Better handling of custom plot aspect

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#396 11 comments 0 reactions 0 assignees View on GitHub

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
35/100
Issue type
Bug
Clarity
Needs clarification
Activity status
Stale
Tech stack
matplotlib, python
Domain
data-visualization

Research direction

Start by reproducing the reported EIS data cube plots with eiscube.plot() and eiscube.plot(aspect=0.1) using the stated NDCube 2.0-pre and matplotlib 3.3.4 versions. Trace how the custom aspect is handled and identify the expected behavior from the existing plot output and comment discussion. Done means custom aspect values produce a useful, correctly scaled plot.

Written by the indexing model from the issue text.

Description

Plotting an EIS data cube produces the following plot on the left, which is not very helpful. In an attempt to improve matters, I used eiscube.plot(aspect=0.1), which is shown on the right, which is even worse!
Screenshot 2021-02-08 at 20 48 42 Screenshot 2021-02-08 at 20 49 00
It looks like there needs to be some cleverer handling of custom plot aspects.

This is on NDCube 2.0-pre, and matplotlib 3.3.4

Dominant language
Python
Stars
49
Forks
56
Avg merge
5h 54m
Merged PRs (30d)
9

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