How to implement guide with dtype mismatch in np.save when saving structured arrays in numpy 1.24
I'm working on a personal project and I'm working with a question when trying to save a structured NumPy array using `np.save`... The structured array contains different data types, and I'm getting a `TypeError: dtype mismatch` message when I attempt to save it. Here's a minimal example of what I'm doing: ```python import numpy as np # Define a structured array dtype dtype = np.dtype([('name', 'U10'), ('age', 'i4'), ('weight', 'f4')]) # Create an array with mixed types data = np.array([('Alice', 25, 55.5), ('Bob', 30, 70.0)], dtype=dtype) # Saving the structured array to a .npy file np.save('structured_data.npy', data) ``` When I run this code, I get the following behavior: ``` TypeError: dtype mismatch ``` I thought that structured arrays were supported, and I can see the data if I print it. I've tried changing the dtype and ensuring that the data types match, but the behavior continues. Am I missing something, or is there a specific requirement for saving structured arrays in NumPy 1.24? Any insights would be greatly appreciated! The project is a desktop app built with Python. Am I missing something obvious?