如何从列表中选择数字序列？

Question

I have a startnumber and an endnumber.
From these numbers I need to pick a sequence of numbers.
The sequences is not always the same.

Example:

startnumber = 1
endnumber = 32

I need to create a list of numbers with a certain sequence
pe
3 numbers yes, 2 numbers no, 3 numbers yes, 2 numbers no.. etc

Expected output:

[[1-3],[6-8],[11-13],[16-18],[21-23],[26-28],[31-32]]

(at the end there are only 2 numbers remaining (31 and 32))

Is there a simple way in python to select sequences of line from a range of numbers?

Answer 1

numbers = range(1,33)
take = 3
skip = 2
seq = [list(numbers[idx:idx+take]) for idx in range(0, len(numbers),take+skip)]

Answer 2

Extrapolating this out:

def get_data(data, filterfunc=None):
    if filterfunc is None:
        filterfunc = lambda: True  # take every line

    result = []
    sub_ = []
    for line in data:
        if filterfunc():
            sub_.append(line)
        else:
            if sub_:
                result.append(sub_)
                sub_ = []

    return result

# Example filterfunc
def example_filter(take=1, leave=1):
    """example_filter is a less-fancy version of itertools.cycle"""

    while True:
        for _ in range(take):
            yield True
        for _ in range(leave):
            yield False

# Your example
final = get_data(range(1, 33), example_filter(take=3, leave=2))

As alluded to in the docstring of example_filter, the filterfunc for get_data is really just expecting a True or False based on a call. You could change this easily to be of the signature:

def filterfunc(some_data: object) -> bool:

So that you can determine whether to take or leave based on the value (or even the index), but it currently takes no arguments and just functions as a less magic itertools.cycle (since it should return its value on call, not on iteration)

Answer 3

from itertools import islice
def grouper(iterable, n, min_chunk=1):
    it = iter(iterable)
    while True:
       chunk = list(islice(it, n))
       if len(chunk) < min_chunk:
           return
       yield chunk

def pick_skip_seq(seq, pick, skip, skip_first=False):
    if skip_first:
        ret = [ x[skip:] for x in grouper(seq, pick+skip, skip+1) ]
    else:
        ret = [ x[:pick] for x in grouper(seq, pick+skip) ]
    return ret

pick_skip_seq(range(1,33), 3, 2) gives required list.

In pick_skip_seq(seq, pick, skip, skip_first=False) , seq is sequence to pick/skip from, pick / skip are no. of elements to pick/skip, skip_first is to be set True if such behavior is desired.

grouper returns chunks of n elements, it ignores last group if it has less than min_chunk elements. It is derived from stuff given in https://stackoverflow.com/a/8991553/1921546 .

Demo:

# pick 3 skip 2 
for i in range(30,35):
    print(pick_skip_seq(range(1,i), 3, 2))

# skip 3 pick 2 
for i in range(30,35):
    print(pick_skip_seq(range(1,i), 3, 2, True))

An alternative implementation of pick_skip_seq :

from itertools import chain,cycle,repeat,compress
def pick_skip_seq(seq, pick, skip, skip_first=False):
    if skip_first:
        c = cycle(chain(repeat(0, skip), repeat(1, pick)))
    else:
        c = cycle(chain(repeat(1, pick), repeat(0, skip)))
    return list(grouper(compress(seq, c), pick))

All things used are documented here: https://docs.python.org/3/library/itertools.html#itertools.compress