# ggtitle(name)+ theme_bw()+ ggtitle('Data vs Test') + #theme(aspect.ratio = 1/5) + theme(axis.text=element_text(size=18), axis.title=element_text(size=24), plot.title = element_text(size=26)) + theme(legend.key.size = unit(2,"line"), legend.title = element_text(size=24...
mpg_z := (mpg-mean(mpg))/sd(mpg)] df[mpg_z > 0, mpg_c := "g"] df[mpg_z <= 0, mpg_c := "r"] # 注意Ferrari Dino和原版数值不一样,可能是数据的问题,用本地数据R和Python画出图结果一样 ggplot(df, aes(y = reorder(cars, mpg_z), color = mpg_c))+ geom_linerange(aes...
line=2.5)##允许在同一张图上画第三条折现par(new=TRUE)##画男女比例的折线图plot(id,男女比例,...
(y=1, x = patient_id, fill=histopathology, width=0.9), stat="identity") + theme_classic() + ylab("histology") + scale_fill_manual(values=c("#67001f","#053061", "#bababa")) + theme(axis.text.x = element_blank(), axis.line.x = element_blank(), axis.ticks.x = element_...
> ggplot(data=Salaries, aes(x=rank, y=salary, fill=sex)) + + geom_boxplot() + + scale_x_discrete(breaks=c("AsstProf", "AssocProf", "Prof"), #对x轴因子进行自定义 + labels=c("Assistant\nProfessor", + "Associate\nProfessor", ...
PlotLine <- ggplot(pp, aes(x, y, color = id, linetype = id))+ theme(axis.line = element_line(colour = Farbe), panel.background = element_rect(fill = "transparent", color = NA), plot.background = element_rect(fill= "transparent", color = NA), ...
_line(aes(y=Consumers,color="Consumers"))p<-p+geom_point(aes(y=Amount/20,color="Amount"))p<-p+scale_y_continuous(sec.axis=sec_axis(~.*20,name="Amount"))# notice the first augment, trans in sec_axisp<-p+scale_color_manual(values=c("red","blue"))p<-p+theme(axis.title.y=...
Furthermore, note that the y-axis is not representing the values shown on the line properly. Let’s fix this! Example 2: Add Secondary Y-Axis to ggplot2 Plot This example shows how toadd a second y-axisto our plot, which represents the values of the line that we have annotated in ...
272-basic-scatterplot-with-ggplot2.html 272-basic-scatterplot-with-ggplot2.html12.69 KB 一键复制编辑原始数据按行查看历史 holtzy提交于6年前.--- :) --- <!DOCTYPE html> <!-- Google Analytics + OutboundLink + Google Adsense --> window.dataLayer=window...
sns.set_style('white') ax1 = fig.add_subplot(111) ax1.plot(x, y1) ax1.set_ylabel('Y ...