python statistics book

Vlaue and the minimum difference in the storage listDic_mix =[] List11.sort ()#Sort By Date Print("list11=xxxxx=="+str (list11)) Lkks=[]#for storing list11.sort date difference forIinchRange (0,len (list11)-1): forJinchRange (i+1,i+2): DD= ABS (int (list11[i])-Int (list11[j]))ifDd not inchLkks:#if the minimum number of differences is not in the list, addLkks.append (dd) KK=min (LKKS)#Find out the latest date differenceDic_mix.append ((CC,KK))Else:

1 #statistics of the number of occurrences of the characters in "Kingdoms"2 3 ImportJieba4Text = open ('Threekingdoms.txt','R', encoding='Utf-8'). Read ()5excludes = {'General','but said','Two people','can't','so','Jingzhou','not be','deliberations','How to','Sergeant','around','My Lord','Lead Soldiers','Next day','exultation','Military Horse',6 'World','Dong Wu','so'}7 #returns the word breaker result for a list type8Words =jieba.lcut (text)9 #by dic

System: Win7 32 bits Word segmentation Software: Pynlpir Integrated development Environment (IDE): Pycharm Function: To realize the whole process of multilevel text preprocessing, including text segmentation, filter stop words, Word frequency statistics, feature selection, text representation, and export the results to the. Arff format that Weka can handle. Directly on the code: #!/usr/bin/env python #-

Second day, busy home some things, shun with people to crawl the watercress book top2501. Construct the URLs list urls=[' https://book.douban.com/top250?start={} '. Format (str (i) for I in range (0, 226, 25))]2. Module requests get webpage source code lxml Parse Web page XPath extract3. Extracting information4, can be encapsulated into a function here does not encapsulate the callPython code:#coding: Utf-8import sysreload (SYS) sys.setdefaultencoding

#-*-coding:utf-8-*-" "Title Description: Using Python to generate similar letters in the Code picture idea: using the PIL Library and random letters to generate" "ImportRandomImportstring fromPILImportImage, Imagedraw, Imagefont, ImageFilterdefRnword ():returnRandom.choice (string.letters)defcolor ():return(Random.randint (255), Random.randint (255), Random.randint (64, 255))defColor2 ():return(Random.randint (127), Random.randint (127), Random.randin

decision trees (decision tree) 4 　　Cited examplesThe existing training set is as follows, please train a decision tree model to predict the future watermelon's merits and demerits.Back to Catalog What are decision trees (decision tree) 5 　　Cited examplesThe existing training set is as follows, please train a decision tree model to predict the future watermelon's merits and demerits.Back to Catalog What are decision trees (decision tree) 6

1.02673882 1.25183328]][-2.17579511-0.11651321 1.02508041 1.02673882 1.25183328 2.33262004]Note: The difference between a.sort () and sort (a), one will change the data structure, one will not.>>> x = Randn (3)>>>Xarray ([2.70362768, -0.80380223, -0.10376901])>>>sort (x) array ([-0.80380223, -0.10376901,2.70362768])>>>Xarray ([2.70362768, -0.80380223, -0.10376901])>>> X.sort () # in-Place , changes x>>>Xarray ([-0.80380223, -0.10376901,2.70362768])12,Max, amax, argmax , min, Amin , Arg

The example in this paper describes how to remove the number of UUID in Python statistics file. Share to everyone for your reference. Specific as follows: Use regular expressions to get the UUID in the log file by row, and to count the number of de-weight of these uuid (DE-leveraging set) Import repattern=re.compile (R ' uuid=.* ') Uuidset=set () with open (' request.log.2015-05-26 ', ' RT ') as F: Fo

Task: Use the simple statistical task of Python time-to count the number of men and women respectively. Materials used: XLRD It's role-reading Excel table data Code: Import Xlrdworkbook = Xlrd.open_workbook (' demo.xlsx ') #打开excel数据表SheetList = Workbook.sheet_names () # READ spreadsheet to list sheetname = sheetlist[0] #读取第一个电子表的名称Sheet1 = Workbook.sheet_by_index (0) #电子表索引从0开始Sheet1 = workbook.sheet_by_ Name (sheetname) #实例化电子表对象 m=0f=0 for I i

