我有两个ggplots,我与grid.arrange
水平对齐。我查看了很多论坛帖子,但我尝试的所有内容似乎都是现在更新并命名为其他内容的命令。
我的数据看起来像这样;
# Data plot 1
axis1 axis2
group1 -0.212201 0.358867
group2 -0.279756 -0.126194
group3 0.186860 -0.203273
group4 0.417117 -0.002592
group1 -0.212201 0.358867
group2 -0.279756 -0.126194
group3 0.186860 -0.203273
group4 0.186860 -0.203273
# Data plot 2
axis1 axis2
group1 0.211826 -0.306214
group2 -0.072626 0.104988
group3 -0.072626 0.104988
group4 -0.072626 0.104988
group1 0.211826 -0.306214
group2 -0.072626 0.104988
group3 -0.072626 0.104988
group4 -0.072626 0.104988
#And I run this:
library(ggplot2)
library(gridExtra)
groups=c('group1','group2','group3','group4','group1','group2','group3','group4')
x1=data1[,1]
y1=data1[,2]
x2=data2[,1]
y2=data2[,2]
p1=ggplot(data1, aes(x=x1, y=y1,colour=groups)) + geom_point(position=position_jitter(w=0.04,h=0.02),size=1.8)
p2=ggplot(data2, aes(x=x2, y=y2,colour=groups)) + geom_point(position=position_jitter(w=0.04,h=0.02),size=1.8)
#Combine plots
p3=grid.arrange(
p1 + theme(legend.position="none"), p2+ theme(legend.position="none"), nrow=1, widths = unit(c(10.,10), "cm"), heights = unit(rep(8, 1), "cm")))
如何从这些图中提取图例并将其添加到组合图的底部/中心?
答案 0 :(得分:92)
df1 <- read.table(text="group x y
group1 -0.212201 0.358867
group2 -0.279756 -0.126194
group3 0.186860 -0.203273
group4 0.417117 -0.002592
group1 -0.212201 0.358867
group2 -0.279756 -0.126194
group3 0.186860 -0.203273
group4 0.186860 -0.203273",header=TRUE)
df2 <- read.table(text="group x y
group1 0.211826 -0.306214
group2 -0.072626 0.104988
group3 -0.072626 0.104988
group4 -0.072626 0.104988
group1 0.211826 -0.306214
group2 -0.072626 0.104988
group3 -0.072626 0.104988
group4 -0.072626 0.104988",header=TRUE)
library(ggplot2)
library(gridExtra)
p1 <- ggplot(df1, aes(x=x, y=y,colour=group)) + geom_point(position=position_jitter(w=0.04,h=0.02),size=1.8) + theme(legend.position="bottom")
p2 <- ggplot(df2, aes(x=x, y=y,colour=group)) + geom_point(position=position_jitter(w=0.04,h=0.02),size=1.8)
#extract legend
#https://github.com/hadley/ggplot2/wiki/Share-a-legend-between-two-ggplot2-graphs
g_legend<-function(a.gplot){
tmp <- ggplot_gtable(ggplot_build(a.gplot))
leg <- which(sapply(tmp$grobs, function(x) x$name) == "guide-box")
legend <- tmp$grobs[[leg]]
return(legend)}
mylegend<-g_legend(p1)
p3 <- grid.arrange(arrangeGrob(p1 + theme(legend.position="none"),
p2 + theme(legend.position="none"),
nrow=1),
mylegend, nrow=2,heights=c(10, 1))
以下是结果图:
答案 1 :(得分:66)
您也可以使用ggarrange包中的ggpubr并设置“common.legend = TRUE”:
library(ggpubr)
dsamp <- diamonds[sample(nrow(diamonds), 1000), ]
p1 <- qplot(carat, price, data = dsamp, colour = clarity)
p2 <- qplot(cut, price, data = dsamp, colour = clarity)
p3 <- qplot(color, price, data = dsamp, colour = clarity)
p4 <- qplot(depth, price, data = dsamp, colour = clarity)
ggarrange(p1, p2, p3, p4, ncol=2, nrow=2, common.legend = TRUE, legend="bottom")
答案 2 :(得分:58)
罗兰的回答需要更新。请参阅:https://github.com/hadley/ggplot2/wiki/Share-a-legend-between-two-ggplot2-graphs
此方法已针对ggplot2 v1.0.0进行了更新。
library(ggplot2)
library(gridExtra)
library(grid)
grid_arrange_shared_legend <- function(...) {
plots <- list(...)
