ggplot2馅饼和甜甜圈图表在同一个地块上
Tav*_*avi 30 r ggplot2 pie-chart donut-chart
我想复制这个 
与R ggplot.我有完全相同的数据:
browsers<-structure(list(browser = structure(c(3L, 3L, 3L, 3L, 2L, 2L,
2L, 1L, 5L, 5L, 4L), .Label = c("Chrome", "Firefox", "MSIE",
"Opera", "Safari"), class = "factor"), version = structure(c(5L,
6L, 7L, 8L, 2L, 3L, 4L, 1L, 10L, 11L, 9L), .Label = c("Chrome 10.0",
"Firefox 3.5", "Firefox 3.6", "Firefox 4.0", "MSIE 6.0", "MSIE 7.0",
"MSIE 8.0", "MSIE 9.0", "Opera 11.x", "Safari 4.0", "Safari 5.0"
), class = "factor"), share = c(10.85, 7.35, 33.06, 2.81, 1.58,
13.12, 5.43, 9.91, 1.42, 4.55, 1.65), ymax = c(10.85, 18.2, 51.26,
54.07, 55.65, 68.77, 74.2, 84.11, 85.53, 90.08, 91.73), ymin = c(0,
10.85, 18.2, 51.26, 54.07, 55.65, 68.77, 74.2, 84.11, 85.53,
90.08)), .Names = c("browser", "version", "share", "ymax", "ymin"
), row.names = c(NA, -11L), class = "data.frame")
它看起来像这样:
> browsers
browser version share ymax ymin
1 MSIE MSIE 6.0 10.85 10.85 0.00
2 MSIE MSIE 7.0 7.35 18.20 10.85
3 MSIE MSIE 8.0 33.06 51.26 18.20
4 MSIE MSIE 9.0 2.81 54.07 51.26
5 Firefox Firefox 3.5 1.58 55.65 54.07
6 Firefox Firefox 3.6 13.12 68.77 55.65
7 Firefox Firefox 4.0 5.43 74.20 68.77
8 Chrome Chrome 10.0 9.91 84.11 74.20
9 Safari Safari 4.0 1.42 85.53 84.11
10 Safari Safari 5.0 4.55 90.08 85.53
11 Opera Opera 11.x 1.65 91.73 90.08
到目前为止,我已经绘制了各个组件(即版本的圆环图和浏览器的饼图),如下所示:
ggplot(browsers) + geom_rect(aes(fill=version, ymax=ymax, ymin=ymin, xmax=4, xmin=3)) +
coord_polar(theta="y") + xlim(c(0, 4))
ggplot(browsers) + geom_bar(aes(x = factor(1), fill = browser),width = 1) +
coord_polar(theta="y")
问题是,如何将两者结合起来看起来像最顶层的图像？我尝试了很多方法,例如:
ggplot(browsers) + geom_rect(aes(fill=version, ymax=ymax, ymin=ymin, xmax=4, xmin=3)) + geom_bar(aes(x = factor(1), fill = browser),width = 1) + coord_polar(theta="y") + xlim(c(0, 4))
但我的所有结果都是扭曲的或以错误消息结束.
raw*_*awr 32
编辑2
我原来的答案真是愚蠢.这是一个更短的版本,它使用更简单的界面完成大部分工作.
