axis_scale='unit' centres on the mean, so skewed data sit off-centre
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评估
- 难度
- 4/5
- 预计耗时
- 3-5 天
- 新手友好度
- 22/100
- Issue 类型
- 缺陷
- 描述清晰度
- 基本清楚
- 活跃度
- 活跃
- 技术栈
- matplotlib, plotly, python
调研方向
The centring logic for axis_scale='unit' is the starting point, and the issue traces it to the mean rather than the midrange. Run tests/test_gh141_marker_line_smoothing.py and tests/test_plot_audit_b1.py::TestStaticLineDataFidelity first, since these five tests encode the current placement and will fail under the change. The issue defers this to 1.2 and it touches every 2-D and 3-D figure, so confirm scope with maintainers before editing.
由索引模型根据 Issue 内容生成。
描述
With the default axis_scale='unit', each axis is centred on the data's mean, not its midrange. Skewed data therefore sit off-centre in the plot box.
Measured during the 1.1 release review (candidate c433b8f0):
hyp.plot(...)2-D on a random-walk fixture (feature tourPLOT-basic-*): the trajectory fills the top two-thirds of the box and the bottom third is empty. Matplotlib and plotly behave the same.weights_sample: every axis mean maps to about +0.13. Per axis, 72–76% of points sit above the centre, and 41% fall in the upper octant.- A lognormal array: means map to about −0.85, and 0.7% of points per axis sit above the centre. The data fill the lower corner.
Centring each axis on its midrange (min + max) / 2 would fill the box. It changes how every 2-D and 3-D figure looks. On a patched copy, 5 tests that encode the current placement fail: 3 in tests/test_gh141_marker_line_smoothing.py and 2 in tests/test_plot_audit_b1.py::TestStaticLineDataFidelity. Every gallery image, tutorial output and screenshot would need regenerating, so this is deferred from 1.1 to 1.2.
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