How do I compare dicts in Python using NumPy?

In Python, you can compare dictionaries using NumPy to assess whether they are equal in shape and contents. This method is particularly useful when working with large datasets that can be represented as arrays. Below is an example of how to compare two dictionaries using NumPy.

import numpy as np # Example dictionaries dict1 = {'a': 1, 'b': 2, 'c': 3} dict2 = {'a': 1, 'b': 2, 'c': 3} dict3 = {'a': 1, 'b': 2, 'c': 4} # Convert dictionaries to NumPy arrays array1 = np.array(list(dict1.items())) array2 = np.array(list(dict2.items())) array3 = np.array(list(dict3.items())) # Compare dictionaries comparison1 = np.array_equal(array1, array2) # True comparison2 = np.array_equal(array1, array3) # False print(f"Are dict1 and dict2 equal? {comparison1}") print(f"Are dict1 and dict3 equal? {comparison2}")

Python NumPy compare dicts dictionaries comparison data analysis

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