Generator for array_like
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enhancement
- Dominant language
- Python
- Stars
- 576
- Forks
- 234
- PR merge metrics
- No merged PRs in 30d
Description
To allow for much larger data sets, it would be nice if the array_like argument could accept a generator. This would require the "data structure" for the plot to be a "histogram" (a collection of bins, and for each bin a count/frequency) and probably an additional parameter indicating the sample size (which indicates the bin resolution).
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 array_like argument in the plotting entry point and trace how its data structure is consumed. Investigate the proposed histogram representation and sample-size parameter for generator inputs. Done means larger datasets can be plotted from a generator with defined bin resolution and frequency handling.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100