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Matplotlib & Seaborn

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Seaborn is a high-level interface built on top of Matplotlib that makes creating beautiful statistical graphics much easier.

Basic Usage (Matplotlib)​

import matplotlib.pyplot as plt
import numpy as np

# Data
x = np.linspace(0, 10, 100)
y = np.sin(x)

# Create a plot
plt.figure(figsize=(8, 4))
plt.plot(x, y, label="sin(x)", color="blue")
plt.title("Sine Wave")
plt.xlabel("X-axis")
plt.ylabel("Y-axis")
plt.legend()
# plt.show()

Basic Usage (Seaborn)​

import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt

# Dummy data
df = pd.DataFrame({
    "Category": ["A", "A", "B", "B", "C", "C"],
    "Values": [10, 12, 15, 14, 8, 9]
})

# Create a beautiful boxplot
sns.boxplot(x="Category", y="Values", data=df)
plt.title("Distribution by Category")
# plt.show()

Why it is essential for AI​

Visualizing data distributions, spotting outliers, and plotting loss curves during training are critical steps in the AI workflow.