python parse text file

Python has basic text file reading and writing capabilities, and Python's standard library provides richer read and write capabilities.Text files are read and written primarily through the file object built by open () to achieveTo create a file objectWe open a

The example in this article describes how the number of words in a Python statistical text file is. Share to everyone for your reference. The implementation method is as follows: # count lines, sentences, and words of a text file# set all the counters to Zerolines, blankli

Tags: try import data category cat exec file DUP IDT valuesThe wrong reason is to add the same primary key, I think for a while, I grabbed the data primary key is ISBN ah, it is impossible to heavy ah, so, I went to the database to check the following error ISBN, inserted data also have, because the classification is not the same, so to insert again, this will definitely error, One way to deal with this is toIf you have this record in your database, y

| 8.0 399.0 | 99.8 0.1 0.1 0.1 0.2 8.5 |-2147483.648 || S.D. | 0.0 35.4 | 0.2 0.1 0.2 0.1 0.3 9.0 |-2147483.648 || Median | 8.0 394.0 |100.0 0.0 0.0 0.0 0.2 12.5 |-2147483.648 |'------------------------------------------------------------------------------'Test procedures such as the following:>>> ss= ' | Sum/avg| 224 11172 | 99.8 0.1 0.1 0.1 0.2 8.5 | -0.089 | ' >>> SS ' | Sum/avg| 224 11172 | 99.8 0.1 0.1 0.1 0.2 8.5 | -0.089 | ' >>> ss.split (' | ') [', ' sum/avg ',

||==============================================================================|| Mean | 8.0 399.0 | 99.8 0.1 0.1 0.1 0.2 8.5 |-2147483.648 || S.D. | 0.0 35.4 | 0.2 0.1 0.2 0.1 0.3 9.0 |-2147483.648 || Median | 8.0 394.0 |100.0 0.0 0.0 0.0 0.2 12.5 |-2147483.648 |'------------------------------------------------------------------------------'The test procedure is as follows:>>> ss= ' | Sum/avg| 224 11172 | 99.8 0.1 0.1 0.1 0.2 8.5 | -0.089 | ' >>> SS ' | Sum/avg| 224 11172 | 99.

This article describes a method for Python to output all of the text in a PowerPoint (PPT) file. Share to everyone for your reference. The specific analysis is as follows: The following code relies on Windows COM, so it is very useful to have PowerPoint installed on the machine to output all plain text information in

When Python modifies a file, using W mode empties/overwrites the original file. You can open it in Read (R) First, write it into memory, and then open it in write (w) mode. The taste in the replacement text is tasting Yesterday when I am young yesterday when I was a teenager the taste of life is sweet the t

Demand: To handle a configuration file, take out the available character stitching, the following is the original text, we want to get this result, Copy Code code as follows: Redis-h 127.0.0.1-p 6379 | Select 2 Redis-h 127.0.0.1-p 6379 | Select 16 Redis-h 127.0.0.1-p 6379 | Select 8 Original text: Copy Code code as follows:

username= ' test ' password= ' 123456 ' Whiletrue:user_str=raw_input ("please inputyourname>> ") pass_str=raw_input (" pleaseinputyour Password>> ") Ifusername!=user_strorpassword!=pass_str:print "sorry,youinputwrongusernameorpassword!" continueelse:print "loginsuccessfully!" Whiletrue:flag=0input_str=raw_input ("pleaseinputnamewhat Doyoutosearch>> ") filestr=open (' D:/mypython/name_list.txt ', ' rb+ ') if input_str== ' exit ' orinput_str== ' quit ': Filestr.close () exit () Elifinput_ str== '

The interception section reads as follows:10.235186 11.321997 10.122339 11.810993 9.190236 8.904943 9.306371 9.847394 8.330131 8.340352How do I turn data into a matrix?The first step is to open the file by using the open () function:1 >>> filename='; 2 >>> fr=open (fileName);View Type:1>>> fr=open (fileName);2>>>Type (FR)3class '_io. Textiowrapper'>4>>>FR5'D://softwaretool/python/python_ex

