331AAccents,LaTeX,319Advanceddataaggregationapply()functions,162–165merge(),163transform()function,162–163Anacondapackages,65types,64Arraymanipulationjoiningarrayscolumn_stack(),52hstack()function,51row_stack(),52vstack()function,51splittingarrayshsplit()function,52split()function,53–54vsplit()function,52Artificialintelligence,3BBasicoperationsaggregatefunctions,44arithmeticoperators,41–42decrementoperators,43–44incrementoperators,43–44matrixproduct,42–43universalfunctions(ufunc),44Bayesianmethods,3CChoroplethmapsD3library,300geographicalrepresentations,300HTML()function,302Jinja2,302–303JSONandTSV,303JSONTopoJSON,300–301require.
config(),301USpopulation,2014datasourcecensus.
gov,306fileTSV,codes,305Jinja2.
Template,307–308pop2014_by_countydataframe,305population.
csv,306–307render()function,308–309SUMLEVvalues,304Classificationmodels,8Climaticdata,329ClusteredbarchartIPythonNotebook,296–297Jinja2,297,299render()function,299–300Clusteringmodels,3,7–8Combining,139–140Concatenating,136–139ConditionsandBooleanArrays,50Correlation,94–95Covariance,94–95Cross-validation,8DDataaggregationgroupby,157–158hierarchicalgrouping,159price1column,158split-apply-combine,157Dataanalysisdatavisualization,1definition,1deploymentphase,2information,4knowledgedomainsartificialintelligence,3computerscience,2–3fieldsofapplication,3–4machinelearning,3mathematicsandstatistics,3Index332opendata,10–11predictivemodel,1problemsof,2processdataexploration/visualization,7dataextraction,6datapreparation,7deployment,8modelvalidation,8predictivemodeling,8problemdefinition,5stages,5purposeof,1Pythonand,11quantitativeandqualitative,9–10typescategoricaldata,4numericaldata,4DataFramedefinition,75–76nesteddict,81structure,75transposition,81–82DatapreparationDataFrame,132pandas.
concat(),132pandas.
DataFrame.
combine_first(),132pandas.
merge(),132Datastructures,operationsDataFrame,88–89flexiblearithmeticmethods,88Datatransformationdrop_duplicates()function,144removingduplicates,143–144Datavisualization3Dsurfaces,227,229addingtextaxislabels,184informativelabel,187mathematicalexpression,187–188modified,185barcharterrorbars,210horizontal,210–211matplotlib,207multiseriesstackedbar,215–217pandasDataFrame,213–214xticks()function,208barchart3D,230–231charttypology,198contourplot,223–225dataanalysis,167displaysubplots,231,233grid,188–189,233,235handlingdatevalues,196–198histogram,206–207HTMLfile,193–195imagefile,195installation,168IPythonQtConsole,168,170kwargshorizontalsubplots,183linewidth,182verticalsubplots,183–184legend,189–191linechartannotate(),204arrowpropskwarg,204Cartesianaxes,203colorcodes,200–201colorsandlinestyles,200–201datapoints,198gca()function,203Greekcharacters,202LaTeXexpression,204mathematicalexpressions,199,205pandas,205–206set_position()function,203threedifferentseries,199–200xticks()functions,201yticks()functions,201matplotlibarchitectureandNumPy,179–181artistlayer,171–172backendlayer,170functionsandtools,170Line2Dobject,174plottingwindow,174plt.
plot()function,177properties,plot,177,179pylabandpyplot,172–173Pythonprogramminglanguage,173QtConsole,175–176scriptinglayer,172matplotlibLibrary,167–168mplot3d,227piecharts,219–221,223polarchart,225–227saving,code,192–193scatterplot,3D,229Decisiontrees,7Detectingandfilteringoutliersany()function,151describe()function,151std()function,151Digitsdatasetdefinition,312digits.
imagesarray,314Dataanalysis(cont.
