Consider showing UTC offset in tooltip for datetimes
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 45/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- python
- Domain
- data-visualization
Research direction
Start by running the Python reproduction in the issue and inspect how Plotly formats datetime values in hover tooltips. Done means the two ambiguous Europe/London datetimes remain distinguishable by showing their UTC offsets, with coverage added for this example.
Written by the indexing model from the issue text.
Description
Say I have
import pandas as pd
dfa = pd.DataFrame(
{
"datetime": ["2020-10-25T01:30"] * 2,
"price": [40, 50],
}
)
dfa['datetime'] = pd.to_datetime(dfa['datetime']).dt.tz_localize('Europe/London', ambiguous=[True, False])
dfa
datetime price
0 2020-10-25 01:30:00+01:00 40
1 2020-10-25 01:30:00+00:00 50
and I plot
px.scatter(dfa, x="datetime", y="price")
then I get
Notice how the two points are stacked one on top of each other, even though they are actually 1 hour apart
If Plotly's design decision for time zones is to display the local datetime, then I think this makes perfect sense, nice one 👍 However, I think the tooltip should give enough information to distinguish the two points, whereas currently, they both show:
datetime=Oct 25, 2020, 01:30
I would expect the bottom one to show datetime=Oct 25, 2020, 01:30 +01:00 and the top one to show datetime=Oct 25, 2020, 01:30 +00:00
- Dominant language
- Python
- Stars
- 18.8k
- Forks
- 2.8k
- Avg merge
- 13h 41m
- Merged PRs (30d)
- 21
Contributor guide
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