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()