In Python, chunking dictionaries can be useful when managing large datasets or when you want to process smaller groups at a time. Below are a few methods to achieve this.
# Method 1: Using a generator function
def chunk_dict(data, chunk_size):
keys = list(data.keys())
for i in range(0, len(keys), chunk_size):
yield {k: data[k] for k in keys[i:i + chunk_size]}
# Example usage
my_dict = {'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5}
for chunk in chunk_dict(my_dict, 2):
print(chunk)
# Output:
# {'a': 1, 'b': 2}
# {'c': 3, 'd': 4}
# {'e': 5}
# Method 2: Using list comprehension
def chunk_dict_comprehension(data, chunk_size):
return [{k: data[k] for k in list(data)[i:i + chunk_size]} for i in range(0, len(data), chunk_size)]
# Example usage
my_dict = {'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5}
chunks = chunk_dict_comprehension(my_dict, 2)
for chunk in chunks:
print(chunk)
# Output:
# {'a': 1, 'b': 2}
# {'c': 3, 'd': 4}
# {'e': 5}
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