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ggplotly() is unable to merge legend entries across layers #2010
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Now that #2067 has been merged, you can at least workaround this issue by doing
p <- p + guide(color = "none").I will leave this open though since
ggplotly()still isn't smart enough to merge legend entries across layers in the same way that ggplot2 doesReacted by Carl Boettiger- changed the title
[-]Bug in legend generation in some facet_wrap cases[/-][+]ggplotly() is unable to merge legend entries across layers[/+]on Nov 2, 2021 Just asking, does the inability of
ggplotly()to merge legend entries across layers mean that issue #2043 is not solved (despite being closed)? I am having a similar problem as in that issue, with legend entries forcolorandlinetypebeing put together inggplotly()(and expanding the items therein), while it looking ok inggplot2.plotlyversion is 4.10.0.Reacted by mmorineI have been following the comments and as far as I understand ggplotly() is still unable to separate the labels as ggplot does, so to me this has not been solved yet. At least, I didn't find any solution. Please let me know if there is an example somewhere. Thanks
I have another simpler example where it doesn't generate the desired appearance. Is it technically fixable or not?
library(plotly) # version 4.10.4 mtcars$am <- factor(mtcars$am) mtcars$vs <- factor(mtcars$vs) p <- ggplot(mtcars, aes(x = wt, y = drat, colour = vs, alpha = am)) + geom_point() + scale_alpha_manual(values = c(0.5, 1.0), breaks = c(0, 1)) p # Two legends p + guides(alpha = "none") # One legend. Alpha is 1. ggplotly() # One legend. Alpha is 0.5 but should be 1.
Thanks for an amazing package! The mapping between plotly and ggplot is particularly impressive and very powerful!
However, ggplotly fails to reproduce the appropriate legends generated by ggplot in non-trivial facet_wrap cases. After discussion on stackoverflow some of this behavior appears to be a bug.
Consider the following minimal reprex:
Note that (a) we get too many plotly legend entries, duplicating the legend for each facet, due to
legendgroupnot being correctly handled. Also note (b) the legends we do and don't get depend on the order (do we dogeom_ribbonfirst orgeom_linefirst). The bug does not appear if we have only one geom, and the missing legends continue as we add more geoms.Perhaps not related -- but the interactive zoom options in faceted plots are not entirely intuitive either, i.e. it's not possible to zoom the whole window on a single facet plot. (Perhaps the take home is that it might be better to render facet plots as more independent objects in plotly)?