How can I handle errors in NumPy?

How can I handle errors in NumPy?

You can handle errors in NumPy using try-except blocks to catch exceptions like ValueError or IndexError.

Can you give me an example of using try-except with NumPy?

Sure! Here's a simple example:

import numpy as np

try:
    arr = np.array([1, 2, 3])
    print(arr[5])  # This will raise an IndexError
except IndexError as e:
    print(f'Error: {e}')

What other types of errors should I be aware of?

Common errors in NumPy include ValueError, TypeError, and FloatingPointError. Each can be handled similarly.

Is there a way to suppress warnings in NumPy?

Yes, you can use np.seterr() to control how NumPy handles floating point errors and warnings.