Add 2d density plots as alternative to scatterplot
- Dominant language
- Jupyter Notebook
- Stars
- 726
- Forks
- 103
- PR merge metrics
- No merged PRs in 30d
Description
Allow using a density plot instead of a ``discrete_scatter`` inside of ``plot`` (in ``plot_classification_continuous``)
We might even use seaborn:
https://seaborn.pydata.org/tutorial/distributions.html
Or maybe we have to use kdes ourselves. There's also bubble sets:
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=5290706
And several cool ideas here that might be worth exploring:
https://www.ncbi.nlm.nih.gov/pubmed/30136987
I like the voronoi with the bar charts in it for example.
Contributor guide
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Research direction
Start at plot_classification_continuous and trace how plot currently uses discrete_scatter. Review the linked seaborn distributions tutorial and the other cited visualization ideas before narrowing the design. Done means plot supports a defined 2D density alternative to the scatterplot path.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100