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Why Do We Need Filtering?

Explore the importance of filtering in data analysis with Python Pandas. Learn how to exclude redundant or unnecessary data by filtering rows and columns, and understand its applications in data cleaning, manipulation, and preparing datasets for tasks like machine learning and promotions. This lesson equips you with foundational knowledge to effectively handle DataFrame filtering.

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One of the most commonly performed operations on a DataFrame is filtering. It essentially involves excluding some values to meet a condition or set of conditions.

When to filter a DataFrame?

We may need to filter for several reasons:

  • We filter when we need ...