本文介绍了如何在R Plot'的日出图中获取点击切片的EVENT_DATA的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

在闪亮APP中使用Plot R Package创建日出饼图时,用户可以点击该曲线图进行动态放大/缩小。我们希望能够下载当前选定/居中部分的一些数据。

但是,我们无法从所有可能的eventdata选项中找到此信息。有悬停事件,但这还不够,因为用户可以单击一块,然后在不单击它的情况下四处移动鼠标以悬停在其他块上。

没有放大/缩小的单击事件。而且也没有重赛项目。我认为一定是用放大/缩小触发了一些js事件,但现有的eventdata函数没有捕获到这一点。

更新:js图表似乎有selectedPath属性,但我不知道如何在SHINY中访问此数据。

UPDATE2:感谢您的回答,它解决了问题。此外,它还被证明是Plotly R包中缺失的功能,并且it has been addd in most recent commit

推荐答案

目前plotly_click仅提供日出图的根和叶的数据。但是,单击绘图后,您可以将plotly_hoverevent_data传递给reactiveVal

由于您尚未提供任何示例,请参阅以下内容-使用library(shinyjs)中的onclick()了解解决方法。

library(plotly)
library(shinyjs)

DF <- structure(list(labels = c("total", "A", "C", "B", "F", "E", "F",
                                "E", "D", "E", "D", "D", "F", "G", "H", "H", "G", "H", "G", "H",
                                "H", "G", "I", "G", "I", "H", "G", "I", "I", "G", "G", "I", "H",
                                "H", "I", "I", "I", "H", "I", "G"),
                     values = c(100L, 36L, 29L,
                                35L, 12L, 14L, 10L, 14L, 8L, 18L, 5L, 10L, 9L, 6L, 5L, 4L, 3L,
                                7L, 4L, 2L, 6L, 3L, 8L, 3L, 2L, 4L, 4L, 4L, 4L, 4L, 3L, 2L, 5L,
                                5L, 2L, 2L, 1L, 1L, 1L, 5L),
                     parents = c(NA, "total", "total", "total", "total - A", "total - C", "total - C", "total - A",
                                 "total - B", "total - B", "total - C", "total - A", "total - B",
                                 "total - A - F", "total - C - E", "total - C - F", "total - A - E",
                                 "total - A - E", "total - B - D", "total - B - D", "total - B - E",
                                 "total - C - D", "total - B - E", "total - A - D", "total - B - D",
                                 "total - B - F", "total - C - F", "total - A - E", "total - C - E",
                                 "total - B - E", "total - B - F", "total - A - D", "total - A - D",
                                 "total - A - F", "total - B - F", "total - C - F", "total - C - D",
                                 "total - C - D", "total - A - F", "total - C - E"),
                     ids = c(
                       "total", "total - A", "total - C", "total - B", "total - A - F", "total - C - E",
                       "total - C - F", "total - A - E", "total - B - D", "total - B - E", "total - C - D",
                       "total - A - D", "total - B - F", "total - A - F - G", "total - C - E - H",
                       "total - C - F - H", "total - A - E - G", "total - A - E - H", "total - B - D - G",
                       "total - B - D - H", "total - B - E - H", "total - C - D - G", "total - B - E - I",
                       "total - A - D - G", "total - B - D - I", "total - B - F - H", "total - C - F - G",
                       "total - A - E - I", "total - C - E - I", "total - B - E - G", "total - B - F - G",
                       "total - A - D - I", "total - A - D - H", "total - A - F - H", "total - B - F - I",
                       "total - C - F - I", "total - C - D - I", "total - C - D - H", "total - A - F - I",
                       "total - C - E - G"
                     )), row.names = c(NA,-40L), class = "data.frame")

ui <- fluidPage(
  useShinyjs(),
  plotlyOutput("sunburst"),
  htmlOutput("hoverDataOut"),
  htmlOutput("clickDataOut")
)

server <- function(input, output, session) {
  output$sunburst <- renderPlotly({
    plot_ly(data = DF, source = "sunSource", customdata = ~ids, ids = ~ids, labels= ~labels, parents = ~parents, values= ~values, type='sunburst', branchvalues = 'total')
  })

  hoverData <- reactive({
    currentEventData <- unlist(event_data(event = "plotly_hover", source = "sunSource", priority = "event"))
  })

  clickData <- reactiveVal()

  observe({
    clickData(unlist(event_data(event = "plotly_click", source = "sunSource", priority = "event")))
  })

  onclick(id = "sunburst", expr = {clickData(hoverData())})

  output$hoverDataOut <- renderText({
    paste("Hover data:", paste(names(hoverData()), unlist(hoverData()), sep = ": ", collapse = " | "))
  })

  output$clickDataOut <- renderText({
    paste("Click data:", paste(names(clickData()), unlist(clickData()), sep = ": ", collapse = " | "))
  })

