pydata / pydata/sparse

A dense axis

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enhancement
Dominant language
Python
Stars
668
Forks
141
Avg merge
2d 8h
Merged PRs (30d)
4

Description

Would it make sense to allow certain axes as dense parts in the otherwise sparse array?

I.e. this could/would allow faster algorithms along the given axes.

In particular when dealing with sparse data with many axes but a few recurring dense axis, such abstraction would be really nice.

Would this be an option or is it too intrusive?

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Research direction

No file, test, or entry point is identified in the issue. First establish whether mixed dense and sparse axes fit the current array model, then define the API and performance criteria; done requires an agreed scope and validation of the proposed algorithms.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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