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Description
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 #5166 - is this just because polars isn't supported, but since we've not got type hints in plotly my IDE wasn't complaining?