Use a Python script to extract a sequence of specified ID names#!/usr/bin/python3#-*-coding:utf-8-*-# Extract the sequence of the specified IDs import Sysargs =SYS.ARGVFR=open (args[1],'R') FW=open ('./out.fasta','W') Dict={} forLineinchfr:ifLine.startswith ('>'): Name=line.split () [0] Dict[name]="' Else: Dict[name]+=line.replace ('\ n',"') Fr.close () forIdinchDict.keys ():ifID ==args[2]: Fw.write (ID) fw.write ('\ n' ) Fw.write (Dict[id])Fw.writ

Python has two built-in modules to handle command-line arguments, one is getopt, and the Deep inPython is also mentioned in the book, can only handle command-line parameters, the other is Optparse, it is powerful, and easy to use, can easily generate standard, compliantCommand line description for the UNIX/POSIX specification.ExampleHere is a simple example of using Optparse:From Optparse import Optionparser[...]Parser = Optionparser ()Parser.add_opti

The existing plain text titled Test.txt, which counts the number of occurrences of the word.Content of Test.txt:I have the application Someday Oneday day DemoI have some one coma ideal naive ICode implemented in Python:Import reCount = {}f = open (' Test ', ' R ')b = F.read ()#print bcd = Re.split (' [\\n]+ ', b) #注意split的用法Print CDFor I in CD:Count[i] = Count.get (i,0) + # Note the use of the Get () methodPrint CountResults obtained after executing t

#::!/usr/bin/python3#-*-coding:utf-8-*- # calculate the content of each amino acid in the Fasta file ImportSysargs=SYS.ARGVF=open (Args[1],'R') FW=open ('OUT.txt','W') Line=f.read () txt="'. Join (Line.split ('\ n') [1:])#can get the amino acid sequence#A dictionary of each amino acid and content is constructed##注意collections模块中Counter的用法 fromCollectionsImportcounterdict=counter (TXT) #counter directly back to the dictionary#the Write method of a

#!/usr/bin/python3#-*-coding:utf-8-*-#find the location of all the specified motif on the sequence fileDna='Atgcgagagagagagaagtgctgtgtagctgatgcgctagtttcgcgctagagagtgtaaaattggagagtgtagtagtgta'motif='Gtgta'L=[]Importrematches=re.finditer ('(? =gtgta)', DNA) forMatchinchMatches:loc=match.start (+1)l.append (Loc, loc+len (motif)-1))Print(L) Output Result:[(23, 27), (55, 59), (70, 74), (78, 82)]Python Text pr

This note will be the operation of the previous note to make some improvements, no longer the HTM file in the Saz file parsing out, but not to read the data directly into the string, the basic idea is as follows:1. Customize a class that reads content from a text file to a string: Parses an HTM document in a saz

Python implements two text merges The employee file records the work number and the name Copy Code code as follows: Cat Employee.txt: Jason Smith John Doe Sanjay Gupta Ashok Sharma Record work numbers and wages in bonus documents Copy Code code as follows: Cat Bonus.txt: 100 $5,000 200 $ 300 $3,000 400 $1,25

document has the Callid, the call number, the call time and so on N more information. The customer requests to compress all the recording files a package, and the file name is used for the power number + time name, so as to facilitate viewing.Background requirements are complete.Analysis Solution: First, the TAR is the compression package under Linux, need to decompress, but also batch processing, and then read the XML document information, the incom

Horizontal comparison and analysis of Python to parse XML in four ways, pythonxml When I first learned PYTHON, I only knew there were DOM and SAX parsing methods, but they were not very efficient. because the number of files to be processed was too large, these two methods are too time-consuming and unacceptable. After searching through the network, we found that

been automatically converted to unicode. If needed, you can manually transcode The encode (xxx) Recursive and limit attributesRecursive = False indicates that only the direct son is searched. Otherwise, the entire subtree is searched. The default value is True. When you use findAll or similar methods to return a list, the limit attribute is used to limit the number of returned results, for example, findAll ('P', limit = 2): returns the first two tags found. InstanceThis article uses the documen