Comprehensions in Python to sample tuples from a list - python

I am trying to get the list of three-element tuples from the list [-4, -2, 1, 2, 5, 0] using comprehensions, and checking whether they fulfil the condition sum([] == 0). The following code works. However, there is no question that there ought to be an easier, much more elegant way of expressing these comprehensions:
[
(i, j, k) for i in [-4, -2, 1, 2, 5, 0]
for j in [-4, -2, 1, 2, 5, 0]
for k in [-4, -2, 1, 2, 5, 0] if sum([i, j, k]) == 0
]
Output:
[(-4, 2, 2), (-2, 1, 1), (-2, 2, 0), (-2, 0, 2), (1, -2, 1),
(1, 1, -2), (2, -4, 2), (2, -2, 0), (2, 2, -4), (2, 0, -2),
(0, -2, 2), (0, 2, -2), (0, 0, 0)]
The question is searching for an expression like (i, j, k) for i, j, k in [-4, -2, 1, 2, 5, 0].

You can use itertools.product to hide the nested loops in your list comprehension. Use the repeat parameter to set the number of loops over the list (i.e. the number of elements in the tuple):
>>> import itertools
>>> lst = [-4, -2, 1, 2, 5, 0]
>>> [x for x in itertools.product(lst, repeat=3) if sum(x) == 0]
[(-4, 2, 2),
(-2, 1, 1),
(-2, 2, 0),
(-2, 0, 2),
(1, -2, 1),
(1, 1, -2),
(2, -4, 2),
(2, -2, 0),
(2, 2, -4),
(2, 0, -2),
(0, -2, 2),
(0, 2, -2),
(0, 0, 0)]

Related

how to make pythonic Nested List

I'd like to make nested list
given_list = [[0, 1, 2], [0, 1, 2], [0, 1, 2]] # each element : range(0, n), num of element : m
new_list = [[0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], ..., [2, 2, 2]] # total num : n^m
How do I make it?
I tried to overlap the for statement m times, but I don't think it's pythonic.
Looks like you are trying to compute the product of the lists in given_list:
> from itertools import product
> list(product(*given_list))
[(0, 0, 0), (0, 0, 1), (0, 0, 2), (0, 1, 0), (0, 1, 1), (0, 1, 2), (0, 2, 0), (0, 2, 1), (0, 2, 2), (1, 0, 0), (1, 0, 1), (1, 0, 2), (1, 1, 0), (1, 1, 1), (1, 1, 2), (1, 2, 0), (1, 2, 1), (1, 2, 2), (2, 0, 0), (2, 0, 1), (2, 0, 2), (2, 1, 0), (2, 1, 1), (2, 1, 2), (2, 2, 0), (2, 2, 1), (2, 2, 2)]
If you really need a list of lists, rather than a list of tuples, you'll have to call list on each element.
[list(t) for t in product(*given_list)]

How do I pop item off a list of tuples, based on the value of the first number in each tuple?

