Python列表数据排序最新实践案例

numbers = [5, 2, 9, 1, 5, 6]
sorted_numbers = sorted(numbers)  # 升序 [1, 2, 5, 5, 6, 9]
sorted_desc = sorted(numbers, reverse=True)  # 降序 [9, 6, 5, 5, 2, 1]

words = ["banana", "apple", "cherry"]
words.sort(key=len)  # 按长度排序 ['pear', 'apple', 'banana', 'orange']

students = [("Alice", 85), ("Bob", 92), ("Alice", 90)]
sorted_students = sorted(students, key=lambda x: (x[0], -x[1])) 
# 先按姓名升序，相同姓名时按成绩降序
# 输出 [('Alice', 90), ('Alice', 85), ('Bob', 92)]

class Fruit:
    def __init__(self, name, sweetness):
        self.name = name
        self.sweetness = sweetness
fruits = [Fruit('apple', 7), Fruit('banana', 20)]
sorted_fruits = sorted(fruits, key=lambda x: x.sweetness)
# 按甜度排序 [apple, banana]

my_dict = {'apple':4, 'banana':2, 'pear':1}
sorted_items = sorted(my_dict.items(), key=lambda x: x[1])
# 按值升序排序 [('pear',1), ('banana',2), ('apple',4)]

mixed_data = [("apple", 3), ("banana", 3), ("apple", 2)]
stable_sort = sorted(mixed_data, key=lambda x: x[1])
# 输出 [('apple',2), ('apple',3), ('banana',3)]

import numpy as np
arr = np.array([5, 2, 9, 1])
sorted_arr = np.sort(arr)  # 返回排序后的新数组

from functools import cmp_to_key
def custom_cmp(x, y):
    return x - y  # 自定义比较逻辑
sorted_list = sorted(numbers, key=cmp_to_key(custom_cmp))

mixed_list = [3, "apple", 5.2]
sorted_mixed = sorted(mixed_list, key=str)  # 统一转为字符串排序