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"]]}})

Inizia eseguendo il reproducer fornito per pandas e plotly.express px.scatter_3d, confrontando fig1 e fig2 dopo update_traces. Esamina i valori generati per la dimensione e il colore dei marker per scoprire perché l'aggiunta di color modifica l'output della dimensione. Il lavoro è completato quando le dimensioni dei marker derivate dai conteggi rimangono effettive quando viene fornito color="type".