Task:Use the simple statistical task of Python time-to count the number of men and women respectively.Materials used: XLRD It's role-reading Excel table dataCode:ImportXlrdworkbook= Xlrd.open_workbook ('demo.xlsx')#Open Excel data tableSheetlist = Workbook.sheet_names ()#reading a spreadsheet to a listSheetName = sheetlist[0]#read the name of the first electronic tableSheet1 = Workbook.sheet_by_index (0)#Electronic table Index starting from 0Sheet1 =

Python ip address statistics script Importre Tudou @ Gyyx F = open ("/tmp/a. log", "r ") Arr = {} Lines = f. readlines () Forlineinlines: Ipaddress = re. compile (R' ^ #(2 [0-4] \ d | 25 [0-5] | [01]? \ D ?) \.) {3} (2 [0-4] \ d | 25 [0-5] | [01]? \ D ?)) ') Match = ipaddress. match (line) Ifmatch: Ip = match. group (1) If (arr. has_key (ip )): Arr [ip] + = 1 Else: Arr. setdefault (ip, 1)

/5.0 (windowsnt5.1) AppleWebKit/537.36 (khtml,like gecko) chrome/31.0.1650.63safari/537.36se2.xmetasr1.0 "--- just learned python, it sucks,code:#!/usr/bin/env Pythonimport rere1 = R ' ^\d+\.\d+\.\d+\.\d+ ' reg = Re.compile (re1) fp = open (' Www.log ') f_content = Fp.readlines () fp.close () a = []for lines in f_content:ip = Re.findall (reg,lines) a.append (ip[0]) b = List (set (a)) B1 = []for i in range (len (b)): a1 = [] A1.append (A.count (B[i]))

This example shows the number of occurrences of duplicates in the Python statistics list, and is a useful feature for Python beginners to learn from. The specific methods are as follows: For a list, such as [1,2,2,2,2,3,3,3,4,4,4,4], now we need to count the duplicates in the table and repeat them several times. Method 1: MyList = [1,2,2,2,2,3,3,3,4,4,4

Create your own command-line address book program.In this app, you can add, edit, delete, and search your contacts (friends, family, colleagues, etc.) and their information (such as e-mail addresses and/or phone numbers).These details should be saved for later extraction.Python version 3.4.31 #Create your own command-line address book program. In this program,2 #you can add, edit, delete, and search your co

This article describes in detail how to add, delete, modify, and query a phone book in Python, if you are interested, please refer to this article for details about how to add, delete, modify, and query functions in Python. if you are interested, please refer For python beginners, write a small program to practice. Th

Python Remote Statistics file #!/usr/bin/python#encoding=utf-8import timeimport osimport paramikoimport multiprocessing# Statistics file number def get_total (IP, Password,filepath): Paramiko.util.log_to_file (' Paramiko.log ') Ssh=paramiko. Sshclient () Ssh.set_missing_host_key_policy (Paramiko. Autoaddpolicy ()) Try

Weeks not in the XXQQ group, see a Python interview question, see which is the monkey, is also a peach, very much like; I also write a Python statistics peach.#!/usr/bin/envpython#-*-coding:utf-8-*-' title: A pile of peaches is the public property of 7 monkeys, which are evenly distributed. The first monkey came, left and so on to wait until the other monkeys to

Recently in Python data statistics, summed up some of the recent use of some tips to find and summarize, hoping to help in doing this in some children's shoes. Some of the techniques are common and we don't pay attention to them at ordinary times, but in a particular scenario, these small methods can be a great help. 1. Mapping keys to multiple values in a dictionary {' B ': [4, 5, 6], ' a ': [1,

In Python, we often want to count the number of lines of code in a project. However, it may not be that simple if we want to improve the statistical functions, today, let's take a look at how to use python to implement a code line statistical tool. Idea: first obtain all files, then count the number of lines of code in each file, and finally add the number of lines. Implemented functions: Count the number