Pandas ɗakin karatu ne mai ƙarfi kuma mai sassauƙa a cikin Python, wanda aka saba amfani dashi don sarrafa bayanai da ayyukan bincike. Ɗaya daga cikin mahimman abubuwan da ke cikin Pandas shine series abu, wanda ya ƙunshi nau'i-nau'i ɗaya, mai lakabi. A cikin wannan labarin, za mu mai da hankali kan takamaiman matsala: ƙara kalma zuwa kowane abu a cikin jerin Pandas. Za mu yi tafiya ta hanyar mafita, muna tattauna lambar mataki-mataki don fahimtar ayyukanta na ciki. Bugu da ƙari, za mu tattauna dakunan karatu masu alaƙa, ayyuka, da kuma ba da haske game da matsaloli iri ɗaya.
Panda
An warware: samun adadin da suka ɓace a cikin pandas
Pandas babban ɗakin karatu ne na sarrafa bayanai na buɗe tushen don Python. Yana ba da tsarin bayanai da ayyukan da ake buƙata don sarrafa da kuma nazarin manyan bayanan bayanai yadda ya kamata. Matsala ɗaya gama gari masana kimiyya da manazarta suna ci karo da juna yayin amfani da pandas shine sarrafa ƙimar da bacewar a cikin bayanan. A cikin wannan labarin, za mu bincika yadda ake ƙididdige adadin ƙimar da suka ɓace a cikin pandas DataFrame ta amfani da dabaru daban-daban, bayanin mataki-mataki na lambar, da zurfafa zurfafa cikin wasu ɗakunan karatu da ayyukan da ke cikin warware wannan matsala.
An warware: saka pandas ginshiƙi da yawa
Pandas babban ɗakin karatu ne na Python mai ƙarfi kuma mai amfani da shi sosai don sarrafa bayanai da bincike. Ɗayan buƙatu na gama gari lokacin aiki tare da bayanai shine saka ginshiƙai da yawa a cikin DataFrame. A cikin wannan labarin, za mu bincika tsarin ƙara ginshiƙai da yawa zuwa DataFrame ta amfani da ɗakin karatu na Pandas, tattauna lambar, da zurfafa zurfafa cikin ayyuka masu alaƙa, ɗakunan karatu, da ra'ayoyi waɗanda zasu iya taimaka muku zama ƙwararren Pandas.
An warware: tace duk ginshiƙai a pandas
A cikin duniyar nazarin bayanai, sarrafa manyan bayanan bayanai na iya zama aiki mai ban tsoro. Ɗaya daga cikin mahimman sassan wannan tsari shine tace bayanai don samun bayanan da suka dace. Idan ya zo ga Python, ɗakin karatu mai ƙarfi pandas ya zo taimakonmu. A cikin wannan labarin, za mu tattauna yadda ake tace duk ginshiƙai a cikin pandas DataFrame. Za mu bi ta hanyar bayanin mataki-mataki na lambar kuma mu ba da zurfin fahimtar ɗakunan karatu da ayyuka waɗanda za a iya amfani da su don matsaloli iri ɗaya.
An warware: canza tambarin lokaci zuwa pandas na lokaci
A cikin duniyar yau, aiki tare da bayanan jeri-lokaci muhimmin fasaha ne ga mai haɓakawa. Ɗaya daga cikin ayyukan gama gari shine canza tambarin lokaci zuwa takamaiman lokaci, kamar bayanan sati ko kowane wata. Wannan aikin yana da mahimmanci don nazari daban-daban, kamar nazarin yanayin da kuma tsarin bayanai. A cikin wannan labarin, za mu bincika yadda ake canza tambarin lokaci zuwa lokaci a cikin jerin lokaci-lokaci ta amfani da laburaren Python mai ƙarfi, Pandas. Za mu kuma yi zurfin zurfi cikin lambar, bincika dakunan karatu da ayyukan da ke cikin tsarin, kuma mu fahimci mahimmancin su wajen magance wannan matsala.
Pandas shine nazarin bayanan tushen bude-bude da ɗakin karatu na magudi, wanda ke ba da sassauƙa da ayyuka masu ƙarfi don aiki tare da bayanan jerin lokaci. Yana sa aikinmu ya zama mai sauƙi, daidai, da inganci.
