在R Plotly中部署的子图

Question

如果有人能告诉我如何指定，我将不胜感激 域布局以在几列中获得相同大小的饼图。 我已经找到了这个例子，但是，我不知道域选项的每个参数是什么意思，如何调整它们并正确部署，文档中的信息不多。

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))

谢谢。

Answer 1

x指定子图所在的完整图的相对范围。范围从0到1，0是最低/最左边的部分。

在您的情况下，如果您想要有三列，则需要域的(0, 0.3), (0.35, 0.65), (0.7, 1)部分是滑动窗口（y），而(0, 1)部分将是常量（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)) ）。

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