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Customizing Plots with Matplotlib
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In the realm of data visualization, creating informative and visually appealing plots is crucial for effectively conveying insights. Matplotlib, a powerful Python library, not only allows you to create a wide range of plots but also provides extensive customization options. In this section, we will explore how to customize plot aesthetics, including colors, labels, and annotations.
Understanding the Basics
Before diving into customization, let's revisit the basics of creating a simple plot:
import matplotlib.pyplot as plt
# Sample data
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