如何在R googleVis sankey图表中更改节点和链接颜色

时间:2015-03-31 15:07:52

标签: r googlevis sankey-diagram

如何在R googleVis sankey图表中更改节点和链接颜色?并且链接与其始发节点具有相同的颜色?

library(googleVis)
datSK <- data.frame(From=c(rep("A",3), rep("B", 3)),
                To=c(rep(c("X", "Y", "Z"),2)),
                Weight=c(5,7,6,2,9,4))

Sankey <- gvisSankey(datSK, from="From", to="To", weight="Weight",
                 options=list(
                   sankey="{link: {color: { fill: '#d799ae' } },
                        node: { color: { fill: '#a61d4c' },
                        label: { color: '#871b47' } }}"))
plot(Sankey)

3 个答案:

答案 0 :(得分:9)

只要您必须为来自2个始发节点的链接着色,您就需要2种颜色的链接。 你总共有5个节点,所以你需要5种颜色。

让我们用JSON格式创建2个数组,其中包含节点和链接的颜色

colors_link <- c('green', 'blue')
colors_link_array <- paste0("[", paste0("'", colors_link,"'", collapse = ','), "]")

colors_node <- c('yellow', 'lightblue', 'red', 'black', 'brown')
colors_node_array <- paste0("[", paste0("'", colors_node,"'", collapse = ','), "]")

接下来,将该数组插入选项:

opts <- paste0("{
        link: { colorMode: 'source',
                colors: ", colors_link_array ," },
        node: { colors: ", colors_node_array ," }
      }" )

最后,情节图:

plot( gvisSankey(datSK, from="From", to="To", weight="Weight",
                     options=list(
                       sankey=opts)))

enter image description here

请注意,在选项中,colorMode设置为“source”,这意味着您希望为来自原始节点的链接着色。或者,将“target”设置为指定节点的颜色链接

编辑:添加多级桑克的说明

找到如何为多级sankeys分配颜色有点棘手。

我们需要创建其他日期框架:

datSK <- data.frame(From=c(rep("A",3), rep("B", 3), rep(c("X", "Y", "Z"), 2 )),
                To=c(rep(c("X", "Y", "Z"),2), rep("M", 3), rep("N", 3)),
                Weight=c(5,7,6,2,9,4,3,4,5,6, 4,8))

这里我们只需要改变颜色数组。建立情节的命令是一样的 让我们假设我们想要节点和链接的这些颜色:

colors_link <- c('green', 'blue', 'yellow', 'brown', 'red')
colors_link_array <- paste0("[", paste0("'", colors_link,"'", collapse = ','), "]")

colors_node <- c('yellow', 'lightblue', 'red', 'black', 'brown', 'green', 'brown')
colors_node_array <- paste0("[", paste0("'", colors_node,"'", collapse = ','), "]")

结果将是:

enter image description here

最棘手的部分是了解如何分配这些颜色:

  1. 链接按照它们在数据集(row_wise)中的显示顺序分配
  2. enter image description here

    1. 对于节点颜色是在订单图中指定的。

      • 从A到X,Y,Z - 绿色
      • 从X到M,N - 蓝色
      • 从Y到M,N - 黄色
      • 从Z到M,N - 棕色
      • 从B到X,Y,Z - 红
    2. 有关如何格式化sankey图表的更多详细信息:https://developers.google.com/chart/interactive/docs/gallery/sankey

答案 1 :(得分:2)

我知道这比较老,但万一其他人陷入困境,我想出了如何进行正确排序并生成一串颜色节点的方法,以便可以为某些标签使用自定义颜色。向@ vadym-b喊出数据并解释顺序。检查一下:

#convert to list combined of source and target for color order
# edges is a dataframe from @vadym-b's answer above
edges <- data.frame(From=c(rep("A",3), rep("B", 3), rep(c("X", "Y", "Z"), 2 )),
                    To=c(rep(c("X", "Y", "Z"),2), rep("M", 3), rep("N", 3)),
                    Weight=c(5,7,6,2,9,4,3,4,5,6, 4,8))

#we have to make the order right - you need a list
# that is a combination of From, To, From, To, From, To
nc.df <- c()
for (i in 1:nrow(edges)) {
  nc.df <- c(nc.df, as.character(edges$From[i]), as.character(edges$To[i]))
}

#the actualy parsing - get the unique list and return
# colors based on what the source or target value is
nodeColor <- sapply(unique(nc.df), function(r) {
  if (grepl('A',r)) return('red')
  if (grepl('B',r)) return('red')
  if (grepl('Z',r)) return('green')
  if (grepl('X',r)) return('green')
  if (grepl('Y',r)) return('purple')
  if (grepl('M',r)) return('blue')
  if (grepl('N',r)) return('blue')
  #return a default color if you like
  return('black')
})

#make a sankey
library(googleVis)

# put the color list in a collapsed string
sankey <- gvisSankey(
  edges, 
  chartid = 'Sankey', 
  from="From", 
  to="To", 
  weight="Weight", 
  options=list(
    sankey = paste0("{
      iterations: 0,
      link: {
        colorMode: 'gradient'
      },
      node: {
        colors: ['",paste(nodeColor,collapse="','"),"']
      }
    }")
  )
)

plot(sankey)

Sankey with custom colors

答案 2 :(得分:1)

我已经在github上添加了一段代码。

#TOPLOTS[,1] = from ; TOPLOTS[,1] = to
names_pahtwayorder<-unlist(data.frame(t(TOPLOTs[,1:2])))
names_pahtwayorder<-names_pahtwayorder[!duplicated(names_pahtwayorder)]
names(names_pahtwayorder)<-NULL; names_pahtwayorder

https://github.com/SkanderMulder/ExtractIPA/blob/master/functionSankey.r