Types of Indexing in NumPy Array
There are two types of indexing used in Python NumPy:
- Basic slicing and indexing
- Advanced indexing
- Purely integer indexing
- Boolean indexing
Basic Slicing and Advanced Indexing in NumPy
Indexing a NumPy array means accessing the elements of the NumPy array at the given index.
There are two types of indexing in NumPy: basic indexing and advanced indexing.
Slicing a NumPy array means accessing the subset of the array. It means extracting a range of elements from the data.
In this tutorial, we will cover basic slicing and advanced indexing in the NumPy. NumPy arrays are optimized for indexing and slicing operations making them a better choice for data analysis projects.
Prerequisites
Numpy in Python Introduction
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