分组饼图

作者

[编辑] 郑虎;

[审核] .

修改于

2026-01-27

注记

Hiplot 网站

本页面为 Hiplot Pie Group 插件的源码版本教程，您也可以使用 Hiplot 网站实现无代码绘图，更多信息请查看以下链接:

https://hiplot.cn/basic/pie-group?lang=zh_cn

环境配置

  • 系统: Cross-platform (Linux/MacOS/Windows)

  • 编程语言: R

  • 依赖包: data.table; jsonlite; patchwork; ggplotify; cowplot

# 安装包
if (!requireNamespace("data.table", quietly = TRUE)) {
  install.packages("data.table")
}
if (!requireNamespace("jsonlite", quietly = TRUE)) {
  install.packages("jsonlite")
}
if (!requireNamespace("patchwork", quietly = TRUE)) {
  install.packages("patchwork")
}
if (!requireNamespace("ggplotify", quietly = TRUE)) {
  install.packages("ggplotify")
}
if (!requireNamespace("cowplot", quietly = TRUE)) {
  install.packages("cowplot")
}

# 加载包
library(data.table)
library(jsonlite)
library(patchwork)
library(ggplotify)
library(cowplot)
sessioninfo::session_info("attached")
─ Session info ───────────────────────────────────────────────────────────────
 setting  value
 version  R version 4.5.2 (2025-10-31)
 os       Ubuntu 24.04.3 LTS
 system   x86_64, linux-gnu
 ui       X11
 language (EN)
 collate  C.UTF-8
 ctype    C.UTF-8
 tz       UTC
 date     2026-01-28
 pandoc   3.1.3 @ /usr/bin/ (via rmarkdown)
 quarto   1.8.27 @ /usr/local/bin/quarto

─ Packages ───────────────────────────────────────────────────────────────────
 package    * version date (UTC) lib source
 cowplot    * 1.2.0   2025-07-07 [1] RSPM
 data.table * 1.18.0  2025-12-24 [1] RSPM
 ggplotify  * 0.1.3   2025-09-20 [1] RSPM
 jsonlite   * 2.0.0   2025-03-27 [1] RSPM
 patchwork  * 1.3.2   2025-08-25 [1] RSPM

 [1] /home/runner/work/_temp/Library
 [2] /opt/R/4.5.2/lib/R/site-library
 [3] /opt/R/4.5.2/lib/R/library
 * ── Packages attached to the search path.

──────────────────────────────────────────────────────────────────────────────

数据准备

# 加载数据
data <- data.table::fread(jsonlite::read_json("https://hiplot.cn/ui/basic/pie-group/data.json")$exampleData$textarea[[1]])
data <- as.data.frame(data)

# 整理数据格式
data[,"genre"] <- factor(data[,"genre"], levels = unique(data[,"genre"]))
data[,"mpaa"] <- factor(data[,"mpaa"], levels = unique(data[,"mpaa"]))

# 查看数据
head(data)
                                               title year length budget rating
1                          Shawshank Redemption, The 1994    142     25    9.1
2     Lord of the Rings: The Return of the King, The 2003    251     94    9.0
3 Lord of the Rings: The Fellowship of the Ring, The 2001    208     93    8.8
4             Lord of the Rings: The Two Towers, The 2002    223     94    8.8
5                                       Pulp Fiction 1994    168      8    8.8
6                                   Schindler's List 1993    195     25    8.8
   votes  mpaa  genre
1 149494     R  Drama
2 103631 PG-13 Action
3 157608 PG-13 Action
4 114797 PG-13 Action
5 132745     R  Drama
6  97667     R  Drama

可视化

# 分组饼图
col <- c("#E64B35FF","#4DBBD5FF","#00A087FF","#3C5488FF","#F39B7FFF","#8491B4FF",
         "#91D1C2FF","#DC0000FF","#7E6148FF","#B09C85FF")
plist <- list()
for (i in 1:length(unique(data[,"mpaa"]))) {
  data_tmp <- data[data[,"mpaa"] == unique(data[,"mpaa"])[i],]
  x <- table(data_tmp[,"genre"])
  ptmp <- as.ggplot(function(){
    par(oma=c(0,0,0,0))
    pie(x,
      labels = sprintf("%s\n(n=%s, %s%%)", names(x), x,
        round(x / sum(x) * 100, 0)),
      col = col,
      main = paste0("mpaa", ":", unique(data[,"mpaa"])[i]),
      edges = 200,
      radius = 0.8,
      clockwise = F
    )
  })
  plist[[i]] <- ptmp
}

plot_grid(plotlist = plist, ncol = 2)
图 1: 分组饼图