How can I perform advanced manipulations with NumPy?

How can I perform advanced manipulations with NumPy?

You can perform advanced manipulations in NumPy using techniques like broadcasting, fancy indexing, and reshaping arrays. What specific manipulation are you interested in?

Can you explain broadcasting with an example?

Sure! Broadcasting allows NumPy to work with arrays of different shapes during arithmetic operations. For example, if you have a 1D array and a 2D array, NumPy will automatically expand the 1D array to match the shape of the 2D array. Would you like to see a code example?

Yes, please provide a code example for broadcasting.

Here's a simple example:

import numpy as np

# 1D array
arr1 = np.array([1, 2, 3])

# 2D array
arr2 = np.array([[10, 20, 30], [40, 50, 60]])

# Broadcasting
result = arr1 + arr2
print(result)

This will output:

[[11 22 33]
 [41 52 63]]

Let me know if you have any questions!

That's great! What about fancy indexing?

Fancy indexing allows you to access specific elements of an array using another array of indices. For example, if you want to select specific rows or columns from a 2D array, you can do so using an array of indices. Would you like a code example for that?