How to Create Interactive 3D Scatter Plots using Python (in 2 minutes)
Learn how to create stunning 3D interactive scatter plots in Python using Matplotlib and Plotly! This tutorial walks you through generating three-dimensional visualizations, allowing you to rotate, zoom, and explore datasets with ease. 3D plotting is widely used in data science, machine learning, and scientific computing for better data visualization and analysis.
✅ What You’ll Learn:
✔️ How to create a 3D scatter plot using Matplotlib
✔️ How to make interactive 3D plots with Plotly
✔️ How to customize labels, colors, and markers
✔️ When to use 3D plots in data science & finance
📌 Code from Tutorial:
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import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
Generate Random Data
x = np.random.rand(50)
y = np.random.rand(50)
z = np.random.rand(50)
Create Figure and 3D Axis
fig = plt.figure(figsize=(8,6))
ax = fig.add_subplot(111, projection='3d')
Scatter Plot
ax.scatter(x, y, z, c='blue', marker='o')
Labels
ax.set_xlabel("X Axis")
ax.set_ylabel("Y Axis")
ax.set_zlabel("Z Axis")
ax.set_title("3D Scatter Plot")
plt.show()
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