Reshaping, Transposing & Stacking in NumPy Explained
Автор: Abbacus Learning
Загружено: 2026-02-25
Просмотров: 3
Описание:
*Reshaping, Transposing & Stacking in NumPy Explained*
In this video, we explore how to transform NumPy arrays using reshaping, transposing, and stacking — three essential operations you’ll use constantly in data analysis and machine learning.
Understanding how to change array structure without changing the underlying data is a powerful skill. Once you master these transformations, working with multi-dimensional data becomes much easier and more intuitive.
In this lesson, you’ll learn:
• How the `reshape()` method works
• The rules behind reshaping arrays correctly
• How `-1` automatically infers dimensions
• What transposing means and how `.T` works
• The difference between row-wise and column-wise stacking
• How to use `vstack()`, `hstack()`, and `concatenate()`
• Real-world examples of when and why to restructure arrays
These concepts are foundational for preparing datasets, building machine learning models, and performing advanced numerical computations.
---
🔗 *Practice Along on GitHub:*
https://github.com/abaccus29/NumPy-Ar...
The more you practice reshaping and stacking arrays, the more confident you’ll become with multidimensional data 🚀
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке:
