{ggplot2} v3.5.1.9000 fails when used with ggplotly() from {plotly}. #6209
Description
When using the developer version of {ggplot2} (v3.5.1.9000), ggplotly() from {plotly} fails with the following error message, Error in pm[[2]]: subscript out of bounds and is reported in the below reprex.
This does not fail in the CRAN version of {ggplot2}, v3.5.1 hence why I made the issue here, however, if this is not the right place and it needs to be moved to {plotly}'s repo let me know. I have not provided a reprex for v3.5.1 considering {reprex} does not render
v3.5.1.9000
# load packages
suppressPackageStartupMessages(
{
library(ggplot2)
library(plotly)
}
)
# print session info
sessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#> setting value
#> version R version 4.4.2 (2024-10-31)
#> os macOS Sequoia 15.1.1
#> system aarch64, darwin20
#> ui X11
#> language (EN)
#> collate en_US.UTF-8
#> ctype en_US.UTF-8
#> tz America/Toronto
#> date 2024-11-28
#> pandoc 3.2 @ /Applications/RStudio.app/Contents/Resources/app/quarto/bin/tools/aarch64/ (via rmarkdown)
#>
#> ─ Packages ───────────────────────────────────────────────────────────────────
#> package * version date (UTC) lib source
#> cli 3.6.3 2024-06-21 [1] CRAN (R 4.4.0)
#> colorspace 2.1-1 2024-07-26 [1] CRAN (R 4.4.0)
#> data.table 1.16.2 2024-10-10 [1] CRAN (R 4.4.1)
#> digest 0.6.37 2024-08-19 [1] CRAN (R 4.4.1)
#> dplyr 1.1.4 2023-11-17 [1] CRAN (R 4.4.0)
#> evaluate 1.0.0 2024-09-17 [1] CRAN (R 4.4.1)
#> fansi 1.0.6 2023-12-08 [1] CRAN (R 4.4.0)
#> fastmap 1.2.0 2024-05-15 [1] CRAN (R 4.4.0)
#> fs 1.6.4 2024-04-25 [1] CRAN (R 4.4.0)
#> generics 0.1.3 2022-07-05 [1] CRAN (R 4.4.0)
#> ggplot2 * 3.5.1.9000 2024-11-01 [1] Github (tidyverse/ggplot2@cc329df)
#> glue 1.8.0 2024-09-30 [1] CRAN (R 4.4.1)
#> gtable 0.3.6 2024-10-25 [1] CRAN (R 4.4.1)
#> htmltools 0.5.8.1 2024-04-04 [1] CRAN (R 4.4.0)
#> htmlwidgets 1.6.4 2023-12-06 [1] CRAN (R 4.4.0)
#> httr 1.4.7 2023-08-15 [1] CRAN (R 4.4.0)
#> jsonlite 1.8.9 2024-09-20 [1] CRAN (R 4.4.1)
#> knitr 1.48 2024-07-07 [1] CRAN (R 4.4.0)
#> lazyeval 0.2.2 2019-03-15 [1] CRAN (R 4.4.0)
#> lifecycle 1.0.4 2023-11-07 [1] CRAN (R 4.4.0)
#> magrittr 2.0.3 2022-03-30 [1] CRAN (R 4.4.0)
#> munsell 0.5.1 2024-04-01 [1] CRAN (R 4.4.0)
#> pillar 1.9.0 2023-03-22 [1] CRAN (R 4.4.0)
#> pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.4.0)
#> plotly * 4.10.4 2024-01-13 [1] CRAN (R 4.4.0)
#> purrr 1.0.2 2023-08-10 [1] CRAN (R 4.4.0)
#> R6 2.5.1 2021-08-19 [1] CRAN (R 4.4.0)
#> reprex 2.1.1 2024-07-06 [1] CRAN (R 4.4.0)
#> rlang 1.1.4 2024-06-04 [1] CRAN (R 4.4.0)
#> rmarkdown 2.28 2024-08-17 [1] CRAN (R 4.4.0)
#> rstudioapi 0.16.0 2024-03-24 [1] CRAN (R 4.4.0)
#> scales 1.3.0 2023-11-28 [1] CRAN (R 4.4.0)
#> sessioninfo 1.2.2 2021-12-06 [1] CRAN (R 4.4.0)
#> tibble 3.2.1 2023-03-20 [1] CRAN (R 4.4.0)
#> tidyr 1.3.1 2024-01-24 [1] CRAN (R 4.4.0)
#> tidyselect 1.2.1 2024-03-11 [1] CRAN (R 4.4.0)
#> utf8 1.2.4 2023-10-22 [1] CRAN (R 4.4.0)
#> vctrs 0.6.5 2023-12-01 [1] CRAN (R 4.4.0)
#> viridisLite 0.4.2 2023-05-02 [1] CRAN (R 4.4.0)
#> withr 3.0.2 2024-10-28 [1] CRAN (R 4.4.1)
#> xfun 0.47 2024-08-17 [1] CRAN (R 4.4.0)
#> yaml 2.3.10 2024-07-26 [1] CRAN (R 4.4.0)
#>
#> [1] /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/library
#>
#> ──────────────────────────────────────────────────────────────────────────────
