How can I customize 3D plots in Jupyter using Plotly?

How can I customize 3D plots in Jupyter using Plotly?

You can customize 3D plots in Jupyter using Plotly by adjusting layout, colors, and markers. Would you like a code example?

Yes, please provide a code example for a 3D scatter plot.

Here's a simple example:

import plotly.graph_objects as go

fig = go.Figure(data=[
    go.Scatter3d(
        x=[1, 2, 3],
        y=[4, 5, 6],
        z=[7, 8, 9],
        mode='markers',
        marker=dict(size=12, color='blue')
    )
])

fig.update_layout(title='3D Scatter Plot')
fig.show()

This will create a basic 3D scatter plot with blue markers.

How can I change the color of the markers based on a third variable?

You can set the marker color to a list of values corresponding to your third variable. Here's an updated example:

import plotly.graph_objects as go

x = [1, 2, 3]
y = [4, 5, 6]
z = [7, 8, 9]
colors = [10, 20, 30]  # Example third variable

fig = go.Figure(data=[
    go.Scatter3d(
        x=x,
        y=y,
        z=z,
        mode='markers',
        marker=dict(size=12, color=colors, colorscale='Viridis')
    )
])

fig.update_layout(title='3D Scatter Plot with Color Scale')
fig.show()

This will color the markers based on the values in the colors list.