Python Plotly 3D Streamtube

[Jimmy]

I am try to plot streamlines from a vector field we measured. As you can see in the 3D Scatter Plot and in the 3D Cone Plot it is a dipole field. I am puzzled, because the Plotly streamline plot will not show anything.

My Attempt

1. Download the data here: Data

2. Apply the following code:

df = pd.read_csv('dipole_field_edited.csv')

######## 3D Scatter Plot ########
fig = px.scatter_3d(df, 
                    x='x', 
                    y='y', 
                    z='z',
                    color='Mod',
                    size='Mod',
                    size_max=20)
fig.show()

######## 3D Cone Plot ########
fig = go.Figure(data = go.Cone(
    x=df['x'],
    y=df['y'],
    z=df['z'],
    u=df['V_x'],
    v=df['V_y'],
    w=df['V_z'],
    sizeref=10))

fig.update_layout(scene=dict(aspectratio=dict(x=1, y=1, z=0.8),
                             camera_eye=dict(x=1.2, y=1.2, z=0.6)))

fig.show()

######## 3D Streamtube Plot ########

fig = go.Figure(data=go.Streamtube(
    x = df['x'],
    y = df['y'],
    z = df['z'],
    u = df['V_x'],
    v = df['V_y'],
    w = df['V_z'],
    sizeref = 5.0,
    colorscale = 'Portland',
    maxdisplayed = 3000
))

fig.update_layout(
    scene = dict(
        aspectratio = dict(
            x = 1,
            y = 1,
            z = 1
        )
    ),
    margin = dict(
        t = 20,
        b = 20,
        l = 20,
        r = 20
    )
)

fig.show()

It seems that Plotly Streamtube does not even see the vectors and their distribution.

I also tried to specify the starting positions, without any help

starts = dict(
        x = [490] * len(Y),
        y = Y,
        z = [240] * len(Y)
    ),

with

Y=[280.0, 280.0, 280.0, 290.0, 300.0, 310.0, 320.0, 330.0, 350.0, 360.0, 380.0, 390.0, 410.0, 420.0, 430.0, 450.0, 460.0, 480.0, 490.0, 520.0, 550.0, 560.0, 580.0, 620.0, 640.0, 650.0, 690.0, 700.0, 710.0, 720.0, 720.0]

But without any success. Can anybody help?