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"]]}})

まず、提供されている pandas と plotly.express px.scatter_3d の再現コードを実行し、update_traces 後の fig1 と fig2 を比較します。生成されたマーカーのサイズ値と色の値を調べ、color の追加によってサイズの出力が変わる理由を特定します。color="type" を指定した場合でも、カウントから導出されたマーカーサイズが有効なままであれば完了です。