情节:如何在甜甜圈图中自定义颜色? [英] Plotly: How to customize colors in a donut chart?
问题描述
我想问问您是否可以帮助我自定义由plotly创建的甜甜圈图中的颜色.
I would like to ask you if you could help me in customizing of colors in a donut chart created by plotly.
问题出在后面-我必须重新创建一个仪表板(从Excel文件到html文件).仪表板的一部分是一个图表,向我们提供了有关每个实体的早期生产的信息.该图表按情节是甜甜圈图类型.由于每个实体都是由整个仪表板中的特定颜色(以RGB定义)定义的,因此我也需要将这些颜色保留在甜甜圈图中.但有一个问题.我总是收到以下警告:
The problem is following - I have to recreate a dashboard (from an excel file to a html file). A part of the dashboard is a chart providing us with information about early production of each entity. The chart is a donut chart type by plotly. As each entity is defined by a specific color (defined in RGB) throughout whole dashboard, I need to keep these colors in the donut chart as well. But there is a problem. I always get the following warning:
警告信息:在RColorBrewer :: brewer.pal(N,"Set2")中:n太大,允许调色板Set2的最大值为8用多种颜色返回您要的调色板
Warning message: In RColorBrewer::brewer.pal(N, "Set2") : n too large, allowed maximum for palette Set2 is 8 Returning the palette you asked for with that many colors
,得到的甜甜圈图仅包含一个颜色未指定的实体(请参见代码下方的图片).另外,图例中的颜色也不是所定义的颜色.
and the resulting donut chart containts only one Entity with a not-specified color (see attached picture below the code). Also, the colors in legend are not those which are defined.
有什么想法要做什么吗?提前非常感谢您.
Any idea what to do with it? Thank you so much in advance.
# create dataset
dt <- as.data.frame(matrix(ncol = 13, nrow = 19))
colnames(dt) <- c("Entity", month.abb)
for (i in 1:nrow(dt)) {
dt[i, 1] <- paste("Entity", i, sep="")
dt[i, -1] <- floor(runif(12, min=0, max=100))
}
# assign colors to entities
dt$"EntityColor" <- c("#074263", "#0B5394", "#3D85C6", "#6D9EEB", "#A4C2F4", "#CFE2F3", "#5B0F00", "#85200C", "#A61C00", "#CC4125", "#DD7E6B", "#E6B8AF", "#F8CBAD", "#F4CCCC", "#274E13", "#38761D", "#E06666", "#CC0000", "#20124D")
dt
Entity Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec EntityColor
1 Entity1 60 98 88 66 5 4 10 28 96 12 49 36 #074263
2 Entity2 14 0 54 67 55 95 11 67 82 87 54 83 #0B5394
3 Entity3 71 88 61 57 34 84 75 55 67 99 37 95 #3D85C6
4 Entity4 20 29 14 12 31 33 42 88 47 42 73 74 #6D9EEB
5 Entity5 70 77 60 85 59 69 28 14 53 91 2 86 #A4C2F4
6 Entity6 50 12 72 18 38 2 23 98 61 39 70 36 #CFE2F3
7 Entity7 1 69 86 16 73 61 72 43 85 35 87 86 #5B0F00
8 Entity8 64 58 73 80 38 60 18 66 25 29 89 96 #85200C
9 Entity9 36 49 20 15 54 89 62 94 68 38 60 4 #A61C00
10 Entity10 98 11 61 42 58 87 9 20 75 53 13 65 #CC4125
11 Entity11 78 66 34 30 92 2 59 63 9 74 46 29 #DD7E6B
12 Entity12 21 82 14 80 51 66 5 54 4 38 0 20 #E6B8AF
13 Entity13 22 75 68 91 0 77 99 69 46 20 63 63 #F8CBAD
14 Entity14 7 75 31 15 86 65 64 6 20 75 21 45 #F4CCCC
15 Entity15 65 67 42 55 89 11 20 47 2 26 28 62 #274E13
16 Entity16 79 29 68 30 72 98 54 88 47 80 14 67 #38761D
17 Entity17 41 68 7 59 62 70 36 44 44 94 2 63 #E06666
18 Entity18 5 1 25 99 27 49 16 98 40 18 59 24 #CC0000
19 Entity19 11 20 31 62 93 32 67 81 54 12 6 10 #20124D
# create donut chart
dt %>%
mutate(Sum = rowSums(dt[, -c(1,ncol(dt))])) %>%
plot_ly(labels = ~Entity,
values = ~Sum,
textposition = "inside",
textinfo = 'label+percent',
color = ~Entity,
marker = list(color = ~EntityColor)) %>%
add_pie(hole = 0.4) %>%
layout(showlegend = T,
xaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = F),
yaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = F),
annotations = list(text=sum(rowSums(dt[, -c(1,ncol(dt))])), "showarrow"=F, font=list(size = 40)))
推荐答案
事实证明您需要在plot_ly()中放入 type ='pie'
color =〜Entity,
并指定 marker = list(colors =〜EntityColor)
.
It turns out you needed to have type='pie'
in plot_ly()
, comment out color = ~Entity,
and specify marker = list(colors = ~EntityColor)
.
情节:
代码:
dt <- as.data.frame(matrix(ncol = 13, nrow = 19))
colnames(dt) <- c("Entity", month.abb)
for (i in 1:nrow(dt)) {
dt[i, 1] <- paste("Entity", i, sep="")
dt[i, -1] <- floor(runif(12, min=0, max=100))
}
# assign colors to entities
dt$"EntityColor" <- c("#074263", "#0B5394", "#3D85C6", "#6D9EEB", "#A4C2F4", "#CFE2F3", "#5B0F00", "#85200C", "#A61C00", "#CC4125", "#DD7E6B", "#E6B8AF", "#F8CBAD", "#F4CCCC", "#274E13", "#38761D", "#E06666", "#CC0000", "#20124D")
dt %>%
mutate(Sum = rowSums(dt[, -c(1,ncol(dt))])) %>%
plot_ly(labels = ~Entity,
values = ~Sum,
textposition = "inside",
textinfo = 'label+percent',
type='pie',
hole=0.4,
#color = ~Entity,
marker = list(colors = ~EntityColor)
) %>% add_pie(hole = 0.4) %>%
layout(showlegend = T,
xaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = F),
yaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = F),
annotations = list(text=sum(rowSums(dt[, -c(1,ncol(dt))])), "showarrow"=F, font=list(size = 40)))
我希望这是您想要的.不要犹豫,让我知道.
I hope this is what you were looking for. Don't hesitate to let me know if not.
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