Advanced Row Handling in Pandas: Tips and Tricks | Slicing скачать в хорошем качестве

Advanced Row Handling in Pandas: Tips and Tricks | Slicing

In this video, we delve into row selection in Pandas, continuing from the previous episode on column selection. We explain the usage of loc and iloc for selecting rows by labels and integer indices respectively. The video covers selecting single and multiple rows, using ranges, slicing, copying rows, and dropping rows from a DataFrame. Learn how loc and iloc differ and its specific use cases, along with practical examples to solidify your understanding. Check the description for the dataset used. 🔥 codeRECODE.com EXCLUSIVE ⮕ Become a member and get access to all the courses on my site: https://coderecode.com/membership ⮕ Take the course on Scrapy Basics for $1 or free 😀 (Use coupon code FREE on checkout page) https://coderecode.com/scrapy-crash-c... 🎥 RELATED VIDEOS ⮕ Numpy Playlist:    • NumPy   ⮕ Pandas Playlist:    • Pandas MEGA Course   🔓 SOURCE CODE https://github.com/eupendra/learning-... 📠 GEAR I USE and RECOMMEND Note: These are affiliate links. I get a small commission if you click on these links and buy. This does not cost you anything. ⮕ Røde PodMic Amazon US - https://amzn.to/3FeWjzo Amazon India - https://amzn.to/2YkRVhq ⮕ Audio Interface - Focusrite Scarlett 2i2 Amazon US - https://amzn.to/3a16Obc Amazon India - https://amzn.to/3Ddj598 📕 CHAPTERS 00:00 Introduction to Selecting Rows in Pandas 00:32 Understanding df.loc and df.iloc 01:27 Selecting Multiple Rows and Columns 03:32 Advanced Row Selection Techniques 05:02 Copying and Dropping Rows 08:19 Using Labels with df.loc #pandas #python #codeRECODE #upendra