How can I manipulate structured arrays in NumPy?

How can I manipulate structured arrays in NumPy?

You can manipulate structured arrays in NumPy by accessing fields using their names, modifying values, and applying functions.

Can you show me an example of creating a structured array?

Sure! You can create a structured array like this:

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 structured array?

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

What if I want to filter the array based on a condition?

You can filter the array using boolean indexing. For example:

filtered = data[data['age'] > 25]
``` This will give you all entries where age is greater than 25.