python pandas series

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An example of data processing programming from the zero-learning Python series (II.) _python

Data has changed in the previous section from the zero-learning Python series of data-processing programming instances (i), in addition to the student's results, the document added the student name and the date of birth, so it will become: according to the name of the output of each student without repetition of the top three best results and the date of birth Data preparation: Four text files created sepa

Python Third Party Library series 26--virtualenv Library

What Virtualenv is. Virtualenv is a tool to create isolated Python environments. In order to isolate different versions of the development environment (if the project is collaborative development, the version of the library problem is a headache, with this can be in their own environment to run). Step one, install Virtualenv: (PIP installation refer to Python third Party Library

Python Operation RABBITMQ Series (i)

From the beginning of this article, we will discuss the related functions of RABBITMQ in the next section. My articles are ultimately going to implement a project (specifically what is not disclosed). Each of the preceding articles is preparing for the system. RABBITMQ, is one of the key parts of our project. So Niu Mei, this series, please be sure to understand how RABBITMQ is going on, and know, how to operate.In this article, we know rabbitmq simpl

Python Selenium Series (iii) common operation types and methods

a prefaceThe core idea of Web UI Automation is to find elements, and then manipulate the two elements. In the Python Selenium series (ii) Element positioning method article, which describes how to find an element, this article describes the second item, how to manipulate the elements that have already been found.Classification of two operation methodsOverall, the operation can be broadly divided into four c

"Python Skill series" Unittest:python comes with Test module "reprint"

theAssertdictcontainssubset (A, B) all the key/value pairsinchA existinchB 2.7 theAssertmultilineequal (A, b) strings 2.7117Assertsequenceequal (A, b) sequences 2.7118Assertlistequal (A, b) lists 2.7119Asserttupleequal (A, b) tuples 2.7 -Assertsetequal (A, B) setsorFrozensets 2.7121Assertdictequal (A, b) dicts 2.7122Assertmultilineequal (A, b) strings 2.7123Assertsequenceequal (A, b) sequences 2.7124Assertlistequal (A, b) lists 2.7 theAsserttupleequal (A, b) tuples 2.7126Assertsetequal (A, B) s

Data processing and programming example of the python series from scratch (2)

This article mainly introduces python data processing and programming instances. For more information, see the previous example of data processing and programming in the python series from scratch (I, in addition to the student's score, the file adds the student's name and birthdate information, so it will become: output the first three best scores and year of bi

python--Introduction Series (i) Index and slice

of negative circle, very simple, don't say2 parameters: array[1:-2]--from subscript 1 to all elements before subscript (n-1), return [3,4,5] array[-2:3]--returns an empty array when the first argument is calculated to be greater than or equal to the last one [] array[-13:3]--See the first note above, the first parameter is 0, return [2,3,4] 3 parameters [:: -1]--from beginning to end, reverse array, return [6,5,4,3,2] [ -1::-2]--from tail to head, each element

IP address sorting in python practice series (02)

IP address sorting in python practice series (02)1. background note: The Virtual Machine ip addresses are obtained from the nova list of openstack, but these ip addresses are not sorted and grouped. To further enhance readability, sort the ip addresses in shell, you can use the sort command to perform the sorting operation. The specific operation is as follows: [root@controller ~]# cat ip.txt | sort -t "."

Re-learning the Python series (iv)? WTF?

(' Adfsdfsdfswrwerwegfhgfhgh ') print obj# elements = Native Incoming value (' Adfsdfsdfswrwerwegfhgfhgh ') for V in Obj.elements (): Print v # returns the number given by the parameter to print Obj.most_common (4)#The execution results show Counter ({‘F': 5,‘D': 3,‘G': 3,‘H': 3,‘S': 3,'w': 3, 'e': 2, 'r': 2, 'a': 1} ' [('f', 5 '), ( 'D', 3), ('g', 3), ('h', 3)] Please write a = base64 decoding function that can handle the removed:Import base64text = ' Ywjjza ' if not len (text)%4==0:

Re-learning the Python series (ii)? WTF?

, all the error types are inherited from BaseException , so in the use except of note that it not only captures the type of error, but also its subclasses "clean sweep"Try: foo () except StandardError, E: print ' StandardError ' except ValueError, E: print ' ValueError 'The second one except is never caught ValueError , because ValueError StandardError the subclass, if any, is also captured by the first one except .Common error types and inheritance relationships: Https://docs.python.or

[Python 3 Series] Regular expressions

non-greedy match or representing an optional grouping. These two meanings are completely irrelevant.>>> Import re>>> Phonenum01=re.compile (R ' (\d\d\d) {1,3} ') >>> Phonenum02=re.compile (R ' (\d \d\d) {1,3}? ')>>> mo01=phonenum01.search (' 68000000 ') >>> mo02=phonenum02.search (' 68000000 ') >>> Mo01.group () ' 680000 ' >>> mo02.group () ' 680 'This article is from the "garbled Age" blog, please be sure to keep this source http://juispan.blog.51cto.com/943137/1949567 [

