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Use Python’s map() function for list operations
Python provides many built-in functions, one of which is very useful is the map() function. The map() function can be used to apply a function to each element in a list, returning a new list. Using the map() function, we can operate on lists quickly and concisely.
The basic syntax of the map() function is as follows:
map(function, iterable)
Among them, function is the function that needs to be applied to each element, and iterable is an iterable object, such as a list, tuple, etc.
Below, we will illustrate the use of map() function through examples.
# 定义一个函数,计算元素的平方 def square(num): return num ** 2 # 定义一个列表 my_list = [1, 2, 3, 4, 5] # 使用map()函数对列表中的每个元素应用函数 result = list(map(square, my_list)) # 输出结果 print(result)
Run the above code, the output result is:
[1, 4, 9, 16, 25]
In the above example, we defined an object named The square function is used to calculate the square of the passed parameters. Then, we define a list called my_list, which contains some numbers. Finally, we use the map() function to apply the square function to each element in my_list and store the results in a new list result. Finally, we print out the results.
# 定义一个函数,将字符串转换为大写 def to_uppercase(string): return string.upper() # 定义一个字符串列表 my_list = ["apple", "banana", "orange", "grape"] # 使用map()函数对列表中的每个元素应用函数 result = list(map(to_uppercase, my_list)) # 输出结果 print(result)
Run the above code, the output result is:
['APPLE', 'BANANA', 'ORANGE', 'GRAPE']
In this example, we define A function called to_uppercase that converts the passed string argument to uppercase letters. Then, we define a list of strings called my_list. Finally, we use the map() function to apply the to_uppercase function to each element in my_list and store the result in a new list result. Finally, we print out the results.
Through the above two examples, we can see that the map() function can very conveniently operate on the elements in the list and return a new list. Using the map() function, we can handle list operations concisely and efficiently, improving code readability and code reusability. At the same time, we can also define various functions to apply to the map() function according to actual needs to achieve more flexible list operations.
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