Скачать или смотреть When Loading CSV In Pandas, How Do You Choose Columns? - Python Code School

When Loading CSV In Pandas, How Do You Choose Columns? Are you looking to work more efficiently with large CSV files in Python? In this video, we'll show you how to select only the necessary data when loading CSV files using Pandas. We'll explain how to specify particular columns by name or position, helping you save time and reduce memory usage. You’ll learn how to use the usecols parameter effectively, including passing a list of column names or indices, as well as using a function to filter columns based on patterns or conditions. We’ll also cover additional parameters like index_col, names, and header to customize your data import process further. Whether you're handling big datasets or just want to streamline your data analysis workflow, choosing the right columns from the start can make a big difference. This approach keeps your code clean, focused, and faster to execute. By mastering column selection in Pandas, you'll improve your productivity and make your data manipulation tasks more manageable. If you're interested in learning how to work smarter with your data in Python, this video is a must-watch. Subscribe to our channel for more tutorials and tips on Python programming and data analysis.

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About Us: Welcome to Python Code School! Our channel is dedicated to teaching you the essentials of Python programming. Whether you're just starting out or looking to refine your skills, we cover a range of topics including Python basics for beginners, data types, functions, loops, conditionals, and object-oriented programming. You'll also find tutorials on using Python for data analysis with libraries like Pandas and NumPy, scripting, web development, and automation projects.