CODEWITHSUNDEEP
pythoncsv
Leo
Leo

Reputation: 173

How to write elements from a list into a csv with different columns

I have a list for example

['1 sam 2000','2 jack 1232','3 lily 34']

Each element in the list actually contains information for 3 columns and separated by spaces. These were read from a txt file. Now I wish to save these data into a csv file.

I read them using

with open('test.txt','r',encoding='utf-8',errors='ignore') as file:
    li = []
    for i in file:

        i =i.rstrip('\n')
        li.append(i)

Or shall can I simply convert txt into csv ?

Upvotes: 1

Views: 1143

Answers (4)

Yohanmaker
Yohanmaker

Reputation: 11

you could skip the list step an go from a txt file directly to csv if you want, this would do the job:

import csv
    
with open('yourtextfile.txt', 'r') as in_file:
    stripped = (line.strip() for line in in_file)
    lines = (line.split(",") for line in stripped if line)
    with open('result.csv', 'w') as out_file:
        writer = csv.writer(out_file)
        writer.writerow(('title', 'intro'))
        writer.writerows(lines)

i used this answer as example: Convert txt to csv python script

Upvotes: 1

Surya Bhamidipati
Surya Bhamidipati

Reputation: 13

## assumed data to format in the list format
## split each element in the list and create another list of list item
data=['1 sam 2000','2 jack 1232','3 lily 34']

## to save the final result initialize the variable
final_data=[]

## go though each element in the list
for i in data:
    # split each element with the space
    subdata=i.split(" ")
    ## add the element to the final_data
    final_data.append(subdata)


## import pandas and convert list into pandas dataframe
## convert pandas dataframe to csv using to_csv method in pandas
import pandas as pd

pd.DataFrame(final_data).to_csv("result.csv")

Upvotes: 1

tdelaney
tdelaney

Reputation: 77407

You are reading a space-separated CSV file (awkward wording, I know) into a list. Just use the csv module.

import csv

with open('test.txt','r',encoding='utf-8',errors='ignore', newline='') as file:
    li = list(csv.reader(file, sep=' '))

Upvotes: 1

Marcos Vinícius Petri
Marcos Vinícius Petri

Reputation: 434

For every element of the list, you could use a split(" ") to create a separate list and feed into the csv library:

import csv

data= ['1 sam 2000','2 jack 1232','3 lily 34']

with open("csv_file.csv", "w", newline="") as file:
    writer = csv.writer(file)
    for element in data:
        writer.writerow(element.split(" "))

This should create a file called csv_file.csv with:

1,sam,2000
2,jack,1232
3,lily,34

If you need to add the headers, you can do it adding this line before the for loop:

writer.writerow((header1, header2, header3...))

Upvotes: 1

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