Given a complex dictionary with nested lists, dictionaries, and strings, the task is to find and extract all occurrences of a specific "id" key. The desired output is an ordered list of strings representing the values of the "id" key.
To achieve this, we delve into the data structure recursively, exploring all levels and extracting the desired key values. Several approaches have been proposed, each with its strengths and weaknesses.
For optimal performance, we introduce the gen_dict_extract function, which outperforms other solutions in both speed and versatility. It works by:
Function | Time (µs/pass) |
---|---|
gen_dict_extract | 0.11 |
find_all_items | 6.03 |
findkeys | 0.15 |
get_recursively | 1.79 |
find | 0.14 |
dict_extract | 0.36 |
Unlike some other approaches, gen_dict_extract ensures robustness by handling strings during recursion. It is also versatile, supporting complex data structures and finding values even in lists or dictionaries.
Finding all occurrences of a key in nested dictionaries and lists efficiently is crucial for various data analysis and extraction tasks. By utilizing the gen_dict_extract function, developers can achieve this task with optimal performance and versatility, even when dealing with complex data structures.
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