![]() ![]() ![]() Each solutions comes with pros and cons, and choosing the best one is a matter of personal taste and project constrains. In this post, we saw 4 different ways of flattening a dictionary in Python. Regardless, I still think the pros outweigh the cons in this case. And sometimes authors abandon their projects, which introduces risk to your project. Just as fast and memory efficient as the solution using generators.Ĭons: It is still an external library, and like many open-source tools, if there's a bug you need to wait for the author to fix it. Allows accessing nested elements in two different ways. Pros: Easy to understand, and it just works, and it's a lightweight library. Peak memory: 45.21 MiB, increment: 0.14 MiB Items.extend(flatten_dict(v, new_key, sep=sep).items()) New_key = parent_key + sep + k if parent_key else k from collections.abc import MutableMappingĭef flatten_dict(d: MutableMapping, parent_key: str = '', sep: str ='.') -> MutableMapping: We can start by type hinting it to improve readability and make it type safe. I'm going to draw inspiration on that function and show a slightly improved version. The first answer shows a recursive function that traverses the dictionary and returns a flattened instance. How to Flatten a Dict in Python Using your Own Recursive FunctionĪ quick look at Google leads us to stackoverflow. Using your Own Recursive Function + Generators.PS: If you don’t have Python 3.7 you can install it using pyenv and even have multiple versions at the same time with no conflict. The goal of this post is to provide you many options for this problem and give you as much data as possible so you can make an informed decision. Choosing the best solution for a problem requires weighting the benefits of one solution over another. Python is a versatile language, meaning you can achieve the same goals in several ways. The other is that it’s easier to navigate and manipulate it, since a flat structure is one level deep. One is that it makes it simpler to compare two dicts. In my opinion, the use of a dict to store the initial authors is a bit overkill since youre not using any property of that. Whereas is operator checks whether both the operands refer to the same object or not. ![]() There are many reasons you would need a flattened dictionary. In Python, the operator compares the values of both the operands and checks for value equality. Why Should You Know How to Flatten a Dict in Python? For this tutorial, I ran all examples on Python 3.7. For each method I’ll point out the pros and cons, and I'll give a quick performance analysis. In this post, we’ll look at 4 different ways to flatten a dict in Python. ![]()
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