Custom fill_value for from_dataframe/from_series
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- Dominant language
- Python
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- Avg merge
- 2d 15h
- Merged PRs (30d)
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Description
It would be to have the option to customize the fill value when creating an xarray objects from pandas, instead of requiring to always be NaN.
This would probably be especially useful when creating sparse arrays (https://github.com/pydata/xarray/issues/3206), for which it often makes sense to use a fill value of zero. If your data has integer values (e.g., it represents counts), you probably don't want to let it be cast to float first.
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 locating the from_dataframe and from_series entry points and reading how pandas values are converted and missing values are filled. Define the option's behavior for custom values such as zero, including integer data, then add coverage for the conversion cases described in the issue and verify that sparse-array use is supported.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- pandas, python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100