What are NumPy record arrays and how do I use them?

What are NumPy record arrays and how do I use them?

NumPy record arrays are a structured array that allows you to store heterogeneous data types in a single array. You can access fields by name.

Can you give me an example of creating a record array?

Sure! You can create a record array using numpy.array with a structured dtype. For example:

import numpy as np

data = np.array([(1, 'Alice', 25), (2, 'Bob', 30)], dtype=[('id', 'i4'), ('name', 'U10'), ('age', 'i4')])

How do I access a specific field in the record array?

You can access a specific field using the field name. For example, data['name'] will give you the names in the record array.

Can I modify the values in a record array?

Yes, you can modify values just like you would in a regular NumPy array. For example, data[0]['age'] = 26 will change Alice's age to 26.