ggplot饼图选择轴刻度

Posted 2023-02-16

【中文标题】ggplot饼图选择轴刻度

【英文标题】：ggplot pie chart choose axes ticks

【发布时间】：2018-02-09 11:13:06

【问题描述】：

我想知道是否可以用 ggplot 饼图修改 x 轴的刻度。

我能做什么：

# Some colors
couleurs <- data.frame(
id=seq(1,17,1),
mix=c(c(rep(1,6),rep(2,7),rep(3,4))),
html=c("#A00020","#109618","#388EE4","#C484D1","#FFAA33","#CCCDD0","#004AC5","#F80094","#CB5023","#638995","#33CFCF","#95DC4E","#F7D633","#5C403C","#F72020","#00D96C","#FDE4C5")
)
couleurs$html <- factor(couleurs$html, levels = couleurs$html[order(couleurs$id, decreasing = FALSE)])

# Data
activite <- data.frame(label=c("B to B","B to C","B to B / B to C", "B to B"), cible=c(rep("Externe",3), "Interne"), nb=c(12,9,3,12))
activite$label <- factor(activite$label, levels = activite$label[order(activite$nb[activite$cible=="Externe"], decreasing = TRUE)])
library(plyr)
activite<-ddply(activite,.(cible),transform,pc=(nb/sum(nb))*100)
activite

# Pie chart
library(ggplot2)
ggplot(data = activite, aes(x = "", y = nb, fill = label )) +
geom_bar(stat = "identity", position = position_fill(), width = 1) +
coord_polar(theta= "y", start = 0, direction = -1) +
labs(fill="") +
scale_fill_manual(values=as.character(couleurs$html[1:nrow(activite)]), labels=paste(activite$label,"\t\t\t",sep="")) +
geom_text(aes(label = paste(pc,"%", sep=" ")), size=4, colour = "white", fontface = "bold", position = position_fill(vjust = 0.5)) +
theme(strip.text = element_text(size=20, face = "bold", ), strip.background = element_rect(fill="grey75")) +
theme(panel.background = element_rect(fill = "white")) +
theme(plot.background = element_rect(fill = "grey92")) +
theme(legend.position="bottom", legend.background = element_rect(fill="grey92")) +
theme(legend.key = element_blank()) +
theme(panel.grid.minor = element_blank(), panel.grid.major = element_line(colour = "grey75")) +
theme(axis.text.y = element_blank()) +
theme(axis.ticks.length = unit(0, "mm")) +
theme(axis.title.x = element_blank(),axis.title.y = element_blank()) +
theme(legend.box.spacing = unit(1, "mm")) +
facet_wrap(~ cible)

这是我的结果：

经过几个小时的搜索，我没有找到创建我想要的东西的解决方案。完全相同的饼图，但带有类似的个性化刻度：

在这些特定条件下： - 不要改变饼图中数据的方向，我想要它就像这样 - 如果可能（但如果不可能，没关系），我希望刻度的标签不与轴重叠。

如果有人可以帮助我，我将不胜感激。

【参考方案1】：

这里有一个解决方案：

ggplot(data = activite %>%
         group_by(cible) %>%
         arrange(desc(nb)) %>%
         mutate(axis.label = cumsum(nb),
                axis.position = cumsum(pc)/100) %>%
         mutate(axis.label = ifelse(pc == min(pc),
                                    paste(axis.label, "0", sep = "-"),
                                    axis.label)), 
       aes(x = 1, y = nb, fill = label )) +
  geom_segment(aes(x = 1, xend = 1.6, y = axis.position, yend = axis.position),
               colour = "grey75") +
  geom_vline(xintercept = 1.6, colour = "grey75") +
  geom_bar(stat = "identity", position = position_fill(reverse = T), width = 1) +
  coord_polar(theta= "y", start = 0, direction = 1) +
  labs(fill="") +
  scale_fill_manual(values=as.character(couleurs$html[1:nrow(activite)]), labels=paste(activite$label,"\t\t\t",sep="")) +
  geom_text(aes(label = paste(pc,"%", sep=" ")), size=4, colour = "white", 
            fontface = "bold", position = position_fill(vjust = 0.5, reverse = T)) +
  geom_text(aes(x = 1.7, label = axis.label), size = 3,
            position = position_fill(reverse = T)) +
  theme(strip.text = element_text(size=20, face = "bold", ), strip.background = element_rect(fill="grey75")) +
  theme(panel.background = element_rect(fill = "white")) +
  theme(plot.background = element_rect(fill = "grey92")) +
  theme(legend.position="bottom", legend.background = element_rect(fill="grey92")) +
  theme(legend.key = element_blank()) +
  theme(panel.grid = element_blank()) +
  theme(axis.text = element_blank()) +
  theme(axis.ticks = element_blank()) +
  theme(axis.title = element_blank()) +
  theme(legend.box.spacing = unit(1, "mm")) +
  facet_wrap(~ cible)

解释：

标签中的顺序是顺时针方向，而极坐标方向是逆时针方向。这使得标签相当麻烦。我切换了极坐标的方向，并在几何图形的位置调整调用中添加了reverse = T。

很难为同一图的不同方面分配不同的轴中断，所以我没有。相反，我修改了数据以包含计算的轴标签/边距位置，通过geom_segment / geom_vline 添加边距，并在theme() 中隐藏轴文本/刻度。

【讨论】：

太棒了！非常感谢 ！我自己永远无法做到这一点。