Reputation: 437
So I have a list that looks a bit like this:
my_list = [0,1,1,1,0,0,1,0,1,0,1,1,0,0,0,1,0,1,1,0,1 ... 0,1,0]
it contains thousands of 0's and 1's basically. Im looking for a way to find similar (repeating) combinations of elements in it (10 next elements to be specific). So (for example) if there is a :
... 0,1,1,1,0,0,1,1,0,1 ...
combination and it appears more than once I would like to know where it is in my list (index) and how many times it repeats.
I need to check all possible combinations here, that is 1024 possibilities...
Upvotes: 0
Views: 289
Reputation: 2849
Treat the elements as bits that can be converted to integers. The solution below converts the input list to integers, find number of occurrence of each integer and what index they can be found on.
import collections
x = [0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1]
as_int = []
# given the input above there is no pattern longer than 6 that occure more than once...
pattern_length = 6
# convert input to a list of integers
# can this be done in a nicer way, like skipping the string-conversion?
for s in range(len(x) - pattern_length+1) :
bitstring = ''.join([str(b) for b in x[s:s+pattern_length]])
as_int.append(int(bitstring,2))
# create a dict with integer as key and occurence as value
count_dict = collections.Counter(as_int)
# empty dict to store index for each integer
index_dict = {}
# find index for each integer that occur more than once
for key in dict(count_dict):
if count_dict[key] > 1:
indexes = [i for i, x in enumerate(as_int) if x == key]
index_dict[key] = indexes
#print as binary together with its index
for key, value in index_dict.items():
print('{0:06b}'.format(key), 'appears', count_dict[key], 'times, on index:', value)
Output:
101011 appears 2 times, on index: [6, 18]
010110 appears 2 times, on index: [7, 14]
Upvotes: 1
Reputation: 5459
It looks like a homework problem, so I don't want to give the solution at once, just hints.
Don't look at it literally. It's 0s and 1s, so you can look at them like at binary numbers.
Some hints:
Think how you would do that then.
More hints, more technical:
%512
), "move" them left (*2
) and add the 10th digit.I'll edit this answer later to provide an example solution but I gotta take a short break first.
Edit:
Customisable base and length with defaults for your case.
def find_patterns(my_list, base=2, pattern_size=10):
modulo_value = base ** (pattern_size-1)
results = [[] for _ in range(base ** pattern_size)]
current_value = 0
for index, elem in enumerate(a):
if index < pattern_size:
current_value = base*current_value + elem
elif index == pattern_size:
results[current_value].append(0)
if index >= pattern_size:
current_value = base*(current_value % modulo_value) + elem
results[current_value].append(index+1-pattern_size) #index of the first element in the pattern
return results
Upvotes: 2
Reputation: 61900
IIUC, you could do:
my_list = [0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0]
w = 10
occurrences = {}
for i in range(len(my_list) - w + 1):
key = tuple(my_list[i:i+w])
occurrences.setdefault(key, []).append(i)
for pattern, indices in occurrences.items():
print(pattern, indices)
Output
(0, 1, 1, 1, 0, 0, 1, 0, 1, 0) [0]
(1, 1, 1, 0, 0, 1, 0, 1, 0, 1) [1]
(1, 1, 0, 0, 1, 0, 1, 0, 1, 1) [2]
(1, 0, 0, 1, 0, 1, 0, 1, 1, 0) [3]
(0, 0, 1, 0, 1, 0, 1, 1, 0, 0) [4]
(0, 1, 0, 1, 0, 1, 1, 0, 0, 0) [5]
(1, 0, 1, 0, 1, 1, 0, 0, 0, 1) [6]
(0, 1, 0, 1, 1, 0, 0, 0, 1, 0) [7]
(1, 0, 1, 1, 0, 0, 0, 1, 0, 1) [8]
(0, 1, 1, 0, 0, 0, 1, 0, 1, 1) [9]
(1, 1, 0, 0, 0, 1, 0, 1, 1, 0) [10]
(1, 0, 0, 0, 1, 0, 1, 1, 0, 1) [11]
(0, 0, 0, 1, 0, 1, 1, 0, 1, 0) [12]
(0, 0, 1, 0, 1, 1, 0, 1, 0, 1) [13]
(0, 1, 0, 1, 1, 0, 1, 0, 1, 0) [14]
Upvotes: 1
Reputation: 7510
Here is a solution using regex:
import random
from itertools import product
import re
testlist = [str(random.randint(0,1)) for i in range(1000)]
testlist_str = "".join(testlist)
for i in ["".join(seq) for seq in product("01", repeat=10)]:
print(f'pattern {i} has {len(re.findall(i, testlist_str))} matches')
outputs:
pattern 0000000000 has 0 matches
pattern 0000000001 has 0 matches
pattern 0000000010 has 1 matches
pattern 0000000011 has 2 matches
pattern 0000000100 has 2 matches
pattern 0000000101 has 2 matches
....
Upvotes: 2