Kugadziridza faira kakawanda muPandas chinhu chakakosha paunenge uchishanda nemaseti makuru mumunda wekuongorora data, manipulation data, uye kuchenesa data. Pandas iraibhurari yePython inoshandiswa zvakanyanya inopa nyore-kushandisa-data zvimiro uye maturusi ekuongorora data ayo anobvumira vashandisi kubata nemafomati akasiyana efaira akadai seCSV, Excel, uye SQL dhatabhesi.
Dambudziko guru ratichatarisa pakugadzirisa munyaya ino nderekugadzirisa faira kakawanda uchishandisa raibhurari yePandas muPython. Izvi zvinosanganisira kuverenga iyo data, kuita shanduko dzinodikanwa kana shanduko, uyezve kunyora iyo data kufaira. Isu tichaongorora chikamu chimwe nechimwe chemaitiro, tichitsanangura kodhi inosanganisirwa, uye kukurukura akati wandei maraibhurari uye mabasa ane chekuita nedambudziko iri.
Dambudziko Solution:
Kuti uvandudze faira kakawanda muPandas, tinoda kuverenga faira tichishandisa Pandas, ita zvigadziriso zvinodiwa, uye wozochengeta faira nemashoko akagadziridzwa. Ngatitore nhanho-ne-nhanho nzira kuti tinzwisise mhinduro iyi zviri nani.
import pandas as pd
# Step 1: Read the file
file_path = 'your_file.csv'
data = pd.read_csv(file_path)
# Step 2: Make necessary updates
data['column_name'] = data['column_name'].replace('old_value', 'new_value')
# Step 3: Save the updated data to the file
data.to_csv(file_path, index=False)
Nhanho-ne-nhanho kodhi tsananguro:
1. Kutanga, tinopinza raibhurari yePandas muPython tichishandisa import pandas as pd.
2. Zvadaro, tinotsanangura nzira yefaira, verenga CSV file uchishandisa pd.read_csv(file_path), uye chengetedza data mu "data" inoshanduka.
3. Mushure mekuwana data muPandas DataFrame, tinoita zvigadziriso pairi nekuvandudza imwe column tichishandisa replace() basa.
4. Pakupedzisira, tinochengetedza data yakagadziridzwa kune faira nekudana iyo to_csv() nzira uye kupfuudza iyo faira nzira uye index=False kudzivirira kunyora index kufaira.
Pandas Library uye Mabasa ayo
- Pandas yakavhurika-sosi Python raibhurari inopa yakakwirira-inoshanda data manipulation uye maturusi ekuongorora. Inogonesa kubata akasiyana siyana mafomati edata, akadai seCSV, Excel, uye SQL dhatabhesi zviri nyore.
- verenga_csv() ibasa muPandas inoverenga CSV faira uye inodzorera DataFrame. Iri basa rinobatsira pakurodha dhatabhesi hombe kuti uwedzere kuwongorora nekugadzirisa.
- kutsiva () iPandas DataFrame basa rinoshandiswa mumuenzaniso wedu kutsiva chaiyo yekare kukosha nehutsva hutsva mune imwe column yedata.
Kunzwisisa DataFrame muPandas
Muchirevo chePandas, iyo DataFrame ndeye maviri-dimensional akanyorwa data chimiro ane makoramu akabata data remhando dzakasiyana. Icho chinhu chakakosha chekubata data mumitsara nemakoramu, ichigonesa kuwedzera, kugadziridza, kana kubviswa kwedata zvisina musono. Mamwe mabasa akajairwa neDataFrames anosanganisira:
- Kuverenga data kubva kune akasiyana faira mafomati,
- Kugadzirisa data uchishandisa akavakirwa-mukati mabasa,
- Kuita statistical mashandiro,
- Kugadzira makoramu matsva kana kuvandudza aripo,
- Pivot matafura uye boka nekushanda kwekuunganidza data.
Muchidimbu, kuvandudza faira kakawanda uchishandisa Pandas muPython kunosanganisira kuverenga faira, kuita zvinogadziriswa zvinodikanwa pane data, uye kuchengetedza ruzivo rwakagadziridzwa kudzoka kufaira. Mhinduro yakapihwa muchinyorwa ichi inoratidza muenzaniso wakapfava weichi chiitiko, ichitsanangura nhanho imwe neimwe uye mabasa ane hukama zvakadzama. Pandas, seraibhurari ine simba pamwoyo webasa iri, inopa akati wandei mabasa uye maturusi ekuita kuongororwa kwedata uye manomano maitiro ari nyore uye anoshanda zvakanyanya.
