Normalized Histogram with Marginal producing the wrong plot
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bug
P3
sev-4
- Dominant language
- Python
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Description
Using plotly.express (px) to plot a Histogram with barnorm = 'percent' and marginal = 'histogram' produces a plot where the barnorm is ignored and the raw counts are plotted. I think the output should be a histogram with barnorm = 'percent' and a marginal histogram with the regular counts.
px.histogram(pd.DataFrame({'x': np.random.normal(0, 1, 100),
'col': np.random.choice(['A', 'B'], 100)}),
x='x', color='col', barnorm='percent', marginal='histogram')
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Research direction
Start by running the provided plotly.express histogram example and compare the main histogram with its marginal histogram. Trace the plotly.express histogram path to determine where barnorm is applied, then verify that the main plot uses percent normalization while the marginal histogram retains raw counts.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-visualization
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 42/100