部署在R Plotly的子圖

如果有人能告訴我如何指定域佈局來獲得幾列相同大小的餅圖，我將不勝感激。我已經找到了這個例子，但是，我不知道域選項的每個參數意味着什麼，以及如何調整它們的大小並正確部署，文檔中沒有很多信息。部署在R Plotly的子圖

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。

來源

2017-09-02 Mateusz Stefański

的可能的複製[Plotly域變量說明（多個圖）]（https://stackoverflow.com/questions/42637341/plotly-domain-variable-explained-multiple-graphs） –

domain指定了子圖所在的完整圖的相對範圍。範圍從0到1，0是最低/最左邊的部分。

在你的情況，如果你想有三列，則需要域的x部分將是一個滑動窗口（(0, 0.3), (0.35, 0.65), (0.7, 1)）和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))

來源

2017-09-03 10:58:48

部署在R Plotly的子圖

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