Consider showing UTC offset in tooltip for datetimes
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- Dominant language
- Python
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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
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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.
Assessment
- Tech stack
- python
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100