Appium collection of logs for the Python Automated Test series (12)

Loggingimport logging.config# This is the path to the configuration file Conf_log = ". /config/log.conf "Logging.config.fileConfig (conf_log) logger = Logging.getlogger () #下面就是使用日志打印日志信息logger. info (" Info type of log ") Logger.error (" error log ")Through the above configuration and output the final results such as:With this image we can see the log time we have output, the name of the class, and the rank. Isn't it convenient? Do it.Note: I here the wrong log in the logs file under the MyLog

Spark Machine Learning Mllib Series 1 (for Python)--data type, vector, distributed matrix, API

Spark Machine Learning Mllib Series 1 (for Python)--data type, vector, distributed matrix, API Key words: Local vector,labeled point,local matrix,distributed Matrix,rowmatrix,indexedrowmatrix,coordinatematrix, Blockmatrix.Mllib supports local vectors and matrices stored on single computers, and of course supports distributed matrices stored as RDD. An example of a supervised machine learning is called a la

spark2.x deep into the end series five Python development Spark environment configuration

_== "__main__": conf=sparkconf (). Setappname ("AppName"). SetMaster ("local") sc=sparkcontext (conf=conf) sourcedatardd =sc.textfile ("File:///Users/tangweiqun/test.txt") wordsRDD= Sourcedatardd.flatmap (Lambdaline:line.split ()) keyvaluewordsrdd= wordsrdd.map (lambdas: (s,1)) wordCountRDD= Keyvaluewordsrdd.reducebykey (lambdaa,b:a+b) outputpath = "/users/tangweiqun/wordcount" ifos.path.exists (OutputPath): shutil.rmtree (OutputPath) Wordsrdd.saveastextfile ("file://" +outputpath) printwordco

The reflection and function of the Python series

/initialization Object (no attribute) Unboundlocalerror access to uninitialized local variable referenceerror weak reference (Weak reference) An attempt was made to access a garbage-collected object RuntimeError general run-time error notimplementederror a method that has not yet been implemented Syntaxerrorpython Syntax error Indentationerror indentation error Taberrortab mixed with spaces Systemerror General interpreter system error TypeError an operation that is not valid for type ValueError

Django signal, cache operation for the automated Operations Python series

', ' location ': ' Unix:/tmp/memcached.sock ', }} CACHES={ ' Default ':{ ' backend ': ' Django.core.cache.backends.memcached.MemcachedCache ', ' Location ':[ ' 172.19.26.240:11211 ', ' 172.19.26.242:11211 ', ] }} 5) Memcache cache (PYLIBMC module) This cache uses the PYLIBMC module to connect memcachecaches={ ' default ':{ ' backend ': ' Django.core.cache.backends.memcached.PyLibMCCache ', ' location ': ' 127.0.0.1:11211 ', } CACHES={ ' Default ':{ ' backend ': ' Django.core.cache.bac

[Python] liberal arts students zero basic programming Series 3-basic types of data operators,

[Python] liberal arts students zero basic programming Series 3-basic types of data operators, Previous Article: [Python] NJI programming Series II-basic concepts of data types, variables, and constants Next article: Simply put,The operator is the bridge to connect. ※The execution process of a program is the process of

Python Learning Series (eight) (object-oriented basis)

Python Learning Series (eight) (object-oriented basis) Python Learning Series (vii) (database programming)one, object-oriented 1, domain : A variable that belongs to an object or class. There are two types, instance variables -objects that belong to each instance/class, and class variables -that belong to the class

Computer Basics Series One: Network Fundamentals and Python Basics (variables and program interactions) July 13 and 14th Class Preview/Essays/Assignments

smaller!")Count + = 1 # Each loop counter +1ElsePrint ("Guess how many times you're wrong, you idiot.")Additional note: The above code needs to be permanently savedFor:Write to the hard disk and save it as a file.Tomorrow, the following code:Name = input ("What is your name?")Age = Input ("What old is You?")Hometown = input ("Where is your hometown?")Print ("Hello", Name, "Your is", age, "years old, you came from", hometown)Computer Basics Series One

[Python 3 Series] Read and write files

dictionary, the shelf value has the keys () and the values () method. Returns a list-like value instead of a real list.>>> Import shelve>>> shelfile=shelve.open (' MyData ') >>> price=[1,2,3]>>> shelfile[' Price ']=price>>> shelfile.close () >>> shelfile=shelve.open (' MyData ') >>> type ( Shelfile) You can save the variable with the Pprint.pformat () function.The import statement imports the module itself as a Python script.>>> Import pprint>>> pric

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