1、生成器函数进阶
1.1、send
def generator():
print(123)
content = yield 1
print('=======',content)
print(456)
arg = yield 2
g = generator()
ret = g.__next__()
print('***',ret)
ret = g.send('hello') #send的效果和next一样
print('***',ret)
#结果:
#123
#*** 1
#======= hello
#456
#*** 2
send 获取下一个值的效果和next基本一致
只是在获取下一个值的时候,给上一yield的位置传递一个数据
使用send的注意事项
第一次使用生成器的时候 是用next获取下一个值
最后一个yield不能接受外部的值
1.2、移动数据求平均值
def average():
sum = 0
count = 0
avg = 0
while True:
num = yield avg
sum += num # 10
count += 1 # 1
avg = sum/count
avg_g = average()
avg_g.__next__()
avg1 = avg_g.send(10)
avg1 = avg_g.send(20)
avg1=avg_g.send(30)
print(avg1)
#预激生成器的装饰器
def init(func): #装饰器
def inner(*args,**kwargs):
g = func(*args,**kwargs) #g = average()
g.__next__()
return g
return inner
@init
def average():
sum = 0
count = 0
avg = 0
while True:
num = yield avg
sum += num # 10
count += 1 # 1
avg = sum/count
avg_g = average() #===> inner
ret = avg_g.send(10)
print(ret)
ret = avg_g.send(20)
print(ret)
2、生成器表达式
egg_list=['鸡蛋%s'%i for i in range(10)] #列表推导式
print(egg_list)
egg_list = []
for i in range(10):
egg_list.append('鸡蛋%s'%i)
print(egg_list)
#两种方法的结果相等
#生成器表达式
g = (i for i in range(10))
print(g)
for i in g:
print(i)
3、各种推导式
#30以内所有能被3整除的数
ret = [i for i in range(30) if i%3 == 0] #完整的列表推导式
print(ret)
g = (i for i in range(30) if i%3 == 0) #完整的列表推导式
print(g)
li=[]
for i in g:
li.append(i)
print(li)
# 例三:找到嵌套列表中名字含有两个‘e’的所有名字
names = [['Tom', 'Billy', 'Jefferson', 'Andrew', 'Wesley', 'Steven', 'Joe'],
['Alice', 'Jill', 'Ana', 'Wendy', 'Jennifer', 'Sherry', 'Eva']]
ret = [name for lst in names for name in lst if name.count('e') ==2]
print(ret)
g = (name for lst in names for name in lst if name.count('e') ==2)
print(g)
li=[]
for i in g:
li.append(i)
print(li)
# 将一个字典的key和value对调
mcase = {'a': 10, 'b': 34}
#{10:'a' , 34:'b'}
mcase_frequency = {mcase[k]: k for k in mcase}
print(mcase_frequency)
# 合并大小写对应的value值,将k统一成小写
mcase = {'a': 10, 'b': 34, 'A': 7, 'Z': 3}
#{'a':10+7,'b':34,'z':3}
mcase_frequency = {k.lower(): mcase.get(k.lower(), 0) + mcase.get(k.upper(), 0) for k in mcase}
print(mcase_frequency)
#集合推导式,自带结果去重功能
squared = {x**2 for x in [1, -1, 2]}
print(squared)