r - R：如何更改图形上点的颜色

Question

我用以下数据创建了一个图网络：

#关系数据

Data_I_Have <- data.frame(
   
    "Node_A" = c("John", "John", "John", "Peter", "Peter", "Peter", "Tim", "Kevin", "Adam", "Adam", "Xavier"),
    "Node_B" = c("Claude", "Peter", "Tim", "Tim", "Claude", "Henry", "Kevin", "Claude", "Tim", "Henry", "Claude"),
    " Place_Where_They_Met" = c("Chicago", "Boston", "Seattle", "Boston", "Paris", "Paris", "Chicago", "London", "Chicago", "London", "Paris"),
  "Years_They_Have_Known_Each_Other" = c("10", "10", "1", "5", "2", "8", "7", "10", "3", "3", "5"),
  "What_They_Have_In_Common" = c("Sports", "Movies", "Computers", "Computers", "Video Games", "Sports", "Movies", "Computers", "Sports", "Sports", "Video Games")
)

#关于个人的数据

additional_data_about_people <- data.frame(
   
    "Person" = c("John", "Peter", "Tim", "Kevin", "Adam", "Xacier", "Claude", "Henry"),
   "Job" = c("Teacher", "Lawyer", "Accountant", "Engineer", "Teacher", "Lawyer", "Engineer", "Lawyer"),
"Age" = c("50", "51", "61", "56", "65", "65", "54", "50"),
"Favorite_Food" = c("pizza", "pizza", "tacos", "pizza", "ice cream", "sushi", "sushi", "pizza")
)


library(igraph)
library(dplyr)
library(visNetwork)


graph_file <- data.frame(Data_I_Have$Node_A, Data_I_Have$Node_B)


colnames(graph_file) <- c("Data_I_Have$Node_A", "Data_I_Have$Node_B")

graph <- graph.data.frame(graph_file, directed=F)
graph <- simplify(graph)

plot(graph)

nodes <- data.frame(id = V(graph)$name, title = V(graph)$name)
nodes <- nodes[order(nodes$id, decreasing = F),]
edges <- get.data.frame(graph, what="edges")[1:2]

visNetwork(nodes, edges) %>%   visIgraphLayout(layout = "layout_with_fr") %>%
    visOptions(highlightNearest = TRUE, nodesIdSelection = TRUE)

在 visnetwork 中，有谁知道我如何将“John”的颜色更改为红色？

我知道如何在 igraph 中做到这一点：

V(graph)["John"]$color<-"red"

但是有谁知道如何在 visnetwork 中做到这一点？

谢谢

标签： rplotgraphdata-visualization

Answer 1

您可以向节点添加一color列：

nodes <- data.frame(id = V(graph)$name, title = V(graph)$name)
nodes <- nodes[order(nodes$id, decreasing = F),]

John_ind <- which(nodes$id == "John")
colours <- rep("lightblue", nrow(nodes)); colours[John_ind] <- "red"
nodes <- cbind(nodes, color = colours)
edges <- get.data.frame(graph, what="edges")[1:2]

visNetwork(nodes, edges) %>%   visIgraphLayout(layout = "layout_with_fr") %>%
  visOptions(highlightNearest = TRUE, nodesIdSelection = TRUE)

您可以相应地自定义自己的颜色。

编辑

对于您的评论，您输入了一个错误的名称（Xavier），您应该小心该color列的大小写。我们可以使用merge()或left_join来自 dplyr 包来合并基于列的数据帧。我将您的 DF 列名称更改id为名称，以便它们可以匹配。

nodes <- data.frame(id = V(graph)$name, title = V(graph)$name)
nodes <- nodes[order(nodes$id, decreasing = F),]

colors = data.frame( "id" = c("John", "Peter", "Tim", "Kevin", "Adam", "Xavier", "Claude", "Henry"), 
                     "color" = c("red", "blue", "green", "black", "red", "blue", "black", "blue") )

nodes <- merge(nodes, colors, by = "id")
edges <- get.data.frame(graph, what="edges")[1:2]

visNetwork(nodes, edges) %>%   visIgraphLayout(layout = "layout_with_fr") %>%
  visOptions(highlightNearest = TRUE, nodesIdSelection = TRUE)