Extracting Series from a DataFrame
Автор: Naser Nikandish
Загружено: 2026-01-28
Просмотров: 371
Описание:
In this video, we focus on extracting pandas Series from a DataFrame, a fundamental skill for working effectively with tabular data. You’ll learn how columns and rows in a DataFrame can be accessed as Series objects, and how different access methods affect the type and behavior of the returned data.
The video emphasizes understanding what you get back when you select data, which is critical for avoiding subtle bugs and writing predictable analysis code. Examples are kept simple and practical to reinforce best practices.
Topics covered:
How DataFrame columns are represented as Series
Extracting Series using column labels
Row selection as Series
Differences between Series and DataFrame outputs
📂 Code examples and learning materials are available on GitHub:
https://github.com/NaserNikandish/Pyt...
📌 Recommended: Watch pandas DataFrame: Part 1 before this video for full context.
Naser Nikandish
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