with open('file name.csv') as file:
csv_data = []
for line in file.readlines():
csv_data.append(line.split(','))
I know how to divide rows and columns.Invoke only the columns you need
I don't know how to save it as a txt file again.
Python is very new to me.<
It doesn't matter if csv is saved as txt in the txt file.
What I need is, assuming that I need columns 1-5, how do I do that?
There can be many ways.
I used the Pandas module, which is used a lot for data processing.
Part of WHO_8COLS.csv.
,Country,CountryID,Continent,Adolescent fertility rate (%),Adult literacy rate (%),Gross national income per capita (PPP international $),Net primary school enrolment ratio female (%),Net primary school enrolment ratio male (%),Population (in thousands) total
0,Afghanistan,1,1,151.0,28.0,,,,26088.0
1,Albania,2,2,27.0,98.7,6000.0,93.0,94.0,3172.0
2,Algeria,3,3,6.0,69.9,5940.0,94.0,96.0,33351.0
3,Andorra,4,2,,,,83.0,83.0,74.0
import pandas as pd
df = pd.io.parsers.read_csv("WHO_8COLS.csv")
sliceData = df.loc[:, 'Country'] #Country column only truncated
Save as sliceData.to_csv('newSliced.csv', index=False) #csv
Try it in GO language
The sample.csv is shown below.
first_name,last_name,username
Rob,Pike,rob
Ken,Thompson,ken
Robert,Griesemer,gri
package main
import (
"encoding/csv"
"os"
)
func main() {
rf, _ := os.Open("f:\\sample.csv")
defer rf.Close()
r := csv.NewReader(rf)
records, _ := r.ReadAll()
saveRecords := [][]string{} // filtered rows
for _, record := range records {
saveRecords = append (saveRecords, record[0:2]) // Filter Save only the first and second columns
}
// Store filtered records in a new file
wf, _ := os.Create("F:\\sample_new.csv")
defer wf.Close()
w := csv.NewWriter(wf)
w.WriteAll(saveRecords)
}
Results
first_name,last_name
Rob,Pike
Ken,Thompson
Robert,Griesemer
© 2025 OneMinuteCode. All rights reserved.