Pandas iraibhurari ine simba uye inochinjika muPython, inowanzoshandiswa kugadzirisa data uye kuongorora mabasa. Chimwe chezvinhu zvakakosha mukati mePandas ndeye Series chinhu, icho chinoumba one-dimensional, yakanyorwa array. Muchinyorwa chino, isu tichatarisa pane chaiyo dambudziko: kuwedzera izwi kune chimwe nechimwe chinhu muPandas Series. Tichafamba nemhinduro, tichikurukura kodhi nhanho nhanho kuti tinzwisise kushanda kwayo kwemukati. Pamusoro pezvo, tichakurukura nezvemaraibhurari ane hukama, mabasa, uye nekupa ruzivo mumatambudziko akafanana.
pandas
Yakagadziriswa: kuwana huwandu hwekushaikwa kwakakosha mumapanda
Pandas inoshandiswa zvakanyanya yakavhurika-sosi data manipulation raibhurari yePython. Inopa zvimiro zve data uye mabasa anodiwa kuti anyatso shandisa uye kuongorora mahombe dataset. Rimwe dambudziko rakajairika data masayendisiti uye vanoongorora vanosangana vachiri kushandisa pandas kubata hunhu husipo mudhata. Muchinyorwa chino, isu tichaongorora maverengero ehuwandu hweakashaikwa muPandas DataFrame tichishandisa akasiyana matekiniki, nhanho-ne-nhanho tsananguro dzekodhi, uye kuzama zvakadzama mune mamwe maraibhurari nemabasa anobatanidzwa mukugadzirisa dambudziko iri.
Yakagadziriswa: isa akawanda columns pandas
Pandas iraibhurari ine simba uye inoshanda zvakasiyana-siyana yePython inoshandiswa zvakanyanya pakugadzirisa data uye kuongorora. Chimwe chinhu chinodiwa kana uchishanda nedata kuisa akawanda makoramu muDataFrame. Muchinyorwa chino, tichaongorora maitiro ekuwedzera akawanda makoramu kuDataFrame uchishandisa iyo Pandas raibhurari, kurukura kodhi, uye kunyura zvakadzika mumabasa ane hukama, maraibhurari, uye pfungwa dzinogona kukubatsira iwe kuve nyanzvi yePandas.
Yakagadziriswa: sefa makoramu ese mumapanda
Munyika yekuongorora data, kubata dhatabhesi hombe kunogona kuve basa rakaoma. Chimwe chezvikamu zvakakosha zvechiitiko ichi kusefa data kuti uwane ruzivo rwakakodzera. Kana zvasvika kuPython, raibhurari ine simba pandas anouya kuzotibatsira. Munyaya ino tichakurukura sei kusefa makoramu ese mupandas DataFrame. Tichapfuura nenhanho-nhanho tsananguro yekodhi uye kupa kunzwisisa kwakadzama kwemaraibhurari uye mabasa anogona kushandiswa kune mamwe matambudziko.
Yakagadziriswa: shandura timestamp kuita nguva pandas
Munyika yanhasi, kushanda nenguva-yakatevedzana data inyanzvi yakakosha kune mugadziri. Rimwe remabasa akajairwa nderekushandura timestamp kune yakatarwa nguva, senge data revhiki kana remwedzi. Kuvhiya uku kwakakosha pakuongorora kwakasiyana, sekufunda maitiro uye mapatani mune data. Muchinyorwa chino, isu tichaongorora maitiro ekushandura timestamp kuti ive nguva mune yenguva-yakateedzera dataset uchishandisa ine simba Python raibhurari, Pandas. Tichatorawo kunyura mukati mekodhi, kuongorora maraibhurari nemabasa anobatanidzwa mukuita, uye kunzwisisa kukosha kwavo mukugadzirisa dambudziko iri.
Pandas ndeye yakavhurika-sosi data yekuongorora uye manipulation raibhurari, iyo inopa inoshanduka uye yakakwirira-kuita mabasa ekushanda nenguva-yakateedzera data. Inoita kuti basa redu rive nyore, rakarurama, uye rishande.
