1

这是我的数据：

set.seed(42)
mydata = data.frame(A = rnorm(20), B = rnorm(20), Index = sample(190:400,20))

我试图根据Index值将数据分成 20 个不同的区间，然后根据它们的区间为散点着色value。下面是我的代码。它工作不完美。

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)

如何在颜色基于值的图例中获得颜色条。Index

4

1 回答 1

2

您是否正在寻找这个：

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")
于 2017-01-22T23:59:22.257 回答