向图节点添加标签

Question

我使用“visnetwork”库制作了下图：

library(tidyverse)
library(igraph)


set.seed(123)
n=15
data = data.frame(tibble(d = paste(1:n)))

relations = data.frame(tibble(
  from = sample(data$d),
  to = lead(from, default=from[1]),
))

data$name = c("new york", "chicago", "los angeles", "orlando", "houston", "seattle", "washington", "baltimore", "atlanta", "las vegas", "oakland", "phoenix", "kansas", "miami", "newark" )

graph = graph_from_data_frame(relations, directed=T, vertices = data) 


 #red circle: starting point and final point
V(graph)$color <- ifelse(data$d == relations$from[1], "red", "orange")

plot(graph, layout=layout.circle, edge.arrow.size = 0.2, main = "my_graph")

library(visNetwork)

    a = visIgraph(graph)  

m_1 = 1
m_2 = 23.6

 a = toVisNetworkData(graph) %>%
    c(., list(main = paste0("Trip ", m_1, " : "), submain = paste0 (m_2, "KM") )) %>%
    do.call(visNetwork, .) %>%
    visIgraphLayout(layout = "layout_in_circle") %>% 
    visEdges(arrows = 'to')

我现在正在尝试根据它们出现的顺序为每个单独的节点添加数字标签（即“红色圆圈”始终为 1，跟随箭头直到到达 2，等等）：

我试图在数据文件中添加一个额外的列来包含这些数字（每个“数字标签”对应于访问城市的顺序）：

#is there an "automatic" way to do this? i did this manually:
data$label = c(11, 5, 2, 12, 7, 6, 10, 14, 15, 4, 12, 9, 13, 3,1)

然后我尝试将“数字标签”和“名称标签”（即城市）添加到 visnetwork 图中的节点：

V(graph)$name = data$label = c(11, 5, 2, 12, 7, 6, 10, 14, 15, 4, 12, 9, 13, 3,1)

plot(graph, layout=layout.circle, edge.arrow.size = 0.2, main = "my_graph")

library(visNetwork)

    a = visIgraph(graph)  

m_1 = 1
m_2 = 23.6

 a = toVisNetworkData(graph) %>%
    c(., list(main = paste0("Trip ", m_1, " : "), submain = paste0 (m_2, "KM") )) %>%
    do.call(visNetwork, .) %>%
    visIgraphLayout(layout = "layout_in_circle") %>% 
    visEdges(arrows = 'to') 

a

但是它给我一个错误：

Error in `.rowNamesDF<-`(x, value = value) : 
  duplicate 'row.names' are not allowed
In addition: Warning message:
non-unique value when setting 'row.names': ‘12’

最后还是想做这个图（使用visnetwork）：

还有其他方法吗？

谢谢！

Answer 1

错误原因是没有8，有2个12

sort(c(11, 5, 2, 12, 7, 6, 10, 14, 15, 4, 12, 9, 13, 3, 1))
# [1]  1  2  3  4  5  6  7  9 10 11 12 12 13 14 15
# missing 8, two 12

动态获取订单--（这使用您在上面的代码中创建的第一个 a 对象）

library(tidyverse)

# collect the correct order

df2 <- data %>% 
  mutate(d = as.numeric(d),
         nuname = factor(a$x$edges$from, 
                         levels = unlist(data$name))) %>%
  arrange(nuname) %>% 
  select(d) %>% unlist(use.names = F)
#  [1] 11  5  2  8  7  6 10 14 15  4 12  9 13  3  1

如果您在此处编写代码时设置标签，则会覆盖您当前拥有的标签。

有几种选择：保持原样、组合标签或您知道我不知道的东西。

使用这些值和您的代码：

V(graph)$name = data$label = df2

给你：

要合并标签，您可以：

V(graph)$name = data$label = paste0(df2, "\n", data$name)

这给你：

Answer 2

在我看来，您的代码过于复杂，让人难以理解您的方法的整体逻辑。所以我试着减轻一点并更好地组织它。

请在下面找到生成您想要的图形所需的完整代码。

注意：按照惯例，我们在描述 graph 时通常使用术语 'nodes' 和 'edges'。这也有助于使代码更易于阅读。所以我用 'nodes' 来引用你的 'data' 数据集，用 'edges' 来引用你的 'relations' 数据集。

Reprex

构建图表的代码

library(dplyr)
library(igraph)

set.seed(123)
n=15

# Build the dataframe of 'nodes'
nodes <- data.frame(d = 1:n,
                    name = c("new york", "chicago", "los angeles", "orlando", "houston", 
                             "seattle", "washington", "baltimore", "atlanta", "las vegas", 
                             "oakland", "phoenix", "kansas", "miami", "newark"))

# Build the dataframe of 'edges'
edges <- data.frame(from = sample(nodes$d)) %>% 
                      mutate(to = lead(from, default = from[1]))

# Build the graph
graph <- graph_from_data_frame(edges, directed = TRUE, vertices = nodes) %>% 
  set_vertex_attr("name", 
                  index = V(.), 
                  paste0(order(as.numeric(edges$from)), "\n", nodes$name)) %>% 
  set_vertex_attr("color",
                  index = V(.),
                  ifelse(nodes$d == edges$from[1], "red", "orange"))

可视化图表的代码

library(visNetwork)

m_1 <- 1
m_2 <- 23.6

a <- toVisNetworkData(graph) %>%
  c(., list(main = paste0("Trip ", m_1, " : "), submain = paste0 (m_2, "KM") )) %>%
  do.call(visNetwork, .) %>%
  visIgraphLayout(layout = "layout_in_circle") %>% 
  visEdges(arrows = 'to') 
a

^{由 reprex package (v2.0.1)}

创建于 2022-03-01

向图节点添加标签

Adding Labels to Graph Nodes

label

r

data-visualization

graph

igraph