python json to csv

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Python MongoDB read/write CSV file

Label:#-*-Coding:utf-8-*-Import OSImport CSVImport PymongoFrom Pymongo import mongoclient #建立连接Client = mongoclient (' 10.20.4.79 ', 27017)#client = mongoclient (' 10.20.66.106 ', 27017)db_name = ' Ta ' #数据库名db = Client[db_name] In the Tvsplst collection of #读取CVS文件并插入到mongoDB数据库def Insertdatafromcvs (CSVFile):strfile = Unicode (csvfile, ' UTF8 ')If Os.path.isfile (strfile):ReadFile = File (strfile, ' RB ')Reader = Csv.reader (readFile)i = 0ListKey =[]Sqldict = {}For line in reader:i = i + 1Sql

Python's CSV operation

When using Python crawlers or anything else, the CSV store and read related operations are used, and here we talk about:The CSV (comma-separated values) comma delimiter, which is a semicolon-delimited list of values and values in each record.First, read the documentImportCsv#Import the CSV library fromItertoolsImportIs

Python data is written to a CSV format file

(Just pass, basic knowledge is also the foundation)Python reads the data and stores it in an Excel open CSV format file!The Bs4,csv,codecs,os module needs to be used here.Don't say much nonsense, write code directly! The important content has been commented, the remaining do not understand can be their own query, or QQ group asked me. QQ Group in the past blog!1

Python Merge (splice) multiple CSV files __python

The author recently do data analysis and mining, often encountered to merge the problem of CSV file, just practice python then use Python Pandas library for Stitching, write down and share, we have a better way to welcome comments and exchanges. "' data:2017-07-13 auther; Jxnu Kerwin Description: Use Pandas to stitch multiple

Python read csv file remove a column and then write a new file technology tutorial

This article mainly for you to share a Python read CSV file to remove a column and then write a new file instance, has a very valuable reference, I hope to help you. Follow the small part together to see it, hope to help everyone better grasp the python Two ways to solve the problem are the existing solutions on the Web. Scenario Description: There is a data fil

Python extracts a Web form and saves it as a CSV

('//table[%s]/tr'% (index+1): Writer.writerow ([I.xpath ('string (.)'). Extract_first (). Replace (U ' \xa0 ', U '). strip (). Encode (' utf-8 ', ' replace ') forIinch Tr.xpath ('./* ')]) #xpath组合, limit the tag range,Tr.xpath ('./th |./td ')Code handling. Replace (U ' \xa0 ', U ')HTML escape character npsp; represents non-breaking space,unicode encoded as U ' \xa0 ', beyond the GBK encoding range?Using ' W ' to write a CSV file, the following probl

Python fetch MySQL data and insert into CSV file

How to use a Python script to query the value of a remote database and insert that value into column B as a whole in the CSV "column A" relationship, recently handle a case, Associating python with the obvious advantage of data processing over the shell, the final attempt to script this seemingly simple, but not simple, data processing. Target: Column A is a nu

Python-manipulating Excel, CSV data files

1. Excel file operation#-*-coding:utf-8-*-ImportXlrdworkbook= Xlrd.open_workbook ('D:\\workspace\\eclipse-python\\test\\myexcel.xls') SheetName=workbook.sheet_names ()#crawl the names of all sheet pagesPrint 'Myexcel is', sheetname[0],sheetname[1],sheetname[2]#Navigate to Sheet1Worksheet1=workbook.sheet_by_name (U'"Monthly Work"')#traverse all rows in Sheet1 rowNum_rows=worksheet1.nrowsPrintU'total number of rows =', Num_rows forIinchRange (num_rows):

Python crawls Sina Weibo comment data, written in CSV file

Because Sina Weibo web version crawler is more difficult, so take the mobile web-page crawlThe procedure is as follows:1. Web-site landing Sina Weibo2. Open m.weibo.cn3. Find the topic you are interested in and get the corresponding data interface link4. Access to cookies and headers#-*-coding:utf-8-*-ImportRequestsImportCSVImportOsbase_url='Https://m.weibo.cn/api/comments/show?id=4131150395559419page={page}'Cookies= {'Cookies':' xxx'} headers= {'user-agent':'XXX'}path= OS.GETCWD () +"/weibo.csv

Python writes data to Excel or TXT, read in CSV format or XLS file

1. Write to Excel, you do not need to create a new excel at the beginning, will automatically generateAttribute_proba is the object I wrote.Import XLWT = XLWT. Workbook () = Myexcel.add_sheet ('sheet') si=-1 SJ =-1 for in attribute_proba: si=si+1 for in I: sj=sj+1 sheet.write (Si,sj,str (j)) SJ=-1 myexcel.save ( "attribute_proba_big.xls"2. Write txt, you need to create a new TXT file from the beginning F=open ('f:/goverment/myf

