Polars timezone not respected in graph_objects.scatter

latest version of plotly // python 3.12

from datetime import datetime, timedelta
from zoneinfo import ZoneInfo

import pandas as pd
import polars as pl

daterange = [datetime(2023, 1, 1, tzinfo=ZoneInfo("Australia/Brisbane")) + timedelta(hours=i) for i in range(48)]

df_1 = pl.DataFrame(
    {
        "timestamp": daterange,
        "line1": [0.1] * 24 + [0.2] * 24,
    }
)
df_2 = pl.DataFrame(
    {
        "timestamp": daterange,
        "line2": [0.0] * 24 + [0.4] * 24,
    }
)
fig = px.line(df_1, x="timestamp", y="line1")

fig.add_trace(
    go.Scatter(
        x=df_2["timestamp"],
        y=df_2["line2"],
        name="line2",
    )
)
fig.show()

"line1" (using px.line )renders correctly with local time on the X-axis. But "line2" (using go.Scatter) gets converted to UTC.

This goes away if df_2 uses pandas or I pass in df_2['timestamp'].to_list() instead.

Probably related to https://github.com/plotly/plotly.py/issues/5166 - is this just because polars isn't supported, but since we've not got type hints in plotly my IDE wasn't complaining?

Comienza con la reproducción de Python proporcionada, comparando px.line con go.Scatter cuando x es una Polars timestamp Series frente a una lista o datos de pandas. Traza la ruta de conversión utilizada por go.Scatter y verifica cómo se gestiona la información de zona horaria. Se considera terminado cuando la Polars Series conserva la zona horaria local de forma coherente y la reproducción representa ambas trazas con valores de tiempo coincidentes.