empty splom in case of two dimensions
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bug
P3
- Dominant language
- Python
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Description
Creating a splom with two dimensions, no diagonal and only the upper or lower half results in an empty figure.
Code that reproduces the issue:
import numpy as np
import pandas as pd
import plotly.graph_objects as go
data = pd.DataFrame({"col1": np.random.rand(10), "col2": np.random.rand(10)})
fig = go.Figure(
go.Splom(
dimensions=[{"label": label, "values": data[label]} for label in data.columns],
diagonal={"visible": False},
showupperhalf=False,
showlowerhalf=True,
),
)
fig.write_html("test.html") # or fig.show()
# Gives me an empty plot. Setting `diagonal` or `showupperhalf` to `True` does give a plot
Expected result
A single scatter plot.
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 with the go.Splom reproduction in the issue, especially the two dimensions, hidden diagonal, and lower-half-only settings. Run the script with fig.show() or fig.write_html() and trace the generated figure behavior. Done means the two-dimensional lower-half-only splom renders its single scatter plot instead of an empty figure.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- numpy, pandas, python
- Domain
- data-visualization
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100