What is advanced indexing in NumPy?

What is advanced indexing in NumPy?

Advanced indexing in NumPy allows you to access and modify array elements using arrays of indices or boolean arrays.

Can you give me an example of how to use it?

Sure! If you have an array a = np.array([[1, 2], [3, 4], [5, 6]]), you can use advanced indexing like a[[0, 2], [1]] to get elements at positions (0,1) and (2,1), which would return [2, 6].

What about boolean indexing?

Boolean indexing allows you to select elements based on conditions. For example, a[a > 3] would return elements greater than 3.

Are there any performance considerations with advanced indexing?

Yes, advanced indexing can be slower than basic indexing because it creates a copy of the data. It's important to consider this for large arrays.