Matplotlib

data visualization

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Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK. Matplotlib is widely used for data visualization in scientific computing, engineering, and data analysis.

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Usage Example

Here’s a simple example of using Matplotlib to create a line plot:

import matplotlib.pyplot as plt
import numpy as np

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

# Create plot
plt.plot(x, y, label='Sine Wave')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.title('Simple Line Plot')
plt.legend()
plt.show()

In this example, NumPy is used to generate data, and Matplotlib’s pyplot module is utilized to create and display a line plot.