pydata / pydata/xarray

Add a `strict` argument to `resample`.

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enhancement
Dominant language
Python
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Avg merge
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Merged PRs (30d)
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Description

Is your feature request related to a problem?

Currently, resample ignores missing timestamps when operating on a time dimension with a fixed frequency.

Describe the solution you'd like

I want to propose adding a strict argument (accepting ignore, warn, or error) to validate timestamp completeness before resampling.

Please let me know your thoughts.

Describe alternatives you've considered

No response

Additional context

No response

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by locating xarray's resample entry point and its existing tests. Review how fixed-frequency resampling currently handles missing timestamps, then define the behavior for strict="ignore", "warn", and "error". Done means completeness is validated before resampling and each mode has test coverage.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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