#' x numeric vector for each slice
#' group vector identifying the group for each slice
#' labels vector of labels for individual slices
#' col colors for each group
#' radius radius for inner and outer pie (usually in [0,1])
donuts <- function(x, group = 1, labels = NA, col = NULL, radius = c(.7, 1)) {
group <- rep_len(group, length(x))
ug <- unique(group)
tbl <- table(group)[order(ug)]
col <- if (is.null(col))
seq_along(ug) else rep_len(col, length(ug))
col.main <- Map(rep, col[seq_along(tbl)], tbl)
col.sub <- lapply(col.main, function(x) {
al <- head(seq(0, 1, length.out = length(x) + 2L)[-1L], -1L)
Vectorize(adjustcolor)(x, alpha.f = al)
})
plot.new()
par(new = TRUE)
pie(x, border = NA, radius = radius[2L],
col = unlist(col.sub), labels = labels)
par(new = TRUE)
pie(x, border = NA, radius = radius[1L],
col = unlist(col.main), labels = NA)
}
par(mfrow = c(1,2), mar = c(0,4,0,4))
with(browsers,
donuts(share, browser, sprintf('%s: %s%%', version, share),
col = c('cyan2','red','orange','green','dodgerblue2'))
)
with(mtcars,
donuts(mpg, interaction(gear, cyl), rownames(mtcars))
)
原帖
你们没有givemedonutsorgivemedeath功能吗？基本图形始终是这种非常详细的方式.但是想不出一个优雅的方式来绘制中心派标签.
givemedonutsorgivemedeath('~/desktop/donuts.pdf')
给我
请注意,在?pie你看来
Pie charts are a very bad way of displaying information.
码:
browsers <- structure(list(browser = structure(c(3L, 3L, 3L, 3L, 2L, 2L,
2L, 1L, 5L, 5L, 4L), .Label = c("Chrome", "Firefox", "MSIE",
"Opera", "Safari"), class = "factor"), version = structure(c(5L,
6L, 7L, 8L, 2L, 3L, 4L, 1L, 10L, 11L, 9L), .Label = c("Chrome 10.0",
"Firefox 3.5", "Firefox 3.6", "Firefox 4.0", "MSIE 6.0", "MSIE 7.0",
"MSIE 8.0", "MSIE 9.0", "Opera 11.x", "Safari 4.0", "Safari 5.0"),
class = "factor"), share = c(10.85, 7.35, 33.06, 2.81, 1.58,
13.12, 5.43, 9.91, 1.42, 4.55, 1.65), ymax = c(10.85, 18.2, 51.26,
54.07, 55.65, 68.77, 74.2, 84.11, 85.53, 90.08, 91.73), ymin = c(0,
10.85, 18.2, 51.26, 54.07, 55.65, 68.77, 74.2, 84.11, 85.53,
90.08)), .Names = c("browser", "version", "share", "ymax", "ymin"),
row.names = c(NA, -11L), class = "data.frame")
browsers$total <- with(browsers, ave(share, browser, FUN = sum))
givemedonutsorgivemedeath <- function(file, width = 15, height = 11) {
## house keeping
if (missing(file)) file <- getwd()
plot.new(); op <- par(no.readonly = TRUE); on.exit(par(op))
pdf(file, width = width, height = height, bg = 'snow')
## useful values and colors to work with
## each group will have a specific color
## each subgroup will have a specific shade of that color
nr <- nrow(browsers)
width <- max(sqrt(browsers$share)) / 0.8
tbl <- with(browsers, table(browser)[order(unique(browser))])
cols <- c('cyan2','red','orange','green','dodgerblue2')
cols <- unlist(Map(rep, cols, tbl))
## loop creates pie slices
plot.new()
par(omi = c(0.5,0.5,0.75,0.5), mai = c(0.1,0.1,0.1,0.1), las = 1)
for (i in 1:nr) {
par(new = TRUE)
## create color/shades
rgb <- col2rgb(cols[i])
f0 <- rep(NA, nr)
f0[i] <- rgb(rgb[1], rgb[2], rgb[3], 190 / sequence(tbl)[i], maxColorValue = 255)
## stick labels on the outermost section
lab <- with(browsers, sprintf('%s: %s', version, share))
if (with(browsers, share[i] == max(share))) {
lab0 <- lab
} else lab0 <- NA
## plot the outside pie and shades of subgroups
pie(browsers$share, border = NA, radius = 5 / width, col = f0,
labels = lab0, cex = 1.8)
## repeat above for the main groups
par(new = TRUE)
rgb <- col2rgb(cols[i])
f0[i] <- rgb(rgb[1], rgb[2], rgb[3], maxColorValue = 255)
pie(browsers$share, border = NA, radius = 4 / width, col = f0, labels = NA)