Yakagadziriswa: Kushandura Date dtypes kubva kuChinhu kuenda ku ns% 2CUTC nePandas
Pandas chishandiso chakakosha munyika yedata manipulation uye ongororo kana uchishanda nePython. Kuchinja kwayo uye nyore-kwe-kushandisa kunoita kuti ive yakakodzera kune yakawanda yemabasa ane chekuita nekubata uye kuongorora data. Rimwe dambudziko rinowanzosangana naro paunenge uchishanda nePandas kushandura date dtypes kubva kuObject kuenda kuns neUTC timezone. Shanduko iyi inodiwa nekuti, mune mamwe madheti, makoramu emazuva haazivikanwe semazuva dtypes nekukasira uye anotorwa sezvinhu.
Yakagadziriswa: shandura zuva rekuzvarwa koramu kuita zera pandas
Munyika yanhasi, kuongororwa kwedata kwave kuwedzera kukosha, uye chimwe chezvishandiso zvakakurumbira zvinoshandiswa nevanoongorora data uye data masayendisiti iPython ine pandas raibhurari. Pandas ine simba, yakavhurika-sosi yekuongorora dhata uye manipulation chishandiso chinobvumira kunyengera kuri nyore kwe data zvimiro uye nhevedzano. Rimwe dambudziko rinowanzosangana nevashandisi nderekushandura mazuva ekuzvarwa kuti ave mazera kuti anyatsoongorora uye anoshanda. Muchikamu chino, tichaongorora maitiro ekugadzirisa nyaya iyi nemienzaniso yakajeka uye tsananguro dzekushandiswa kwekodhi.
Pandas chishandiso chinogoneka chinowanzo batanidza kushanda neDateTime zvinhu - ndizvo zvazviri kana uchibata nemazuva ekuzvarwa. Danho rekutanga rekushandura mazuva ekuzvarwa kuita zera rinoda arithmetic iri nyore neDateTime library. Izvi zvichatigonesa kuwana zera revanhu nekuverenga mutsauko uripo pakati pezuva ravo rekuzvarwa nerizvino
Yakagadziriswa: pandas inoverenga parquet kubva pas3
Munyika yanhasi inofambiswa nemafashoni, kubata nemaseti makuru edata kwakajairika, uye pandas raibhurari yakakurumbira muPython inopa zvine simba, zviri nyore kushandisa data manipulation maturusi. Pakati peakasiyana siyana mafomati edata, Parquet inoshandiswa zvakanyanya kune yayo inoshanda columnar kuchengetedza uye isingaremi syntax. Amazon S3 inzira yakakurumbira yekuchengetedza mafaera ako, uye kuibatanidza nepandas kunogona kuvandudza zvakanyanya mafambiro ako. Muchinyorwa chino, tichaongorora maverengero eParquet mafaera kubva kuAmazon S3 tichishandisa iro rine simba pandas raibhurari.
Yakagadziriswa: pandas yakasarudzika kukosha imwe neimwe column
Pandas isimba uye rinoshandiswa zvakanyanya-Python raibhurari yekushandura data uye kuongorora. Rimwe basa rakajairika kana uchishanda nedatasets ndiko kudiwa kwekuwana yakasarudzika tsika mukoramu yega yega. Izvi zvinogona kubatsira mukunzwisisa kusiyana uye kugoverwa kwehunhu mu data rako, pamwe nekuona zvinogona kubuda uye zvikanganiso. Muchikamu chino, tichaongorora maitiro ekuita basa iri tichishandisa Pandas uye kupa tsanangudzo, nhanho-nhanho-nhanho yekodhi inobatanidzwa. Tichakurukurawo mamwe maraibhurari ane hukama uye mabasa anogona kubatsira kana uchishanda neakasarudzika maitiro uye mamwe mabasa ekuongorora data.