)333digit.
targetsarray,314handwrittendigits,314handwrittennumberimages,312matplotliblibrary,314scikit-learnlibrary,313Discretizationcategoricaltype,148cut()function,148–151qcut(),150–151value_counts()function,149Django,11Dropping,85–86EEclipse(pyDev),30FFinancialdata,329Flexiblearithmeticmethods,88Fonts,LaTeX,319Functionalities,indexesarithmeticanddataalignment,86–87dropping,85–86reindexing,83–85Functionapplicationandmappingelement,89–90row/column,90–91statistics,91GGroupiterationchainoftransformations,160–161functionsongroupsmark()function,161–162quantiles()function,161groupbyobject,160HHandwritingrecognitiondigitsdataset,312–314digitswithscikit-learn,311–312handwrittendigits,matplotliblibrary,315learningandpredicting,315–316OCRsoftware,311svcestimator,316validationset,sixdigits,315–316Healthdata,328Hierarchicalindexingarrays,99DataFrame,98reorderingandsortinglevels,100stack()function,99structure,98summarystatistics,100two-dimensionalstructure,97IIDEs.
SeeInteractivedevelopmentenvironments(IDEs)IDLE.
SeeIntegrateddevelopmentenvironment(IDLE)Integrateddevelopmentenvironment(IDLE),29Interactivedevelopmentenvironments(IDEs)Eclipse(pyDev),30IDLE,29Komodo,32Liclipse,31–32NinjaIDE,32Spyder,29Sublime,30–31Interactiveprogramminglanguage,14Interfacedprogramminglanguage,14Interpretedprogramminglanguage,13Interpretercharacterization,14Cython,15Jython,15PVM,14PyPy,15IPythonJupyterproject,27Notebook,26–27Qt-Console,26shell,24–25IPythonNotebook,312CSVfiles,274–275DataFrames,272–273humidity,282–283JSONstructure,270–271matplotliblibrary,275pandaslibrary,271read_json()function,270SVRmethod,278–279temperature,275–278,281IrisflowerdatasetAndersonIrisDataset,238IPythonQtConsole,239Irissetosafeatures,241lengthandwidth,petal,241–242matplotliblibrary,240targetattribute,240typesofanalysis,239variables,241334JJavaScriptD3Librarybarchart,296CSSdefinitions,293–294data-drivendocuments,293HTMLimportinglibrary,293IPythonNotebooks,293Jinja2library,294–295Pandasdataframe,296render()function,296require.
config(),293webcharts,creation,293Jinja2library,294–295Joinoperations,132Jupyterproject,27KK-nearestneighborsclassification2Dscatterplot,sepals,245decisionboundaries,246–247predict()function,244random.
permutation(),244trainingandtestingset,244LLaTeXaccents,319fonts,319fractions,binomials,andstackednumbers,318radicals,318subscriptsandsuperscripts,318symbolsarrowsymbols,319,324–325bigsymbols,321binaryoperationandrelationsymbols,321,323delimiters,320hebrew,320lowercaseGreek,320miscellaneoussymbols,319standardfunctionnames,321uppercaseGreek,320withIPythonNotebookinmarkdowncell,317inPython2cell,317withmatplotlib,317Liclipse,31–32Linearregression,8Linuxdistribution,65Loadingandwritingdatadataframe,127pgAdminIII,127postgreSQL,126read_sql()function,125read_sql_query()function,128read_sql_table()function,128sqlite3,124LODclouddiagram,10Logisticregression,8MMachinelearning,3developmentofalgorithms,237diabetesdataset,247–248features/attributes,237learningproblem,237linearregressioncoef_attribute,249linearcorrelation,250parameters,248physiologicalfactors,251–252progressionofdiabetes,251–252supervisedlearning,237–238trainingandtestingset,238unsupervisedlearning,238MappingaddingValues,145–146inplaceoption,147rename()function,147renaming,axes,146–147replacingValues,144–145Matlab,11MergingDataFrame,132–133join()function,135–136left_onandright_on,134–135merge(),132–133MeteorologicaldataAdriaticSea,266–267climate,265Comacchio,268datasourceJSONfile,269weathermap,269IPythonNotebook,270mountainousareas,265windspeed,287–288Microsoftexcelfilesdata.
xls,116–117internalmodulexlrd,116read_excel()function,116Musicaldata,330NNdarrayarray()function,36–38data,types,38335dtypeOption,39intrinsiccreation,39–40type()function,36–37NotaNumber(NaN)datafilling,NaNoccurrences,97filteringoutNaNvalues,96–97NaNvalue,96NumPylibraryarray,Iterating,48–49broadcastingcompatibility,56complexcases,57operator/function,55BSD,35copies/viewsofobjects,54–55dataanalysis,35indexing,33,45–46ndarray,36Numarray,35pythonlanguage,35slicing,46–48vectorization,55OObject-orientedprogramminglanguage,14OCRsoftware.
