饼图高图R

时间:2017-08-14 08:41:15

标签: r highcharts pie-chart

我正在使用highcharter绘制饼图。当鼠标悬停在每个切片上时<它只显示一个值,但我想添加另一个值,以便它显示两个!  这是一个示例代码: 在我的代码中,您看到它仅使用A列和B列绘制数据,但我希望它显示C列作为鼠标悬停在切片上的附加信息。

library(highcharter)
A <- c("a", "b", "c", "d")
B <- c(4, 6, 9, 2)
C <- c(23, 26, 13, 15)
df <- data.frame(A, B, C)

highchart() %>% 
  hc_chart(type = "pie") %>% 
  hc_add_series_labels_values(labels = df$A, values = df$B)%>%    

  hc_tooltip(crosshairs = TRUE, borderWidth = 5, sort = TRUE, shared = TRUE, table = TRUE,
             pointFormat = paste('<b>{point.percentage:.1f}%</b>')
  ) %>%

  hc_title(text = "ABC",
           margin = 20,
           style = list(color = "#144746", useHTML = TRUE)) 

2 个答案:

答案 0 :(得分:2)

据我所知,@ ewolden提出的解决方案在highcharter中不起作用 一个简单而灵活的解决方案,用于在highcharter饼的工具提示中设置其他信息如下:

library(highcharter)
A <- c("a", "b", "c", "d")
B <- c(4, 6, 9, 2)
C <- c(23, 26, 13, 15)
df <- data.frame(A, B, C)

# A modified version of the "hc_add_series_labels_values" function
# The "text" input is now available
myhc_add_series_labels_values <- function (hc, labels, values, text, colors = NULL, ...) 
{
    assertthat::assert_that(is.highchart(hc), is.numeric(values), 
        length(labels) == length(values))
    df <- dplyr::data_frame(name = labels, y = values, text=text)
    if (!is.null(colors)) {
        assert_that(length(labels) == length(colors))
        df <- mutate(df, color = colors)
    }
    ds <- list_parse(df)
    hc <- hc %>% hc_add_series(data = ds, ...)
    hc
}

# Set the "text" input in myhc_add_series_labels_values
# point.text is now available inside pointFormat of hc_tooltip
highchart() %>% 
  hc_chart(type = "pie", data=df) %>% 
  myhc_add_series_labels_values(labels=A, values=B, text=C) %>% 
  hc_tooltip(crosshairs=TRUE, borderWidth=5, sort=TRUE, shared=TRUE, table=TRUE,
     pointFormat=paste('<br><b>A: {point.percentage:.1f}%</b><br>C: {point.text}')) %>%
  hc_title(text="ABC", margin=20, style=list(color="#144746", useHTML=TRUE)) 

enter image description here

使用此解决方案,我们可以在工具提示中打印两个或更多变量的内容。
下面我们在D数据集中添加变量df并在工具提示中将其可视化:< / p>

D <- c("Mars", "Jupiter", "Venus", "Saturn")
df <- data.frame(A, B, C, D)
txt <- paste("C:",C," <br>D:", D)

highchart() %>% 
  hc_chart(type="pie", data=df) %>% 
  myhc_add_series_labels_values(labels=A, values=B, text=txt) %>% 
  hc_tooltip(crosshairs=TRUE, borderWidth=5, sort=TRUE, shared=TRUE, table=TRUE,
          pointFormat=paste('<br><b>A: {point.percentage:.1f}%</b><br>{point.text}')) %>%
  hc_title(text = "ABC", margin = 20, style = list(color = "#144746", useHTML = TRUE)) 

enter image description here

答案 1 :(得分:1)

您可以在高级图表中创建包含自定义名称的图表,如下所示: http://jsfiddle.net/zh65suhm/。 也就是说,将工具提示更改为以下内容:

'<b>{point.percentage:.1f}%</b><br>Custom point: <b>{point.customData}</b>'

每个点都有自己的customData值。

我没有使用过高级版,但是查看API可能会对此进行一些操作:

hc_add_series(favorite_bars, "pie", hcaes(name = bar, y = percent), name = "Bars") %>%

这可能有用:

hc_add_series(favorite_bars, "pie", hcaes(name = bar, y = percent, customData = variable_with_customdata), name = "My pie") %>%

希望这会帮助你。