20个非常有用的单行Python代码

20个非常有用的单行Python代码

    • 参考

这篇博客将介绍20个Python一行代码。这些单行代码将节省时间,并使代码看起来更清晰、更易读。

  1. 单行for循环
  2. 单行while循环
  3. 单行IF else语句
  4. 单行合并词典
  5. 单行函数:三元运算符或者lambda函数
  6. 单行递归
  7. 单行过滤数组
  8. 单行异常处理
  9. 单行数组转dict
  10. 多变量单行赋值
  11. 单行交换值
  12. 单行排序
  13. 单行读文件
  14. 单行类
  15. 单行分号
  16. 单行print
  17. 单行map
  18. 单行代码:del删除列表多个元素
  19. 单行打印图案 print+* 实现多次相同的打印
  20. 单行代码找到一个数范围内的素数
#  20个有趣的单行python代码
# one_line.py

# 1. 单行for循环

mylist = [200, 300, 400, 500]
# 单行循环
result = []
for x in mylist:
    if x > 250:
        result.append(x)
print(result)  # [300, 400, 500]
# 一行代码方式
result = [x for x in mylist if x > 250]
print(result)  # [300, 400, 500]

# 2. 单行while循环
# Method 1 单个语句
# while True: print(1)  # infinite 1
# Method 2 多个语句
x = 0
while x < 5: print(x); x = x + 1  # 0 1 2 3 4 5

# 3. 单行IF else语句
# 要在一行中编写 IF Else 语句,我们将使用三元运算符。三元的语法是“[on true] if [expression] else [on false]”。
# Example 1 if else
print("Yes") if 8 > 9 else print("No")  # No
# Example 2 if elif else
E = 2
print("High") if E == 5 else print("数据工作室") if E == 2 else print("Low")  # Data STUDIO

# Example 3 only if
if 3 > 2: print('完全正确')  # 完全正确

# 4. 单行合并词典
d1 = {'A': 1, 'B': 2}
d2 = {'C': 3, 'D': 4}
# Method1
d1.update(d2)
print(d1)  # { 'A': 1, 'B': 2, 'C': 3, 'D': 4}
# Method2
d3 = {**d1, **d2}
print(d3)  # {'A': 1, ' B':2,'C':3,'D':4}


# 5. 单行函数:三元运算符或者lambda函数
# Function in one line
# Method1
def fun(x): return True if x % 2 == 0 else False


print(fun(2))  # False
# Method2
fun = lambda x: x % 2 == 0
print(fun(2))  # 真
print(fun(3))  # 假


# 6. 单行递归
# Fibonaci 单行递归示例
def Fib(x): return 1 if x in {0, 1} else Fib(x - 1) + Fib(x - 2)


print(Fib(5))  # 8
print(Fib(15))  # 987

# 7.在一行中过滤数组
mylist = [2, 3, 5, 8, 9, 12, 13, 15]
# Normal way
result = []
for x in mylist:
    if x % 2 == 0:
        result.append(x)
print(result)  # [2, 8, 12]
# 单行方法
result = [x for x in mylist if x % 2 == 0]
print(result)  # [2, 8, 12]

# 8. 单行异常处理
try:
    print(x1)
except:
    print("Error")
# Single line way
exec('try:print(x) \nexcept:print("Error")')  # Error

# 9. 单行数组转dict
# Dictionary in one line
mydict = ["John", "Peter", "Mathew", "Tom"]
mydict = dict(enumerate(mydict))
print(mydict)  # {0: 'John', 1: 'Peter', 2: 'Mathew', 3: 'Tom'}

# 10. 多变量单行赋值
x = 5
y = 7
z = 10
print(x, y, z)  # 5 7 10
# Single line way
a, b, c = 5, 7, 10
print(a, b, c)  # 5 7 10

# 11. 单行交换值
v1 = 100
v2 = 200
temp = v1
v1 = v2
v2 = temp
print(v1, v2)  # 200 100
# One-line value swapping
v1, v2 = v2, v1
print(v1, v2)  # 200 100

# 12. 单行排序
mylist = [32, 22, 11, 4, 6, 8, 12]
# Method1
mylist.sort()
print(mylist)  # # [4, 6, 8, 11, 12, 22, 32]
print(sorted(mylist))  # [4, 6, 8, 11, 12, 22, 32]

# 13. 单行读文件
try:
    with open("log_demo.py", "r") as file:
        data = file.readline()
        print(data)  # Hello world
    # Single line way
    data = [line.strip() for line in open("log_demo.py", "r")]
    print(data)  # ['hello world', 'Hello Python']
except:
    print('error')


# 14. 单行类
class Emp:
    def __init__(self, name, age):
        self.name = name
        self.age = age


emp1 = Emp("a44", 22)
print(emp1.name, emp1.age)  #
# Single line way
# Method 1 Lambda with Dynamic Attributes

Emp = lambda: None;
Emp.name = "a44";
Emp.age = 22
print(Emp.name, Emp.age)

# Method 2
from collections import namedtuple

Emp = namedtuple('Emp', ["name", "age"])("a44", 22)
print(Emp.name, Emp.age)

# 15.单行分号
a = "Python";b = "编程";c = "语言";print(a, b, c)
# Python 编程语言

# 16.单行print
for x in range(1, 5):
    print(x)  # 1 2 3 4
# Single line way
print(*range(1, 5))  # 1 2 3 4
print(*range(1, 6))  # 1 2 3 4 5

# 17.单行map
print(list(map(lambda a: a + 2, [5, 6, 7, 8, 9, 10])))
# [7, 8, 9, 10, 11, 12]

# 18.单行代码:del删除列表多个元素
mylist = [100, 200, 300, 400, 500]
del mylist[1:: 2]
print(mylist)  # [100, 300, 500]

# 19. 单行打印图案 print+* 实现多次相同的打印
print('')  # print #  
# Single line way
print('' * 3)  #       print ( ' ' * 2 ) #    打印( '' * 1 ) # 

# 20. 单行代码找到一个数范围内的素数
print(list(filter(lambda a: all(a % b != 0 for b in range(2, a)),
                  range(2, 20))))
# [2, 3, 5, 7, 11, 13, 17, 19]

参考

  • https://medium.com/@chenyumei8866/20-extremely-useful-single-line-python-codes-bc553ea4832a

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