inctl opened a new issue, #42587:
URL: https://github.com/apache/superset/issues/42587
### Bug description
### Apply Resampling to the Entire Target Period
Superset version: 4.1.2 and 6.1.0
## Requirement:
I need to be able to view an area or bar chart in which missing data points
are set to 0.
I have set a time granularity and enabled “Resample to zero” for the time
axis.
However, the resampling only applies between two data points.
## Case
If I have only one data point per day, I end up with a bar that spans the
entire day.
I want all hourly data points to be set to 0.
Since version 6.1.0, I’ve noticed that by setting a JSON echart with this
value, the result is correct.
But I can’t make the start and end values dynamic.
```
{
"xAxis": {
"min": "2026-07-01 00:00:00",
"max": "2026-07-02 00:00:00"
}
}
```
## Conclusion
It would be helpful if this were handled by default with the resample.
And if possible, to have an auto-resample aligned with the time granularity,
allowing the time granularity filter to be used in a dashboard.
One solution you could suggest is to include Jinja templating in the ECharts
JSON configuration.
We could then set the start and end dates there.
But it's still best to have the start and end dates set correctly from the
beginning.
Thank you advance,
### Screenshots/recordings
_No response_
### Superset version
6.1.0
### Python version
3.11
### Node version
I don't know
### Browser
Chrome
### Additional context
_No response_
### Checklist
- [x] I have searched Superset docs and Slack and didn't find a solution to
my problem.
- [x] I have searched the GitHub issue tracker and didn't find a similar bug
report.
- [x] I have checked Superset's logs for errors and if I found a relevant
Python stacktrace, I included it here as text in the "additional context"
section.
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