highlight_key selects wrong category with boxplots and violin figures.

the problem

When a highlight_key(~group) is added to a boxplot figure or violin figure, with the highlight group equal to the categorical x-value of the boxplot/violin figure, the wrong category gets highlighted in the figure when clicking on a box or violin.

However, the correct category gets shown when I click on an outlier point.

Minimal example:

library(plotly)
data <- mtcars 
data$cyl <- as.character(data$cyl) #make cyl categorical

data %>%
	highlight_key(~cyl) %>%
	plot_ly(
		x = ~cyl, y = ~mpg,
		type = "box"
		)

Screenshot example below, where I had clicked the box with category cyl=8, but cyl=4 highlighted up:

But if click on the one outlier below the box of cyl=8, the highlight is correct.

expected behaviour

When I click on the box part, the correct category gets highlighted.

System info:

> sessionInfo()
R version 3.6.3 (2020-02-29)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 20.04.2 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.9.0
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.9.0

locale:
 [1] LC_CTYPE=en_US.UTF-8          LC_NUMERIC=C                 
 [3] LC_TIME=de_BE.UTF-8           LC_COLLATE=en_US.UTF-8       
 [5] LC_MONETARY=de_BE.UTF-8       LC_MESSAGES=en_US.UTF-8      
 [7] LC_PAPER=de_BE.UTF-8          LC_NAME=de_BE.UTF-8          
 [9] LC_ADDRESS=de_BE.UTF-8        LC_TELEPHONE=de_BE.UTF-8     
[11] LC_MEASUREMENT=de_BE.UTF-8    LC_IDENTIFICATION=de_BE.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] plotly_4.9.4.1 ggplot2_3.3.3  rj_4.0.1-2    

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.6        later_1.2.0       pillar_1.6.0      compiler_3.6.3   
 [5] tools_3.6.3       digest_0.6.27     rj.gd_4.0.1-0     jsonlite_1.7.2   
 [9] lifecycle_1.0.0   tibble_3.1.1      gtable_0.3.0      viridisLite_0.4.0
[13] pkgconfig_2.0.3   rlang_0.4.11      shiny_1.6.0       DBI_1.1.1        
[17] crosstalk_1.1.1   yaml_2.2.1        fastmap_1.1.0     withr_2.4.2      
[21] dplyr_1.0.6       httr_1.4.2        generics_0.1.0    vctrs_0.3.8      
[25] htmlwidgets_1.5.3 grid_3.6.3        tidyselect_1.1.1  glue_1.4.2       
[29] data.table_1.14.0 R6_2.5.0          fansi_0.4.2       purrr_0.3.4      
[33] tidyr_1.1.3       magrittr_2.0.1    promises_1.2.0.1  scales_1.1.1     
[37] ellipsis_0.3.2    htmltools_0.5.1.1 assertthat_0.2.1  xtable_1.8-4     
[41] mime_0.10         colorspace_2.0-1  httpuv_1.6.0      utf8_1.2.1       
[45] lazyeval_0.2.2    munsell_0.5.0     crayon_1.4.1     

The same behaviour was also reproduced on a windows machine running R 4.0.3

Commencez par l’exemple minimal highlight_key(~cyl) et plot_ly(type = "box") de l’issue, puis suivez le chemin d’interaction de highlight_key pour les figures de boxplot et de violin. Le travail est terminé lorsqu’un clic sur un boxplot ou un violin met en évidence sa valeur x catégorielle, comme le comportement existant pour les points aberrants ; ajoutez une vérification de régression si l’emplacement de test pertinent est trouvé.