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Matplotlib Data Visualization Tutorial• 5 min read
Introduction to Matplotlib & Pyplot
Get started with Matplotlib, understand the Pyplot interface, and render your first customized line chart.
The Foundation of Python Visualization
Matplotlib is the definitive 2D plotting library for Python. Most users interact with it via matplotlib.pyplot, which offers a MATLAB-like procedural interface for creating figures, line charts, labels, and legends.
Basic Line Chart with Pyplot
import matplotlib.pyplot as plt
months = [1, 2, 3, 4, 5, 6]
revenue = [12000, 15000, 14000, 19000, 24000, 31000]
plt.plot(months, revenue, marker='o', color='#2563eb', linewidth=2, label='2026 Sales')
plt.title('Monthly Sales Revenue (USD)')
plt.xlabel('Month')
plt.ylabel('Revenue ($)')
plt.grid(True, linestyle='--', alpha=0.5)
plt.legend()
plt.show()ADVERTISEMENT
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Test Yourself With Exercise
Which submodule of Matplotlib is most commonly imported to create charts with a procedural interface?