legendrank scrambled by fillcolor with type='scatter'
Ninguém assumiu esta issue ainda.
- Linguagem predominante
- R
- Estrelas
- 2.7k
- Forks
- 641
- Métricas de merge de PRs
- Nenhum PR com merge em 30d
Descrição
Expected behavior
When making a stacked area chart, the ordering of the legend values follows the ordering of the legendrank argument.
Actual behavior
When making a stacked area chart, the ordering of the legend values depends on the legendrank argument in combination with the alphabetical ordering of the fillcolor argument. Somehow the fillcolors seem to be scrambling the order.
Here's an example:
# The goal is to make a stacked area chart, where each fill color is a severity
# level. Then, the legend should be ordered by severity
library(plotly)
severities = c('Mild', 'Moderate', 'Severe')
severity_colors = c('#FF0000', '#440000', '#AA0000')
# ^ colors chosen specifically to be out of alphabetical order
severity_color_dict = setNames(severity_colors, severities)
timeline = data.frame(Time = rep(1:15, 3),
coverage = rep(1, 45),
Severity = factor(rep(severities, each = 15)))
timeline$fill = severity_color_dict[timeline$Severity]
# default order
plot_ly(timeline, x = ~Time, y = ~coverage, name = ~Severity, type = 'scatter',
mode = 'none', stackgroup = 'one', groupnorm = '')
# add fillcolor-- now the legend is in alphabetical order of fillcolor
plot_ly(timeline, x = ~Time, y = ~coverage, name = ~Severity, type = 'scatter',
mode = 'none', stackgroup = 'one', groupnorm = '', fillcolor = ~fill)
# this should be ordered by Severity, but it's still in alphabetical order of
# fillcolor
plot_ly(timeline, x = ~Time, y = ~coverage, name = ~Severity, type = 'scatter',
mode = 'none', stackgroup = 'one', groupnorm = '', fillcolor = ~fill,
legendrank = ~as.integer(Severity))
# The intended order can only be acheived by using the alphabetical ordering of
# the fill colors to "unscramble" the legendrank
unscramble_dict = order(severity_colors)
plot_ly(timeline, x = ~Time, y = ~coverage, name = ~Severity, type = 'scatter',
mode = 'none', stackgroup = 'one', groupnorm = '', fillcolor = ~fill,
legendrank = ~unscramble_dict[as.integer(Severity)])
Session info
R version 4.1.2 (2021-11-01)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 22.04.2 LTS
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8 LC_MONETARY=en_US.UTF-8
[6] LC_MESSAGES=en_US.UTF-8 LC_PAPER=en_US.UTF-8 LC_NAME=C LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] plotly_4.10.2 ggplot2_3.4.2
loaded via a namespace (and not attached):
[1] magrittr_2.0.3 tidyselect_1.2.0 munsell_0.5.0 viridisLite_0.4.2 colorspace_2.1-0 R6_2.5.1 rlang_1.1.1
[8] fastmap_1.1.1 fansi_1.0.4 httr_1.4.6 dplyr_1.1.2 tools_4.1.2 parallel_4.1.2 grid_4.1.2
[15] data.table_1.14.8 gtable_0.3.3 utf8_1.2.3 cli_3.6.1 withr_2.5.0 ellipsis_0.3.2 crosstalk_1.2.0
[22] htmltools_0.5.5 yaml_2.3.7 lazyeval_0.2.2 digest_0.6.31 tibble_3.2.1 lifecycle_1.0.3 tidyr_1.3.0
[29] purrr_1.0.1 htmlwidgets_1.6.2 vctrs_0.6.2 glue_1.6.2 compiler_4.1.2 pillar_1.9.0 generics_0.1.3
[36] scales_1.2.1 jsonlite_1.8.5 pkgconfig_2.0.3
Guia de contribuição
Primeiros passos
- Leia a issue inteira e depois o guia de contribuição do projeto.
- Comente na issue dizendo que vai assumir — evita que duas pessoas façam o mesmo trabalho.
- Faça um fork do repositório e trabalhe em uma branch.
- Abra um pull request que referencie o número da issue.
Direção de pesquisa
Comece executando os exemplos reproduzíveis em R usando plot_ly com type='scatter', stackgroup, fillcolor e legendrank. Rastreie como a ordem da legenda de áreas empilhadas responde a esses argumentos; considera-se concluído quando a ordem da legenda segue legendrank de forma consistente, independentemente da ordem de fillcolor, preservando o comportamento 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
- 35/100