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2 changes: 1 addition & 1 deletion NEWS.md
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@
* Closed #2218: `highlight(selectize = TRUE)` no longer yields an incorrect selectize.js result when there is a combination of crosstalk and non-crosstalk traces. (#2217)
* Closed #2208: `ggplotly()` no longer errors given a `geom_area()` with 1 or less data points (error introduced by new behavior in ggplot2 v3.4.0). (#2209)
* Closed #2220: `ggplotly()` no longer errors on `stat_summary(geom = "crossbar")`. (#2222)

* Closed #2212: `ggplotly()` no longer removes legends when setting guide properties via `guides(aes = guide_xxx(...))`.

# 4.10.1

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4 changes: 3 additions & 1 deletion R/layers2traces.R
Original file line number Diff line number Diff line change
Expand Up @@ -102,7 +102,9 @@ layers2traces <- function(data, prestats_data, layout, p) {
}
# now to the actual layer -> trace conversion
trace.list <- list()
aes_no_guide <- names(vapply(p$guides, identical, logical(1), "none"))

aes_no_guide <- names(p$guides)[vapply(p$guides, identical, logical(1), "none")]

for (i in seq_along(datz)) {
d <- datz[[i]]
# variables that produce multiple traces and deserve their own legend entries
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35 changes: 34 additions & 1 deletion tests/testthat/test-ggplot-legend.R
Original file line number Diff line number Diff line change
Expand Up @@ -58,6 +58,40 @@ test_that("aesthetics can be discarded from legend with guide(aes = '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()
Expand Down Expand Up @@ -114,4 +148,3 @@ 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")
})