3D curtain in Plotly

[ldr426]

There are two ways to create a 3D curtain in Plotly.

• use Surface
  Every single surface comprises a ribbon. Create ribbons for every depth unit.
  

import plotly.graph_objects as go
surface_colormap=[[1,2],[2,3],[3,4],[4,5],[5,6],[7,8]]
fig= go.Figure(data=go.Surface(
    x=[[1,1],[2,2],[3,3],[3,3],[2,2],[1,1]],
    y=[[1,1],[2,2],[3,3],[3,3],[2,2],[1,1]],
    z=[[2,1],[2,1],[2,1],[1,0],[1,0],[1,0]],
    surfacecolor=surface_colormap,
    colorscale ='Jet', 
    hovertext =surface_colormap
    ))

fig.show()

• use Mesh3D
  use i, j, k indices to conncet three points as a triangle
  

fig= go.Figure(data=go.Mesh3d(
    x=[1,2,3,1,2,3],
    y=[1,2,3,1,2,3],
    z=[1,1,1,2,2,2],
    intensity=[1,2,3,1,2,3],
    i=[0,1,1,4],
    j=[1,3,2,2],
    k=[3,4,4,5],
    colorscale ='Jet',
    ))

fig.show()

[ldr426]

To just get a scatter (data point cloud):

import plotly.graph_objects as go

lon=MVBS_ds.longitude.values[:]
lat=MVBS_ds.latitude.values[:]
depth=MVBS_ds.echo_range.values[:]
plotly_data=[]

for depth in MVBS_ds_spec.echo_range.values:
    plotly_data.append(go.Scatter3d(x=lon, y=lat, z=np.full(len(lon),-depth),
                             mode='markers',
                             marker=dict(
                                 color=MVBS_ds.sel(echo_range=depth).Sv.values,
                                 colorscale='Jet',
                                 opacity=0.5)))

fig = go.Figure(data=data)
fig.show()