Use of Python Generator

Source: Internet
Author: User
Keywords python generator python generator use

We can use lists to store data, but when the data is large, creating a list of stored data will take up memory. The generator is a method that does not take up much computer resources.


def myegg(retlist):

     for i in retlist:
         rec = yield i

mydict = [
     {"name":"Li Zhi","age":31},
     {"name":"Chen Peichang","age":21},
     {"name": "Cheng Jin", "age": 20},
]

b = myegg(mydict)
obj = b.__next__()
print("Like {}, Fang Ling{}".format(obj['name'],obj['age']))
obj2 = b.__next__()
print("Like {}, Fang Ling{}".format(obj2['name'],obj2['age']))
obj3 = b.__next__()
print("Like {}, Fang Ling{}".format(obj3['name'],obj3['age']))


Print the result:

Like Li Zhi, Fang Ling 31
Like Chen Peichang, Fang Ling 21
Like Cheng Jin, Fang Ling 20

Or iterate through the visit, because the generator is also iterable
b = myegg(mydict)
for i in b:
     print("Like {}, Fang Ling{}".format(i['name'], i['age']))
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