Error in plotly express scatter with continuous_color_scale and marginal_x
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 18.8k
- Forks
- 2.8k
- Avg merge
- 16h 26m
- Merged PRs (30d)
- 21
Description
Hello
i am logging this as i think this might be a bug. I found while building a Dash app but the same issue arises in a a jupyter notebook.
import plotly.express as px
df = px.data.iris()
below, it works as expected:
fig = px.scatter(df, x="sepal_width", y="sepal_length", color="sepal_length",color_continuous_scale='Viridis')
fig
so is the following
fig = px.scatter(df, x="sepal_width", y="sepal_length", color="sepal_length",marginal_x='box')
fig
But the following expression breaks down
fig = px.scatter(df, x="sepal_width", y="sepal_length", color="sepal_length",marginal_x='box',color_continuous_scale='Viridis')
fig

it looks like box marker is using 'V' of Viridis in the color_continuous_scale.
Thanks
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by running the provided Python examples in a Jupyter notebook and compare the working cases with the combination of marginal_x='box' and color_continuous_scale='Viridis'. Trace how that combination builds the scatter and marginal box traces; done means the plot renders without the box marker using an incorrect color from the continuous scale.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- data-visualization
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100