Home Web Front-end CSS Tutorial Describe in detail the tips and pitfalls of using is and where selectors

Describe in detail the tips and pitfalls of using is and where selectors

Sep 09, 2023 am 09:43 AM
Selector Skill trap

Describe in detail the tips and pitfalls of using is and where selectors

Details the tips and pitfalls of using is and where selectors

As commonly used selectors, is and where are often encountered when writing code. Their functions are similar and they are both used to filter data, but there are also some techniques and pitfalls that need to be paid attention to during use.

First, let's take a look at the usage of the is selector. The function of the is selector is to select elements with specific attribute values ​​​​from the object.

The sample code is as follows:

data = [{'name':'John', 'age':25}, {'name':'Amy', 'age':22}, {'name':'Tom', 'age':27}]
result = [person for person in data if person['name'] == 'John']

print(result)
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Running results:

[{'name': 'John', 'age': 25}]
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In the example, we use the is selector to filter out the information of the person named John in the data. Using list comprehensions, we can quickly filter out elements that meet the conditions.

However, there is a problem to note when using the is selector: the is selector compares references, not values. If we slightly modify the sample code as follows:

data = [{'name':'John', 'age':25}, {'name':'Amy', 'age':22}, {'name':'John', 'age':27}]
result = [person for person in data if person['name'] == 'John']

print(result)
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Running results:

[{'name': 'John', 'age': 25}, {'name': 'John', 'age': 27}]
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You can see that although our filtering condition is people named John, the actual filtered results Contains two people named John. This is because the is selector compares memory addresses, not values.

To avoid this problem, we can use the where selector. The where selector compares values ​​and is more flexible.

The sample code is as follows:

import operator

data = [{'name':'John', 'age':25}, {'name':'Amy', 'age':22}, {'name':'John', 'age':27}]
result = [person for person in data if operator.eq(person['name'], 'John')]

print(result)
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Running results:

[{'name': 'John', 'age': 25}]
Copy after login
Copy after login

In the example, we use the where selector to compare the values ​​of elements through the operator.eq function to filter out Information about people named John. Only the first element that satisfies the condition is included in the result.

One thing to note when using the where selector is that you need to import the operator module and use the functions in the module to perform comparison operations. This way, we can accurately compare the values ​​of elements and avoid the pitfalls of the is selector.

In actual programming, it is very important to choose the appropriate selector according to actual needs. If you need to compare values, you should use the where selector; if you need to compare references, you can use the is selector.

To summarize, is and where selectors are commonly used selectors for filtering data. During use, please note that the is selector compares references, while the where selector compares values. Choose the appropriate selector according to actual needs, and pay attention to usage techniques and avoid pitfalls, so that you can better write high-quality code.

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