之前我们学习了ggplot绘制单变量，两个连续变量的图形，两个离散型变量。对于一个离散型变量，一个连续型变量，有很多作图方式，包括箱图，点图等等 • geom_boxplot() for box plot• geom_violin() for violin plot• geom_dotplot() for dot plot• geom_jitter() for stripchart• geom_line() ...
import pandas as pd import numpy as np import pandas.api.types as pdtypes from plotnine import ( ggplot, aes, stage, geom_violin, geom_point, geom_line, geom_boxplot, scale_fill_manual, theme, theme_classic ) #构建数据 np.random.seed(123) n = 20 mu = (1, 2.3) sigma = (1, 1....
代码语言:javascript 代码运行次数:0 运行 AI代码解释 ibrary(ggplot2)ggplot(df,aes(x=year,y=auth_num,col=journal,fill=journal))+stat_summary(fun.data="mean_cl_boot",geom="ribbon",#width=.2,alpha=I(.5))+stat_summary(fun="mean",geom="line")+labs(x="Year",y="Mean number of authors...
ggplot(economics, aes(x=date)) + geom_line(aes(y = psavert), color = "darkred") + geom_line(aes(y = uempmed), color="steelblue", linetype="twodash") + theme_minimal()require(reshape2)df <- melt(economics[, c("date", "psavert", "uempmed")], id="date")ggplot(df,...
火山图(Volcano Plot)常用于展示基因表达差异的分布,横坐标常为Fold change(倍数),越偏离中心差异倍数越大;纵坐标为P value(P值),值越大差异越显著。得名原因也许是因为结果图像火山吧 一 载入R函数包及数据集 代码语言:javascript 代码运行次数:0 运行 ...
library(ggplot2) # Basic line plot with points ggplot(data=df, aes(x=dose, y=len, group=1)) + geom_line()+ geom_point() # Change the line type ggplot(data=df, aes(x=dose, y=len, group=1)) + geom_line(linetype = "dashed")+ geom_point() # Change the color ggplot(data=...
• geom_boxplot() for box plot• geom_violin() for violin plot• geom_dotplot() for dot plot• geom_jitter() for stripchart• geom_line() for line plot• geom_bar() for bar plot 今天我们介绍一下箱图 library(ggplot2)data("ToothGrowth")ToothGrowth$dose <- as.factor(...
re building the plot up with layers. Soggplot2places each layer on top of previous ones. Thus, the order in which we create the geoms will determine which layers fall on top of the others. We created thegeom_point()layer beforegeom_line()andgeom_errorbar(), so the points appear ...
geom_boxplot(fill="white",outlier.color=NA)+ stat_summary(fun=mean,geom="point",size=3,color="blue") 8、修改误差棒线条类型: ggplot(df,aes(group1,value))+ stat_boxplot(aes(color=group1),geom="errorbar",width=0.1,size=0.8,linetype=2)+ ...
R语言ggplot2折线图(line plot)添加置信区间(CI)展示学术论文作者数量的变化趋势,非常有意思的数据可视化案例,原文提出的问题是学术论文中的作者数量有逐年增加的趋势;于是利用R语言里的rplos包抓取了Plos系列...