log_y=True produces empty plot
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bug
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- Python
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Description
I have the following case:
import plotly.express as px
df = pd.DataFrame(np.random.randint(0,100,size=(100, 2)), columns=['year', 'type'])
fig = px.density_heatmap(df, x='year', y='type', log_y=True)
fig.show()
The returned plot is only the layout but with no actual values in it.
plotly.version = '4.14.3'
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Research direction
Reproduce the issue with the provided pandas DataFrame and px.density_heatmap(..., log_y=True) example, then trace the density_heatmap entry point and its log-axis handling. Check the relevant existing tests for density heatmaps or logarithmic axes; done means the example renders its data instead of only an empty layout.
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
- Mostly clear
- Newbie friendliness
- 35/100