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Bug Report: go.Surface doesn't show the outthrust value! #5229

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lhg1992 opened this issue Jun 12, 2025 · 2 comments
Open

Bug Report: go.Surface doesn't show the outthrust value! #5229

lhg1992 opened this issue Jun 12, 2025 · 2 comments
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bug something broken P2 considered for next cycle

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@lhg1992
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lhg1992 commented Jun 12, 2025

I'm coming to report another bug on the go.Surface.
As the code shown below, you can easily get the bug.
The plotly go.Surface only plots the Contour_Val in rectangular shape. It completely ignores those outthrust values in the 'Contour_Val' matrix.

The Matplotlib shows the correct surface(or contour).

import numpy as np
X=np.array([
       [7800.,   7900.,   8000., 8100., 8200., 8300., 8400., 8500.],
       [7800.,   7900.,   8000., 8100., 8200., 8300., 8400., 8500.],
       [7800.,   7900.,   8000., 8100., 8200., 8300., 8400., 8500.],
       [7800.,   7900.,   8000., 8100., 8200., 8300., 8400., 8500.],
       [7800.,   7900.,   8000., 8100., 8200., 8300., 8400., 8500.],
       [7800.,   7900.,   8000., 8100., 8200., 8300., 8400., 8500.],
       [7800.,   7900., 8000.00, 8100.00, 8200., 8300., 8400., 8500.],
       [7800., 7900.00, 8000.00, 8100., 8200., 8300., 8400., 8500.],
       [7800.,   7900., 8000.00, 8100., 8200., 8300., 8400., 8500.],
       [7800.,   7900.,   8000., 8100., 8200., 8300., 8400., 8500.],
       [7800.,   7900.,   8000., 8100., 8200., 8300., 8400., 8500.]])

Y=np.array([
       [3800.,   3800.,   3800., 3800., 3800., 3800., 3800., 3800.],
       [3900.,   3900.,   3900., 3900., 3900., 3900., 3900., 3900.],
       [4000.,   4000.,   4000., 4000., 4000., 4000., 4000., 4000.],
       [4100.,   4100.,   4100., 4100., 4100., 4100., 4100., 4100.],
       [4200.,   4200.,   4200., 4200., 4200., 4200., 4200., 4200.],
       [4300.,   4300.,   4300., 4300., 4300., 4300., 4300., 4300.],
       [4400.,   4400., 4400.00, 4400.00, 4400., 4400., 4400., 4400.],
       [4500., 4500.00, 4500.00, 4500., 4500., 4500., 4500., 4500.],
       [4600.,   4600., 4600.00, 4600., 4600., 4600., 4600., 4600.],
       [4700.,   4700.,   4700., 4700., 4700., 4700., 4700., 4700.],
       [4800.,   4800.,   4800., 4800., 4800., 4800., 4800., 4800.]])

Contour_Val= np.array([
       [          np.nan,         np.nan,         np.nan,         np.nan,         np.nan,         np.nan,         np.nan,         np.nan],
       [          np.nan,         np.nan,         np.nan, 12169.04428749,         np.nan,         np.nan,         np.nan,         np.nan],
       [          np.nan,         np.nan,         np.nan, 12128.33946596, 12114.37604446,         np.nan,         np.nan,         np.nan],
       [          np.nan,         np.nan, 12146.50058674, 12110.75061221, 12094.0645444 ,         np.nan,         np.nan,         np.nan],
       [          np.nan,         np.nan, 12154.96379352, 12116.42568321,         np.nan,         np.nan,         np.nan,         np.nan],
       [          np.nan,         np.nan, 12186.79247811, 12145.38853514,         np.nan,         np.nan,         np.nan,         np.nan],
       [          np.nan,         np.nan, 12241.85245564, 12197.51679624,         np.nan,         np.nan,         np.nan,         np.nan],
       [          np.nan, 12385.14869121, 12319.78169639,         np.nan,         np.nan,         np.nan,         np.nan,         np.nan],
       [          np.nan,         np.nan, 12419.96884955,         np.nan,         np.nan,         np.nan,         np.nan,         np.nan],
       [          np.nan,         np.nan,         np.nan,         np.nan,         np.nan,         np.nan,         np.nan,         np.nan],
       [          np.nan,         np.nan,         np.nan,         np.nan,         np.nan,         np.nan,         np.nan,         np.nan]])


# %% matplotlib version
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(1,1,1, projection='3d')
ax.set_proj_type('ortho') 
ax.axis('equal')
surf = ax.contourf(X, Y, Contour_Val, zdir='z', 
                offset=50,  # plot at z=offset
                cmap='jet')
ax.set_xlim([X.min(), X.max()])
ax.set_ylim([Y.min(), Y.max()])
ax.set_zlim([0, 100])

ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.view_init(elev=90, azim=0)

# show the figure
plt.show()
# %% plotly version
'''
bug: the outthrust values are not plotted!
'''
import plotly.graph_objects as go

plotz=50
Z=np.full_like(Contour_Val, plotz)
mask = np.isnan(Contour_Val) # mask for NaN values
Z[mask]=np.nan  # apply mask to Z

fig = go.Figure()
fig.add_trace( go.Surface(
    x=X.round(2), 
    y=Y.round(2), 
    z=Z.round(2),# plot contour on the plane z=plotz
    surfacecolor=Contour_Val, # use Contour_Val as the surface color

    text=Contour_Val.round(2),
    name='contour',
    
    colorscale='jet',

    showscale=True,
    opacity=0.8,  # <1 to make the contour plane semi-transparent

    hoverinfo='x+y+text+name', # works well

))

fig.show()

Matplotlib version (correct):

Image

Plotly version (wrong):

Image

only those values which form a regular rectangular shape in the matrix are effective in go.Surface plot:

Image

Solution suggestion:
Either modify the go.Surface or the go.Contour to make it possible to plot the 2D contour on any plane in a 3D figure.

Hope this issue can be solved together with [#5157] soon. Thanks!

@gvwilson gvwilson added bug something broken P2 considered for next cycle labels Jun 13, 2025
@gvwilson
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Thanks for the bug reports @lhg1992 - realistically, it'll be quite some time before we can put someone on these, but I'd be very happy to prioritize review of a PR from the community. Thanks - @gvwilson

@lhg1992
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lhg1992 commented Jun 13, 2025

Thanks for the bug reports @lhg1992 - realistically, it'll be quite some time before we can put someone on these, but I'd be very happy to prioritize review of a PR from the community. Thanks - @gvwilson

Thanks for your response.
I'm really looking forward to it. The go.Surface bugs really stop me from transferring my data visulization code from Matplotlib to Plotly.

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