密谋:如何根据值指定符号和颜色?

问题描述

在R中使用plotly进行绘制时，如何根据值指定颜色和符号?例如，对于mtcars示例数据集，如果mtcars$mpg大于或小于18，如何将其绘制为红色正方形?

When plotting with plotly in R, how does one specify a color and a symbol based on a value? For example with the mtcars example dataset, how to plot as a red square if mtcars$mpg is greater or less than 18?

例如:

library(plotly)


p <- plot_ly(type = "scatter", data = mtcars, x = rownames(mtcars), y = mtcars$mpg,
             mode = "markers" )

如何将大于20的所有点都显示为黄色方块?

How to get all points above 20 as yellow squares?

推荐答案

您可以执行以下操作:

plot_ly(type = "scatter", data = mtcars, x = rownames(mtcars), y = mtcars$mpg,
        mode = "markers", symbol = ~mpg > 20, symbols = c(16,15),
        color = ~mpg > 20, colors = c("blue", "yellow"))

https://plot.ly/r/行和散点图/#mapping-data-to-symbols

是的，有可能，我会先使用cut()在plot_ly()之外进行所有分组和形状/颜色规范.然后在引用新的颜色和形状变量时利用plot_ly()内的文字I()语法:

yes it's possible, I'd make all of your grouping and shape/color specification outside of plot_ly() with cut() first. And then take advantage of the literal I() syntax inside of plot_ly() when referencing your new color and shape vars:

data(mtcars)

mtcars$shape <- cut(mtcars$mpg,
                    breaks = c(0,18, 26, 100),
                    labels = c("square", "circle", "diamond"))
mtcars$color <- cut(mtcars$mpg,
                    breaks = c(0,18, 26, 100),
                    labels = c("red", "yellow", "green"))

plot_ly(type = "scatter", data = mtcars, x = rownames(mtcars), y = mtcars$mpg,
        mode = "markers", symbol = ~I(shape), color = ~I(color))

这篇关于密谋:如何根据值指定符号和颜色?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！