Selective scatter hover disturbed for unequal marker sizes

Hi -

I would like to create a scatter plot in which the hover tooltip is shown for a small number of highlighted points and hidden for the majority of 'base' points. This works well if the markers for the 'highlight' and 'base' points are the same size, but it is very hard to get the hover to activate if there is any difference between the 2 trace's marker sizes. I have created an illustration for this below - apologies the code is quite long, but hopefully it makes it easy to understand the problem I'm describing.

Is there a way to avoid the 'base' trace interfering with the hover for the 'highlight' trace whilst having different sized markers for the two traces?

library(plotly)
library(dplyr)

# Create 'base' points data - hover not to be shown
n <- 1e4
baseData <- tibble(
  x = rnorm(n),
  y = 2*x + rnorm(n, sd = 5),
  type = "Base")

# Create 'highlight' points data - hover to be shown
### Add a point in bottom right quadrant that won't overlap with base points
highlightData <- tibble(
  x = c(rnorm(10), 3.5),
  y = c((2*x[1:10] + rnorm(10, sd = 5)), -18),
  type = "Highlight")

# Create plots with equal and unequal sized markers
plots <- lapply(
  c(20, 19), # Define base points size for each plot 
  function(baseSize) {
    # Show legend for first plot only
    showLeg <- ifelse(baseSize == 20, TRUE, FALSE)
    
    plot_ly(colors = c("#66C2A5", "#FC8D62")) %>% 
      # Create trace with no hover for base data
      add_trace(
        data = baseData,
        x = ~x, y = ~y, color = ~type,
        legendgroup = ~type, showlegend = showLeg,
        alpha  = 0.1, 
        type = "scatter", mode = 'markers',
        hoverinfo = "skip",
        marker = list(size = baseSize)) %>%
      # Create trace WITH hover for highlight data
      add_trace(
        data = highlightData,
        x = ~x, y = ~y, color = ~type,
        legendgroup = ~type, showlegend = showLeg,
        type = "scatter", mode = 'markers', 
        hoverinfo = "all",
        marker = list(
          size = 20,
          color = 'rgba(255, 182, 193, .9)',
          line = list(color = 'rgba(152, 0, 0, .8)',
                      width = 2)))
  })

# Create & append subplot titles
# Update title
annotations = list( 
  list( 
    x = 0.2,  y = 1.0,  
    text = "Equal Sized Markers - Easy Hover...",  
    xref = "paper",  yref = "paper",  
    xanchor = "center", yanchor = "bottom", showarrow = FALSE),  
  list( 
    x = 0.8, y = 1,  
    text = "Unequal Sizes - Hover only easy in bottom right point...",  
    xref = "paper", yref = "paper",  
    xanchor = "center", yanchor = "bottom", showarrow = FALSE))

subplot(plots[[1]], plots[[2]]) %>%
  layout(annotations = annotations) 

Thank you for your help and (as always) for this fantastic package!

Ben

Beginne damit, die bereitgestellte R-Reproduktion auszuführen und die Diagramme mit gleich großen und ungleich großen Markern zu vergleichen. Untersuche, wie die Scatter-Traces der Basis und der Hervorhebung beim Hover konkurrieren, und bestätige anschließend, dass hervorgehobene Punkte weiterhin leicht zu hovern sind, während der Hover über Basispunkte bei unterschiedlichen Markergrößen unterdrückt bleibt.