Specify axis ordering for specific facet in multi-facet plot
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- Python
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Description
Correct me if I am wrong, but it is not possible(?) to create a multi-facet plot with continuous facets where one of the facets reverses the x (y) axis in a particular facet. For example if I have:
df = pd.concat([
pd.DataFrame({'x': [1, 2, 3, 4, 5, 6, 7, 8], 'level': [2, 4, 9, 25, 36, 49, 64], 'pane': 'left'}),
pd.DataFrame({'x': [1, 2, 3, 4, 5, 6, 7, 8], 'level': [1, 3, 8, 24, 30, 40, 55], 'pane': 'right'})
])
(ggplot() +
geom_area(aes(x='x', y='level', fill='pane'), data=df) +
facet_grid(". ~ pane"))
Supposing that I want the 'left' pane to be ordered from 8 downto 1 and the 'right' ordered from 1 to 8, is it possible to accomplish this in the same ggplot()?
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Research direction
Start with the facet_grid entry point and reproduce the supplied geom_area example to inspect how continuous facet axes are ordered. Determine whether per-facet reversal can be specified independently, and define completion as supporting the requested opposite ordering for the left and right panes in one plot, with coverage for that behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- pandas, python
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100