plotly 3d surface as the surf command from Matlab

[tinix84]

Hi I’m trying to obtain a plotly 3d surface as the surf command from Matlab here below

what I would like is to have the wireframe, the coloscale and the hover.

my input is just a CSV as with 3 columns current, voltage, energy

Any idea or help?

My actual code is:

`def plot_switching_energy_map(switching_map):

# Initialize figure with 4 3D subplots
fig = make_subplots(rows=2, cols=2, specs=[[{'type': 'scene'}, {'type': 'scene'}],[{'type': 'scene'}, {'type': 'scene'}]])

current_grid, voltage_grid = np.meshgrid(switching_map.voltage, switching_map.current)
eon_grid = interpolate.griddata((switching_map.current, switching_map.voltage), switching_map.eon, (current_grid,voltage_grid), method='cubic', fill_value=0)

Eon_surf = fig.add_trace(go.Surface(x=current_grid, y=voltage_grid, z=eon_grid, 
                colorscale='Viridis',
                name='Eon',
                showscale=True,
                ), row=1, col=1)

Eon_fig = fig.add_trace(go.Scatter3d(x=switching_map.current, y=switching_map.voltage, z=switching_map.eon, 
                mode='markers',
                name='Eon',
                marker=dict(
                    size=3,
                    color=switching_map.eoff,                # set color to an array/list of desired values
                    colorscale='Viridis',   # choose a colorscale
                    opacity=0.8
                    ),
                ), row=1, col=1)

Eoff_fig = fig.add_trace(go.Scatter3d(x=switching_map.current, y=switching_map.voltage, z=switching_map.eoff, 
                mode='markers',
                name='Eoff',
                marker=dict(
                    size=3,
                    color=switching_map.eoff,                # set color to an array/list of desired values
                    colorscale='Viridis',   # choose a colorscale
                    opacity=0.8
                    ),
                ), row=1, col=2)

# Update xaxis properties
fig.update_xaxes(title_text="current [A]", row=1, col=1)
fig.update_yaxes(title_text="voltage [V]", row=1, col=1)
# fig.update_zaxes(title_text="energy [J]", row=1, col=1)

fig.update_xaxes(title_text="current [A]", row=1, col=2)
fig.update_yaxes(title_text="voltage [V]", row=1, col=2)
# fig.update_zaxes(title_text="energy [J]", row=1, col=2)

fig.update_layout(height=1000, showlegend=True)
fig.show()

`

[gvwilson]

Hi - we are trying to tidy up the stale issues and PRs in Plotly's public repositories so that we can focus on things that are still important to our community. Since this one has been sitting for several years, I'm going to close it; if it is still a concern, please add a comment letting us know what recent version of our software you've checked it with so that I can reopen it and add it to our backlog. Thanks for your help - @gvwilson