constraining axes leads to paper coordinates being off and to extra space between plot area and annotations
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- Python
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描述
If I constrain the x-axis, a legend to the right of the plot area shows up too far to the right and paper coordinates x=0 and x=1 are no longer at the edges of the plot area. Paper coordinate x=1 should always be the right edge of the plot area. There should not be excessive trapped white space between the legend and the plot area. The constrained, no-width behavior should be similar to the unconstrained and constrained-with-width behaviors.
Here I reproduce the problem using the documentation example here:
https://plotly.com/python/axes/#fixed-ratio-axes
I'm happy to provide and diff the output JSON if that would be helpful
import plotly.graph_objects as go
fig = go.Figure()
fig.add_trace(go.Scatter(
x = [0,1,1,0,0,1,1,2,2,3,3,2,2,3],
y = [0,0,1,1,3,3,2,2,3,3,1,1,0,0],
name="demo"
))
##Add some elements outside the main plot area
fig.update_layout(
title=dict(text="Source: Plotly Bug Report",
yref="container",
xref="paper",
xanchor="right",
x=1, y=0.005),
showlegend=True
)
#the current layout is reasonable -- the legend is close to the plot area and x=1 in paper coordinates is where we expect it.
fig.show()
#now we constrain the domain and it injects lots of space between the plot area and the legend
#paper coordinates no longer reference the plot area -- paper coordinate x=1 is well to the right of the plot area
fig.update_xaxes(
range=[-1,4], # sets the range of xaxis
constrain="domain", # meanwhile compresses the xaxis by decreasing its "domain"
)
fig.update_yaxes(
scaleanchor = "x",
scaleratio = 1
)
fig.show()
#now we specify the width and the layout becomes reasonable again
fig.update_layout(
width = 800,
)
fig.show()
unconstrained graphic (expected behavior):
constrained graphic (unexpected behavior)
constrained graphic with width (expected behavior)
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研究方向
從連結的文件頁面中的固定比例座標軸範例開始,執行報告中展示的三種版面配置變體。比較受約束的無寬度結果與無約束結果和明確寬度結果;當 paper x=1 與繪圖區域的右邊緣對齊,且繪圖與圖例或註解之間不再有過多空白時,即表示完成。
由索引模型根據 Issue 內容生成。
評估
- 技術堆疊
- python
- 領域
- data-visualization
- Issue 類型
- 缺陷
- 難度
- 4/5
- 預估耗時
- 3-5 天
- 活躍度
- 停滯
- 描述清晰度
- 基本清楚
- 新手友好度
- 35/100