[英]color graph nodes differently
I need to color nodes differently to plot graph communities (set of nodes) in R. For this case, I deal with 17 communities ( so I need 17 different color). 我需要对节点进行不同的着色以在R中绘制图社区(节点集)。在这种情况下,我处理了17个社区(因此我需要17种不同的颜色)。 to color nodes I use this command.
为节点着色我使用此命令。
V(g5)$color<- ifelse(V(g5)$name %in% V(g3)$name,com$membership+1, "white")
com$membership
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 5 5 6 6 6 6 6 6 6 6 7 7 8 8 8 8 9 9 9 9 9 9 9 9 10 10 10 10 10 10 10 11 11 11 11 11 11 12 12 13 13 13 13 14 14 14 14 15 15 15 15 16 17 17 9 14
and to plot : 并绘制:
plot(g5, vertex.color=V(g5)$name)
the problem that i get only 6 color that it repeat to the other communities. 我只得到6种颜色的问题,重复到其他社区。 How can i correctly color this 17 communities differently?
我该如何正确地为这17个社区涂上不同的颜色?
If you just specify color with a numerical index, R will pull the colors from the current palette()
. 如果仅使用数字索引指定颜色,则R将从当前的
palette()
提取颜色。 By default this contains 8 different colors. 默认情况下,它包含8种不同的颜色。
palette()
# [1] "black" "red" "green3" "blue" "cyan" "magenta" "yellow"
# [8] "gray"
If you specify an index greater than 8, R will just loop around the index such that 1==9
. 如果您指定的索引大于8,则R只会在索引周围循环,以使
1==9
。
You can change the pallette to contain more colors 您可以更改调色板以包含更多颜色
palette(rainbow(17))
Or you could explicitly set the colors rather than specifying a color index. 或者,您可以显式设置颜色,而不是指定颜色索引。
mycols <- rainbow(17)
V(g5)$color<- ifelse(V(g5)$name %in% V(g3)$name,mycols[com$membership], "white")
This is probably "safer" than changeing the palette since that will affect all other plots as well. 这可能比更改调色板更“安全”,因为这也会影响所有其他图。
g <- graph.ring(17)
V(g)$color <- rainbow(17)
plot(g)
Note: It's not that easy to find 17 different colors that you can easily distinguish by eye. 注意:要找到可以用肉眼轻松区分的17种不同的颜色并非易事。
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