dfm / dfm/corner.py

Support for regularly-gridded data

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Dominant language
Python
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Description

Brilliant code etc., for which thanks.

I'd like to use corner for plotting (arbitrary) data that are already on a regular n-dimensional grid.

Is this supported?

Or do I have to sample from the grid and pass the samples into corner to invert them onto its internal grid..? :\

Thanks

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  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reviewing corner.py's plotting API and how it currently accepts sampled data. Determine whether regularly gridded n-dimensional input is supported, then clarify the desired behavior and add tests for the agreed input and output. The issue has no file, test, or entry point named and has had no activity for years.

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
Needs clarification
Newbie friendliness
25/100

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