流动图

作者

[编辑] 郑虎;

[审核] .

修改于

2026-01-27

注记

Hiplot 网站

本页面为 Hiplot Streamgraph 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/streamgraph?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; streamgraph

# 安装包
if (!requireNamespace("data.table", quietly = TRUE)) {
  install.packages("data.table")
}
if (!requireNamespace("jsonlite", quietly = TRUE)) {
  install.packages("jsonlite")
}
if (!requireNamespace("streamgraph", quietly = TRUE)) {
  remotes::install_github("hrbrmstr/streamgraph")
}

# 加载包
library(data.table)
library(jsonlite)
library(streamgraph)
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
 data.table  * 1.18.0  2025-12-24 [1] RSPM
 jsonlite    * 2.0.0   2025-03-27 [1] RSPM
 streamgraph * 0.9.0   2025-11-02 [1] Github (hrbrmstr/streamgraph@76f7173)

 [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/streamgraph/data.json")$exampleData$textarea[[1]])
data <- as.data.frame(data)

# 整理数据格式
colnames(data) <- c("date","key","value")

# 查看数据
head(data)
  date key  value
1 1990   a 0.7688
2 1990   b 0.5782
3 1990   c 0.8164
4 1990   d 0.4791
5 1990   e 0.8793
6 1990   f 0.4640

可视化

# 流动图
p <- streamgraph(data, key = "key", value = "value", date = "date",
                 offset = "silhouette", interpolate = "cardinal",
                 interactive = F, scale = "date") %>% 
  sg_fill_brewer(palette = "Spectral")

p
图 1: 流动图