How can I create 3D visualizations in Jupyter Notebooks using Plotly?

How can I create 3D visualizations in Jupyter Notebooks using Plotly?

You can create 3D visualizations in Jupyter Notebooks using Plotly by importing the necessary libraries and using functions like plotly.graph_objects. 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
import numpy as np

# Generate random data
x = np.random.rand(100)
y = np.random.rand(100)
z = np.random.rand(100)

# Create a 3D scatter plot
fig = go.Figure(data=[go.Scatter3d(x=x, y=y, z=z, mode='markers')])
fig.show()

This will create a 3D scatter plot with random points.

What other types of 3D visualizations can I create with Plotly?

You can create various types of 3D visualizations with Plotly, including 3D surface plots, 3D line plots, and 3D mesh plots. Would you like to see an example of one of these?