how to specify `ignore_na` and `adjust` in `DataArray.rolling_exp`?
Open
Nobody has claimed this yet.
enhancement
topic-rolling
upstream issue
- Dominant language
- Python
- Stars
- 4.2k
- Forks
- 1.4k
- Avg merge
- 2d 15h
- Merged PRs (30d)
- 14
Description
What is your issue?
Hi, I am trying to compute the moving average like the following in pandas using DataArray.rolling_exp:
df.ewm(alpha=0.9, ignore_na=True, adjust=True).mean()
does anyone know how to specify ignore_na and adjust in DataArray.rolling_exp?
Thanks!
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 reading the DataArray.rolling_exp API and comparing it with pandas' df.ewm(alpha=0.9, ignore_na=True, adjust=True).mean() example. Trace how rolling exponential options are exposed and check the existing tests or documentation around this entry point. Done means the handling of ignore_na and adjust is clearly supported or documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- pandas, python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100