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
(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
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.
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data:2017-07-13
auther; Jxnu Kerwin
Description: Use Pandas to stitch multiple
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
('//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
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
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):
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
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
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):
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],
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
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
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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