如何使用 plotly 在散点图中显示第三个变量的第二个图例?

How to show a second legend for a third variable in a scatter plot using plotly?

我有以下代码生成散点图(使用 in )and I would like to add the 表示标记的大小 totalValue (它是一个连续变量,表示特定建筑物的价值),我该怎么做那?

 f <- list(
   family = "Courier New, monospace",
   size = 18,
   color = "#7f7f7f"
  )
 x <- list(
   title = "Age of Buildings",
   titlefont = f,
   zeroline = FALSE,
   showline = FALSE,
   showticklabels = TRUE,
   showgrid = TRUE
  )
  y <- list(
    title = "Total Violations",
    titlefont = f,
    zeroline = FALSE,
    showline = FALSE,
    showticklabels = TRUE,
    showgrid = TRUE
   )
fig2 <- plot_ly(final, x=~agebuilding, y=~violationstotal, mode= "markers", color = 
                ~INdexrehabless6, size = ~totalvalue)
fig2 <- fig2 %>% layout(xaxis = x, yaxis = y, legend=list(title=list(text='<b> 
                        Housing Conditions </b>'))) #chaging name legend
fig2

数据集样本:

agebuilding  violationstotal  INdexrehabless6  totalvalue
32            5                0                 350000
120          15                1                  50000
100          25                1                 100000
32           31                0                 210000
33            9                0                 150000
50           20                0                 301000
15           28                0                 175000
70           18                1                 125000

这是我得到的情节

据我所知,尚无法在 中绘制两个图例:

即使使用 (高度可定制)和 的包装),最终也只会导致一个图例.

library(ggplot2); library(dplyr); library(magrittr);

final <- read.table(header = T, text = 
                        "agebuilding  violationstotal  INdexrehabless6  totalvalue
32            5                0                 350000
120          15                1                  50000
100          25                1                 100000
32           31                0                 210000
33            9                0                 150000
50           20                0                 301000
15           28                0                 175000
70           18                1                 125000"); 

final;
  agebuilding violationstotal INdexrehabless6 totalvalue
1          32               5               0     350000
2         120              15               1      50000
3         100              25               1     100000
4          32              31               0     210000
5          33               9               0     150000
6          50              20               0     301000
7          15              28               0     175000
8          70              18               1     125000

#plots the ggplot in `plot` window. 1st GRAPH
ggplot(data = final, aes(x = agebuilding, y = violationstotal)) + 
    geom_point(aes(size = totalvalue, color = INdexrehabless6))

# plots the ggploty in viewer window. 2nd GRAPH (interactive)
ggp %>% ggplotly();

第一个图表

第二个图表