How do I reduce dicts in Python using NumPy?

To reduce dictionaries in Python using NumPy, you can utilize NumPy's array functionalities to perform operations on numeric data contained in your dictionaries. This allows for efficient mathematical computations and aggregations.


import numpy as np

# Example dictionaries
dict1 = {'a': 10, 'b': 20, 'c': 30}
dict2 = {'a': 5, 'b': 15, 'c': 25}

# Convert dict values to NumPy arrays
values1 = np.array(list(dict1.values()))
values2 = np.array(list(dict2.values()))

# Reduce using sum
reduced_sum = np.add(values1, values2)

# Convert back to dictionary
reduced_dict = dict(zip(dict1.keys(), reduced_sum))
print(reduced_dict)