convert csv to json python

Tags: json object writing snippet Python2 SEL connect AST program APE Conversion Preface: Recently help senior to deal with JSON file, need to read into the database, in case it might read data from the database. The data is about the Yelp site: https://github.com/Yelp/dataset-examples,http://www.yelp.com/dataset_challenge/. involves some JSON and SQL issues, whi

The current project data interaction is almost all in jquery, so the process is: front-end page data-"JS Object-" jquery Commit-"python processing, the other is the reverse." Python must not directly deal with JS object data, so to convert the JS object into a python can handle a data format (usually the dictionary dic

A work encounter problem, insert the contents of the Excel file into the MySQL database.The general idea is to convert the Excel file to a CSV file-->csv file read--read data into the MySQL databaseUse Python's two libraries CSV and MYSQLDBHere is the specific code:The database section of the code is not very well docu

Python reads CSV:First you import the CSV library: importcsvdefLoadlist (filename,colmun1=2, colmun2=5): " "reads a coordinate file and returns a list. FileName is the file location + filename, for example: "./jiaodian.csv default Read columns 2nd through 4th"" "zblist=[] with open (filename,'R') as F:reader= Csv.reader (f)#each row is a list, made up of a large list by themcolumn = [ROW[COLMUN1:COLMUN2]

In the course of API testing, it is often encountered that the incoming parameters are complex types, and under Python, it is customary to use dictionaries to represent complex types. But C + + string processing is more mentally retarded, in general C + + will use vector to store complex types, then there is the problem of conversion, the following small section of code to convert the string into a vector o

encoding in json into Chinese characters? Why can't I display it? The result is as follows: $ d = [{"_ id": {"$ id": "4fda7d42741d727c14000000"}, "name ": "commandid identification", "bc": "123456", "pic": "d: pic \ water.jpg", "aid ": "232fd4df3"}] $ c = [{"_ id": {"$ id": "4fdaa7f3741d725816000000"}, "bc": "012345678", "name ": "Could you refer to the article", "cls": {"id": "125", "name": "Could you refer? "}," Std ": {" name ":" Too many characte

] 0eb1a2db91a2bf3fb6275de659a25805 5 [Email protected] 9b08473c992c07e98389ed1c280a634a 6 [Email protected] 7d0710824ff191f6a0086a7e3891641e 7 [Email protected] 448a2bcee09a3b14c22dc000351216b7 8 [Email protected] Dbfba02e366bab58df605d6475189a51 9 [Email protected] 22ddd26d62af8b1c4a216be18fdff5b2 In [9]:%% time DF. T.to_json ("User

1 # ! /Usr/bin/ENV Python 2 # -*-Coding: UTF-8 -*- 3 4 Import JSON 5 6 7 Src_table = { 8 " Quick account for decoration " :{ " Transtype " : " Transaction type " , 9 " Transdate " : " Transaction date " , 10 " Currency " : " Transaction currency " , 11 " Inacct " : U " Capital Inflow account " , 12 " Inamoun

': p = person (' Pet Er ', ') print PIf the instance of person is processed directly through the Json.dumps method, an error is given, because JSON cannot support such an automatic conversion. By using the JSON and Python type conversion tables mentioned above, we can see that the object type is associated with dict, so we need to

python object encoding to a json string. deserialization can be understood as decoding a json string into a python data object. In the standard python library, the json Library and the pickle library are provided to process this

data typesThe JSON module not only handles common python built-in types, but also handles our custom data types, which are often used to handle custom objects.First, we define a class person.class Person (object): Def __init__ (self,name,age): self.name = name Self.age = Age def __repr__ (self): Return ' person Object name:%s, age:%d ' percent (self.name,self.age) if __name__ = = ' __main__ ': p = person (

Conversion of python and json data, reading and writing of json data, use of repr and eval (), and use of jsonreprPython data conversion json Import json # import json package data = [{"id": 1, "username": "zhangshan", "password":

objects.First, we define a class person.classPerson (object):def __init__(self,name,age): Self.name=name Self.age= Agedef __repr__(self):return 'Person Object Name:%s, age:%d'%(self.name,self.age)if __name__=='__main__': P= Person ('Peter', 22) PrintPIf the instance of person is processed directly through the Json.dumps method, an error is given, because JSON cannot support such an automatic conversion. By using the

concept >serialization (serialization): Converts the state information of an object into a process that can be stored or transmitted over a network , in the form of JSON, XML, and so on. deserialization (deserialization): is to read the state of the deserialized object from the storage area (json,xml) and recreate the object.JSON (JavaScript Object Notation): A lightweight data interchange format that is ea