}
## extra labels on graph
## center labels, guess and check?
text(x = c(-.05, -.05, 0.15, .25, .3), y = c(.08, -.12, -.15, -.08, -.02),
labels = unique(browsers$browser), col = 'white', cex = 1.2)
mtext('Browser market share, April 2011', side = 3, line = -1, adj = 0,
cex = 3.5, outer = TRUE)
mtext('stackoverflow.com:::maryam', side = 3, line = -3.6, adj = 0,
cex = 1.75, outer = TRUE, font = 3)
mtext('/questions/26748069/ggplot2-pie-and-donut-chart-on-same-plot',
side = 1, line = 0, adj = 1.0, cex = 1.2, outer = TRUE, font = 3)
dev.off()
}
givemedonutsorgivemedeath('~/desktop/donuts.pdf')
编辑1
width <- 5
tbl <- table(browsers$browser)[order(unique(browsers$browser))]
col.main <- Map(rep, seq_along(tbl), tbl)
col.sub <- lapply(col.main, function(x)
Vectorize(adjustcolor)(x, alpha.f = seq_along(x) / length(x)))
plot.new()
par(new = TRUE)
pie(browsers$share, border = NA, radius = 5 / width,
col = unlist(col.sub), labels = browsers$version)
par(new = TRUE)
pie(browsers$share, border = NA, radius = 4 / width,
col = unlist(col.main), labels = NA)
- @ user890739添加了一个看起来相当普遍的功能,让我知道这是否更好,谢谢你的点击 (2认同)
use*_*377 22
我发现首先在直角坐标上工作更容易,当这是正确的,然后切换到极坐标.x坐标变为极坐标的半径.因此,在直角坐标中,内部图从零到数字,如3,外带从3到4.
例如
ggplot(browsers) +
geom_rect(aes(fill=version, ymax=ymax, ymin=ymin, xmax=4, xmin=3)) +
geom_rect(aes(fill=browser, ymax=ymax, ymin=ymin, xmax=3, xmin=0)) +
xlim(c(0, 4)) +
theme(aspect.ratio=1)
然后,当你切换到极地时,你会得到类似你想要的东西.
ggplot(browsers) +
geom_rect(aes(fill=version, ymax=ymax, ymin=ymin, xmax=4, xmin=3)) +
geom_rect(aes(fill=browser, ymax=ymax, ymin=ymin, xmax=3, xmin=0)) +
xlim(c(0, 4)) +
theme(aspect.ratio=1) +
coord_polar(theta="y")
这是一个开始,但可能需要微调对y(或角度)的依赖性,并且还要计算标签/图例/着色...通过对内圈和外圈使用rect,这应该简化调整着色.此外,使用reshape2 :: melt函数重新组织数据以便通过使用组(或颜色)使图例变得正确是有用的.
- 有关此想法的更多信息,请参见http://vita.had.co.nz/papers/prodplots.html (3认同)
小智 7
我创建了一个通用的甜甜圈绘图功能,可以做到这一点
- 绘制环形图,即绘制饼图,
panel并按给定的百分比pctr和列来着色每个圆形扇区colors.环宽度可通过被调谐outradius>radius>innerradius. - 将几个环形图叠加在一起.
主要功能实际绘制条形图并将其弯曲成环形,因此它是饼图和条形图之间的东西.
