plotly / plotly/plotly.py

Polar and polar subplot (make_subplots) not displaying correctly in FigureWidget Jupyter Ipython notebook

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bug P3
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Python
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描述

plotly==4.1.1
jupyter==1.0.0
ipython==7.8.0

Plotting a polar in a subplot works fine (#758 resolved in 4.1.1?) but wrapping a polar figure in a FigureWidget and using display causes theta values to become very strange, scattering the data. This happens for subplots and solo polar plots.
This would appear to be a Bug. Any thoughts on a workaround?

import plotly
import plotly.graph_objs as go
import numpy as np
from plotly.subplots import make_subplots

# Data
# the first subplot: a histogram (If using)
trace1 = go.Histogram(
    x=np.random.uniform(1,6,size=62),
)

# the second subplot: a polar graph
trace2 = go.Scatterpolar(
    r = np.random.uniform(1,6,size=62),
    theta = np.random.uniform(30,5,size=62),
    mode='markers',
)

# # # # # # # # # # # # # # # # # # 
# single polar example
# # # # # # # # # # # # # # # # # # 
fig = go.Figure(
    trace2, 
    layout=go.Layout(
        title=go.layout.Title(text="Polar chart - normal fig.show()")
    )
)

fig.show()

# Now wrap in a figure widget and use same traces
# not working correctly

fig.update_layout(go.Layout(
    title=go.layout.Title(text="Polar chart - FigureWidget")
    )
)
fig2 = go.FigureWidget(
    fig,
)
display(fig2)  # allows traces to be added but displays wrong

print("FigureWidget.show()")
fig2.show()  # This will not be updateable with data - just shows base fig

# # # # # # # # # # # # # # # # # # 
# Subplots example
# # # # # # # # # # # # # # # # # # 
# normal use of make_subplots

# make 2 plots sublplot
fig = make_subplots(rows=1, cols=2, specs=[[{}, {'type': 'polar'}]],)
fig.update_layout(go.Layout(
    title=go.layout.Title(text="Polar chart - normal fig.show()")
    ))

fig.append_trace(trace1, 1, 1)

fig.append_trace(trace2, 1, 2)

fig.show()

# Now wrap in a figure widget and use same traces
# not working correctly                
fig2 = go.FigureWidget(make_subplots(rows=1, cols=2, specs=[[{'type': 'bar'}, {'type': 'polar'}]]))

fig2.update_layout(go.Layout(
    title=go.layout.Title(text="Polar chart - FigureWidget")
    ))

display(fig2)  # allows traces to be added but the polar one displays wrong
print("FigureWidget.show()")
fig2.show()  # This will not be updateable with data - just shows base fig

# the first subplot: a histogram
fig2.append_trace(trace1, 1, 1)

# the second subplot: a polar graph
fig2.append_trace(trace2, 1, 2)
                  
print("FigureWidget.show()")
fig2.show() # This fig show will work and display correct data

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调研方向

首先,使用列出的 Python、Jupyter 和 IPython 版本运行所提供的复现程序,并比较独立情况和子图情况下正常的 fig.show() 输出与 FigureWidget 的 display() 输出。当两个 FigureWidget 场景中的极坐标 theta 值都能正确渲染时,即视为完成;该 issue 一开始没有指定源文件或测试。

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评估

技术栈
jupyter, jupyter-notebook, python
领域
data-visualization
Issue 类型
缺陷
难度
4/5
预计耗时
3-5 天
活跃度
停滞
描述清晰度
基本清楚
新手友好度
35/100

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