Data gets dropped in add_trace and consequently points have the wrong color if NA is present

Have a look at the following code:

library(plotly)
x = c(NA, 2, 3, 4, 5)
color = c(0, 0, 0.5, 1, 1)
# If you try to plot it this way, you get mismatched colors. The NA seems to have been silently dropped and then the wrong indices aligned. The colors of points 2 and 3 are now blue, of 4 is purple and of 5 is green.
plotly::plot_ly()|>
    plotly::add_trace(
      type = "scatter",
      mode = "markers",
      x = x,
      y = 0,
      marker = list(
        color = color,
        cmin = 0,
        cmax = 1,
        colorscale = list(list(0, "blue"), list(0.5, "purple"), list(1, "green"))
      )
    ) |>
    plotly::layout(
      showlegend = FALSE
    ) |>
    plotly::hide_colorbar() 

It produces a plot with wrong colors:

I think this is unacceptable behavior, especially since this is not what happens if you do it in the what I consider the classical way:

data.frame(x=x, color=color) |> 
  plot_ly(x=~x, color=~color, y=0, colors = c("blue", "purple", "green")) |> 
  hide_colorbar()

提供された R の例を plotly::add_trace に通して実行し、マーカーの色を data.frame の例と比較します。add_trace が x の NA 値をどのように処理し、マーカーの色ベクトルをどのように整列させるかを追跡し、NA でない点が対応する色を保持することを示すリグレッションカバレッジを追加します。