R语言条形图中的条件颜色

xzv2uavs 于 12个月前发布在其他

关注(0)|答案(2)|浏览(101)

我在一个 Jmeter 板上工作，提供销售业绩。我使用echarts4r，并部署在shinyapps.io的云中

datafpytd[datafpytd$NIK==input$NIK,] %>% 
  e_charts(Month) %>% 
  e_bar(serie = GAP_Revenue, name = "Gap Revenue YTD") %>%
  e_color(ifelse(datafpytd[datafpytd$NIK==input$NIK,]$GAP_Revenue>0,"green","red"))

字符串
如何使条形图的颜色根据其值而不同，如果大于0，颜色应该是绿色，否则应该是红色？
这是示例数据：

structure(list(Index = c(1L, 1L, 1L, 1L, 1L, 1L), Group = structure(c(1L, 
1L, 1L, 1L, 1L, 1L), .Label = "Major Accounts", class = "factor"), 
    Div = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = "Financial Institution", class = "factor"), 
    Dept = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = "-", class = "factor"), 
    Name = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = "Jamil W.", class = "factor"), 
    Status = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = "PE", class = "factor"), 
    NIK = c(75994631L, 75994631L, 75994631L, 75994631L, 75994631L, 
    75994631L), Data_Type = structure(c(1L, 1L, 1L, 1L, 1L, 1L
    ), .Label = "Monthly", class = "factor"), Month = structure(c(3L, 
    2L, 5L, 1L, 6L, 4L), .Label = c("April", "February", "January", 
    "June", "March", "May"), class = "factor"), Name_FP = structure(c(1L, 
    1L, 1L, 1L, 1L, 1L), .Label = "Financial Institution - Jamil W.", class = "factor"), 
    FAB_In = c(681272250L, 549260036L, 247058501L, 492335484L, 
    1624053867L, 636687867L), Target_FAB_In = c(562081784L, 655762082L, 
    708223048L, 929889299L, 1033210332L, 797047970L), Revenue = c(32594192621, 
    31953999491, 31259721093, 31809774195, 31725823061, 29965576806
    ), Target_Revenue = c(31609626147, 32896422576, 34077352579, 
    31709041552, 32174547049, 33854985985)), class = "data.frame", row.names = c(NA, 
-6L))

型

来源：https://stackoverflow.com/questions/57586026/conditional-color-in-bar-chart

2条答案

按热度按时间

s3fp2yjn1#

我是echarts4r的作者，很抱歉这么晚才看到你的问题。你可以使用e_visual_map并将其设置为分段。

df <- tibble::tibble(
  Month = as.character(1:10),
  Revenue = runif(10, -10, 10)
)

library(echarts4r)

df %>% 
  e_charts(Month) %>% 
  e_bar(Revenue) %>% 
  e_visual_map(
    type = "piecewise",
    pieces = list(
      list(
        gt = 0,
        color = "green"
      ),
      list(
        lte = 0,
        color = "red"
      )
    )
  )

字符串

赞(0）回复(0）举报 12个月前

fzsnzjdm2#

为了显示其他选项并提供潜在的替代方案echarts4r，使用@JohnCoene的示例，我们有：

df <- tibble::tibble(
  Month = as.character(1:10),
  Revenue = runif(10, -10, 10)
)

library(echarts4r)
library(dplyr)

df %>% 
  dplyr::mutate(cond = ifelse(Revenue > 0, "green", "red")) %>% 
  dplyr::group_by(cond) %>% 
  e_charts(Month) %>% 
  e_bar(Revenue) %>% 
  e_color(color = c("green", "red")) %>% 
  e_legend(FALSE)

字符串

还有一个选择

df %>% 
  e_charts(Month) %>% 
  e_bar(Revenue,
        itemStyle = list(color = htmlwidgets::JS("
          function(params) {
                                var colorList = ['blue', 'blue', 'pink', 'blue', 'pink', 'blue', 'pink', 'blue', 'blue', 'pink'];
                                return colorList[params.dataIndex]
                                }
                                
    "))) %>% 
  e_legend(FALSE)

型

赞(0）回复(0）举报 12个月前

我来回答

R语言条形图中的条件颜色

2条答案

相关问题

热门标签

最新问答

R语言 条形图中的条件颜色

2条答案

相关问题

热门标签

最新问答

R语言条形图中的条件颜色