An warware: Don canza kwanan wata dtypes daga Abun zuwa ns%2CUTC tare da Pandas
Pandas kayan aiki ne mai mahimmanci a cikin duniyar sarrafa bayanai da bincike yayin aiki tare da Python. Sassaucinsa da sauƙin amfani ya sa ya dace da ayyuka masu yawa da suka shafi sarrafawa da nazarin bayanai. Matsala ɗaya ta gama gari da ake fuskanta lokacin aiki tare da Pandas shine canza nau'in kwanan wata daga Abu zuwa ns tare da yankin lokacin UTC. Wannan juyawa ya zama dole saboda, a wasu bayanan bayanai, ba a gane ginshiƙan kwanan wata azaman dtypes ta tsohuwa kuma a maimakon haka ana ɗaukar abubuwa.
An warware: canza ginshiƙin ranar haihuwa zuwa pandas na shekaru
A cikin duniyar yau, nazarin bayanai ya ƙara zama mahimmanci, kuma ɗayan shahararrun kayan aikin da masu nazarin bayanai da masana kimiyya ke amfani da su shine Python tare da ɗakin karatu na pandas. Pandas mai ƙarfi ne, buɗaɗɗen bayanan bayanan bayanan da kayan aikin magudi wanda ke ba da damar yin amfani da sauƙin tsarin bayanai da jeri. Matsala ɗaya ta gama gari da masu amfani ke ci karo da ita ita ce canza ranar haihuwa zuwa shekaru don ƙarin ingantaccen bincike mai amfani. A cikin wannan labarin, za mu bincika yadda za a magance wannan batu tare da bayyanannun misalai da bayanin aiwatar da lambar.
Pandas kayan aiki ne na yau da kullun wanda galibi ya ƙunshi aiki tare da abubuwan DateTime - wannan shine yanayin lokacin da ake hulɗa da kwanakin haihuwa. Mataki na farko don canza kwanakin haihuwa zuwa shekaru yana buƙatar lissafi mai sauƙi tare da ɗakin karatu na DateTime. Wannan zai ba mu damar gano shekarun daidaikun mutane ta hanyar ƙididdige bambanci tsakanin ranar haihuwarsu da kwanan wata
An warware: pandas karanta parquet daga s3
A cikin duniyar yau da ake amfani da kayan kwalliya, ma'amala da manyan bayanai ya zama ruwan dare gama gari, kuma pandas sanannen ɗakin karatu ne a Python wanda ke ba da ƙarfi, kayan aikin sarrafa bayanai masu sauƙin amfani. Daga cikin nau'ikan nau'ikan bayanai iri-iri, ana amfani da Parquet sosai don ingantaccen ma'ajin sa da kuma ma'auni mai nauyi. Amazon S3 sanannen zaɓi ne na ajiya don fayilolinku, kuma haɗa shi tare da pandas na iya haɓaka aikin ku sosai. A cikin wannan labarin, za mu bincika yadda ake karanta fayilolin Parquet daga Amazon S3 ta amfani da ɗakin karatu mai ƙarfi na pandas.
An warware: pandas musamman ƙima kowane shafi
Pandas babban ɗakin karatu na Python mai ƙarfi ne kuma ana amfani da shi sosai don sarrafa bayanai da bincike. Ɗayan aiki gama gari lokacin aiki tare da saitin bayanai shine buƙatun nemo ƙima na musamman a kowane shafi. Wannan na iya zama mai taimako wajen fahimtar bambancin da rarraba dabi'u a cikin bayananku, da kuma gano yuwuwar fitattu da kurakurai. A cikin wannan labarin, za mu bincika yadda ake cim ma wannan aikin ta amfani da Pandas kuma mu ba da cikakken bayani, mataki-mataki bayanin lambar da ke ciki. Za mu kuma tattauna wasu ɗakunan karatu da ayyuka masu alaƙa waɗanda za su iya zama masu amfani yayin aiki tare da ƙima na musamman da sauran ayyukan tantance bayanai.