R 连续色彩美学的三元问题

使用plotly在R中创建三元图时发现了一个问题。如果颜色美学是一个连续变量，则三元图的背景中似乎有一个二元图。离散的色彩美学似乎工作得很好。有人知道怎么解决吗

library(tidyverse)
library(plotly)



# Make a dataframe

df<-data.frame(ID = 1:6,
                ID2 = c(rep("B14",4),"B16","B16"),
                Location = c(40.9,96,120,308.5,322,420),
                Classifier = c(rep("A",3),rep("B",3)),
                A = c(0.06,0.06,0.02,0.02,0.01,0.01),
                B = c(0.04,0.01,0.03,0.04,0.02,0.06),
                C= c(0.26,0.06,0.43,0.35,0.29,0.74),
                X = c(363,696,757,1650,609,392)
                )

颜色由连续变量在三元背景中创建两个附加轴

df %>% 
  plot_ly(
    a = ~A,
    b = ~B,
    c = ~C,
    text = ~ID,
    color = ~X,
    colors = "Spectral",
    type = 'scatterternary',
    mode = 'markers',
    marker = list( 
      symbol ='circle',
      opacity = 0.6,
      size = 15
    )) 

---

这不是一个解决方案，更像是一个问题的面具。可以像这样隐藏x轴和y轴：

ax <- list(
  title = "",
  zeroline = FALSE,
  showline = FALSE,
  showticklabels = FALSE,
  showgrid = FALSE
)

# use your df:
df %>% 
  plot_ly(
    a = ~A,
    b = ~B,
    c = ~C,
    text = ~ID,
    color = ~X,
    colors = "Spectral",
    type = 'scatterternary',
    mode = 'markers',
    marker = list( 
      symbol ='circle',
      opacity = 0.6,
      size = 15
    )) %>%
  layout(xaxis = ax, yaxis = ax)

ax%
阴谋(
a=~a，
b=~b，
c=~c，
text=~ID，
颜色=~X，
colors=“光谱”，
类型='scatterTrimal'，
模式='标记'，
标记=列表（
符号='圆'，
不透明度=0.6，
尺寸=15
)) %>%
布局（xaxis=ax，yaxis=ax）

ax <- list(
  title = "",
  zeroline = FALSE,
  showline = FALSE,
  showticklabels = FALSE,
  showgrid = FALSE
)

# use your df:
df %>% 
  plot_ly(
    a = ~A,
    b = ~B,
    c = ~C,
    text = ~ID,
    color = ~X,
    colors = "Spectral",
    type = 'scatterternary',
    mode = 'markers',
    marker = list( 
      symbol ='circle',
      opacity = 0.6,
      size = 15
    )) %>%
  layout(xaxis = ax, yaxis = ax)