# use diamonds dataset and create ggplot
p <- ggplot(data = diamonds,
aes(x = carat,
y = price,
colour = cut)) +
geom_point()
# convert ggplot to plotly object
ggplotly(p)
#> Error in pm[[2]]: subscript out of boundsv3.5.1
# load packages
suppressPackageStartupMessages(
{
library(ggplot2)
library(plotly)
}
)
# print session info
sessioninfo::session_info()
## ─ Session info ───────────────────────────────────────────────────────────────
## setting value
## version R version 4.4.2 (2024-10-31)
## os macOS Sequoia 15.1.1
## system aarch64, darwin20
## ui X11
## language (EN)
## collate en_US.UTF-8
## ctype en_US.UTF-8
## tz America/Toronto
## date 2024-11-28
## pandoc 3.2 @ /Applications/RStudio.app/Contents/Resources/app/quarto/bin/tools/aarch64/ (via rmarkdown)
##
## ─ Packages ───────────────────────────────────────────────────────────────────
## package * version date (UTC) lib source
## bslib 0.8.0 2024-07-29 [1] CRAN (R 4.4.0)
## cachem 1.1.0 2024-05-16 [1] CRAN (R 4.4.0)
## cli 3.6.3 2024-06-21 [1] CRAN (R 4.4.0)
## colorspace 2.1-1 2024-07-26 [1] CRAN (R 4.4.0)
## data.table 1.16.2 2024-10-10 [1] CRAN (R 4.4.1)
## digest 0.6.37 2024-08-19 [1] CRAN (R 4.4.1)
## dplyr 1.1.4 2023-11-17 [1] CRAN (R 4.4.0)
## evaluate 1.0.0 2024-09-17 [1] CRAN (R 4.4.1)
## fansi 1.0.6 2023-12-08 [1] CRAN (R 4.4.0)
## fastmap 1.2.0 2024-05-15 [1] CRAN (R 4.4.0)
## generics 0.1.3 2022-07-05 [1] CRAN (R 4.4.0)
## ggplot2 * 3.5.1 2024-04-23 [1] CRAN (R 4.4.0)
## glue 1.8.0 2024-09-30 [1] CRAN (R 4.4.1)
## gtable 0.3.6 2024-10-25 [1] CRAN (R 4.4.1)
## htmltools 0.5.8.1 2024-04-04 [1] CRAN (R 4.4.0)
## htmlwidgets 1.6.4 2023-12-06 [1] CRAN (R 4.4.0)
## httr 1.4.7 2023-08-15 [1] CRAN (R 4.4.0)
## jquerylib 0.1.4 2021-04-26 [1] CRAN (R 4.4.0)
## jsonlite 1.8.9 2024-09-20 [1] CRAN (R 4.4.1)
## knitr 1.48 2024-07-07 [1] CRAN (R 4.4.0)
## lazyeval 0.2.2 2019-03-15 [1] CRAN (R 4.4.0)
## lifecycle 1.0.4 2023-11-07 [1] CRAN (R 4.4.0)
## magrittr 2.0.3 2022-03-30 [1] CRAN (R 4.4.0)
## munsell 0.5.1 2024-04-01 [1] CRAN (R 4.4.0)
## pillar 1.9.0 2023-03-22 [1] CRAN (R 4.4.0)
## pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.4.0)
## plotly * 4.10.4 2024-01-13 [1] CRAN (R 4.4.0)
## purrr 1.0.2 2023-08-10 [1] CRAN (R 4.4.0)
## R6 2.5.1 2021-08-19 [1] CRAN (R 4.4.0)
## rlang 1.1.4 2024-06-04 [1] CRAN (R 4.4.0)
## rmarkdown 2.28 2024-08-17 [1] CRAN (R 4.4.0)
## rstudioapi 0.16.0 2024-03-24 [1] CRAN (R 4.4.0)
## sass 0.4.9 2024-03-15 [1] CRAN (R 4.4.0)
## scales 1.3.0 2023-11-28 [1] CRAN (R 4.4.0)
## sessioninfo 1.2.2 2021-12-06 [1] CRAN (R 4.4.0)
## tibble 3.2.1 2023-03-20 [1] CRAN (R 4.4.0)
## tidyr 1.3.1 2024-01-24 [1] CRAN (R 4.4.0)
## tidyselect 1.2.1 2024-03-11 [1] CRAN (R 4.4.0)
## utf8 1.2.4 2023-10-22 [1] CRAN (R 4.4.0)
## vctrs 0.6.5 2023-12-01 [1] CRAN (R 4.4.0)
## viridisLite 0.4.2 2023-05-02 [1] CRAN (R 4.4.0)
## withr 3.0.2 2024-10-28 [1] CRAN (R 4.4.1)
## xfun 0.47 2024-08-17 [1] CRAN (R 4.4.0)
## yaml 2.3.10 2024-07-26 [1] CRAN (R 4.4.0)
##
## [1] /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/library
##
## ──────────────────────────────────────────────────────────────────────────────
# use diamonds dataset and create ggplot
p <- ggplot(data = diamonds,
aes(x = carat,
y = price,
colour = cut)) +
geom_point()
# convert ggplot to plotly object
ggplotly(p)