使用繪圖代理在不改變標記大小的情況下以圖形方式更改跡線標記的顏色

Question

我正在嘗試使用plotlyproxy來改變trace的color ，這有效，但問題是，它還會改變我的標記/ legendmarkers標記的大小。

很久以前我發現（據我目前的研究表明）仍無法單獨設置圖例標記的大小與圖標記不同。

如果你想要在散點圖中繪制5000點，如果你問我最終得到的是小傳說或巨型情節標記，那就是一場災難。

所以問題是A或B解決方案類型：A：找到一種方法來使用plotlyproxy而不改變我的legend marker size或B：找到一種方法來分別調整legend大小，以一種不受影響的方式當plotlyproxy觸發時

我歡迎那些了解這個圖例大小問題的人的任何反饋。

注意：可能這可以用javascript完成，但如果在這種情況下，我可能需要提供更多關於我正在努力實現的實際應用程序的信息

這是顯示它的虛擬應用程序：

library(plotly)
library(shiny)
library(htmlwidgets)
library(colourpicker)


ui <- fluidPage(
  fluidRow(
     column(8,
           plotlyOutput("plot1")
    ),
    column(2,
                   colourpicker::colourInput(inputId = 'markercolor', label = 'X',
           palette = "limited", 
           showColour = "background", returnName = TRUE),
           selectInput(inputId = 'traceNo', label = 'Trace', choices = c(1:3), selected = 1),
           br(),
           h5('Switch'),
           actionButton(inputId = 'Switch', label = icon('refresh'), style = "color: #f7ad6e;   background-color: white;  border-color: #f7ad6e;
                        height: 40px; width: 40px; border-radius: 6px;  border-width: 2px; text-align: center;  line-height: 50%; padding: 0px; display:block; margin: 2px")
    )
  )
)

server <- function(input, output, session) {
  # values <- reactiveValues()


  observeEvent(input$Switch, { 
    plotlyProxy("plot1", session) %>%
      plotlyProxyInvoke("restyle", list(marker = list(color = input$markercolor)), list(as.numeric(input$traceNo)-1))
    })

  output$plot1 <- renderPlotly({
    markersize <- 4
    markerlegendsize <- 20
   colors <- c('red', 'blue', 'black')
    p1 <- plot_ly()
    p1 <-  add_trace(p1, data = mtcars, x = ~disp, y = ~mpg, type = 'scatter', mode = 'markers', color = ~as.factor(cyl), colors = colors)
    p1 <- layout(p1, title = 'mtcars group by cyl with switching colors')
    p1 <- plotly_build(p1)

    ## this is a bit of a hack to change the size of the legend markers to not be equal to the plot marker size. 
    ## it makes a list of 1 size value for each marker in de trace in the plot, and another half of with sizes that are a lot bigger.
    ## the legend marker size is effectively the average size of all markers of a trace
    for(i in seq(1, length(sort(unique(mtcars$cyl) )))) {
      length.group <- nrow(mtcars[which(mtcars$cyl  == sort(unique(mtcars$cyl))[i]), ])
      p1$x$data[[i]]$marker$size <- c(rep(markersize,length.group), rep(c(-markersize+2*markerlegendsize), length.group))
    }
    p1
  })
}

shinyApp(ui, server)

Answer 1

您可以使用shinyJS注入custon javascript代碼。 在這里，我使用一些d3來選擇圖例項並更改它們的大小。 這是非常hacky但不幸的是，據我所知，情節上沒有提供內部解決方案。

library(plotly)
library(shiny)
library(htmlwidgets)
library(colourpicker)
library(shinyjs)

jsCode <- "shinyjs.changelegend = function(){
var paths = d3.select('#plot1').
select('.legend').
select('.scrollbox').
selectAll('.traces').
select('.scatterpts')
.attr('d','M8,0A8,8 0 1,1 0,-8A8,8 0 0,1 8,0Z');}"

ui <- fluidPage(
  tags$script(src = "https://d3js.org/d3.v4.min.js"),
  useShinyjs(),
  extendShinyjs(text = jsCode),
  fluidRow(
    column(8,
           plotlyOutput("plot1")
    ),
    column(2,
           colourpicker::colourInput(inputId = 'markercolor', label = 'X',
                                     palette = "limited", 
                                     showColour = "background", returnName = TRUE),
           selectInput(inputId = 'traceNo', label = 'Trace', choices = c(1:3), selected = 1),
           br(),
           h5('Switch'),
           actionButton(inputId = 'Switch', label = icon('refresh'), style = "color: #f7ad6e;   background-color: white;  border-color: #f7ad6e;
                        height: 40px; width: 40px; border-radius: 6px;  border-width: 2px; text-align: center;  line-height: 50%; padding: 0px; display:block; margin: 2px")
           )
    ),
  tags$div(id = "test")
  )

server <- function(input, output, session) {
  # values <- reactiveValues()


  observeEvent(input$Switch, { 
    plotlyProxy("plot1", session) %>%
      plotlyProxyInvoke("restyle", list(marker = list(color = input$markercolor)), list(as.numeric(input$traceNo)-1))
  })

  observeEvent(input$Switch,{
    js$changelegend()
  })

  output$plot1 <- renderPlotly({
    markersize <- 4
    markerlegendsize <- 20
    colors <- c('red', 'blue', 'black')
    p1 <- plot_ly()
    p1 <-  add_trace(p1, data = mtcars, x = ~disp, y = ~mpg, type = 'scatter', mode = 'markers', color = ~as.factor(cyl), colors = colors)
    p1 <- layout(p1, title = 'mtcars group by cyl with switching colors')
    p1 <- plotly_build(p1)

    # this is a bit of a hack to change the size of the legend markers to not be equal to the plot marker size.
    # it makes a list of 1 size value for each marker in de trace in the plot, and another half of with sizes that are a lot bigger.
    # the legend marker size is effectively the average size of all markers of a trace
    for(i in seq(1, length(sort(unique(mtcars$cyl) )))) {
      length.group <- nrow(mtcars[which(mtcars$cyl  == sort(unique(mtcars$cyl))[i]), ])
      p1$x$data[[i]]$marker$size <- c(rep(markersize,length.group), rep(c(-markersize+2*markerlegendsize), length.group))
    }
    return(p1)
  })

}

shinyApp(ui, server)

自定義javascript代碼在jsCode中定義， jsCode在extendShinyjs()初始化。 最后，只要單擊按鈕，就會在js$changelegend()調用它。

如果你有多個圖並且你想要相同的行為，你可以將plot id作為參數傳遞給js$changelegend() jsCode js$changelegend()並相應地更改jsCode來處理它。