Visibility of user defined attributes in numpy ndarray subclasses
@heejaechang is already working on this.
Since Dec 4, 2024.
Assessment
This issue has not been assessed yet.
Description
Hello everyone,
I'm not 100% sure if this is the correct address to make this request but the issue/request I have is as follows:
When subclassing numpy arrays to add attributes/properties on top of the numpy array, all of the properties get packed into the __internals__ special variable. While all values are gathered and correctly displayed, it is quite inconvenient to have them be bunched into the __internals__ variable.
I included the two example images to show the problem:
Where the attribute is located:
vs. where you probably want to see the attribute:
- Dominant language
- Python
- Stars
- 2.5k
- Forks
- 202
- Avg merge
- 5d 1h
- Merged PRs (30d)
- 1
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.
More from microsoft/debugpy
-
Difficulty 2/5 1-3 hours Newbie friendliness 78/100
-
documentation
Difficulty 2/5 1-3 hours Newbie friendliness 68/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 78/100
-
documentation
Difficulty 2/5 1-3 hours Newbie friendliness 62/100
-
Difficulty 3/5 1-2 days Newbie friendliness 68/100
All issues in microsoft/debugpy
Similar issues
-
enhancement
Difficulty 2/5 1-3 hours Newbie friendliness 70/100
canonical/paas-charm#368 · 1 comment ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
-
tech debt
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
-
Difficulty 1/5 Under an hour Newbie friendliness 90/100
StevenBlack/hosts#3256 ·
-
Difficulty 1/5 Under an hour Newbie friendliness 90/100
qualcomm/qai-appbuilder#275 ·