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DOC: Options A and A -> Options A and B #11127

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max-sixty merged 3 commits into from
Feb 4, 2026
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DOC: Options A and A -> Options A and B #11127

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DOC: Options A and A -> Options A and B
star1327p Feb 3, 2026
7cb6c57
Merge branch 'pydata:main' into options-a-and-b
star1327p Feb 4, 2026
597a145
DOC: Revise the wording to "Options 1A and 2A"
star1327p Feb 4, 2026
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10 changes: 5 additions & 5 deletions design_notes/flexible_indexes_notes.md
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Expand Up @@ -150,15 +150,15 @@ In general explicit index creation should be preferred over implicit index creat

For which coordinates?

- A. only 1D coordinates with a name matching their dimension name
- B. all 1D coordinates
- 1A. only 1D coordinates with a name matching their dimension name
- 1B. all 1D coordinates

When to create it?

- A. each time when a new Dataset/DataArray is created
- B. only when we need it (i.e., when calling `.sel()` or `indexes`)
- 2A. each time when a new Dataset/DataArray is created
- 2B. only when we need it (i.e., when calling `.sel()` or `indexes`)

Options A and A are what Xarray currently does and may be the best choice considering that indexes could possibly be invalidated by coordinate mutation.
Options 1A and 2A are what Xarray currently does and may be the best choice considering that indexes could possibly be invalidated by coordinate mutation.

Besides `pandas.Index`, other indexes currently supported in Xarray like `CFTimeIndex` could be built depending on the coordinate data type.

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