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Ggplotly warning message: Can only have one: highlight

I have been creating a scatterplot matrix with hexagon bins using ggplotly for several months. Recently, I noticed a new warning message (which I do not believe was there a few months ago) when running ggplotly() on a ggmatrix object from ggpairs. I receive a warning message “Can only have one: highlight”. I believe this message may be the root cause of issues happening downstream in one of my programs.

Does anyone have any ideas or advice on what may be causing these warning messages and how to solve them? Would I need to revert to a different/older version of plotly possibly? Below is a MWE (last line causes the warning).

  bindata <- data.frame(ID = paste0("ID",1:100), A=rnorm(100), B=rnorm(100), C=rnorm(100), D=rnorm(100))
  bindata$ID <- as.character(bindata$ID)

  maxVal = max(abs(bindata[,-1]))
  maxRange = c(-1*maxVal, maxVal)

  my_fn <- function(data, mapping, ...){
    x = data[,c(as.character(mapping$x))]
    y = data[,c(as.character(mapping$y))]
    h <- hexbin(x=x, y=y, xbins=5, shape=1, IDs=TRUE, xbnds=maxRange, ybnds=maxRange)
    hexdf <- data.frame (hcell2xy (h),  hexID = h@cell, counts = h@count)
    attr(hexdf, "cID") <- h@cID
    p <- ggplot(hexdf, aes(x=x, y=y, fill = counts, hexID=hexID)) + geom_hex(stat="identity") + geom_abline(intercept = 0, color = "red", size = 0.25)

  p <- ggpairs(bindata[,-1], lower = list(continuous = my_fn))
  pS <- p
  for(i in 2:p$nrow) {
    for(j in 1:(i-1)) {
      pS[i,j] <- p[i,j] +
        coord_cartesian(xlim = c(maxRange[1], maxRange[2]), ylim = c(maxRange[1], maxRange[2]))

  ggPS <- ggplotly(pS)

And below is my sessionInfo()

> sessionInfo()
R version 3.3.2 (2016-10-31)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: OS X Mavericks 10.9.5

[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

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

other attached packages:
[1] tidyr_0.6.1        hexbin_1.27.1      GGally_1.3.0       data.table_1.10.4  plotly_4.5.6.9000 
[6] ggplot2_2.2.1.9000 shiny_1.0.1        htmlwidgets_0.8   

loaded via a namespace (and not attached):
 [1] Rcpp_0.12.10       magrittr_1.5       munsell_0.4.3      lattice_0.20-35    viridisLite_0.2.0 
 [6] colorspace_1.3-2   xtable_1.8-2       R6_2.2.0           httr_1.2.1         plyr_1.8.4        
[11] dplyr_0.5.0        tools_3.3.2        grid_3.3.2         gtable_0.2.0       DBI_0.6-1         
[16] crosstalk_1.0.1    htmltools_0.3.5    yaml_2.1.14        lazyeval_0.2.0     digest_0.6.12     
[21] assertthat_0.1     tibble_1.3.0       RColorBrewer_1.1-2 purrr_0.2.2        base64enc_0.1-3   
[26] mime_0.5           labeling_0.3       scales_0.4.1.9000  reshape_0.8.6      jsonlite_1.4      
[31] httpuv_1.3.3

Hi @Green44, interesting example. I think the warning is safe to ignore. Could you explain what you’re “downstream issues” are?