How do I copy dicts in Python using NumPy?

In Python, you can copy dictionaries using the NumPy library by converting the dictionary to a NumPy array and then back to a dictionary. This is particularly useful when dealing with large datasets and wanting to manipulate or copy them efficiently.

# Import necessary libraries import numpy as np # Create an original dictionary original_dict = {'a': 1, 'b': 2, 'c': 3} # Convert the dictionary to a structured array array = np.array(list(original_dict.items()), dtype=[('key', 'U10'), ('value', 'i4')]) # Copy the structured array copied_array = array.copy() # Convert back to dictionary copied_dict = dict(copied_array) print(copied_dict) # Output: {'a': 1, 'b': 2, 'c': 3}

copy dict Python NumPy dictionary manipulation structured array

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