以下是我的数据:
set.seed(42)
mydata = data.frame(A = rnorm(20), B = rnorm(20), Index = sample(190:400,20)) 我尝试根据Index值将数据划分为20个不同的间隔,然后根据它们的间隔value对散点进行着色。下面是我的代码。它不能完美地工作。
cols = colorRampPalette(c("red", "black"), space = "rgb")(20)
mydata$interval = cut(mydata$Index,breaks = 20)
mydata$cols = cols[mydata$interval]
require(plotly)
x = list(title = "A")
y = list(title = "B")
plot_ly(mydata, x = ~A, y = ~B, color = ~cols, type = "scatter",
mode = 'markers', hoverinfo = 'text',
text = ~paste(interval)) %>%
layout(xaxis = x, yaxis = y)如何在颜色基于Index值的图例中获取colorbar。
发布于 2017-01-23 07:59:22
你在找这个吗:
plot_ly(mydata, x = ~A, y = ~B, type = "scatter",
mode = 'markers', hoverinfo = 'text', colors = colorRampPalette(c("red", "black"), space = "rgb")(20), color = ~Index, text = ~paste(interval), marker = list(size=14)) %>%
layout(xaxis = x, yaxis = y) %>%
colorbar(title = "My Legend")https://stackoverflow.com/questions/41797368
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