}

shinyApp(ui, server)


我已创建GitHubissue以获取有关此行为的更多信息。

您可能还会对this post感兴趣。


更新:响应thisplotly_sunburstclick的最新提交后可按如下方式使用:

# install latest r-plotly dev version:
# devtools::install_github("ropensci/plotly")

library(plotly)
library(shinyjs)

DF <- structure(list(labels = c("total", "A", "C", "B", "F", "E", "F",
                                "E", "D", "E", "D", "D", "F", "G", "H", "H", "G", "H", "G", "H",
                                "H", "G", "I", "G", "I", "H", "G", "I", "I", "G", "G", "I", "H",
                                "H", "I", "I", "I", "H", "I", "G"),
                     values = c(100L, 36L, 29L,
                                35L, 12L, 14L, 10L, 14L, 8L, 18L, 5L, 10L, 9L, 6L, 5L, 4L, 3L,
                                7L, 4L, 2L, 6L, 3L, 8L, 3L, 2L, 4L, 4L, 4L, 4L, 4L, 3L, 2L, 5L,
                                5L, 2L, 2L, 1L, 1L, 1L, 5L),
                     parents = c(NA, "total", "total", "total", "total - A", "total - C", "total - C", "total - A",
                                 "total - B", "total - B", "total - C", "total - A", "total - B",
                                 "total - A - F", "total - C - E", "total - C - F", "total - A - E",
                                 "total - A - E", "total - B - D", "total - B - D", "total - B - E",
                                 "total - C - D", "total - B - E", "total - A - D", "total - B - D",
                                 "total - B - F", "total - C - F", "total - A - E", "total - C - E",
                                 "total - B - E", "total - B - F", "total - A - D", "total - A - D",
                                 "total - A - F", "total - B - F", "total - C - F", "total - C - D",
                                 "total - C - D", "total - A - F", "total - C - E"),
                     ids = c(
                       "total", "total - A", "total - C", "total - B", "total - A - F", "total - C - E",
                       "total - C - F", "total - A - E", "total - B - D", "total - B - E", "total - C - D",
                       "total - A - D", "total - B - F", "total - A - F - G", "total - C - E - H",
                       "total - C - F - H", "total - A - E - G", "total - A - E - H", "total - B - D - G",
                       "total - B - D - H", "total - B - E - H", "total - C - D - G", "total - B - E - I",
                       "total - A - D - G", "total - B - D - I", "total - B - F - H", "total - C - F - G",
                       "total - A - E - I", "total - C - E - I", "total - B - E - G", "total - B - F - G",
                       "total - A - D - I", "total - A - D - H", "total - A - F - H", "total - B - F - I",
                       "total - C - F - I", "total - C - D - I", "total - C - D - H", "total - A - F - I",
                       "total - C - E - G"
                     )), row.names = c(NA,-40L), class = "data.frame")

ui <- fluidPage(
  useShinyjs(),
  plotlyOutput("sunburst"),
  htmlOutput("hoverDataOut"),
  htmlOutput("clickDataOut")
)

server <- function(input, output, session) {
  output$sunburst <- renderPlotly({
    plot_ly(data = DF, source = "sunSource", customdata = ~ids, ids = ~ids, labels= ~labels, parents = ~parents, values= ~values, type='sunburst', branchvalues = 'total')
  })

  hoverData <- reactive({
    currentEventData <- unlist(event_data(event = "plotly_hover", source = "sunSource", priority = "event"))
  })

  clickData <- reactive({
    currentEventData <- unlist(event_data(event = "plotly_sunburstclick", source = "sunSource", priority = "event"))
  })

  output$hoverDataOut <- renderText({
    paste("Hover data:", paste(names(hoverData()), unlist(hoverData()), sep = ": ", collapse = " | "))
  })

  output$clickDataOut <- renderText({
    paste("Click data:", paste(names(clickData()), unlist(clickData()), sep = ": ", collapse = " | "))
  })

}

shinyApp(ui, server)

这篇关于如何在R Plot&#39;的日出图中获取点击切片的EVENT_DATA的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!

07-07 07:56