How can I use advanced slicing in NumPy?

How can I use advanced slicing in NumPy?

Advanced slicing in NumPy allows you to extract specific elements from arrays using techniques like boolean indexing and fancy indexing.

Can you give me an example of boolean indexing?

Sure! If you have an array arr = np.array([1, 2, 3, 4, 5]), you can get elements greater than 2 with arr[arr > 2], which returns [3, 4, 5].

What about fancy indexing?

Fancy indexing lets you use integer arrays to access elements. For example, arr[[0, 2, 4]] will return the elements at indices 0, 2, and 4.

Are there any performance considerations with these methods?

Yes, fancy indexing can be slower than regular slicing because it creates a copy of the data. It's best to use it when necessary.