ggplotly crashes when AGG is required as graphical engine
未关闭
还没有人认领这个 Issue。
- 主要语言
- R
- 星标
- 2.7k
- 派生
- 641
- PR 合并指标
- 30 天内没有已合并 PR
描述
I'm developing Shiny apps in a platform, where the graphical engine in RStudio (browser version) needs to be AGG.
When making interactive plots with ggplotly the app crashes when running from RStudio with the following error message:
Listening on http://127.0.0.1:7615
Warning: Error in dev_fun: X11 is not available
106: dev_fun
105: gg2list
104: ggplotly.ggplot
103: ggplotly
102: %>%
101: renderPlotly [/PATH_TO_APP/app.R#77]
100: func
97: shinyRenderWidget
96: func
83: renderFunc
82: output$distggPlotly
1: runApp
The static plots in the app are working fine, but the plotly variant causes the problem (see below).
app.R file
library(shiny)
library(tidyverse)
library(plotly)
ui <- fluidPage(
titlePanel("Old Faithful Geyser Data"),
sidebarLayout(
sidebarPanel(
sliderInput("bins", "Number of bins:", min = 1, max = 50, value = 30)
),
mainPanel(
plotOutput("distPlot"),
plotOutput("distggPlot"),
plotlyOutput("distggPlotly")
)
)
)
server <- function(input, output) {
output$distPlot <- renderPlot({
x <- faithful[, 2]
bins <- seq(min(x), max(x), length.out = input$bins + 1)
hist(x, breaks = bins, col = 'darkgray', border = 'white',
xlab = 'Waiting time to next eruption (in mins)',
main = 'Histogram of waiting times')
})
output$distggPlot <- renderPlot({
x <- faithful[, 2]
bins <- seq(min(x), max(x), length.out = input$bins + 1)
faithful %>% ggplot(aes(x = waiting)) +
geom_histogram(breaks = bins, fill = 'darkgray', colour = 'white') +
labs(x = 'Waiting time to next eruption (in mins)',
title = 'Histogram of waiting times')
})
output$distggPlotly <- renderPlotly({
x <- faithful[, 2]
bins <- seq(min(x), max(x), length.out = input$bins + 1)
gg_hist <- faithful %>% ggplot(aes(x = waiting)) +
geom_histogram(breaks = bins, fill = 'darkgray', colour = 'white') +
labs(x = 'Waiting time to next eruption (in mins)',
title = 'Histogram of waiting times')
gg_hist %>% ggplotly()
})
}
shinyApp(ui = ui, server = server)
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
首先,使用 RStudio 的 AGG 图形引擎和 ggplotly() 调用,从提供的 app.R 示例中重现该故障。跟踪通过 gg2list 报告的 X11 错误,并验证 Shiny 应用可以在不要求 X11 的情况下渲染交互式图表。
由索引模型根据 Issue 内容生成。
评估
- 技术栈
- r
- 领域
- data-visualization
- Issue 类型
- 缺陷
- 难度
- 4/5
- 预计耗时
- 3-5 天
- 活跃度
- 停滞
- 描述清晰度
- 需要澄清
- 新手友好度
- 30/100