区间区域图

作者

[编辑] 郑虎;

[审核] .

修改于

2026-01-27

注记

Hiplot 网站

本页面为 Hiplot Interval Area Chart 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/interval-area-chart?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; ggplot2

# 安装包
if (!requireNamespace("data.table", quietly = TRUE)) {
  install.packages("data.table")
}
if (!requireNamespace("jsonlite", quietly = TRUE)) {
  install.packages("jsonlite")
}
if (!requireNamespace("ggplot2", quietly = TRUE)) {
  install.packages("ggplot2")
}

# 加载包
library(data.table)
library(jsonlite)
library(ggplot2)
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
 ggplot2    * 4.0.1   2025-11-14 [1] RSPM
 jsonlite   * 2.0.0   2025-03-27 [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

案例数据为一年十二个月份的最高和最低温度和对应的月份简称。通过案例数据绘制了每个月份的温度区间及温度均线。

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

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

# 查看数据
head(data)
  month min_temperature max_temperature mean
1   Jan              15              20   16
2   Feb              17              25   20
3   Mar              20              26   23
4   Apr              25              30   27
5   May              30              35   32
6   Jun              32              35   34

可视化

# 区间区域图
p <- ggplot(data, aes(x = month, group = 1)) +
  geom_line(aes(y = max_temperature), size = 1.2, color = "#EA3323", 
            linetype = "solid") +
  geom_line(aes(y = min_temperature), size = 1.2, color = "#0000F5", 
            linetype = "solid") +
  geom_line(aes(x = month, y = mean), size = 1.2, color = "#BEBEBE", 
            linetype = "dashed") +
  geom_ribbon(aes(ymin = min_temperature, ymax = max_temperature), 
              fill = "#F2F2F2", alpha = 0.5) +
  geom_text(aes(x = month, y = max_temperature + 1, label = max_temperature),
            color = "#EA3323", size = 2.5, vjust = -0.5, hjust = 0) +
  geom_text(aes(x = month, y = min_temperature - 1, label = min_temperature),
            color = "#0000F5", size = 2.5, vjust = 1.5, hjust = 0) +
  geom_text(aes(x = month, y = mean, label = mean),
            color = "#BEBEBE", size = 2.5, vjust = 1.5, hjust = 0) +
  labs(title = "Temperature", x = "Month", y = "Temperature") +
  scale_color_manual(values = c(max = "#EA3323", min = "#0000F5")) +
  theme_bw() +
  theme(plot.title = element_text(hjust = 0.5))

p
图 1: 区间区域图