可迭代对象:
- 能使用
for x in xxx
迭代器:
- 针对的是对象(
class
); - 把一个迭代对象变成迭代器,只需要在普通的对象下面实现两个内置函数:
__iter__
、__next__
- 可以使用
next
- 一次性
#coding:utf8
class BookCollection(object):
def __init__(self):
self.data = ['《往事》','《只能》','《回味》']
self.index = 0
pass
def __iter__(self):
return self
def __next__(self):
if self.index >= len(self.data):
raise StopIteration()
r = self.data[self.index]
self.index += 1
return r
books = BookCollection()
for book in books:
print(book) # 《往事》
# 《只能》
# 《回味》
生成器
- 针对的是函数
#coding:utf8
# 这个只是一个列表
n = [i for i in range(1,11)]
print(n) # [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
print(type(n)) # <class 'list'>
print('=='*20) # ========================================
# 变成小括号,则变成生成器
n = (i for i in range(1,11))
print(n) # <generator object <genexpr> at 0x107e982b0>
print(type(n)) # <class 'generator'>
print(next(n)) # 1
print(next(n)) # 2
print(next(n)) # 3
print(next(n)) # 4
print(next(n)) # 5
print('=='*20) # ========================================
for i in n:print(i) # 6
# 7
# 8
# 9
# 10
print('=='*20) # ========================================
# 函数举例子
def gen0(max):
n = 0
while n<=max:
n+=1
print(n)
print(gen0(9)) # 1
# 2
# 3
# 4
# 5
# 6
# 7
# 8
# 9
# 10
# None
print('=='*20) # ========================================
# 不做打印,yield,生成器
def gen(max):
n = 0
while n<=max:
n+=1
yield n
print(gen(9)) # <generator object gen at 0x105bff308>
for i in gen(9):
print(i) # 1
# 2
# 3
# 4
# 5
# 6
# 7
# 8
# 9
# 10
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