px.scatter_3d, use case where color param affects size output

I have created a scatter3d chart with plotly express. The scatter3d works fine with column "count" as size (fig 1). There are three big bubbles on the top layer and one on the bottom layer.

fig1

I next add the color parameter to be a column "type" in the frame. The resulting plot appears to have incorrectly swapped out "count" for "type" in the size parameter, so now the actual size param is ignored and it maps color to size. (fig 2).

fig2

import pandas as pd
import plotly.express as px

df = pd.DataFrame({
    "campaign": ["funny", "funny", "funny", "funny", "patriotic", "patriotic", "patriotic", "patriotic"],
    "product": ["classic", "classic", "diet", "diet", "classic", "classic", "diet", "diet"],
    "type": ["click", "land", "click", "land", "click", "land", "click", "land"],
    "count": [397, 108, 108, 411, 99, 410, 144, 323]
})

fig1 = px.scatter_3d(df, x="campaign", y="product", z="type", hover_data="count").update_traces({"marker": {"size": [j/10 for j in df["count"]]}})

fig2 = px.scatter_3d(df, x="campaign", y="product", z="type", hover_data="count", color="type").update_traces({"marker": {"size": [j/10 for j in df["count"]]}})

Comienza ejecutando el reproductor proporcionado para pandas y plotly.express px.scatter_3d, comparando fig1 y fig2 después de update_traces. Inspecciona los valores generados de tamaño y color de los marcadores para descubrir por qué añadir color cambia la salida del tamaño. Se considera terminado cuando los tamaños de los marcadores derivados de los conteos siguen siendo efectivos al proporcionar color="type".