plotly / plotly/plotly.R

Unable to index traces with a continuous legend using both add_trace and plotlyproxyinvoke "add_trace"

未关闭
#2,390 0 条评论 0 个 reaction 已指派 0 人 在 GitHub 查看

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 have a number of plots that I am trying to synchronize and draw a highlighted point on in response to a users search. This works fine except when they are in tabs. Plotly proxy can't add a trace to graph that is not yet drawn, and in Shiny there isn't a good way to trigger an event after the plot is drawn. Subsequently I have added a manual add_trace check to see if a search has found a point that needs to be highlighted. However, when I add a trace directly to the figure. The traces are added in different orders, I gather the legend is added after both traces are defined. It appears that a continuous legend gets added as a trace, after all traces are drawn. So in a different order than when invokeProxy.

So in scenario one when a plot has been drawn and I add a trace the new trace has an index of 2, however if I draw the plot then add it within the same render function the legend has an index of 2.

It's really difficult to generate a reproducible example here, as I have done a number of tests, and things are pretty confusing. For example, if I add a name variable. name= ~SERIAL_NUM then for some reason each point gets it's own trace index. However, this obliterates the hover text for some reason.

library(shiny)
library(plotly)

ui <- fluidPage(
  plotlyOutput("plot"),actionButton(label="add","addtrace"),actionButton(label="delete","deletetrace")
)




server <- function(input, output, session) {
   plotproxy <- plotlyProxy("plot", session=session, deferUntilFlush=FALSE)
 
  
  output$plot <- renderPlotly({
    a = seq(1,10,1)
    b = seq(100,1000,100)
    c = seq(1,4.9,0.4)
    
    data = tibble(a,b,c)
    data <- data %>% mutate(res = a+b+c)
    
    layout_details <- list(xaxis = list(title = 'a [-]'),
                           yaxis = list(title = 'b [-]'),
                           zaxis = list(title = 'c [-]'),
                           coloraxis=list(colorbar=list(title=list(text='Here are the results'))))
    
    p = plot_ly(data, x = ~a, y = ~b , color = ~res, type = 'scatter', 
                mode = 'markers', text = ~res, showlegend = FALSE, scene = 'scene1',hovertemplate = paste('<b><b>SERIAL_NUM</b>:  %{text}'))
    p
  })
  

  observeEvent(input$addtrace, {
    plotproxy%>%plotlyProxyInvoke("addTraces", list(list( 
      x =  list(2),
      y = list(2),
      type = 'scatter',
      mode = 'markers' ,
      marker = list(size = 10,
                    color = 'rgba(255, 18 , 19 , .9)',
                    line = list(color = 'rgba(0, 0, 0, .3)',
                                width = 3))
    )))
    
  
  
})
  observeEvent(input$deletetrace, {
    plotproxy%>%plotlyProxyInvoke("deleteTraces",2)
    
    
  })
}
shinyApp(ui, server)

贡献指南

打开贡献指南

从这里开始

  1. 先读完整个 Issue,再读项目的贡献指南。
  2. 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

调研方向

从提供的 Shiny 示例开始,使用 renderPlotly、plotlyProxyInvoke("addTraces") 和 deleteTraces,并比较连续图例在渲染期间创建与之后创建时的 trace 顺序。重现不同的索引,并验证添加和删除高亮 trace 时始终以预期的 trace 为目标。

由索引模型根据 Issue 内容生成。

评估

技术栈
javascript, 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
28/100

把新 issue 发到你的邮箱

精选适合新手参与的 GitHub issue 摘要。