饼图示例,两个环:
浏览器饼图
donuts_plot <- function(
panel = runif(3), # counts
pctr = c(.5,.2,.9), # percentage in count
legend.label='',
cols = c('chartreuse', 'chocolate','deepskyblue'), # colors
outradius = 1, # outter radius
radius = .7, # 1-width of the donus
add = F,
innerradius = .5, # innerradius, if innerradius==innerradius then no suggest line
legend = F,
pilabels=F,
legend_offset=.25, # non-negative number, legend right position control
borderlit=c(T,F,T,T)
){
par(new=add)
if(sum(legend.label=='')>=1) legend.label=paste("Series",1:length(pctr))
if(pilabels){
pie(panel, col=cols,border = borderlit[1],labels = legend.label,radius = outradius)
}
panel = panel/sum(panel)
pctr2= panel*(1 - pctr)
pctr3 = c(pctr,pctr)
pctr_indx=2*(1:length(pctr))
pctr3[pctr_indx]=pctr2
pctr3[-pctr_indx]=panel*pctr
cols_fill = c(cols,cols)
cols_fill[pctr_indx]='white'
cols_fill[-pctr_indx]=cols
par(new=TRUE)
pie(pctr3, col=cols_fill,border = borderlit[2],labels = '',radius = outradius)
par(new=TRUE)
pie(panel, col='white',border = borderlit[3],labels = '',radius = radius)
par(new=TRUE)
pie(1, col='white',border = borderlit[4],labels = '',radius = innerradius)
if(legend){
# par(mar=c(5.2, 4.1, 4.1, 8.2), xpd=TRUE)
legend("topright",inset=c(-legend_offset,0),legend=legend.label, pch=rep(15,'.',length(pctr)),
col=cols,bty='n')
}
par(new=FALSE)
}
## col- > subcor(change hue/alpha)
subcolors <- function(.dta,main,mainCol){
tmp_dta = cbind(.dta,1,'col')
tmp1 = unique(.dta[[main]])
for (i in 1:length(tmp1)){
tmp_dta$"col"[.dta[[main]] == tmp1[i]] = mainCol[i]
}
u <- unlist(by(tmp_dta$"1",tmp_dta[[main]],cumsum))
n <- dim(.dta)[1]
subcol=rep(rgb(0,0,0),n);
for(i in 1:n){
t1 = col2rgb(tmp_dta$col[i])/256
subcol[i]=rgb(t1[1],t1[2],t1[3],1/(1+u[i]))
}
return(subcol);
}
### Then get the plot is fairly easy:
# INPUT data
browsers <- structure(list(browser = structure(c(3L, 3L, 3L, 3L, 2L, 2L,
2L, 1L, 5L, 5L, 4L),
.Label = c("Chrome", "Firefox", "MSIE","Opera", "Safari"),class = "factor"),
version = structure(c(5L,6L, 7L, 8L, 2L, 3L, 4L, 1L, 10L, 11L, 9L),
.Label = c("Chrome 10.0", "Firefox 3.5", "Firefox 3.6", "Firefox 4.0", "MSIE 6.0",
"MSIE 7.0","MSIE 8.0", "MSIE 9.0", "Opera 11.x", "Safari 4.0", "Safari 5.0"),
class = "factor"),
share = c(10.85, 7.35, 33.06, 2.81, 1.58,13.12, 5.43, 9.91, 1.42, 4.55, 1.65),
ymax = c(10.85, 18.2, 51.26,54.07, 55.65, 68.77, 74.2, 84.11, 85.53, 90.08, 91.73),
ymin = c(0,10.85, 18.2, 51.26, 54.07, 55.65, 68.77, 74.2, 84.11, 85.53,90.08)),
.Names = c("browser", "version", "share", "ymax", "ymin"),
row.names = c(NA, -11L), class = "data.frame")
## data clean
browsers=browsers[order(browsers$browser,browsers$share),]
arr=aggregate(share~browser,browsers,sum)
### choose your cols
mainCol = c('chartreuse3', 'chocolate3','deepskyblue3','gold3','deeppink3')
donuts_plot(browsers$share,rep(1,11),browsers$version,
cols=subcolors(browsers,"browser",mainCol),
legend=F,pilabels = T,borderlit = rep(F,4) )
