I-Pandas yilayibrari enamandla kwaye eguquguqukayo kwi-Python, esetyenziswa ngokuqhelekileyo ukukhohlisa idatha kunye nemisebenzi yokuhlalutya. Enye yezinto eziphambili kwiPandas yi uthotho into, eyenza i-dimensional enye, ileyibhile uluhlu. Kweli nqaku, siza kugxila kwingxaki ethile: ukongeza igama kuyo yonke into kwiPandas Series. Siza kuhamba ngesisombululo, sixoxe ngekhowudi yesinyathelo ngesinyathelo ukuqonda ukusebenza kwayo kwangaphakathi. Ukongeza, siza kuxoxa ngeelayibrari ezinxulumeneyo, imisebenzi, kunye nokubonelela ngemibono kwiingxaki ezifanayo.
Iipandas
Isonjululwe: ukufumana inani lamaxabiso angekhoyo kwiipanda
I-Pandas yilayibrari esetyenziswa ngokubanzi evulekileyo yokukhohlisa idatha yePython. Ibonelela ngolwakhiwo lwedatha kunye nemisebenzi efunekayo ukulawula ngokufanelekileyo kunye nokuhlalutya iiseti zedatha ezinkulu. Enye ingxaki eqhelekileyo yedatha izazinzulu kunye nabahlalutyi badibana ngelixa usebenzisa i-pandas ukuphatha amaxabiso alahlekileyo kwidathasethi. Kweli nqaku, siza kuphonononga indlela yokubala inani lamaxabiso alahlekileyo kwi-pandas DataFrame usebenzisa iindlela ezahlukeneyo, iinkcazo zenyathelo ngenyathelo lekhowudi, kwaye sijonge nzulu kwezinye iilayibrari kunye nemisebenzi ebandakanyekayo ekusombululeni le ngxaki.
Isonjululwe: faka iipanda zekholamu ezininzi
I-Pandas yilayibrari yePython enamandla kwaye eguquguqukayo esetyenziswa ngokubanzi ukukhohlisa kunye nohlalutyo lwedatha. Enye imfuno eqhelekileyo xa usebenza ngedatha kukufaka iikholamu ezininzi kwiDathaFrame. Kweli nqaku, siza kuphonononga inkqubo yokongeza iikholamu ezininzi kwiDathaFrame sisebenzisa ithala leencwadi lePanda, sixoxe ngekhowudi, kwaye singene nzulu kwimisebenzi enxulumeneyo, amathala eencwadi, kunye neekhonsepthi ezinokukunceda ube yingcali yePandas.
Isonjululwe: hluza zonke iikholamu kwiipanda
Kwihlabathi lohlalutyo lwedatha, ukuphatha iiseti zedatha enkulu kunokuba ngumsebenzi onzima. Enye yeendawo ezibalulekileyo zale nkqubo kukucoca idatha ukufumana ulwazi olufanelekileyo. Xa kuziwa kwiPython, ithala leencwadi elinamandla pandas uya kusinceda. Kweli nqaku, siza kuxubusha indlela yokucoca yonke imiqolo kwipandas DataFrame. Siza kuhamba ngesinyathelo-nge-nyathelo inkcazo yekhowudi kwaye sinikeze ukuqonda okunzulu kwamathala eencwadi kunye nemisebenzi engasetyenziselwa iingxaki ezifanayo.
Isonjululwe: guqula isitampu sexesha sibe ziipandas zexesha
Kwihlabathi lanamhlanje, ukusebenza ngothotho lwedatha sisakhono esibalulekileyo kumphuhlisi. Omnye wemisebenzi eqhelekileyo kukuguqula isitampu sexesha kwixesha elithile, njengedatha yeveki okanye yenyanga. Lo msebenzi ubalulekile kuhlalutyo olwahlukeneyo, njengokufunda iintsingiselo kunye neepateni kwidatha. Kweli nqaku, siza kuphonononga indlela yokuguqula isitampu sexesha kwixesha kwidatha-seti yedatha usebenzisa ithala leencwadi lePython elinamandla, iPandas. Siza kuphinda singene nzulu kwikhowudi, siphonononge amathala eencwadi kunye nemisebenzi ebandakanyekayo kwinkqubo, kwaye siqonde ukubaluleka kwayo ekusombululeni le ngxaki.
I-Pandas i-open-source-source analysis data kunye nelayibrari yokukhwabanisa, ebonelela ngemisebenzi eguquguqukayo kunye nephezulu yokusebenza kunye nedatha yexesha. Yenza umsebenzi wethu ube lula, uchanekile kwaye usebenze kakuhle.
