如何将色阶从默认的紫色更改为黄色?我尝试将颜色和色阶参数添加到 add_trace()，但它会引发错误.

具有默认颜色的可重现代码:

图书馆(情节)；图书馆(重塑2)；图书馆(tidyverse)睡眠 <- read.table("http://www.statsci.org/data/general/sleep.txt", header=T)睡眠 <- na.omit(sleep)睡眠 <- 变异(睡眠，logTotalSleep = log(TotalSleep))sleep_mod <- lm(logTotalSleep ~ Gestation + Danger, data=sleep)# 图形分辨率(对于更复杂的形状更重要)graph_reso %add_trace(z = sleep_surface,x = 轴 x，y = 轴 y，类型=表面")%>%layout(scene = list(xaxis = list(title = '妊娠期(天)'),yaxis = list(title = '危险指数'),zaxis = list(title = '睡眠时间')))p

您可以定义自己的

完整代码

图书馆(情节)图书馆(重塑2)睡眠 <- read.table("http://www.statsci.org/data/general/sleep.txt", header=T)睡眠 <- na.omit(sleep)睡眠 <- 变异(睡眠，logTotalSleep = log(TotalSleep))sleep_mod <- lm(logTotalSleep ~ Gestation + Danger, data=sleep)graph_reso %add_trace(z = sleep_surface,x = 轴 x，y = 轴 y，类型 = 表面"，色阶 = 列表(c(0, 1)，c(棕褐色"，蓝色")))p

How do I change the colorscale from the default of purple to yellow? I tried adding color and colorscale parameters to add_trace(), but it throws up errors.

Reproduceable code with default colors:

library(plotly); library(reshape2); library(tidyverse)
sleep <- read.table("http://www.statsci.org/data/general/sleep.txt", header=T)
sleep <- na.omit(sleep)
sleep <- mutate(sleep, logTotalSleep = log(TotalSleep))

sleep_mod <- lm(logTotalSleep ~ Gestation + Danger, data=sleep)



# Graph Resolution (more important for more complex shapes)
graph_reso <- 0.5 #0.05

# Setup Axis
axis_x <- seq(min(sleep$Gestation), max(sleep$Gestation), by = graph_reso)
axis_y <- seq(min(sleep$Danger), max(sleep$Danger), by = graph_reso)

# Sample points
sleep_surface <- expand.grid(Gestation = axis_x,
                                 Danger = axis_y,
                                 KEEP.OUT.ATTRS = F)

sleep_surface$TotalSleep <- exp(predict.lm(sleep_mod, newdata = sleep_surface)) # exp to remove ln() from y

sleep_surface <- acast(sleep_surface, Danger ~ Gestation, value.var = "TotalSleep") #y ~ x


# Plot
p <- plot_ly(data = sleep) %>% 
  add_trace(x = ~Gestation, y = ~Danger, z = ~TotalSleep, 
            type = "scatter3d", mode = "markers",
            opacity = .8) %>%
  add_trace(z = sleep_surface,
            x = axis_x,
            y = axis_y,
            type = "surface") %>% 
  layout(scene = list(xaxis = list(title = 'Gestation Period (days)'),
                      yaxis = list(title = 'Danger Index'),
                      zaxis = list(title = 'Hours of Sleep')))
p

You could define your own colorscale and add it to add_trace where you define the surface plot.

colorscale = list(c(0, 1), c("tan", "blue"))

This gives you the following raph

Complete code

library(plotly)
library(reshape2)

sleep <- read.table("http://www.statsci.org/data/general/sleep.txt", header=T)
sleep <- na.omit(sleep)
sleep <- mutate(sleep, logTotalSleep = log(TotalSleep))
sleep_mod <- lm(logTotalSleep ~ Gestation + Danger, data=sleep)

graph_reso <- 0.5
axis_x <- seq(min(sleep$Gestation), max(sleep$Gestation), by = graph_reso)
axis_y <- seq(min(sleep$Danger), max(sleep$Danger), by = graph_reso)

sleep_surface <- expand.grid(Gestation = axis_x,
                             Danger = axis_y,
                             KEEP.OUT.ATTRS = F)
sleep_surface$TotalSleep <- exp(predict.lm(sleep_mod, newdata = sleep_surface)) # exp to remove ln() from y

sleep_surface <- acast(sleep_surface, Danger ~ Gestation, value.var = "TotalSleep") #y ~ x

p <- plot_ly(data = sleep) %>%
  add_trace(x = ~Gestation, y = ~Danger, z = ~TotalSleep, 
            type = "scatter3d", mode = "markers",
            opacity = .8) %>%
  add_trace(z = sleep_surface,
            x = axis_x,
            y = axis_y,
            type = "surface", colorscale = list(c(0, 1), c("tan", "blue")))

p