donuts_plot(arr$share,rep(1,5),arr$browser,
cols=mainCol,pilabels=F,legend=T,legend_offset=-.02,
outradius = .71,radius = .0,innerradius=.0,add=T,
borderlit = rep(F,4) )
###end of line
你可以使用包 ggsunburst 得到类似的东西
# using your data without "ymax" and "ymin"
browsers <- structure(list(browser = structure(c(3L, 3L, 3L, 3L, 2L, 2L,
2L, 1L, 5L, 5L, 4L), .Label = c("Chrome", "Firefox", "MSIE",
"Opera", "Safari"), class = "factor"), version = structure(c(5L,
6L, 7L, 8L, 2L, 3L, 4L, 1L, 10L, 11L, 9L), .Label = c("Chrome 10.0",
"Firefox 3.5", "Firefox 3.6", "Firefox 4.0", "MSIE 6.0", "MSIE 7.0",
"MSIE 8.0", "MSIE 9.0", "Opera 11.x", "Safari 4.0", "Safari 5.0"
), class = "factor"), share = c(10.85, 7.35, 33.06, 2.81, 1.58,
13.12, 5.43, 9.91, 1.42, 4.55, 1.65)), .Names = c("parent", "node", "size")
, row.names = c(NA, -11L), class = "data.frame")
# add column browser to be used for colouring
browsers$browser <- browsers$parent
# write data.frame into csv file
write.table(browsers, file = 'browsers.csv', row.names = F, sep = ",")
# install ggsunburst
if (!require("ggplot2")) install.packages("ggplot2")
if (!require("rPython")) install.packages("rPython")
install.packages("http://genome.crg.es/~didac/ggsunburst/ggsunburst_0.0.9.tar.gz", repos=NULL, type="source")
library(ggsunburst)
# generate data structure
sb <- sunburst_data('browsers.csv', type = 'node_parent', sep = ",", node_attributes = c("browser","size"))
# add name as browser attribute for colouring to internal nodes
sb$rects[!sb$rects$leaf,]$browser <- sb$rects[!sb$rects$leaf,]$name
# plot adding geom_text layer for showing the "size" value
p <- sunburst(sb, rects.fill.aes = "browser", node_labels = T, node_labels.min = 15)
p + geom_text(data = sb$leaf_labels,
aes(x=x, y=0.1, label=paste(size,"%"), angle=angle, hjust=hjust), size = 2)
小智 5
PieDonut()您可以使用包中的函数仅使用一行代码来创建如下所示的饼图webr。
# loadin the libraries
library(ggplot2)
library(webr)
# replicating the table
browsers<-structure(
list(browser = structure(c(3L, 3L, 3L, 3L, 2L, 2L, 2L, 1L, 5L, 5L, 4L),
.Label = c("Chrome", "Firefox", "MSIE", "Opera", "Safari"), class = "factor"),
version = structure(c(5L, 6L, 7L, 8L, 2L, 3L, 4L, 1L, 10L, 11L, 9L),
.Label = c("Chrome 10.0", "Firefox 3.5", "Firefox 3.6", "Firefox 4.0", "MSIE 6.0", "MSIE 7.0", "MSIE 8.0", "MSIE 9.0", "Opera 11.x", "Safari 4.0", "Safari 5.0"), class = "factor"),
share = c(10.85, 7.35, 33.06, 2.81, 1.58, 13.12, 5.43, 9.91, 1.42, 4.55, 1.65),
ymax = c(10.85, 18.2, 51.26, 54.07, 55.65, 68.77, 74.2, 84.11, 85.53, 90.08, 91.73),
ymin = c(0, 10.85, 18.2, 51.26, 54.07, 55.65, 68.77, 74.2, 84.11, 85.53, 90.08)),
.Names = c("browser", "version", "share", "ymax", "ymin"), row.names = c(NA, -11L), class = "data.frame")
# building the pie-donut chart
PieDonut(browsers, aes(browser, version, count=share),
title = "Browser market share, April, 2011",
ratioByGroup = FALSE)
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