Individual `barpolar` plots get merged into a single plot when using `subplot()`
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描述
Description of the issue
When I try to display any given number of barpolar plots using the subplot() function, plotly only shows one plot that has somehow aggregated all of the data from the individual plots.
Minimal reprex
Code
library(plotly)
# First barpolar plot
plot1 <- plot_ly(type = 'barpolar') %>%
add_trace(
r = c(10, 15, 20, 25, 30),
theta = c("A", "B", "C", "D", "E"),
marker = list(color = c("red", "blue", "green", "purple", "orange")),
name = "Plot 1"
) %>%
layout(title = "Barpolar Plot 1")
# Second barpolar plot
plot2 <- plot_ly(type = 'barpolar') %>%
add_trace(
r = c(5, 10, 15, 20, 25),
theta = c("A", "B", "C", "D", "E"),
marker = list(color = c("cyan", "magenta", "yellow", "gray", "pink")),
name = "Plot 2"
) %>%
layout(title = "Barpolar Plot 2")
# Combine the two plots into a subplot
subplot(plot1, plot2, nrows = 1)
Result
Expected result
Both plots shown individually, in a grid with 1 column and 2 rows.
Show session info
R version 4.4.1 (2024-06-14)
Platform: aarch64-apple-darwin20
Running under: macOS Sonoma 14.1.1
Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/lib/libRlapack.dylib; LAPACK version 3.12.0
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
time zone: Europe/Madrid
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] lubridate_1.9.3 forcats_1.0.0 stringr_1.5.1 dplyr_1.1.4
[5] purrr_1.0.2 readr_2.1.5 tidyr_1.3.1 tibble_3.2.1
[9] tidyverse_2.0.0 plotly_4.10.4 ggplot2_3.5.1
loaded via a namespace (and not attached):
[1] gtable_0.3.5 jsonlite_1.8.8 compiler_4.4.1 tidyselect_1.2.1
[5] scales_1.3.0 yaml_2.3.9 fastmap_1.2.0 R6_2.5.1
[9] generics_0.1.3 htmlwidgets_1.6.4 munsell_0.5.1 tzdb_0.4.0
[13] pillar_1.9.0 rlang_1.1.4 utf8_1.2.4 stringi_1.8.4
[17] lazyeval_0.2.2 timechange_0.3.0 viridisLite_0.4.2 cli_3.6.3
[21] withr_3.0.0 magrittr_2.0.3 crosstalk_1.2.1 digest_0.6.36
[25] grid_4.4.1 rstudioapi_0.16.0 hms_1.1.3 lifecycle_1.0.4
[29] vctrs_0.6.5 glue_1.7.0 data.table_1.15.4 fansi_1.0.6
[33] colorspace_2.1-0 httr_1.4.7 tools_4.4.1 pkgconfig_2.0.3
[37] htmltools_0.5.8.1
贡献指南
从这里开始
- 先读完整个 Issue，再读项目的贡献指南。
- 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
- Fork 仓库，在一个分支上完成修改。
- 提交 Pull Request，并在描述里引用这个 Issue 编号。
调研方向
从提供的 R reprex 开始，跟踪 subplot() 如何组合两个 barpolar plotly 对象。比较 barpolar 图生成的 subplot layout 和 trace assignments，然后运行 reprex，验证每个输入仍位于各自的网格单元格中，而不是被聚合。
由索引模型根据 Issue 内容生成。
评估
- 技术栈
- plotly, r
- 领域
- data-visualization
- Issue 类型
- 缺陷
- 难度
- 3/5
- 预计耗时
- 1-2 天
- 活跃度
- 停滞
- 描述清晰度
- 基本清楚
- 新手友好度
- 45/100