Support for field-major initialization of Record Arrays `np.rec.array(tuple(lists))`
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Description
Request: A convenient (documented) way to construct record arrays from field-major data.
Right now we support AOS (arrays of structs). This request is for SOA (struct of arrays). Just for initialization. Representation remains untouched.
Motivating Example
import numpy as np
x1 = {'header1': [values1], 'header2': [values2]}
x2 = ([values1], [values2])
headers = ('header1', 'header2')
assert all(x1[h].shape == x1[headers[0]].shape for h in headers)
assert len(headers) == len(x2)
assert all(x.shape == x2[0].shape for x in x2)
r1 = np.rec.array(x1)
r2 = np.rec.array(x2, names=headers)
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 at the np.rec.array entry point and trace how tuple and names arguments are currently handled. Define the field-major initialization behavior shown in the motivating example, then add coverage for tuple-of-lists input and matching field names; done means the example works without changing the record-array representation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100