SeeOpticalcharacterrecognition(OCR)softwareOpendatasources,10,11climaticdata,329–330financialdata,329fordemographicsIPythonNotebook,290Pandasdataframes,290pop2014_by_statedataframe,291pop2014dataframe,290–291UnitedStatesCensusBureau,289withmatplotlib,292healthdata,328miscellaneousandpublicdatasets,329musicaldata,330politicalandgovernmentdata,327–328publications,newspapers,andbooks,330socialdata,328sportsdata,330Open-sourceprogramminglanguage,14Opticalcharacterrecognition(OCR)software,311Order()function,93PPandasdataframes,290,296Pandasdatastructuresassigningvalues,70,78–79DataFrame,75–76declaringseries,68–69deletingcolumn,80dictionaries,series,74duplicatelabels,82–83evaluatingvalues,72filteringvalues,71,80internalelements,selection,69mathematicalfunctions,71membershipvalue,80NaNvalues,73NumPyarraysandexistingseries,70–71operations,71,74selectingelements,77–78series,68Pandaslibrarycorrelationandcovariance,94–95datastructures.
(seePandasdatastructures)datastructures,operations,87–89functionalities.
(seeFunctionalities,indexes)functionapplicationandmapping,89–91gettingstarted,67hierarchicalindexingandleveling,97–101installationAnaconda,64–65developmentphases,67Linux,65modulerepository,windows,66PyPI,65source,66NotaNumber(NaN)data,95–97pythondataanalysis,63–64sortingandranking,91–94Permutationnew_orderarray,152numpy.
random.
permutation()function,152randomsamplingDataFrame,152np.
random.
randint()function,152take()function,152Pickle—pythonobjectframe.
pkl,123pandaslibrary,123Pivotinghierarchicalindexing,140–141longtowideformat,141–142stack()function,140unstack()function,140Politicalandgovernmentdata,327–328Pop2014_by_countydataframe,305Pop2014_by_statedataframe,291–292Pop2014dataframe,290–291Portableprogramminglanguage,13Principalcomponentanalysis(PCA),242–243Publicdatasets,329PVM.
SeePythonvirtualmachine(PVM)PyPI.
SeePythonpackageindex(PyPI)PyPyinterpreter,15336Python,11Pythondataanalysislibrary,63–64Pythonmodule,67Pythonpackageindex(PyPI),28Python'sworlddistributionsAnaconda,16–17EnthoughtCanopy,17Python(x,y),18IDEs.
(seeInteractivedevelopmentenvironments(IDEs))implementation,code,19installation,16interact,19interpreter,14–15IPython,24–27programminglanguage,13–14PyPI,28Python2,15Python3,15run,entireprogramcode,18–19SciPy,32–34shell,18writingpythoncodedatastructure,21–22functionalprogramming,23indentation,24librariesandfunctions,20–21mathematicaloperations,20Pythonvirtualmachine(PVM),14QQualitativeanalysis,9,10Quantitativeanalysis,9,10RR,11Radicals,LaTeX,318Ranking,93–94Readingandwritingarraybinaryfiles,59–60tabulardata,60–61Readingandwritingdatabooks.
json,119create_engine()function,124CSVandtextualfilesextension.
txt,104headeroption,105index_coloption,106myCSV_01.
csv,104myCSV_03.
csv,106namesoption,105read_csv()function,104,106read_table()function,105DataFrameobjects,103frame.
json,119functionalities,103HDF5library,121HDFStore,121HTMLfilesdatastructures,111myFrame.
html,112read_html(),113to_html()function,111–112web_frames,113webpages,111I/OAPItools,103–104JSONdataJSONViewer,118read_json()andto_json(),118json_normalize()function,120mydata.
h5,121normalization,119NoSQLdatabasesinsert()function,129MongoDB,128–130pandas.
io.
sqlmodule,124pickle—pythonobjectcPickle,122–123streamofbytes,122PyTablesandh5py,121read_json()function,120sqlalchemy,124TXTfile,106–108usingregexpmetacharacters,107read_table(),106skiprows,108ReadingDatafromXMLbooks.
xml,114getchildren(),115getroot()function,115lxml.
etreetreestructure,115lxmllibrary,114objectify,114parse()function,115tagattribute,115textattribute,115ReadingTXTfilesnrowsandskiprowsoptions,108portionbyportion,108Regressionmodels,3,8Reindexing,83–85Removing,142RoseWindDataFrame,284histarray,285polarchart,285–287showRoseWind()function,285,287337S,TScikit-learnPCA,242–243Pythonmodule,237Scikit-learnlibrary,311dataanalysis,311sklearn.
svm.
