Learn Matplotlib for data visualization in Python with hands-on examples and clear explanations.
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
import matplotlib.pyplot as plt
plt.plot([1, 2, 3, 4], [1, 4, 9, 16])
plt.show()Plot a simple line graph.
You can customize your plots with titles, labels, and colors to make them more informative and visually appealing.
import matplotlib.pyplot as plt
x = [1, 2, 3, 4]
y = [10, 20, 25, 30]
plt.plot(x, y, color='green', marker='o')
plt.title('Sample Plot')
plt.xlabel('X Axis')
plt.ylabel('Y Axis')
plt.show()Add titles, labels, and customize colors and markers.
Matplotlib supports various plot types, including bar and scatter plots for different data visualization needs.
import matplotlib.pyplot as plt
# Bar plot
plt.bar(['A', 'B', 'C'], [5, 7, 3])
plt.show()
# Scatter plot
plt.scatter([1, 2, 3], [4, 5, 6])
plt.show()Create bar and scatter plots.