PythonThe concept of serialization is simple. There is a data structure in memory that you want to save, reuse, or send to others. What would you do? It depends on how you want to save it, how to reuse it, and who to send it to. Many games allow you to save your progress when you exit, and then go back to where you left off when you started again. (In fact, many non-gaming programs do the same) in this case, a data structure that captures the current progress needs to be saved to the hard disk w
reconstruct the Object. When reading from a file, for Python's built-in (built-in) objects (such as integers, dictionaries, tables, and so on), it is not necessary for us to define classes in the program because their class definitions are already loaded into memory. But for a user-defined object, the class must be defined before the object can be loaded from the file (such as an object in the basic object-oriented concept summer).Pickle BagFor the a
Original Author: pzxbc Source: Http://pzxbc.cnblogs.com/python's Pickle module achieves basic data sequence and deserialization. Through the serialization of the Pickle module we are able to save the object information running in the program to a file, to store it permanently, and through the Pickle module's deserialization, we are able to create from the file th
1. Object PersistenceIf you want to store Python objects transparently without losing information such as their identity and type, you need some form of object serialization:It is a process of turning arbitrarily complex objects into text or binary representations of objects. Similarly, you must be able to restore an object to its original object in a serialized form.In Python, this serialization process, called Pickle, can be used to
This example describes the Python pickle module usage. Share to everyone for your reference. The specific analysis is as follows:
The pickle provides a simple persistence feature. You can store the object as a file on disk.
Pickle.dump (obj, file[, Protocol])
Serializes the object and writes the resulting data stream to the file object. The parameter protocol is a serialization mode with a default value of
Pickle is a Python data interaction that serializes the data and reads it when neededSerialization of Pickle#-*-Coding:utf-8-*-__author__ = "MuT6 sch01ar" import pickledef Test (): print (' test ') info = { ' name ': ' John ', c2/> ' age ': $, ' sex ': ' Male ', ' func ': test}f = open (' Pickle.txt ', ' WB ') #pickle序列化生成的数据为二进制f. Write ( Pickle.dump
The Pickle module consists of the dumps () function, the loads () function, the dump () function, and the load () function.#pickle. Dumps (' object ') #序列化对象, the return value cannot be read directly#pickle. Dump (' object ', f) #序列化对象到文件中#pickle. Loads (' object ') #反序列化对象#
Python's pickle module implements basic data sequence and deserialization. Through the serialization of the Pickle module we are able to save the object information running in the program to a file, to store it permanently, and through the Pickle module's deserialization, we are able to create from the file the last object saved by the program.
Basic interface:
1. What is permanent storage"Persistent storage" is the use of data in code, such as lists, dictionaries, and so on, to be stored in a binary way on our computer's disk, or a database, or transmitted over a network to another computer2. Pickle Module (Kimchi module)With the Pickle module, we can easily convert the list, dictionary and other data in our code into binary files to disk.3. How to marinate a jar
This article mainly introduced the Python uses the Pickle module realizes "the Adding and deleting" the simple function, has the certain reference value, the interest small partner may consult.
The role of Pickle:
1:pickle.dump (dict,file) converted the dictionary into binary file.
2:pickle.load (file) to convert the binary contents of files into a dictionary
Import p
Two modules for serializationJSON: Used to convert between string and Python data typesPickle: Converting between Python-specific types and Python data typesJSON offers four features: Dumps,dump,loads,loadPickle offers four functions: Dumps,dump,loads,loadWhat type of data can pickle store?
All Python-supported native types: Boolean, Integer, floating-point, plural, string, byte, None.
Lists, tuples, dictionaries, and collections made up
Run error : _pickle. Picklingerror:can ' t pickle The code is as follows:1 #!/usr/bin/env Python32 #-*-coding:utf-8-*-3 4 Importrandom, time, queue5 fromMultiprocessing.managersImportBasemanager6 7 #queue for sending tasks:8Task_queue =queue. Queue ()9 #queue to receive results:TenResult_queue =queue. Queue () One A #QueueManager inherited from Basemanager: - classQueueManager (basemanager): - Pass the - #register two queues on the network, the
To be blunt: object information is saved to a file, and stored permanently!Format: pickle.dump (obj, file, [, Protocol]) Note: Save the object obj to file. Protocol is the protocol version used for serialization, the 0:ASCII protocol, the serialized object is represented by printable ASCII code, 1: The old binary protocol, and the new binary protocol introduced by version 2:2.3, which is more efficient than the previous ones. where protocols 0 and 1 are compatible with older versions of Python.
A binary sequence is stored in the computer's memory.We are able to directly fetch data from the corresponding location of an object, convert it to a text stream (the process is called serialize), and then deposit the text stream into a file.Because Python is involved in the class definition of the object when it is created, so when we read the object from the text, we have to have the class definition of the object handy and know how to reconstruct the object.When reading from a file, for Pytho
Encapsulation is the process of converting a Python data object into a stream of bytes, and unpacking is the inverse of the package, converting bytes in a byte file or byte object into a Python data object, and not unpacking the data from the untrusted data source. Almost any Python data object can be encapsulated and unpacked, mainly including:
None, True,falseintegers, floating-point numbers, complex numbersString, Byte, ByteArray objectTuples, lists, collections, dictionaries containing enca
encapsulation-that is, the object's data can only be accessed through the public interface of the object itself.
also, for some applications, relational database methods may not be ideal. In particular, relational databases do not understand objects. Instead, relational databases forcibly use their own type systems and relational data models (tables), each containing a set of tuples (rows), each containing a fixed number of static type fields (columns). If an application's object
Project on-line requirements have speech and nickname filtering requirements, the client is using Python script, Python script directly using the RE module for regular matching, the first practice is to open the game, each frame compiled 2 regular, but operational requirements inside 100+ a slightly more complex regular style, A compilation on the PC requires 80ms, causing the client to start the time lag.The solution, of course, is to save the regular results compiled by the RE module, and then
Using Python's built-in modules to save, extract data structure objects in Python:
such as lists, dictionaries, collections, and so on.
First import the Pickle module (no installation required):
Import Pickle
To save dictionary data using pickle:
Output_2_3 = open (' P2c_2_3.pkl ', ' WB ')
pickle.dump (P2c_2_3, Output_2_3)
output_2_3.close ()P2c_2_3 is one
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