Yakagadziriswa: wedzera koma kune csv mumapanda

 

Kushanda nemafaira eCSV ibasa rakajairika kana uchibata nekugadzirisa data uye kuongorora. Imwe nyaya inogaro tarisana nayo ndeye kudiwa kwekuwedzera makoma kufaira reCSV kuitira kuti upatsanure minda yedata. Muchinyorwa chino, isu tichaongorora zvakadzama nezve nzira yekuwedzera koma kune CSV faira uchishandisa ine simba Python raibhurari, Pandas. Tichapa tsananguro-nhanho-nhanho yekodhi, inoteverwa nekuongorora kwakadzama kwemaraibhurari ane hukama uye mabasa anobatanidzwa mukuita. Saka ngatinyure mukati uye tiite kuti data rako riwedzere kurongeka uye kuwanikwa!

Solution kune dambudziko

Kuwedzera koma kufaira reCSV, tinogona kuvimba neraibhurari yePandas, inoita kuti CSV yekunyengerera ikurumidze, yakachena, uye ishande. Danho rekutanga nderekuisa Pandas kana iwe usati unayo, zvinogona kuitwa nekumhanyisa unotevera kuraira mune yako terminal:

pip install pandas

Mushure mekuisa Pandas, yave nguva yekurodha yako CSV faira, wedzera koma sezvazvinoita, uye gadzira nyowani CSV faira ine yakagadziridzwa data.

Nhanho-nhanho tsananguro yekodhi

1. Tanga nekuunza kunze raibhurari yePandas:

import pandas as pd

2. Isa faira rako reCSV uchishandisa iyo pd.read_csv() basa. Iva nechokwadi chekutsiva "input_file.csv" nenzira chaiyo yefaira rako.

csv_data = pd.read_csv("input_file.csv")

3. Iye zvino zvawaisa faira yeCSV muPandas DataFrame chinhu, unogona kuishandisa sezvinodiwa. Muchiitiko ichi, iwe unoda kuwedzera koma kuparadzanisa minda yedata. Izvi zvinogona kuitwa nekushandisa ku_csv() function, iyo inokutendera kuti utaure delimiter yefaira reCSV.

csv_data.to_csv("output_file.csv", sep=",", index=False)

4. Pakupedzisira, iyo CSV file yakagadziridzwa ichachengetwa se "output_file.csv" nemakoma akakodzera akawedzerwa.

Zvino, ngatinyure mune mamwe mazano ane hukama, maraibhurari, uye mabasa.

Pandas: Iyo Powerhouse Raibhurari yeData Manipulation

Pandas is an pachena-mabviro raibhurari inopa data manipulation uye maturusi ekuongorora ePython. Yakagadzirirwa chaizvo kushanda netabular data, ichipa data zvimiro seSeries uye DataFrame yekubata data nemazvo. Pandas yakavakirwa pamusoro pemamwe akasimba uye anoshanda ePython maraibhurari akadai seNumPy, uye inopa yakakwira-level interface yekudyidzana nedatasources seCSV, Excel, uye SQL dhatabhesi.

  • Pandas DataFrame: DataFrame ndeye 2-dimensional yakanyorwa data chimiro chine makoramu emhando dzakasiyana. Ndiyo yekutanga data manipulation tool yakapihwa nePandas uye yakagadzirirwa kubata akasiyana siyana mafomati edata.
  • Pandas Series: Series ndeye-dimensional yakanyorwa array inokwanisa kubata chero mhando yedata. Yakagadzirirwa kubata imwechete makoramu yedata uye inoshandiswa sevhavha yekuvaka yeDataFrame.

Python CSV Module: Imwe nzira kune Pandas

Nepo Pandas ichiita kuti zvive nyore kushanda nemafaira eCSV emabasa akaomarara, Python inopa yakavakirwa-mukati module inonzi. csv iyo inopa kushanda kwekuverenga kubva uye kunyora kune CSV mafaera.

Iwo makirasi makuru ekushanda nawo mucsv module ndeaya:

  • csv.reader: Kirasi iyi inoverenga CSV faira uye inodzorera iterator kuti ibudise mutsara wega wega serunyoro rwetambo.
  • csv.writer: Kirasi iyi inopa nzira dzekunyora mitsara kufaira reCSV.

Kunyangwe isina simba sePandas, iyo csv module inogona kuve yakanakira imwe nzira yeakareruka mabasa ayo asingade yakakwira-level data manipulation kana iwe usingade kushandisa kutsamira mupurojekiti yako.

Mukupedzisa, kuwedzera makoma kune CSV faira ibasa rakakosha kana uchibata nekugadzirisa data uye kuongorora. Kushandisa raibhurari yePython ine simba sePandas inorerutsa maitiro aya, ichiita kuti ive yakatwasuka uye inoshanda. Pandas inopa huwandu hwezvinhu uye nzira dzinokutendera iwe kuti ushandise data zvinobudirira uye zvisina musono. Neimwe nzira, kune mabasa ari nyore, Python's yakavakirwa-mukati csv module inogona kushandiswa, ichipa maturusi anodiwa ekushanda nemafaira eCSV. Pasinei neiyo nzira yakasarudzwa, kushanda nedata rakanyatsorongeka ndicho chinhu chikuru chekubudirira kwekuongorora data nekugadzirisa.

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