我正在用R绘制一个饼图。
我希望我的标签位于图表上,因此我使用textposition = "inside"
,对于非常小的切片,这些值不可见。
我试图找到一种方法来排除这些标签。
理想情况下,我想不要在我的情节上打印低于10%的任何标签。
设置textposition = "auto"
不能很好地工作,因为有很多小切片,它使图形看起来非常混乱。
有办法吗?
例如来自plotly网站(https://plot.ly/r/pie-charts/)
的这些饼图library(plotly)
library(dplyr)
cut <- diamonds %>%
group_by(cut) %>%
summarize(count = n())
color <- diamonds %>%
group_by(color) %>%
summarize(count = n())
clarity <- diamonds %>%
group_by(clarity) %>%
summarize(count = n())
plot_ly(cut, labels = cut, values = count, type = "pie", domain = list(x = c(0, 0.4), y = c(0.4, 1)),
name = "Cut", showlegend = F) %>%
add_trace(data = color, labels = color, values = count, type = "pie", domain = list(x = c(0.6, 1), y = c(0.4, 1)),
name = "Color", showlegend = F) %>%
add_trace(data = clarity, labels = clarity, values = count, type = "pie", domain = list(x = c(0.25, 0.75), y = c(0, 0.6)),
name = "Clarity", showlegend = F) %>%
layout(title = "Pie Charts with Subplots")
在Clarity的情节中,1.37%不在情节之内,而我希望它们根本不显示。
答案 0 :(得分:3)
您必须手动指定扇区标签:
# Sample data
df <- data.frame(category = LETTERS[1:10],
value = sample(1:50, size = 10))
# Create sector labels
pct <- round(df$value/sum(df$value),2)
pct[pct<0.1] <- 0 # Anything less than 10% should be blank
pct <- paste0(pct*100, "%")
pct[grep("0%", pct)] <- ""
# Install devtools
install.packages("devtools")
# Install latest version of plotly from github
devtools::install_github("ropensci/plotly")
# Plot
library(plotly)
plot_ly(df,
labels = ~category, # Note formula since plotly 4.0
values = ~value, # Note formula since plotly 4.0
type = "pie",
text = pct, # Manually specify sector labels
textposition = "inside",
textinfo = "text" # Ensure plotly only shows our labels and nothing else
)
查看https://plot.ly/r/reference/#pie了解详情......