Python | Read csv using pandas.read_csv() - GeeksforGeeks

To access data from the CSV file, we require a function read_csv() that retrieves data in the form of the Dataframe. 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ImproveArticle SaveArticle LikeArticle DifficultyLevel: EasyLastUpdated: 30Sep,2022ReadDiscussViewDiscussion ImproveArticle SaveArticle LikeArticle ToaccessdatafromtheCSVfile,werequireafunctionread_csv()thatretrievesdataintheformoftheDataframe.Syntaxofread_csv() Syntax:pd.read_csv(filepath_or_buffer,sep=’,’,header=’infer’, index_col=None,usecols=None,engine=None,skiprows=None,nrows=None) Parameters: filepath_or_buffer:Itisthelocationofthefilewhichistoberetrievedusingthisfunction.ItacceptsanystringpathorURLofthefile.sep:Itstandsforseparator,defaultis‘,‘asinCSV(commaseparatedvalues).header:Itacceptsint,alistofint,rownumberstouseasthecolumnnames,andthestartofthedata.Ifnonamesarepassed,i.e.,header=None,then, itwilldisplaythefirstcolumnas0,thesecondas1,andsoon.usecols:ItisusedtoretrieveonlyselectedcolumnsfromtheCSVfile.nrows:Itmeansanumberofrowstobedisplayedfromthedataset.index_col:IfNone,therearenoindexnumbersdisplayedalongwithrecords. skiprows:Skipspassedrowsinthenewdataframe.ReadCSVusingPandasread_csvBeforeusingthisfunction,wemustimportthePandaslibrary,wewillloadtheCSVfile.PYTHON3#Importpandasimportpandasaspd #readingcsvfilepd.read_csv("example1.csv")Output: Example1:Usingsepinread_csv()Inthisexample,wewillmanipulateourexistingCSVfileandthenaddsomespecialcharacterstoseehowthesepparameterworks.Python3#headbrain1="totalbill_tip,sex:smoker,day_time,size#16.99,1.01:Female|No,Sun,Dinner,2#10.34,1.66,Male,No|Sun:Dinner,3#21.01:3.5_Male,No:Sun,Dinner,3#23.68,3.31,Male|No,Sun_Dinner,2#24.59:3.61,Female_No,Sun,Dinner,4#25.29,4.71|Male,No:Sun,Dinner,4" #Importingpandaslibraryimportpandasaspd #Loadthedataofcsvdf=pd.read_csv('headbrain1.csv',                 sep='[:,|_]',                 engine='python') #PrinttheDataframedfOutput: Example2:Usingusecolsinread_csv()Here,wearespecifyingonly3columns,i.e.[“tip”,“sex”,“time”]toloadandweusetheheader0asitsdefaultheader.Python3df=pd.read_csv('example1.csv',        header=0,        usecols=["tip","sex","time"]) dfOutput: Example3:Usingindex_colinread_csv()Here,weusethe“sex”indexfirstandthenthe“tip”index,wecansimplyreindextheheaderwithindex_colparameter.Python3df=pd.read_csv('example1.csv',        header=0,        index_col=["sex","tip"],        usecols=["tip","sex","time"]) dfOutput: Example4:Usingnrowsinread_csv()Here,wejustdisplayonly5rowsusingnrowsparameter.Python3df=pd.read_csv('example1.csv',        header=0,        index_col=["tip","sex"],        usecols=["tip","sex","time"],                nrows=5) dfOutput: Example5:Usingskiprowsinread_csv()TheskiprowshelptoskipsomerowsinCSV,i.e,hereyouwillobservethattheupperrowandthelastrowfromtheoriginalCSVdatahavebeenskipped.Python3pd.read_csv("example1.csv",skiprows=[1,12])Output: MyPersonalNotes arrow_drop_upSave LikeNext Python|WorkingwithPandasandXlsxWriter|Set-1RecommendedArticlesPage:22,Jan2006,May2123,Jan1923,Feb2123,Feb2103,Mar2106,Apr2225,Mar2106,Jul2003,Mar2116,Apr2109,Sep2116,Dec2130,Jun2129,Jun2030,Apr2029,Jun2029,Aug2030,Aug2010,Dec2017,Dec2013,Jan2101,Feb2123,Feb21ArticleContributedBy:Kartikaybhutani@KartikaybhutaniVotefordifficultyCurrentdifficulty: EasyEasy Normal Medium Hard ExpertImprovedBy:anikakapoorsooda367sagartomar9927sheetal18junesurajkumarguptainternArticleTags:python-modulesPythonPracticeTags:pythonReportIssueWritingcodeincomment? 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