plotly / plotly/plotly.R

`ggplotly` produces error when using `geom_area` or `geom_line(position = "stack")` across frames

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Description

When using ggplotly to convert from a ggplot object, R produces an error when:

  • using geom_area() (default position = "stack") or geom_line(position = "stack")
  • splitting lines/areas by multiple groups (for stacking)
  • animating across frames

These both produce the error "Error in -data$group: invalid argument to unary operator". Reprex below.

library(ggplot2)
library(dplyr)
library(plotly)


# Working plot with `position = "identity"`
plt1 <- {
  tibble(
    a = rep(rep(1:5, each = 2), 2),
    b = sample(1:10, 20, replace = TRUE),
    group = rep(c("a", "b"), 10),
    frame = rep(1:2, each = 10)
  ) %>%
    ggplot(aes(a, b, colour = group, frame = frame)) +
    geom_line()
} %>%
  ggplotly

# Two plots not working, both `position = "stack"`
plt2 <- {
  tibble(
    a = rep(rep(1:5, each = 2), 2),
    b = sample(1:10, 20, replace = TRUE),
    group = rep(c("a", "b"), 10),
    frame = rep(1:2, each = 10)
  ) %>%
    ggplot(aes(a, b, colour = group, frame = frame)) +
    geom_line(position = "stack")
} %>%
  ggplotly
#> Error in -data$group: invalid argument to unary operator


plt3 <- {
  tibble(
    a = rep(rep(1:5, each = 2), 2),
    b = sample(1:10, 20, replace = TRUE),
    group = rep(c("a", "b"), 10),
    frame = rep(1:2, each = 10)
  ) %>%
    ggplot(aes(a, b, fill = group, frame = frame)) +
    geom_area()
} %>%
  ggplotly
#> Error in -data$group: invalid argument to unary operator

Created on 2021-12-21 by the reprex package (v2.0.1)

Session info 
sessioninfo::session_info()
#> - Session info  --------------------------------------------------------------
#>  hash: oncoming police car, eye in speech bubble, toilet
#> 
#>  setting  value
#>  version  R version 4.1.1 (2021-08-10)
#>  os       Windows 10 x64 (build 19041)
#>  system   x86_64, mingw32
#>  ui       RTerm
#>  language (EN)
#>  collate  English_United Kingdom.1252
#>  ctype    English_United Kingdom.1252
#>  tz       Europe/London
#>  date     2021-12-21
#>  pandoc   2.14.0.3 @ C:/Program Files/RStudio/bin/pandoc/ (via rmarkdown)
#> 
#> - Packages -------------------------------------------------------------------
#>  package     * version date (UTC) lib source
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#>  backports     1.3.0   2021-10-27 [1] CRAN (R 4.1.1)
#>  cli           3.1.0   2021-10-27 [1] CRAN (R 4.1.1)
#>  colorspace    2.0-2   2021-06-24 [1] CRAN (R 4.1.1)
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#>  data.table    1.14.2  2021-09-27 [1] CRAN (R 4.1.1)
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#>  digest        0.6.28  2021-09-23 [1] CRAN (R 4.1.1)
#>  dplyr       * 1.0.7   2021-06-18 [1] CRAN (R 4.1.1)
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#>  fansi         0.5.0   2021-05-25 [1] CRAN (R 4.1.0)
#>  farver        2.1.0   2021-02-28 [1] CRAN (R 4.1.0)
#>  fastmap       1.1.0   2021-01-25 [1] CRAN (R 4.1.0)
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#>  generics      0.1.1   2021-10-25 [1] CRAN (R 4.1.1)
#>  ggplot2     * 3.3.5   2021-06-25 [1] CRAN (R 4.1.1)
#>  glue          1.4.2   2020-08-27 [1] CRAN (R 4.1.0)
#>  gtable        0.3.0   2019-03-25 [1] CRAN (R 4.1.0)
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#>  htmltools     0.5.2   2021-08-25 [1] CRAN (R 4.1.1)
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#>  jsonlite      1.7.2   2020-12-09 [1] CRAN (R 4.1.0)
#>  knitr         1.36    2021-09-29 [1] CRAN (R 4.1.1)
#>  labeling      0.4.2   2020-10-20 [1] CRAN (R 4.1.0)
#>  lazyeval      0.2.2   2019-03-15 [1] CRAN (R 4.1.0)
#>  lifecycle     1.0.1   2021-09-24 [1] CRAN (R 4.1.1)
#>  magrittr      2.0.1   2020-11-17 [1] CRAN (R 4.0.3)
#>  munsell       0.5.0   2018-06-12 [1] CRAN (R 4.1.0)
#>  pillar        1.6.4   2021-10-18 [1] CRAN (R 4.1.1)
#>  pkgconfig     2.0.3   2019-09-22 [1] CRAN (R 4.1.0)
#>  plotly      * 4.10.0  2021-10-09 [1] CRAN (R 4.1.1)
#>  purrr         0.3.4   2020-04-17 [1] CRAN (R 4.1.0)
#>  R.cache       0.15.0  2021-04-30 [1] CRAN (R 4.1.0)
#>  R.methodsS3   1.8.1   2020-08-26 [1] CRAN (R 4.1.0)
#>  R.oo          1.24.0  2020-08-26 [1] CRAN (R 4.1.0)
#>  R.utils       2.11.0  2021-09-26 [1] CRAN (R 4.1.1)
#>  R6            2.5.1   2021-08-19 [1] CRAN (R 4.1.1)
#>  reprex        2.0.1   2021-08-05 [1] CRAN (R 4.1.1)
#>  rlang         0.4.12  2021-10-18 [1] CRAN (R 4.1.1)
#>  rmarkdown     2.11    2021-09-14 [1] CRAN (R 4.1.1)
#>  rstudioapi    0.13    2020-11-12 [1] CRAN (R 4.1.0)
#>  scales        1.1.1   2020-05-11 [1] CRAN (R 4.1.0)
#>  sessioninfo   1.2.1   2021-11-02 [1] CRAN (R 4.1.1)
#>  stringi       1.7.5   2021-10-04 [1] CRAN (R 4.1.1)
#>  stringr       1.4.0   2019-02-10 [1] CRAN (R 4.1.0)
#>  styler        1.6.2   2021-09-23 [1] CRAN (R 4.1.1)
#>  tibble        3.1.5   2021-09-30 [1] CRAN (R 4.1.1)
#>  tidyr         1.1.4   2021-09-27 [1] CRAN (R 4.1.1)
#>  tidyselect    1.1.1   2021-04-30 [1] CRAN (R 4.1.0)
#>  utf8          1.2.2   2021-07-24 [1] CRAN (R 4.1.1)
#>  vctrs         0.3.8   2021-04-29 [1] CRAN (R 4.1.0)
#>  viridisLite   0.4.0   2021-04-13 [1] CRAN (R 4.1.0)
#>  withr         2.4.3   2021-11-30 [1] CRAN (R 4.1.2)
#>  xfun          0.28    2021-11-04 [1] CRAN (R 4.1.1)
#>  yaml          2.2.1   2020-02-01 [1] CRAN (R 4.1.0)
#> 
#>  [1] C:/R Packages
#>  [2] C:/Program Files/R/R-4.1.1/library
#> 
#> ------------------------------------------------------------------------------

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by running the supplied reprex with ggplotly, comparing the working position = "identity" case with geom_line(position = "stack") and geom_area across frames. Trace the ggplotly conversion path for grouped animated data and add regression coverage showing that both stacking cases no longer produce the reported error.

Written by the indexing model from the issue text.

Assessment

Tech stack
r
Domain
data-visualization
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
42/100

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