1. The difference between Python json.dumps () json.dump ()
Note that cat is the content of the direct output file
Both load and loads are implemented as "deserialization", the difference being in Python (for example):
Loads the python built-in data into a string for memory objects
such as using Json.dumps serialized object D_json=json.dumps ({' A ': 1, ' B ': 2}), where D_json is a string ' {"B": 2, "a": 1} '
D=json.loads (D_json) #{B ": 2," a ": 1}, re-deserialized to dict using load
Load for file handle
If there is a JSON file locally A.json you can d=json.load (open (' A.json '))
Accordingly, dump is to serialize the built-in type to a JSON object and write to the file
2. Sorted and sort
Sorted (iterable, Cmp=none, Key=none, Reverse=false)
3. Define the __init__ method of the person class to accept any keyword arguments in addition to the name, gender, and birth, and assign them all as attributes to the instance.
classPerson (object):def __init__(self,name,gender,birth,**kw): Self.name=name Self.gender=Gender Self.birth=Birth forKey,valueinchKw.items (): setattr (self,key,value) xiaoming= Person ('Xiao Ming','Male','1990-1-1', job='Student')PrintXiaoming.namePrintXiaoming.job
34 Please add a Class property count for the person class, and the Count property will add 1 for each instance, so that you can count the instances of how many of the person you have created altogether.
classPerson (object): Count=0def __init__(self,name): Self.name=name Person.count+ = 1P1= Person ('Bob')PrintPERSON.COUNTP2= Person ('Alice')PrintPERSON.COUNTP3= Person ('Tim')PrintPerson.count
5. Private variables of a class cannot be obtained directly, but can be obtained by means of a method instance or class-Private method
#get through the method of the instanceclassPerson (object):__count=0def __init__(self,name): Self.name=name person.__count+ = 1defget_count (self):returnPerson.__countP1= Person ('Alice') P2= Person ('Tom')PrintP1.get_count ()#= 2#Get By class private methodclassPerson (object):__count=0def __init__(self,name): Self.name=name person.__count+ = 1@classmethoddefget_count (self):returnSelf.__countP1= Person ('Alice') P2= Person ('Tom')PrintPerson.get_count ()#= 2
6. Inheritance and composition of classes
The definition of each class requires inheritance, and if not, it inherits from Object
6.1 Combination: Has relationship
6.2 Inheritance: Is relationship
Example:
class Person (object): def __init__ (self, Name, gender): = name = genderclass Teacher (person): def__init_ _(self, name, gender, course): Super (teacher,self). __init__ (Name,gender) # or person.__init__ (self,name,gender) Self.course = Course
7. polymorphic in Python
Class has an inheritance relationship, and the subclass type can be transformed upward as a parent class type, if we derive student and teacher from person, and both write a WhoAmI () method:
classPerson (object):def __init__(self, Name, gender): Self.name=name Self.gender=GenderdefWhoAmI (self):return 'I am A person, my name is%s'%Self.nameclassStudent (person):def __init__(self, name, gender, score): Super (Student, self).__init__(name, gender) Self.score=scoredefWhoAmI (self):return 'I am a Student, my name is%s'%Self.nameclassTeacher (person):def __init__(self, name, gender, course): Super (Teacher, self).__init__(name, gender) Self.course=CoursedefWhoAmI (self):return 'I am a Teacher, my name is%s'% Self.name
In a function, if we receive a variable x, the result can be printed correctly whether the X is a person, a student, or a Teacher:
defwho_am_i (x):PrintX.whoami () p= Person ('Tim','Male') s= Student ('Bob','Male', 88) T= Teacher ('Alice','Female','中文版') Who_am_i (p) who_am_i (s) who_am_i (t) Run Result: I am a person, my name isTimI am a Student, my name isBobi am a Teacher, my name isAlice
This behavior is known as polymorphism. In other words, the method invocation will work on the actual type of x. S is the student type, it actually has its own WhoAmI () method and the WhoAmI method inherited from person, but calling S.whoami () always finds its own definition, and if not defined, looks up the inheritance chain until it is found in a parent class.
Because Python is a dynamic language, the parameter x passed to the function who_am_i (x) is not necessarily a subtype of person or person. An instance of any data type can, as long as it has a WhoAmI () method:
class Book (object): def WhoAmI (self): return ' I am a book '
This is one of the biggest differences between dynamic and static languages, such as Java. A dynamic language invokes an instance method, does not check the type, and can be called as long as the method exists and the parameter is correct.
Task
Python provides an open () function that opens a disk file and returns a file object. The file object has a read () method to read the contents of the files:
For example, read the contents from a file and parse it into JSON results:
Import= open ('/path/to/file.json'r') Print json.load (f)
Due to the dynamic nature of Python, json.load () does not necessarily read content from a file object. Any object, as long as the read () method is called a File-like object, can be passed to Json.load ().
Try writing a File-like object that wraps a string R ' [' Tim ', ' Bob ', ' Alice '] ' into a File-like object and parsed by Json.load ().
For
Import JSON class Students (object): def Read (self): return ' ["Tim", "Bob", "Alice"] ' = Students ()print json.load (s)
8. Special methods for Python classes
It should be stated that for simple numbers you can use the built-in CMP () function for sorted ()
But if it's not just numbers or not simple letters, we need to define our own __cmp__ ()
Define the __cmp__ () function, you can use CMP () to prioritize, CMP () is ascending,-cmp () is descending
Example
classStudent (object):def __init__(self, Name, score): Self.name=name Self.score=scoredef __str__(self):return '(%s:%s)'%(Self.name, Self.score)__repr__=__str__ def __cmp__(self, s):ifSelf.score = =S.score:returnCMP (self.name,s.name)return-CMP (self.score,s.score) L= [Student ('Tim', Student), ('Bob', Student), ('Alice', 99)]PrintSorted (L)#results returned: [(alice:99), (tim:99), (bob:88)]
Python scattered functions