我希望在地图上获得这种渐变颜色:

I am looking to get this gradient colors on the map:

ramp <- colorRamp(c("royalblue4", "white"))
ramp.list <- rgb( ramp(seq(0, 1, length = 15)), max = 255)

而且，更重要的是，我希望在图表中添加情节特征(特别是悬停文本输出).这是我的数据:

But also, and more important, I am looking to add plotly charactheristics to the graph (specially hovering text output). This is my data:

structure(list(V1 = structure(c(9L, 8L, 4L, 7L, 2L, 6L, 1L, 3L, 
5L, 10L, 13L, 11L, 12L), .Label = c("Apple", "Avocado", "Banana", 
"Carrot", "Mango", "Mushroom", "Onion", "Orange", "Pineapple", 
"Strawberry", "Sweet-lemon", "Watermelon", "Wildberry"), class = "factor"), 
    V2 = structure(c(4L, 3L, 9L, 11L, 12L, 2L, 1L, 6L, 10L, 5L, 
    7L, 8L, 1L), .Label = c("23", "24", "36", "42", "43", "46", 
    "48", "52", "56", "61", "82", "94"), class = "factor")), class = "data.frame", row.names = c(NA, 
-13L))

这是我尝试过的:

library(ggplot2)
library(plotly)

ramp <- colorRamp(c("royalblue4", "white"))
ramp.list <- rgb( ramp(seq(0, 1, length = 15)), max = 255)
g <- ggplot(dtd7, aes(area = n, fill = topic, label = as.character(topic))) +
  geom_treemap()+
  geom_treemap_text(fontface = "italic", colour = "white", place = "centre")  +
  theme(legend.position = "none") 

ggplotly(p)

推荐答案

使用树形图跟踪可以显示分层数据集.

Using treemap traces you can display hierarchical datasets.

因此，您的代码片段来自评论 plot_ly(dtd7, ids = ~topic, values = ~n, parents = ~topic, type = 'treemap') 的问题是，你是将相同的数据分配给 ids 和 parents.

Accordingly the problem with your code snippet from the comments plot_ly(dtd7, ids = ~topic, values = ~n, parents = ~topic, type = 'treemap') is, that you are assigning the same data to ids and parents.

请检查以下内容:

library(plotly)

dtd7 <- structure(
  list(
    topic = structure(
      c(9L, 8L, 4L, 7L, 2L, 6L, 1L, 3L,
        5L, 10L, 13L, 11L, 12L),
      .Label = c("Apple", "Avocado", "Banana", "Carrot", "Mango","Mushroom", "Onion", "Orange", "Pineapple", "Strawberry", "Sweet-lemon", "Watermelon", "Wildberry"),
      class = "factor"
    ),
    n = structure(
      c(4L, 3L, 9L, 11L, 12L, 2L, 1L, 6L, 10L, 5L,
        7L, 8L, 1L),
      .Label = c("23", "24", "36", "42", "43", "46", "48", "52", "56", "61", "82", "94"),
      class = "factor"
    )
  ),
  class = "data.frame",
  row.names = c(NA,-13L)
)

p <- plot_ly(
  dtd7,
  labels = ~ topic,
  parents = NA,
  values = ~ n,
  type = 'treemap',
  hovertemplate = "Ingredient: %{label}<br>Count: %{value}<extra></extra>"
)

p