Python: Read Text File and Split File into List Variables, With Each Variable Having 4 Lines Each

Python 3, Read textfile and separate each line and fill in corresponding variables

Here's something that should work:

first we need to get all the lines read into a list.

>>> with open('in.txt', 'r') as f:
>>>     lines = f.read().splitlines()

now we can index nicely in:

>>> print(lines[0])
    John|Graham|JOB|AGE

Okay, now we want to split each line into the data we need.

>>> first = lines[0]
>>> info = first.split('|')
    ['John', 'Graham', 'JOB', 'AGE']

And then to put everything into a variable:

>>> NAME, LASTNAME, JOB, AGE = info
>>> print(NAME)
    John
>>> print(LASTNAME)
    Graham

Putting it all together:

with open('in.txt', 'r') as f:
    lines = f.read().splitlines()

def get_info(lines, line_num):
    line = lines[line_num]
    return line.split('|')

NAME, LASTNAME, JOB, AGE = get_info(lines, 0)
print(NAME) # Prints "John"

If you don't want to read in the whole file at once, you can use the same techniques in your script:

with open(filename) as fp:
    for i, line in enumerate(fp):    
        print(i)
        print(line)
        if i == index:
            NAME, LASTNAME, JOB, AGE = line.split('|')
            break

How can I attribute each line of a txt file to a variable?

Instead of having so many variables, a better solution would be to use a dictionary instead. So basically something like:

my_dictionary = {}

with open('sentences.txt', 'r') as file:
    lines = file.readlines()
    for line in lines:
        my_dictionary[lines.index(line)] = line.strip()

print(my_dictionary)

So to access the line, you can just access the key of that dictionary, making your code efficient and clean :)

Making specific columns in a text file into a list

You could use pandas, it also fixes the scientific notation:

import pandas as pd

df = pd.read_csv('filename.txt', delim_whitespace=True, header=None, skiprows=3, skipfooter=4, engine='python')

Output df:

f = open('1.txt' , 'r')
lines = f.read().split(" ")