top annotation showing no hovertext

[ricoderks]

If I added a top annotation with col_side_colors the hovertext is not shown, except for the first column. This only happens when the plot_method is set to "plotly". When I use row_side_colors the hovertext is nicely shown for each cell.
It works for both when I set the plot_method to "ggplot", but then I don't have the colorbars for the annotation.

An example:

library(heatmaply)

set.seed(123)
m <- matrix(rnorm(100),
            nrow = 5)

col_ann <- data.frame(group1 = letters[1:20])
row_ann <- data.frame(group2 = LETTERS[1:5])

heatmaply(m,
          col_side_colors = col_ann,
          row_side_colors = row_ann,
          plot_method = "ggplot")

heatmaply(m,
          col_side_colors = col_ann,
          row_side_colors = row_ann,
          plot_method = "plotly")

I'am using version 1.5.0 of heatmaply.

cheers, Rico

[talgalili]

Hi,
I can't reproduce.
Could you please share a screenshot with the issue?
And also share
sessionInfo()
?

Thanks.

[ricoderks]

Hi,

I added two screenshots. In the first screenshot the mouse hovers over the first column of the top annotation and in the second screenshot the mouse hovers over the fourth column (unforntunately the mouse pointer is not recorded on the screenshot).
I used the same code as above.

[ricoderks]

Sorry, I just noticed that I forgot to share the session info!!

R version 4.4.1 (2024-06-14)
Platform: x86_64-pc-linux-gnu
Running under: Ubuntu 22.04.4 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.10.0 
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.10.0

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

time zone: Europe/Amsterdam
tzcode source: system (glibc)

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

other attached packages:
 [1] tidyr_1.3.1         dplyr_1.1.4         reshape2_1.4.4     
 [4] pcaMethods_1.96.0   Biobase_2.64.0      BiocGenerics_0.50.0
 [7] glmnet_4.1-8        Matrix_1.6-5        RColorBrewer_1.1-3 
[10] readxl_1.4.3        stringr_1.5.1       waiter_0.2.5       
[13] ellipse_0.5.0       ggupset_0.3.0       ggpubr_0.6.0       
[16] heatmaply_1.5.0     viridis_0.6.5       viridisLite_0.4.2  
[19] plotly_4.10.4       gridExtra_2.3       ggplot2_3.5.1      
[22] shinyvalidate_0.1.3 shinybrowser_1.0.0  shinyWidgets_0.8.6 
[25] bs4Dash_2.3.3       shinyjs_2.1.0       markdown_1.13      
[28] rmarkdown_2.27      shiny_1.8.1.1      

loaded via a namespace (and not attached):
 [1] rlang_1.1.4       magrittr_2.0.3    compiler_4.4.1    vctrs_0.6.5      
 [5] pkgconfig_2.0.3   shape_1.4.6.1     fastmap_1.2.0     backports_1.5.0  
 [9] labeling_0.4.3    fontawesome_0.5.2 ca_0.71.1         utf8_1.2.4       
[13] promises_1.3.0    purrr_1.0.2       xfun_0.45         cachem_1.1.0     
[17] jsonlite_1.8.8    later_1.3.2       broom_1.0.6       R6_2.5.1         
[21] bslib_0.7.0       stringi_1.8.4     car_3.1-2         jquerylib_0.1.4  
[25] cellranger_1.1.0  Rcpp_1.0.12       assertthat_0.2.1  iterators_1.0.14 
[29] knitr_1.47        httpuv_1.6.15     splines_4.4.1     igraph_2.0.3     
[33] tidyselect_1.2.1  yaml_2.3.8        rstudioapi_0.16.0 abind_1.4-5      
[37] TSP_1.2-4         fresh_0.2.0       codetools_0.2-19  plyr_1.8.9       
[41] lattice_0.22-5    tibble_3.2.1      withr_3.0.0       evaluate_0.24.0  
[45] survival_3.7-0    pillar_1.9.0      carData_3.0-5     DT_0.33          
[49] foreach_1.5.2     generics_0.1.3    commonmark_1.9.1  munsell_0.5.1    
[53] scales_1.3.0      xtable_1.8-4      glue_1.7.0        lazyeval_0.2.2   
[57] tools_4.4.1       dendextend_1.17.1 data.table_1.15.4 webshot_0.5.5    
[61] ggsignif_0.6.4    registry_0.5-1    visNetwork_2.1.2  grid_4.4.1       
[65] crosstalk_1.2.1   seriation_1.5.5   colorspace_2.1-0  networkD3_0.4    
[69] cli_3.6.2         fansi_1.0.6       gtable_0.3.5      rstatix_0.7.2    
[73] sass_0.4.9        digest_0.6.35     farver_2.1.2      htmlwidgets_1.6.4
[77] memoise_2.0.1     htmltools_0.5.8.1 lifecycle_1.0.4   httr_1.4.7       
[81] mime_0.12      

[alanocallaghan]

I'm sure I've seen this before with both ggplotly and plotly methods, but I can't find the old issue. You can probably get around it by hiding the top dendrogram, though I appreciate that's not ideal