在 R 中排列 4 个 plotly 饼图

Question

我有四个单独的饼图，它们都具有相同的指定配色方案（除了数据框之外，代码是相同的）。

指定颜色是因为我想将它们组合在 4 个网格图中，并使用一个图例为 5 组中的每一组使用相同的指定颜色（即，当未指定颜色时，颜色会自动分配关于组的大小）。

示例数据：

# Data
g = c("D","L","X","A","N","B")
v = c(49,14,9,7,6,5)

df1 = data.frame(group = g, value = v)
set.seed(9) # Just for reproductibility
df2 = data.frame(group = sample(g,size = nrow(df1),replace = F),
                 value = sample(v,size = nrow(df1),replace = F)
                 )

set.seed(8) 
df3 = data.frame(group = sample(g,size = nrow(df1),replace = F),
                 value = sample(v,size = nrow(df1),replace = F)
)

set.seed(7)
df4 = data.frame(group = sample(g,size = nrow(df1),replace = F),
                 value = sample(v,size = nrow(df1),replace = F)
)

代码：

BC <- 

       plot_ly(b_c, labels = ~group, values = ~value, marker = list(colors = c(  '#2ca02c',  '#d62728','#9467bd', '#FF7F0E', '#1F77B4')), type = 'pie',textposition = 'outside',textinfo = 'label+percent') %>%
       layout(title = 'b_c',autosize = F, width = 690, height = 690, margin = m,
              xaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE),
              yaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE))
     BC

我已经查看了这些帖子，但无法确定从这些帖子中梳理情节的答案。

Plotting multiple pie charts in plotly

我正在寻找类似于 ggplot 中的 ggarrange 的东西

我有四组数据，其中一些具有相同的组（即相同的行名）。对于这些，我想使用相同的颜色。

我不太介意配色方案（即可以是任何颜色），但希望所有 4 个饼图都有一个统一的颜色图例。

Answer 1

嗨@sar 看看它是否解决了你的问题：

library(plotly)
library(dplyr)

# Data
g = c("D","L","X","A","N","B")
v = c(49,14,9,7,6,5)

df1 = data.frame(group = g, value = v)
set.seed(9) # Just for reproductibility
df2 = data.frame(group = sample(g,size = nrow(df1),replace = F),
                 value = sample(v,size = nrow(df1),replace = F)
                 )

set.seed(8) 
df3 = data.frame(group = sample(g,size = nrow(df1),replace = F),
                 value = sample(v,size = nrow(df1),replace = F)
)

set.seed(7)
df4 = data.frame(group = sample(g,size = nrow(df1),replace = F),
                 value = sample(v,size = nrow(df1),replace = F)
)


#Plot

plot_ly(labels = ~group, values = ~value, legendgroup = ~group,
        textposition = 'outside',textinfo = 'label+percent') %>%
  add_pie(data = df1, name = "DF1", domain = list(row = 0, column = 0))%>%
  add_pie(data = df2, name = "DF2", domain = list(row = 0, column = 1))%>%
  add_pie(data = df3, name = "DF3", domain = list(row = 1, column = 0))%>%
  add_pie(data = df4, name = "DF4", domain = list(row = 1, column = 1))%>%
  layout(title = "Pie Charts in Grid", showlegend = T,
         grid=list(rows=2, columns=2),
         xaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE),
         yaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE))

输出：

编辑 1： 要为每个饼图显示 "subtitles"，您可以使用 annotations, you can also change the the legend 位置。 annotations 的缺点是你必须指定位置（在这种情况下是手动的）。

为避免重叠，我建议删除 textposition = 'outside'。

您可以使用绘图右上角的按钮将绘图下载为 .png。

#Plot

plot_ly(labels = ~group, values = ~value, legendgroup = ~group, 
        textinfo = 'label+percent') %>%
  add_pie(data = df1, name = "DF1", domain = list(row = 0, column = 0))%>%
  add_pie(data = df2, name = "DF2", domain = list(row = 0, column = 1))%>%
  add_pie(data = df3, name = "DF3", domain = list(row = 1, column = 0))%>%
  add_pie(data = df4, name = "DF4", domain = list(row = 1, column = 1))%>%
  layout(title = "Pie Charts in Grid", showlegend = T,
         grid=list(rows=2, columns=2),
         xaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE),
         yaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE),
         legend = list(y = 0.5),
         annotations = list(x = c(.08, .62, .08, .62),
                            y = c(.78, .78, .22, .22),
                            text = c("Pie 1","Pie 2","Pie 3","Pie 4"),
                            xref = "papper",
                            yref = "papper",
                            showarrow = F
                          )
         )

新的输出是：

编辑2： 在 font or text font.

中查看

您可以使用 template.

随意更改文本和悬停文本

这里的编辑建议去掉标签以获得更多 space 百分比和四舍五入到 1 位小数的百分比：

#Plot

plot_ly(labels = ~group, values = ~value, legendgroup = ~group, textinfo = 'label+percent',
        texttemplate = "%{percent:.1%}",
        hovertemplate = "%{label} <br> %{percent:.1%} <br> %{value}") %>%
  add_pie(data = df1, name = "DF1", domain = list(row = 0, column = 0))%>%
  add_pie(data = df2, name = "DF2", domain = list(row = 0, column = 1))%>%
  add_pie(data = df3, name = "DF3", domain = list(row = 1, column = 0))%>%
  add_pie(data = df4, name = "DF4", domain = list(row = 1, column = 1))%>%
  layout(title = "Pie Charts in Grid", showlegend = T,
         grid=list(rows=2, columns=2),
         xaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE),
         yaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE),
         legend = list(y = 0.5),
         annotations = list(x = c(.08, .62, .08, .62),
                            y = c(.78, .78, .22, .22),
                            text = c("Pie 1","Pie 2","Pie 3","Pie 4"),
                            xref = "papper",
                            yref = "papper",
                            showarrow = F
                          )
         )

新输出：

在 R 中排列 4 个 plotly 饼图

Arrange 4 plotly pie graphs in R

r

legend

ggplot2

pie-chart

plotly