change guide_legend order in ggplotly [duplicate] - r

Question

I would like to reverse the order of the legend for a horizontal bar chart. When adding guides(fill = guide_legend(reverse = TRUE)) to the ggplot it works fine (see second plot). However, after applying ggplotly() the legend is again in the default order.
How to reverse the order of the plotly legend without changing the order of the bars?
library(ggplot2)
library(dplyr)
data(mtcars)
p1 <- mtcars %>%
count(cyl, am) %>%
mutate(cyl = factor(cyl), am = factor(am)) %>%
ggplot(aes(cyl, n, fill = am)) +
geom_col(position = "dodge") +
coord_flip()
p1
p2 <- p1 + guides(fill = guide_legend(reverse = TRUE))
p2
plotly::ggplotly(p2)

Answer 1

Adding to the great answer of #Zac Garland here is a solution that works with legends of arbitrary length:
library(ggplot2)
library(dplyr)
reverse_legend_labels <- function(plotly_plot) {
n_labels <- length(plotly_plot$x$data)
plotly_plot$x$data[1:n_labels] <- plotly_plot$x$data[n_labels:1]
plotly_plot
}
p1 <- mtcars %>%
count(cyl, am) %>%
mutate(cyl = factor(cyl), am = factor(am)) %>%
ggplot(aes(cyl, n, fill = am)) +
geom_col(position = "dodge") +
coord_flip()
p2 <- mtcars %>%
count(am, cyl) %>%
mutate(cyl = factor(cyl), am = factor(am)) %>%
ggplot(aes(am, n, fill = cyl)) +
geom_col(position = "dodge") +
coord_flip()
p1 %>%
plotly::ggplotly() %>%
reverse_legend_labels()
p2 %>%
plotly::ggplotly() %>%
reverse_legend_labels()

Answer 2

When you call ggplotly, it's really just creating a list and a function call on that list.
So if you save that intermediate step, you can modify the list directly. and as such, modify the plot output.
library(ggplot2)
library(dplyr)
data(mtcars)
p1 <- mtcars %>%
count(cyl, am) %>%
mutate(cyl = factor(cyl), am = factor(am)) %>%
ggplot(aes(cyl, n, fill = am)) +
geom_col(position = "dodge") +
coord_flip()
html_plot <- ggplotly(p1)
replace_1 <- html_plot[["x"]][["data"]][[2]]
replace_2 <- html_plot[["x"]][["data"]][[1]]
html_plot[["x"]][["data"]][[1]] <- replace_1
html_plot[["x"]][["data"]][[2]] <- replace_2
html_plot
plot output

Answer 3

A simple solution is to define the order of the levels of the factor variable am:
library(ggplot2)
library(dplyr)
data(mtcars)
df <- mtcars %>%
count(cyl, am) %>%
mutate(cyl = factor(cyl), am = factor(as.character(am), levels = c("1", "0")))
head(df)
p1 <- df %>%
ggplot(aes(cyl, n, fill = am)) +
geom_col(position = "dodge") +
coord_flip()
p1
plotly::ggplotly(p1)