How to append integers from file to list?

[DeaD_EyE]

Working with data from the forum:

from collections import Counter
from urllib.request import urlopen, Request

values = list(
    map(
        int,
        urlopen(
            Request(
                "https://python-forum.io/attachment.php?aid=2273",
                headers={
                    "User-Agent": "Mozilla/5.0 (X11; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/110.0"
                },
            )
        )
        .read()
        .split(),
    )
)
top_5 = Counter(values).most_common(5)

Try it online

The solution for crap_data.txt could be:

from itertools import chain

with open("crap_data.txt") as fd:
    values = list(map(int, chain.from_iterable(line.split() for line in fd)))

chain.from_iterable chains iterables together and returns is an iterator.
chain.from_iterable is called with the generator expression: line.split() for line in fd
Iterating over an open file, yields lines (line-seperator included).
The map function calls for each element from chain.from_iterable the function int.
The map function returns an iterator and must be consumed, e.g. with list.

This style does not allow exception handling inside the hidden loops.
If you expect even crappier data, then the naive approach is better.

values = [] # <- we want the int's here

with open("crap_data.txt") as fd:
    for line in fd:
        for word in line.split():
            try:
                value = int(word)
            except ValueError:
                continue
            values.append(value)

Or this example.

crap_data.txt (white space included additionally)

    
    
    
    
    
    202 137 390 235 114 369 198 110 350 396 390 383 225 258 38 291 75 324 401 142 288 397   
    202 137 390 235 114 369 198 110 350 396 390 383 225 258 38 291 75 324 401 142 288 397
    202 137 390 235 114 369 198 110 350 396 390 383 225 258 38 291 75 324 401 142 288 397
    202 137 390 235 114 369 198 110 350 396 390 383 225 258 38 291 75 324 401 142 288 397
    202 137 390 235 114 369 198 110 350 396 390 383 225 258 38 291 75 324 401 142 288 397
    202 137 390 235 114 369 198 110 350 396 390 383 225 258 38 291 75 324 401 142 288 397
    202 137 390 235 114 369 198 110 350 396 390 383 225 258 38 291 75 324 401 142 288 397
    202 137 390 235 114 369 198 110 350 396 390 383 225 258 38 291 75 324 401 142 288 397
    202 137 390 235 114 369 198 110 350 396 390 383 225 258 38 291 75 324 401 142 288 397