在R Plotly中部署的子圖

Question

如果有人能告訴我如何指定域布局以在幾列中獲得相同大小的餅圖，我將不勝感激。 我已經找到了這個示例，但是，我不知道domain option的每個參數的含義以及如何調整它們的大小並正確部署，文檔中沒有太多信息。

plot_ly() %>%
  add_pie(data = count(diamonds, cut), labels = ~cut, values = ~n,
          name = "Cut",domain = list(x = c(0.4, 0.9), y = c(0.4, 1)),hole = 0.6) %>%
  add_pie(data = count(diamonds, color), labels = ~cut, values = ~n,
          name = "Color", domain = list(x = c(0.4, 0.4), y = c(0.4, 1)),hole = 0.6) %>%
  add_pie(data = count(diamonds, clarity), labels = ~cut, values = ~n,
          name = "Clarity", domain = list(x = c(0.4, 0.001), y = c(0.4, 1)),hole = 0.6) %>%
  layout( showlegend = F,autosize=TRUE,
         xaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE),
         yaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE))

謝謝。

Answer 1

domain指定子圖所在的完整圖的相對范圍。 范圍是0到1，0是最低/最左部分。

在您的情況下，如果要具有三列，則需要將域的x部分設置為滑動窗口（ (0, 0.3), (0.35, 0.65), (0.7, 1) ），而y部分將是常數（ (0, 1) ）。

library (plotly)
library(magrittr)
library(dplyr)
plot_ly() %>%
  add_pie(data = count(diamonds, cut), labels = ~cut, values = ~n,
          name = "Cut",domain = list(x = c(0.0, 0.30), y = c(0, 1)),hole = 0.6) %>%
  add_pie(data = count(diamonds, color), labels = ~cut, values = ~n,
          name = "Color", domain = list(x = c(0.35, 0.65), y = c(0, 1)),hole = 0.6) %>%
  add_pie(data = count(diamonds, clarity), labels = ~cut, values = ~n,
          name = "Clarity", domain = list(x = c(0.7, 1), y = c(0, 1)),hole = 0.6) %>%
  layout( showlegend = F,autosize=TRUE,
          xaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE),
          yaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE))