Matplotlib is a powerful Python library for creating static, animated, and interactive visualizations. It's widely used in data science and scientific computing for plotting graphs and charts.

Installation 📦

To get started, install Matplotlib using pip:

pip install matplotlib
matplotlib_installation

Basic Plot Types 📈

Here are common plot types with examples:

  • Line Plot 

    import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [5, 7, 4])
plt.show()
    line_plot

  • Bar Chart 

    plt.bar(['A', 'B', 'C'], [10, 20, 15])
plt.show()
    bar_chart

  • Scatter Plot 

    plt.scatter([1, 2, 3], [5, 7, 4], c='red')
plt.show()
    scatter_plot

Customizing Plots 🎨

You can customize colors, labels, and styles:

plt.plot([1, 2, 3], [5, 7, 4], color='blue', linestyle='--', marker='o')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.title('Customized Plot')
plt.grid(True)
plt.show()
custom_plot

Further Reading 📚

For advanced topics, check out our Matplotlib Advanced Tutorial.