Identify groups of continuous numbers in a list

Solution 1:

EDIT 2: To answer the OP new requirement

ranges = []
for key, group in groupby(enumerate(data), lambda (index, item): index - item):
    group = map(itemgetter(1), group)
    if len(group) > 1:
        ranges.append(xrange(group[0], group[-1]))
    else:
        ranges.append(group[0])

Output:

[xrange(2, 5), xrange(12, 17), 20]

You can replace xrange with range or any other custom class.

Python docs have a very neat recipe for this:

from operator import itemgetter
from itertools import groupby
data = [2, 3, 4, 5, 12, 13, 14, 15, 16, 17]
for k, g in groupby(enumerate(data), lambda (i,x):i-x):
    print map(itemgetter(1), g)

Output:

[2, 3, 4, 5]
[12, 13, 14, 15, 16, 17]

If you want to get the exact same output, you can do this:

ranges = []
for k, g in groupby(enumerate(data), lambda (i,x):i-x):
    group = map(itemgetter(1), g)
    ranges.append((group[0], group[-1]))

output:

[(2, 5), (12, 17)]

EDIT: The example is already explained in the documentation but maybe I should explain it more:

The key to the solution is differencing with a range so that consecutive numbers all appear in same group.

If the data was: [2, 3, 4, 5, 12, 13, 14, 15, 16, 17] Then groupby(enumerate(data), lambda (i,x):i-x) is equivalent of the following:

groupby(
    [(0, 2), (1, 3), (2, 4), (3, 5), (4, 12),
    (5, 13), (6, 14), (7, 15), (8, 16), (9, 17)],
    lambda (i,x):i-x
)

The lambda function subtracts the element index from the element value. So when you apply the lambda on each item. You'll get the following keys for groupby:

[-2, -2, -2, -2, -8, -8, -8, -8, -8, -8]

groupby groups elements by equal key value, so the first 4 elements will be grouped together and so forth.

I hope this makes it more readable.

python 3 version may be helpful for beginners

import the libraries required first

from itertools import groupby
from operator import itemgetter

ranges =[]

for k,g in groupby(enumerate(data),lambda x:x[0]-x[1]):
    group = (map(itemgetter(1),g))
    group = list(map(int,group))
    ranges.append((group[0],group[-1]))

Solution 2:

more_itertools.consecutive_groups was added in version 4.0.

Demo

import more_itertools as mit


iterable = [2, 3, 4, 5, 12, 13, 14, 15, 16, 17, 20]
[list(group) for group in mit.consecutive_groups(iterable)]
# [[2, 3, 4, 5], [12, 13, 14, 15, 16, 17], [20]]

Code

Applying this tool, we make a generator function that finds ranges of consecutive numbers.

def find_ranges(iterable):
    """Yield range of consecutive numbers."""
    for group in mit.consecutive_groups(iterable):
        group = list(group)
        if len(group) == 1:
            yield group[0]
        else:
            yield group[0], group[-1]


iterable = [2, 3, 4, 5, 12, 13, 14, 15, 16, 17, 20]
list(find_ranges(iterable))
# [(2, 5), (12, 17), 20]

The source implementation emulates a classic recipe (as demonstrated by @Nadia Alramli).

Note: more_itertools is a third-party package installable via pip install more_itertools.

Solution 3:

The "naive" solution which I find somewhat readable atleast.

x = [2, 3, 4, 5, 12, 13, 14, 15, 16, 17, 22, 25, 26, 28, 51, 52, 57]

def group(L):
    first = last = L[0]
    for n in L[1:]:
        if n - 1 == last: # Part of the group, bump the end
            last = n
        else: # Not part of the group, yield current group and start a new
            yield first, last
            first = last = n
    yield first, last # Yield the last group


>>>print list(group(x))
[(2, 5), (12, 17), (22, 22), (25, 26), (28, 28), (51, 52), (57, 57)]

Solution 4:

Assuming your list is sorted:

>>> from itertools import groupby
>>> def ranges(lst):
    pos = (j - i for i, j in enumerate(lst))
    t = 0
    for i, els in groupby(pos):
        l = len(list(els))
        el = lst[t]
        t += l
        yield range(el, el+l)


>>> lst = [2, 3, 4, 5, 12, 13, 14, 15, 16, 17]
>>> list(ranges(lst))
[range(2, 6), range(12, 18)]