g <- ggplotGrob(plots[[1]] + theme(legend.position="bottom"))$grobs
legend <- g[[which(sapply(g, function(x) x$name) == "guide-box")]]
lheight <- sum(legend$height)
grid.arrange(
do.call(arrangeGrob, lapply(plots, function(x)
x + theme(legend.position="none"))),
legend,
ncol = 1,
heights = unit.c(unit(1, "npc") - lheight, lheight))
}
dsamp <- diamonds[sample(nrow(diamonds), 1000), ]
p1 <- qplot(carat, price, data=dsamp, colour=clarity)
p2 <- qplot(cut, price, data=dsamp, colour=clarity)
p3 <- qplot(color, price, data=dsamp, colour=clarity)
p4 <- qplot(depth, price, data=dsamp, colour=clarity)
grid_arrange_shared_legend(p1, p2, p3, p4)
请注意缺少ggplot_gtable
和ggplot_build
。而是使用ggplotGrob
。这个例子比上面的解决方案有点复杂,但它仍然为我解决了。
答案 3 :(得分:11)
@Giuseppe,您可能需要考虑这一点,以灵活地规划图表安排(从here修改):
library(ggplot2)
library(gridExtra)
library(grid)
grid_arrange_shared_legend <- function(..., nrow = 1, ncol = length(list(...)), position = c("bottom", "right")) {
plots <- list(...)
position <- match.arg(position)
g <- ggplotGrob(plots[[1]] + theme(legend.position = position))$grobs
legend <- g[[which(sapply(g, function(x) x$name) == "guide-box")]]
lheight <- sum(legend$height)
lwidth <- sum(legend$width)
gl <- lapply(plots, function(x) x + theme(legend.position = "none"))
gl <- c(gl, nrow = nrow, ncol = ncol)
combined <- switch(position,
"bottom" = arrangeGrob(do.call(arrangeGrob, gl),
legend,
ncol = 1,
heights = unit.c(unit(1, "npc") - lheight, lheight)),
"right" = arrangeGrob(do.call(arrangeGrob, gl),
legend,
ncol = 2,
widths = unit.c(unit(1, "npc") - lwidth, lwidth)))
grid.newpage()
grid.draw(combined)
}
额外参数nrow
和ncol
控制排列图的布局:
dsamp <- diamonds[sample(nrow(diamonds), 1000), ]
p1 <- qplot(carat, price, data = dsamp, colour = clarity)
p2 <- qplot(cut, price, data = dsamp, colour = clarity)
p3 <- qplot(color, price, data = dsamp, colour = clarity)
p4 <- qplot(depth, price, data = dsamp, colour = clarity)
grid_arrange_shared_legend(p1, p2, p3, p4, nrow = 1, ncol = 4)
grid_arrange_shared_legend(p1, p2, p3, p4, nrow = 2, ncol = 2)
答案 4 :(得分:11)
我建议使用牛皮画。来自R vignette:
# load cowplot
library(cowplot)
# down-sampled diamonds data set
dsamp <- diamonds[sample(nrow(diamonds), 1000), ]
# Make three plots.
# We set left and right margins to 0 to remove unnecessary spacing in the
# final plot arrangement.
p1 <- qplot(carat, price, data=dsamp, colour=clarity) +
theme(plot.margin = unit(c(6,0,6,0), "pt"))
p2 <- qplot(depth, price, data=dsamp, colour=clarity) +
theme(plot.margin = unit(c(6,0,6,0), "pt")) + ylab("")
p3 <- qplot(color, price, data=dsamp, colour=clarity) +
theme(plot.margin = unit(c(6,0,6,0), "pt")) + ylab("")
# arrange the three plots in a single row
prow <- plot_grid( p1 + theme(legend.position="none"),
p2 + theme(legend.position="none"),
p3 + theme(legend.position="none"),
align = 'vh',
labels = c("A", "B", "C"),
hjust = -1,
nrow = 1
)
