数据示例(归一化处理后):
![](https://file.jishuzhan.net/article/1759480021677772801/9dda8738daa0f3c03985e3bbb040fb9b.webp)
python
install.packages("corrplot")
install.packages("ggplot2")
install.packages("ggpubr")
library(corrplot)
install.packages("GGally")
library(GGally)
library(ggplot2)
library(ggpubr)
library(readxl)
# 读取Excel数据
td <-read_excel("D:/Users/DELL/Desktop/IBC温度模型/51573各气象因子的相关性.xlsx")
ggpairs(td)
相关性热图:
![](https://file.jishuzhan.net/article/1759480021677772801/04a5f45a13f53581d23095bcb811a3fb.webp)
PS:还可绘制其他形式的热图,改代码就行,简单!