plotly / plotly/plotly.R

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

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Descrição

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)
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#>  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 -------------------------------------------------------------------
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#>  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)
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#>  reprex        2.0.1   2021-08-05 [1] CRAN (R 4.1.1)
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#>  sessioninfo   1.2.1   2021-11-02 [1] CRAN (R 4.1.1)
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#> 
#>  [1] C:/R Packages
#>  [2] C:/Program Files/R/R-4.1.1/library
#> 
#> ------------------------------------------------------------------------------

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Abrir o guia de contribuição

Primeiros passos

  1. Leia a issue inteira e depois o guia de contribuição do projeto.
  2. Comente na issue dizendo que vai assumir — evita que duas pessoas façam o mesmo trabalho.
  3. Faça um fork do repositório e trabalhe em uma branch.
  4. Abra um pull request que referencie o número da issue.

Direção de pesquisa

Comece executando o reprex fornecido com ggplotly, comparando o caso funcional position = "identity" com geom_line(position = "stack") e geom_area ao longo dos frames. Rastreie o caminho de conversão do ggplotly para dados animados agrupados e adicione cobertura de regressão mostrando que ambos os casos de stacking não produzem mais o erro relatado.

Escrita pelo modelo de indexação a partir do texto da issue.

Avaliação

Stack de tecnologia
r
Domínio
data-visualization
Tipo de issue
Bug
Dificuldade
4/5
Tempo estimado
3-5 dias
Status de atividade
Estagnada
Clareza
Razoavelmente clara
Facilidade para iniciantes
42/100

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