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?

Start with the supplied Python reproduction, comparing px.line with go.Scatter when x is a Polars timestamp Series versus a list or pandas data. Trace the conversion path used by go.Scatter and verify how timezone information is handled. Done means the Polars Series preserves the local timezone consistently and the reproduction renders both traces with matching time values.