetics/scales", {
df <- data.frame(x = (1:3)/3, z = c("red", "blue", "green"))
p <- ggplot(df) +
aes(x, z, colour = z, fill = z, size = x) +
geom_point() +
scale_discrete_identity(aesthetics = c("colour", "fill")) +
scale_size_identity()
expect_traces(p, 1, "varying-aes-guide")
})
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