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This article mainly introduces the relevant knowledge of what matters should be paid attention to in the use of python dictionary merging, the content is detailed and easy to understand, the operation is simple and fast, and it has a certain reference value. I believe you will gain something after reading this python dictionary merger article. Let's take a look at it.

1. Dictionary merging does not conform to the exchange rules.

The merge conforms to the exchange method, but the dictionary association does not (d | e! = e | d).

> {0} | {False} {0} > > {False} | {0} {False}

2. Dictionary merging is not efficient.

The use of multiple dictionaries in similar pipeline writing is not efficient. For example, d | e | f | g | h creates and destroys three temporary mappings.

It is also rare for the PEP author task to merge a large number of dictionaries. If there is such a need, it is best to use explicit loops and on-site merging:

New = {} for d in many_dicts: new | = d

There is only one way to achieve the goal.

The dictionary does not conform to OnlyOneWay's Zen.

4. Dictionary merging is harmful.

Dictionary merging may lose data (values of the same key may disappear), while other forms of merging.

5. Dictionary merging makes the code more difficult to understand.

The merging of dictionaries makes it more difficult for people to understand the meaning of code. To explain the objection, not to quote anyone: when you see spam | eggs, if you don't know what spam and eggs are, you don't know this expression function at all.

This is the end of the article on "what matters should be paid attention to in the use of python dictionary merging". Thank you for reading! I believe you all have a certain understanding of the knowledge of "what should be paid attention to in the use of python dictionary merger". If you want to learn more, you are welcome to follow the industry information channel.

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