Python file----CSV

1 #-*-coding:utf-8-*-2 " "3 Created on April 20, 20154 5 @author: Liuxue6 7 " "8 ImportCSV9 ImportSYSTen Reload (SYS) OneSys.setdefaultencoding ('Utf-8') A " " -Valuelist=[[]], double-decker list, each element represents a row of data - " " the - defCsvwrite (filename="", mode="", valuelist=[]): -csvfile=file (filename,mode) -Cstwriter=Csv.writer (csvfile) + forIinchRange (len (valueList)): -temp=[] +temp=Valuelist[i] A Cstwriter.writerow (temp) at csvfile.close () - - defCsvread (fil

Python Script---Export data from MySQL database tables to generate CSV format files

Reprint Please specify source: http://blog.csdn.net/guoyjoe/article/details/45841221#!/usr/bin/env python#-*-Coding:utf-8-*-"""Purpose: Generate Daily Summary reconciliation fileCreated:2015/4/27Modified:2015/5/1@author: Guoyjoe"""#导入模块Import MySQLdbImport timeImport datetimeImport OS#日期Today = Datetime.date.today ()Yestoday = Today-datetime.timedelta (Days=1)#对账日期Checkacc_date = Yestoday.strftime ('%y%m%d ')#对账文件目录Filedir = "/u02/filesvrd/report"#SQL

Read and write Python CSV file

1.CSV fileImportCsvwith Open (R"E:\code\0_DataSet\tianchi_2015_mobile_recommand\fresh_comp_offline\tianchi_fresh_comp_train_user.csv","r+") as Rdfile, open ("Data.csv","w+", newline="") as Wrfile:#WriteFile must open with newline+= "" or blank line would appear #1 Create reader writerCsvreader =Csv.reader (rdfile) Csvwriter=Csv.writer (wrfile)#2 Get the Headmost 10000 line and write to Wrfile forLine,iinchZip (Csvreader,range (10001):

CSV to XML using Python

#!/usr/bin/python#csvtoxml.py#encoding:utf-8importcsv,osfromxml.dom.minidomimport Document#prfixFile= "Creature_data" Defcreatexmlfile (fileprefix): csvfile=open (fileprefix+ '. csv ');headline= Csvfile.readline () #print headLinetypeList= Headline.split (', ') doc=document () dataroot= doc.createelement (fileprefix+ ' List ') dataroot.setattribute (' Xmlns:xsi ', " Http://www.w3.org/2001/XMLSchema-instanc

Python agent crawl into CSV file

Crawl High Stealth Agent1 fromUrllibImportRequest2 ImportRe3 Import Time4 5f = open ('West 1.csv','W', encoding='GBK')6headers = {7 'Cookies':'_free_proxy_session= Bah7b0kid3nlc3npb25fawqgogzfvekijtjjntgwnde4otyyntjinjlmmmu2ndfhzwewzjexmjfjbjsavekief9jc3jmx3rva2vubjsarkkimvd4thyybctnc w1yzmjfckpwudjfdnnzam5huctumgjlneg0ufuzde1xwta9bjsarg%3d%3d--a43f95e415d8ee53f36f90941dbab43b1503d84b',8 'user-agent':'mozilla/5.0 (Windows NT 10.0; WOW64) applewebkit/

Python read the CSV format document and use Matplotlib to draw the chart

import csvfrom matplotlib import pyplot as pltfrom datetime import Datetimefilename = ' sitka_weather_07-2014.csv ' with open (fileName) as F:reader = Csv.reader (f) header_row = Next (rea Der) # Print (header_row) # for index, Column_header in Enumerate (header_row): # When you need both index and value values, you can use enumerate # # Print (index, column_header) dates,hights = [], [] for row in reader:current_date = Datetime.strpt IME (row[0],

Python CSV writes data, eliminates blank lines

Import CSVrowlist=[{' first_name ': ' Mark ', ' last_name ': ' Zhao ', ' Age ': 21},{' first_name ': ' Tony ', ' last_name ': ' Wang ', ' Age ': 22},{' first_name ': ' hengry ', ' last_name ': ' Zhang ', ' age ': 23},]#newline设置为空With open (' Names.csv ', ' W ', newline= ') as CSVFile:#构造三个列Col_names = [' first_name ', ' last_name ', ' age ']writer = csv. Dictwriter (CSVFile, Col_names)#从头部开始按行写入数据Writer.writeheader ()Writer.writerows (rowlist)Print (

Python-json module "parsing json"

1,json Module Introduction JSON (JavaScript Object notation) is a lightweight data interchange format. Easy for people to read and write. It is also easy to machine parse and generate. It is based on JavaScript programming Language, Standard ECMA-262 a subset of 3rd Edition-december 1999. JSON uses a completely language-independent text format, but it also uses

Example of Python Json serialization and deserialization, json serialization

Example of Python Json serialization and deserialization, json serialization Different programming languages have different data types, such: Python data types include dict, list, string, int, float, long, bool, and None)Java data types include bool, char, byte, short, int, long, float, and double)C Data types include

JSON overview and Python processing data types such as JSON

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

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