SVC,312svmmodule,312SciPymatplotlib,34NumPy,33Pandas,33Shapemanipulationreshape()function,50shapeattribute,51transpose()function,51Socialdata,328Sort_index()function,91,93Sortlevel()function,100Sportsdata,330Stack()function,99Stringmanipulationbuilt-inmethodscount()function,154errormessage,154index()andfind(),154join()function,154replace()function,154split()function,153strip()function,153regularexpressionsfindall()function,155–156match()function,156re.
compile()function,155regex,155re.
split()function,155split()function,155Structuredarraysdtypeoption,58–59structs/records,58Subscriptsandsuperscripts,LaTeX,318Supportvectorclassification(SVC)effect,decisionboundary,256–257nonlinear,257–259numberofpoints,Cparameter,256predict()function,255support_vectorsarray,255trainingset,decisionspace,253–254twoportions,255Supportvectorclassification(SVC),312Supportvectormachines(SVMs)decisionalspace,253decisionboundary,253IrisDatasetdecisionboundaries,259lineardecisionboundaries,259–260polynomialdecisionboundaries,261polynomialkernel,260–261RBFkernel,261trainingset,259SVC.
(seeSupportvectorclassification(SVC))SVR.
(seeSupportvectorregression(SVR))Supportvectorregression(SVR)curves,263diabetesdataset,262linearpredictivemodel,262testset,data,262Swaplevel()function,100U,VUnitedStatesCensusBureau,289–290Urllib2library,290W,X,Y,ZWebScraping,2,6Writingdatana_repoption,110to_csv()function,109–110
[六一云迎国庆]转盘活动实物礼品美国G口/香港CTG/美国T级超防云/物理机/CDN大促销六一云 成立于2018年,归属于西安六一网络科技有限公司,是一家国内正规持有IDC ISP CDN IRCS电信经营许可证书的老牌商家。大陆持证公司受大陆各部门监管不好用支持退款退现,再也不怕被割韭菜了!主要业务有:国内高防云,美国高防云,美国cera大带宽,香港CTG,香港沙田CN2,海外站群服务,物理机,...
Virtono是一家成立于2014年的国外VPS主机商,提供VPS和服务器租用等产品,商家支持PayPal、信用卡、支付宝等国内外付款方式,可选数据中心共7个:罗马尼亚2个,美国3个(圣何塞、达拉斯、迈阿密),英国和德国各1个。目前,商家针对美国圣何塞机房VPS提供75折优惠码,同时,下单后在LET回复订单号还能获得双倍内存的升级。下面以圣何塞为例,分享几款VPS主机配置信息。Cloud VPSC...
官方网站:点击访问酷番云官网活动方案:优惠方案一(限时秒杀专场)有需要海外的可以看看,比较划算29月,建议年付划算,月付续费不同价,这个专区。国内节点可以看看,性能高IO为主, 比较少见。平常一般就100IO 左右。优惠方案二(高防专场)高防专区主要以高防为主,节点有宿迁,绍兴,成都,宁波等,节点挺多,都支持防火墙自助控制。续费同价以下专场。 优惠方案三(精选物理机)西南地区节点比较划算,赠送5...
sublimetext2为你推荐
美女桌面背景图片最漂亮的美女电脑壁纸哪里有?电脑杀毒软件哪个好电脑用什么杀毒软件好?传奇类手游哪个好什么传奇类手游好玩不坑钱?浮动利率和固定利率哪个好房贷利率是固定的还是浮动的好?无纺布和熔喷布口罩哪个好口罩选择什么样的面料好手机炒股软件哪个好手机炒股哪个软件好 要免费的oppo和vivo哪个好vivo和oppo哪个更耐用播放器哪个好哪个播放器比较好用360云盘网页版360云盘网页版在哪里登录呀?360云存储360网盘目前最大空间是多少
网站域名备案 代理域名备案 私人服务器 cloudstack softbank官网 服务器怎么绑定域名 国内php空间 howfile 合租空间 hktv 江苏双线服务器 1元域名 重庆电信服务器托管 丽萨 cdn网站加速 97rb 睿云 中国电信宽带测速 免费赚q币 湖南铁通 更多