我的饼状图无法正常显示或显示任何内容

debugcn 发表于 Dev

carmen024_6

我用R用Shiny写了一些代码。但是，无论我在尝试什么，我的pieChart都不会显示。是我的数据还是代码错误？图表的数据如下所示：

值名称
dbl chr
17种
10电影
8电视连续剧6游戏
5食物
46随机

library(shiny)
library(shinydashboard)
library(dplyr)

ui <- dashboardPage(

    dashboardHeader(title = "Catnames in Europe"),
    skin = "red",

        dashboardSidebar(
                img(src = "cats_looking.jpg", height = 100, width = 150, align = "left"),
                selectInput("countries",
                            "Choose country:",
                            choices = c("Netherlands","Germany","Turkey","Ireland",
                                    "England","Belgium","Spain","Portugal",
                                    "United Sates","Denmark","Sweden",
                                    "Switzerland","Italy"),
                            selected = "Netherlands",
                            multiple = FALSE,
                            width = '400px'),
              selectInput("years",
                        "Choose Year:",
                        choices = c("2017","2018","2019","2020"),
                        selected = "2019",
                        multiple = FALSE,
                        width = '400px'),
                actionButton("button","Update view",style="color: #fff; background-color: #337ab7; border-color: #2e6da4"),
              tags$div(div_id= "distPie", class ="plot-Output")
              ),
        dashboardBody(fluidRow(
            tabBox(
                tabPanel("Countries",tableOutput("catnametable"),
                     style = "background-color: #ffffff;")),
            tabBox(
                tabPanel("Years",tableOutput("years"),
                     style = "background-color: #ffffff;"),
                tabPanel("Trends in 2019",deliverChart(div_id = "pieChart", running_in_shiny = TRUE),
                         style = "background-color: #ffffff;"))
    )))
server <- function(input, output) {

    output$catnametable <- renderTable({
        countrylist <- CatnamesEurope %>%
            filter(Country %in% input$countries)
    })
    output$years <- renderTable({
        yearlist <- Years2 %>%
            filter(Years_ordered %in% input$years)
    })
    output$pieChart <- renderPieChart(
        div_id = "pieChart",
        data = Trends,
        radius = '75%',
        center_x = '50%',
        center_y = '50%',
        show.label = TRUE,
        show.legend = TRUE, show.tools = TRUE,
        font.size.legend= 12
    )
}

shinyApp(ui = ui, server = server)

Ben

这里有一些尝试。

output由于没有您的全部数据，我注释了一些声明。

我还补充说：

loadEChartsLibrary(),
tags$div(id="pieChart", style="width:100%;height:400px;"),

在您打电话之前deliverChart。

library(shiny)
library(shinydashboard)
library(dplyr)
library(ECharts2Shiny)

Trends <- data.frame(
  value = c(17,10,8,6,5,46),
  name = c("Species", "Movies", "TV Series", "Games", "Food", "Random"),
  stringsAsFactors = FALSE
)

ui <- dashboardPage(

  dashboardHeader(title = "Catnames in Europe"),
  skin = "red",

  dashboardSidebar(
    img(src = "cats_looking.jpg", height = 100, width = 150, align = "left"),
    selectInput("countries",
                "Choose country:",
                choices = c("Netherlands","Germany","Turkey","Ireland",
                            "England","Belgium","Spain","Portugal",
                            "United Sates","Denmark","Sweden",
                            "Switzerland","Italy"),
                selected = "Netherlands",
                multiple = FALSE,
                width = '400px'),
    selectInput("years",
                "Choose Year:",
                choices = c("2017","2018","2019","2020"),
                selected = "2019",
                multiple = FALSE,
                width = '400px'),
    actionButton("button","Update view",style="color: #fff; background-color: #337ab7; border-color: #2e6da4"),
    tags$div(div_id= "distPie", class ="plot-Output")
  ),
  dashboardBody(fluidRow(
    tabBox(
      tabPanel("Countries",tableOutput("catnametable"),
               style = "background-color: #ffffff;")),
    tabBox(
      tabPanel("Years",tableOutput("years"),
               style = "background-color: #ffffff;"),
      tabPanel("Trends in 2019", 
               loadEChartsLibrary(),
               tags$div(id="pieChart", style="width:100%;height:400px;"),
               deliverChart(div_id = "pieChart", running_in_shiny = TRUE),
               style = "background-color: #ffffff;"))
  )))
server <- function(input, output) {

  output$catnametable <- renderTable({
    #countrylist <- CatnamesEurope %>%
    #  filter(Country %in% input$countries)
  })
  output$years <- renderTable({
    #yearlist <- Years2 %>%
    #  filter(Years_ordered %in% input$years)
  })

  output$pieChart <- renderPieChart(
    div_id = "pieChart",
    data = Trends,
    radius = '75%',
    center_x = '50%',
    center_y = '50%',
    show.label = TRUE,
    show.legend = TRUE, show.tools = TRUE,
    font.size.legend= 12
  )
}

shinyApp(ui = ui, server = server)

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