生成器定义:
函数中带yield的就是生成器
1 def foo(): 2 print(1) 3 yield 4 4 print(2) 5 yield 5 6 print(3) 7 yield 6 # 每次执行到yield,没有则报错 8 g=foo() # 产生一个生成器 9 print(g.__next__()) 10 print(g.__next__()) 11 print(g.__next__())
eg:
1 def gen(): 2 for i in range(200): 3 yield i 4 g=gen() 5 for i in range(10): 6 print(g.__next__())
生成器本质就是迭代器,拥有惰性机制,每执行__next__()或者next()才会向下执行取值
eg:
1 def foo(): 2 lst=[1,2,3,5] 3 yield from lst 4 g=foo() 5 print(next(g)) 6 print(next(g)) 7 print(next(g)) 8 print(next(g))
大坑: 生成器函数运行之后. 产生一个生成器. 而不是运行函数
1 def func(): 2 print("我叫周润发") 3 yield "林志玲" # yield表示返回. 不会终止函数的执行 4 print("宝宝干嘛去了??") 5 yield "宝宝回来了" 6 print("宝宝你在干嘛?") 7 # yield "没了" 8 9 ret = func() # 执行函数, 此时没有运行函数.
此时拿到的是生成器
print("返回值是", ret) # <generator生成器 object func at 0x0000000009E573B8>
send() -> __next__()
send()可以给上一个yield位置传值
1 def func(): 2 print("韭菜盒子") 3 a = yield "韭菜鸡蛋" 4 print("a", a) 5 b = yield "韭菜西红柿" 6 print("b", b) 7 c = yield "火烧" 8 print("c", c) 9 10 gen = func() 11 print(gen.__next__()) # 第一个位置用send没有任何意义,报错,除非 gen.send(None) 12 print(gen.send("篮球")) # 给上一个yield位置传值 13 print(gen.send("足球"))
eg:
1 def eat(): 2 print("我吃什么啊") 3 a = yield "馒头" 4 print("a=",a) 5 b = yield "⼤饼" 6 print("b=",b) 7 c = yield "⾲菜盒⼦" 8 print("c=",c) 9 yield "GAME OVER" 10 11 gen = eat() # 获取⽣成器 12 13 ret1 = gen.__next__() 14 print(ret1) 15 ret2 = gen.send("胡辣汤") 16 print(ret2) 17 ret3 = gen.send("狗粮") 18 print(ret3) 19 ret4 = gen.send("猫粮") 20 print(ret4)
列表推导式:
语法:
[结果 语句 条件]
eg:打印1-100偶数的平方
1 lst=[ i**2 for i in range(1,101) if i%2==0] 2 print(lst)
eg:打印名字中带两个e的名字
1 names=[['tom','meiko','jeffer','wesley'],['alice','jill','anee','haeeae']] 2 lst=[name for el in names for name in el if name.count("e")==2] 3 print(lst)
字典推导式:
语法:{结果(key:value)for循环 if条件}
1 lst=[11,22,33] # {0:11,1:22,2:33} 2 dic={i:lst[i] for i in range(len(lst))} 3 print(dic)
集合推导式:
语法:{k for 循环 if 条件}
1 dic={'1':2,'2':'6'} 2 d={i for i in dic.items()} 3 print(d)
生成器表达式:
1 g=(i for i in range(10)) 2 print(g) #<generator object <genexpr> at 0x0000024294CAF4C0> 3 print(g.__next__()) #0 4 print(g.__next__()) 5 print(g.__next__()) 6 print(g.__next__()) 7 print(g.__next__()) 8 print(g.__next__()) 9 print(g.__next__()) 10 print(g.__next__()) 11 print(g.__next__()) 12 print(g.__next__())#9