plotly.R Make ggplotly respect override.aes in guide

A short example:

library(ggplot2)
p <- ggplot(economics_long, aes(date, value01, colour = variable)) +
  geom_line(size = .5) + 
  guides(colour = guide_legend(override.aes = list(size = 2)))
p

Notice the thicker lines in the legend on the right

However, this new element is ignored in ggplotly:

ggplotly(p)

This becomes even more critical when using a very low level of alpha, and then needing to adjust it for the legend.

Thanks.

May 05 '17 22:05 talgalili

Similarly, if a legend is modified with scale_colour_manual, plotly discards most of the modifications and plots more or less the original one.

library(plotly)
dataTable <- data.frame(index = 1:10, group = rep(c("low", "undetermined", "high"), c(4, 2, 4)),
                        value = c(7.6, 8.8, 9.0, 9.4, 5.6, 8.3, 3.3, 4.5, 5.2, 3.0))
aPlot <- ggplot(dataTable, aes(x = index, y = value)) + geom_point(aes(colour = group))
legendStyle <- scale_colour_manual(name = "Group", breaks = c("low", "high"),
               values = setNames(c("blue", "black", "red"), c("low", "undetermined", "high")),
	       labels = c("Low (n = 4)", "High (n = 4)"))
aPlot <- aPlot + legendStyle
aPlot # As desired.
ggplotly(aPlot) # Loss of legend modifications.

It uses the updated name, however.

Aug 10 '17 01:08 DarioS

Sharing this need too. Such a shame that plotly does not allow overrinding aes for legend. It would be useful, especially when you want to modify the aspect (line type, opacity) of one of the markers but not the other of the same legendgroup. I did not manage to do it, even when modifying manually the plotly object and I do not think it is possible with plotly at all... But I really hope it will be one day ! Many thanks.