how to use info from .txt file to create variables in python?

I would use regex to accomplish that. Assuming the file (car.txt) looks like this:

vin_brand_type_year_price
2132_BMW_330xi_2016_67000
1234_audi_a4_2019_92000
9876_mclaren_720s_2022_327000

I would use this python script:

import re

with open('car.txt') as f:
    data = f.readlines()

vin = []
for v in data:
    if match := re.match(r'(\d+)', v.strip()):
        vin.append(match.group(0))

print(vin)

the

r'^(\d)+'

is a regex for selecting the part of the text that starts with digits. This is to ensure any line in the file that doesn't start with digits will be ignored.

There are several ways to do this. The best depends on what you plan to do next. This file will parse with the csv module and you can use csv.reader to iterate all of the lines. To get vin specifically, you could

import csv

with open('car.txt', 'r') as file:
    next(file) # drop header
    vin = [row[0] for row in csv.reader(file, delimiter="_")]

You can slice the strings around '_', get the first part (at index 0) and append it to a list variable:

vin = []

with open('car.txt', 'r') as file:
    lines = file.readlines()    
for line in lines.splitlines():
    line = line.strip()
    if line:
        vin.append(line.split('_')[0])
        
vin.pop(0) # this one because I was too cheap to skip the header line :)

Here is a method to make a dict of the values and treat the first row as the header:

with open(your_file) as f:
    header=next(f).rstrip().split('_')
    data={}
    for row in f:
        for k, v in zip(header, row.rstrip().split('_')):
            data.setdefault(k, []).append(v)

Or, you can use some * magic and more succinctly do:

with open(your_file) as f:
    data={k:v for k,*v in (zip(*[e.rstrip().split("_") for e in f]))}

Either results:

>>> data
{'vin': ['2132', '1234', '9876'], 'brand': ['BMW', 'audi', 'mclaren'], 'type': ['330xi', 'a4', '720s'], 'year': ['2016', '2019', '2022'], 'price': ['67000', '92000', '327000']}