In Python, dictionaries (dicts) are unordered collections of items, which means they do not support slicing in the same way that lists do. However, you can create a new dictionary that contains a subset of the original dictionary's key-value pairs using dictionary comprehensions or the `dict` constructor. This is a safe and idiomatic way to achieve dictionary slicing.
original_dict = {'a': 1, 'b': 2, 'c': 3, 'd': 4}
sliced_dict = {k: original_dict[k] for k in ['a', 'b'] if k in original_dict}
print(sliced_dict) # Output: {'a': 1, 'b': 2}
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?