I have a .txt file with this inside - 2.9,Gardena CA
What I'm trying to do is convert that text into a .csv (table) using a python script:
import csv
import itertools
with open('log.txt', 'r') as in_file:
stripped = (line.strip() for line in in_file)
lines = (line for line in stripped if line)
grouped = itertools.izip(*[lines] * 3)
with open('log.csv', 'w') as out_file:
writer = csv.writer(out_file)
writer.writerow(('title', 'intro'))
writer.writerows(grouped)
The output I get in the log.csv file is - title,intro,tagline
What I would want the log.csv file to show is:
title,intro
2.9,Gardena CA
You need to split the line first.
import csv
with open('log.txt', 'r') as in_file:
stripped = (line.strip() for line in in_file)
lines = (line.split(",") for line in stripped if line)
with open('log.csv', 'w') as out_file:
writer = csv.writer(out_file)
writer.writerow(('title', 'intro'))
writer.writerows(lines)
import pandas as pd
df = pd.read_fwf('log.txt')
df.to_csv('log.csv')
I suposse this is the output you need:
title,intro,tagline
2.9,Gardena,CA
It can be done with this changes to your code:
import csv
import itertools
with open('log.txt', 'r') as in_file:
lines = in_file.read().splitlines()
stripped = [line.replace(","," ").split() for line in lines]
grouped = itertools.izip(*[stripped]*1)
with open('log.csv', 'w') as out_file:
writer = csv.writer(out_file)
writer.writerow(('title', 'intro', 'tagline'))
for group in grouped:
writer.writerows(group)
This is how I do it:
with open(txtfile, 'r') as infile, open(csvfile, 'w') as outfile:
stripped = (line.strip() for line in infile)
lines = (line.split(",") for line in stripped if line)
writer = csv.writer(outfile)
writer.writerows(lines)
Hope it helps!
In python version 3.x, the intertools.izip is not operate.
The functional code for Python 3 is:
import csv
import zlib
with open('output.txt', 'r') as in_file:
lines = in_file.read().splitlines()
stripped = [line.replace(","," ").split() for line in lines]
grouped = zip(*[stripped]*1)
with open('teste.csv', 'w') as out_file:
writer = csv.writer(out_file)
writer.writerow(('A', 'B', 'C', 'D'))
for group in grouped:
writer.writerows(group)
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