What are some techniques for manipulating NumPy arrays?

What are some techniques for manipulating NumPy arrays?

There are several techniques for manipulating NumPy arrays, including reshaping, slicing, indexing, and broadcasting. Would you like to know more about a specific technique?

Can you explain how to reshape an array?

Sure! You can reshape an array using the reshape() method. For example, if you have a 1D array with 6 elements, you can reshape it into a 2D array with 2 rows and 3 columns using array.reshape(2, 3).

What about slicing? How does that work?

Slicing allows you to access a subset of an array. For instance, if you have an array arr, you can get the first three elements with arr[:3]. You can also slice along specific axes in multi-dimensional arrays.

Can you give an example of broadcasting?

Absolutely! Broadcasting allows you to perform arithmetic operations on arrays of different shapes. For example, if you have a 2D array and a 1D array, NumPy will automatically expand the 1D array to match the shape of the 2D array for the operation.