the x-axis of my graph is displaying as the ns value of the timestamp, 1715000000000000000, instead of the corresponding readable timestamp.

The code is

 fig = go.Figure()
 local_df["reservation_start_week_utc"] = pd.to_datetime(local_df[
 "reservation_start_week_utc"
 ].apply(lambda x: pd.Timestamp(x).to_pydatetime()))
 fig.add_trace(
 go.Scatter(
 x=local_df["reservation_start_week_utc"],
 y=local_df["weighted_average_price"],
...

the datatype of the column that populates my x-axis is datetime64[ns, UTC]
I tried casting to different types, and also several different format settings on the plot. I couldnt get it to work. Rolling back plotly immediately fixed the bug

python versions used 3.13 and 3.10 no difference.

rolling back from plotly 6.0.1 to 5.24.1 fixed the formatting issue