Support log axes for `histogram2dcontour` plots
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bug
P3
- Dominant language
- Python
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Description
No log scale works:
import plotly.express as px
import plotly.graph_objects as go
df = px.data.gapminder().query("year == 2007")
fig = go.Figure()
scat = px.scatter(df, x="gdpPercap", y="lifeExp", hover_name="country", log_x=True)
contour = go.Histogram2dContour(x=df.gdpPercap, y=df.lifeExp)
fig.add_trace(contour)
fig.show()
With log scale:
import plotly.express as px
import plotly.graph_objects as go
df = px.data.gapminder().query("year == 2007")
fig = go.Figure()
scat = px.scatter(df, x="gdpPercap", y="lifeExp", hover_name="country", log_x=True)
contour = go.Histogram2dContour(x=df.gdpPercap, y=df.lifeExp)
fig.add_trace(contour)
fig.update_xaxes(type="log")
fig.update_yaxes(type="log")
fig.show()
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First steps
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Research direction
Reproduce the provided Python example with Histogram2dContour and log-scaled x and y axes, then trace the contour plot's axis handling in the Plotly graphing stack. Done means log-scaled axes render correctly for the contour plot and regression coverage verifies the behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 52/100