# extract the legend from one of the plots
# (clearly the whole thing only makes sense if all plots
# have the same legend, so we can arbitrarily pick one.)
legend_b <- get_legend(p1 + theme(legend.position="bottom"))
# add the legend underneath the row we made earlier. Give it 10% of the height
# of one plot (via rel_heights).
p <- plot_grid( prow, legend_b, ncol = 1, rel_heights = c(1, .2))
p
答案 5 :(得分:5)
如果您在两个图中绘制相同的变量,最简单的方法是将数据帧合并为一个,然后使用facet_wrap。
对于你的例子:
big_df <- rbind(df1,df2)
big_df <- data.frame(big_df,Df = rep(c("df1","df2"),
times=c(nrow(df1),nrow(df2))))
ggplot(big_df,aes(x=x, y=y,colour=group))
+ geom_point(position=position_jitter(w=0.04,h=0.02),size=1.8)
+ facet_wrap(~Df)
使用钻石数据集的另一个例子。这表明,如果您的图表之间只有一个共同的变量,您甚至可以使它工作。
diamonds_reshaped <- data.frame(price = diamonds$price,
independent.variable = c(diamonds$carat,diamonds$cut,diamonds$color,diamonds$depth),
Clarity = rep(diamonds$clarity,times=4),
Variable.name = rep(c("Carat","Cut","Color","Depth"),each=nrow(diamonds)))
ggplot(diamonds_reshaped,aes(independent.variable,price,colour=Clarity)) +
geom_point(size=2) + facet_wrap(~Variable.name,scales="free_x") +
xlab("")
第二个例子的唯一棘手的事情是,当你将所有内容组合成一个数据框时,因子变量会被强制转换为数字。因此,理想情况下,当所有感兴趣的变量属于同一类型时,您将这样做。
答案 6 :(得分:2)
如果两个图例的图例都相同,则可以使用grid.arrange
(这是一个简单的解决方案)(假设您希望图例在垂直或水平方向上都与两个图对齐)。只需将图例保留在最底部或最右边的图上,而将图例保留为其他图例。但是,仅在一个图上添加图例会更改一个图相对于另一个图的大小。为避免这种情况,请使用heights
命令手动调整并保持它们的大小相同。您甚至可以使用grid.arrange
来创建公共轴标题。请注意,除了library(grid)
之外,还需要library(gridExtra)
。对于垂直图:
y_title <- expression(paste(italic("E. coli"), " (CFU/100mL)"))
grid.arrange(arrangeGrob(p1, theme(legend.position="none"), ncol=1),
arrangeGrob(p2, theme(legend.position="bottom"), ncol=1),
heights=c(1,1.2), left=textGrob(y_title, rot=90, gp=gpar(fontsize=20)))
答案 7 :(得分:1)
@Guiseppe:
我根本不知道Grobs等,但是我一起解决了两个情节的解决方案,应该可以延伸到任意数字,但它不是性感的功能:
plots <- list(p1, p2)
g <- ggplotGrob(plots[[1]] + theme(legend.position="bottom"))$grobs
legend <- g[[which(sapply(g, function(x) x$name) == "guide-box")]]
lheight <- sum(legend$height)
tmp <- arrangeGrob(p1 + theme(legend.position = "none"), p2 + theme(legend.position = "none"), layout_matrix = matrix(c(1, 2), nrow = 1))
grid.arrange(tmp, legend, ncol = 1, heights = unit.c(unit(1, "npc") - lheight, lheight))
答案 8 :(得分:1)
一种有吸引力的新解决方案是使用patchwork
。语法非常简单:
library(ggplot2)
library(patchwork)
p1 <- ggplot(df1, aes(x = x, y = y, colour = group)) +
geom_point(position = position_jitter(w = 0.04, h = 0.02), size = 1.8)
p2 <- ggplot(df2, aes(x = x, y = y, colour = group)) +
geom_point(position = position_jitter(w = 0.04, h = 0.02), size = 1.8)
combined <- p1 + p2 & theme(legend.position = "bottom")
combined + plot_layout(guides = "collect")
由reprex package(v0.2.1)于2019-12-13创建