Isonjululwe: Ukuguqula Iindidi zomhla ukusuka kwinto ukuya kwi-ns% 2CUTC ngeePanda
I-Pandas sisixhobo esibalulekileyo kwihlabathi lokuguqulwa kwedatha kunye nohlalutyo xa usebenza nePython. Ukuguquguquka kwayo kunye nokulula kokusetyenziswa kwenza ukuba ilungele uluhlu olubanzi lwemisebenzi enxulumene nokuphatha kunye nokuhlalutya idatha. Enye ingxaki eqhelekileyo ejongene nayo xa usebenza neePandas kukuguqula ii-dtypes zomhla ukusuka kwi-Object ukuya kwi-ns nge-UTC yexesha lendawo. Olu guqulelo luyimfuneko kuba, kwezinye iiseti zedatha, imihlathi yomhla ayiqatshelwanga njengee-dtypes ngokwendalo kwaye endaweni yoko ijongwa njengezinto.
Isonjululwe: guqula ikholamu yomhla wokuzalwa ibe yipanda yobudala
Kwihlabathi lanamhlanje, uhlalutyo lwedatha luye lwaba lubaluleke kakhulu, kwaye esinye sezona zixhobo zidumileyo ezisetyenziswa ngabahlalutyi bedatha kunye nososayensi bedatha yiPython kunye nelayibrari yepandas. I-Pandas inamandla, uhlalutyo lwedatha oluvulekileyo kunye nesixhobo sokukhwabanisa esivumela ukunyanzeliswa lula kwezakhiwo zedatha kunye nochungechunge. Ingxaki enye eqhelekileyo abadibana nayo abasebenzisi kukuguqula imihla yokuzalwa ukuya kwiminyaka yobudala ukuze kuhlalutye oluchanekileyo nolusebenzayo. Kweli nqaku, siza kuhlolisisa indlela yokujongana nalo mbandela ngemizekelo ecacileyo kunye neenkcazo zokuphunyezwa kwekhowudi.
I-Pandas sisixhobo esisebenza ngeendlela ezininzi esihlala sibandakanya ukusebenza kunye nezinto zeDateTime - oku kunjalo xa ujongene nemihla yokuzalwa. Inyathelo lokuqala lokuguqula imihla yokuzalwa ibe bubudala ifuna i-arithmetic elula kunye nethala leencwadi leDateTime. Oku kuya kusenza sikwazi ukufumana ubudala bomntu ngokubala umahluko phakathi komhla wabo wokuzalwa kunye nomhla wangoku
Isonjululwe: iipanda zifunda ipalakethi ukusuka ku-s3
Kwihlabathi lanamhlanje eliqhutywa yifashoni, ukujongana neeseti zedatha enkulu kuyinto eqhelekileyo, kwaye i-pandas lithala leencwadi elidumileyo ePython elibonelela ngezixhobo ezinamandla, ekulula ukuzisebenzisa zokukhohlisa idatha. Phakathi kweentlobo ezininzi zeefomathi zedatha, iParquet isetyenziswa ngokubanzi ukugcinwa kwayo kwekholamu efanelekileyo kunye ne-syntax elula. IAmazon S3 lukhetho oludumileyo lokugcina iifayile zakho, kwaye ukuyidibanisa neepandas kunokuphucula kakhulu ukuhamba kwakho komsebenzi. Kweli nqaku, siza kuhlolisisa indlela yokufunda iifayile zeParquet kwi-Amazon S3 usebenzisa ilayibrari ye-pandas enamandla.
Isonjululwe: iipandas ixabiso elikhethekileyo ikholamu nganye
I-Pandas lithala leencwadi lePython elinamandla kwaye lisetyenziswa ngokubanzi ukukhohlisa kunye nohlalutyo lwedatha. Umsebenzi omnye oqhelekileyo xa usebenza ngeeseti zedatha yimfuneko yokufumana amaxabiso awodwa kwikholamu nganye. Oku kunokuba luncedo ekuqondeni iyantlukwano kunye nokuhanjiswa kwamaxabiso kwidatha yakho, kunye nokuchonga izinto ezinokubakho kunye neempazamo. Kule nqaku, siza kuphonononga indlela yokuphumeza lo msebenzi usebenzisa iPandas kwaye unike inkcazo ecacileyo, inyathelo ngenyathelo lekhowudi echaphazelekayo. Siza kuxoxa kwakhona ngamathala eencwadi anxulumeneyo kunye nemisebenzi enokuba luncedo xa usebenza ngexabiso elilodwa kunye neminye imisebenzi yohlalutyo lwedatha.