I am trying to create a list of tuples that consists of all the variations of a set of numbers. However I want to remove any variants from the list that are the same sequence but offset by a position or two. For example:
(-1,1,2), (1,2,-1) & (2,-1,1) I would only want the first one.
Here's where I'm up to:
import itertools as it
list = [-1, 0, 1, 2]
cycles = []
list_cycle_3 = it.permutations(cycles, 3)
list_cycle_4 = it.permutations(cycles, 4)
for item in list_cycle_3:
cycles.append(item)
for item in list_cycle_4:
cycles.append(item)
print(cycles)
This results in:
[(-1, 0, 1), (-1, 0, 2), (-1, 1, 0), (-1, 1, 2), (-1, 2, 0), (-1, 2, 1),
(0, -1, 1), (0, -1, 2), (0, 1, -1), (0, 1, 2), (0, 2, -1), (0, 2, 1),
(1, -1, 0), (1, -1, 2), (1, 0, -1), (1, 0, 2), (1, 2, -1), (1, 2, 0),
(2, -1, 0), (2, -1, 1), (2, 0, -1), (2, 0, 1), (2, 1, -1), (2, 1, 0),
(-1, 0, 1, 2), (-1, 0, 2, 1), (-1, 1, 0, 2), (-1, 1, 2, 0), (-1, 2, 0, 1), (-1, 2, 1, 0), (0, -1, 1, 2), (0, -1, 2, 1), (0, 1, -1, 2), (0, 1, 2, -1),
(0, 2, -1, 1), (0, 2, 1, -1), (1, -1, 0, 2), (1, -1, 2, 0), (1, 0, -1, 2),
(1, 0, 2, -1), (1, 2, -1, 0), (1, 2, 0, -1), (2, -1, 0, 1), (2, -1, 1, 0),
(2, 0, -1, 1), (2, 0, 1, -1), (2, 1, -1, 0), (2, 1, 0, -1)]
So what do I do next to filter the results so I only have the results I want, which are:
[(-1, 0, 1), (-1, 0, 2), (-1, 1, 0), (-1, 1, 2), (-1, 2, 0), (-1, 2, 1),
(0, 1, 2), (0, 2, 1), (-1, 0, 1, 2), (-1, 0, 2, 1), (-1, 1, 0, 2),
(-1, 1, 2, 0), (-1, 2, 0, 1), (-1, 2, 1, 0)]
If it helps a simple difference between the lists are that the list I want is all the tuples starting with -1, and the tuples where there is no -1 starting with 0
Start with a list that does not contain the number that you want to filter against:
For example, you'll only need the ones that starts with 0. Then your list is
l = [-1, 1, 2]
Find all the two element permutatations and filter them as you like.
Ant then add 0 as the first element by mapping your result set.
Example:
In [2]: from itertools import permutations
In [3]: l = [-1, 1, 2]
In [4]: p = permutations(l, 2)
In [5]: [(0, *t) for t in p]
Out[5]: [(0, -1, 1), (0, -1, 2), (0, 1, -1), (0, 1, 2), (0, 2, -1), (0, 2, 1)]
You could do a similar trick for, say, the ones that does not have -1 in them and start with 0 which is omit -1 and 0 from your list and then add 0 as the first element into your result sets items.
And do not override reserved keywords in your code:
list = [...] # do not do that
l=[(-1, 0, 1), (-1, 0, 2), (-1, 1, 0), (-1, 1, 2), (-1, 2, 0), (-1, 2, 1),
(0, -1, 1), (0, -1, 2), (0, 1, -1), (0, 1, 2), (0, 2, -1), (0, 2, 1),
(1, -1, 0), (1, -1, 2), (1, 0, -1), (1, 0, 2), (1, 2, -1), (1, 2, 0),
(2, -1, 0), (2, -1, 1), (2, 0, -1), (2, 0, 1), (2, 1, -1), (2, 1, 0),
(-1, 0, 1, 2), (-1, 0, 2, 1), (-1, 1, 0, 2), (-1, 1, 2, 0), (-1, 2, 0, 1), (-1, 2, 1, 0), (0, -1, 1, 2), (0, -1, 2, 1), (0, 1, -1, 2), (0, 1, 2, -1),
(0, 2, -1, 1), (0, 2, 1, -1), (1, -1, 0, 2), (1, -1, 2, 0), (1, 0, -1, 2),
(1, 0, 2, -1), (1, 2, -1, 0), (1, 2, 0, -1), (2, -1, 0, 1), (2, -1, 1, 0),
(2, 0, -1, 1), (2, 0, 1, -1), (2, 1, -1, 0), (2, 1, 0, -1)]
l2=[]
for i in l:
if i[0] == -1 :
l2.append(i)
print(l2)
this code works
output
[(-1, 0, 1), (-1, 0, 2), (-1, 1, 0), (-1, 1, 2), (-1, 2, 0), (-1, 2, 1), (-1, 0, 1, 2), (-1, 0, 2, 1), (-1, 1, 0, 2), (-1, 1, 2, 0), (-1, 2, 0, 1), (-1, 2, 1, 0)]

How to generate all distinct combinations (where input elements are repeated) in Python(using Itertools)?

I have a set of numbers [1, 2, 4, 1]. Now, I want to generate all possible combinations from this set of size k (example k = 3). All the generated output sets must not be duplicate
Example : [1, 2, 1] and [2, 1, 1] are the same sets but they should not be selected. Only one of them should appear. Is it possible using combinations from itertools in Python?
import itertools
x = [1, 2, 1]
print([p for p in itertools.product(x, repeat=3)])
I have tried using itertools.product but it doesnt work and
using combinations from itertools is getting duplicates
I have tried using itertools.combinations
print([p for p in set(itertools.combinations(x, r=3))])
If I give the following input
x = [-1, 0, 1, 2, -1, -4]
The ouput generated for r = 3 is
[(0, -1, -4), (-1, -1, -4), (-1, 1, -4), (0, 2, -1), (-1, 0, 2), (-1, 2, -4), (0, 1, 2), (2, -1, -4), (-1, 0, -1), (0, 1, -4), (1, 2, -4), (-1, 0, 1), (-1, 1, 2), (0, 2, -4), (-1, 1, -1), (-1, 2, -1), (1, 2, -1), (0, 1, -1), (-1, 0, -4), (1, -1, -4)]
(-1, 0, 1) and (0, 1, -1) are duplicate sets with same combinations. I am not sure how to overcome this.
These are called multisets, and we can easily obtain the combinations of these with the sympy module.
from sympy.utilities.iterables import multiset_combinations
list(multiset_combinations([1, 2, 4, 1], 3))
[[1, 1, 2], [1, 1, 4], [1, 2, 4]]
And here is the example by #EdedkiOkoh:
x = [-1, 0, 1, 2, -1, -4]
list(multiset_combinations(x, 3))
[[-4, -1, -1],
[-4, -1, 0],
[-4, -1, 1],
[-4, -1, 2],
[-4, 0, 1],
[-4, 0, 2],
[-4, 1, 2],
[-1, -1, 0],
[-1, -1, 1],
[-1, -1, 2],
[-1, 0, 1],
[-1, 0, 2],
[-1, 1, 2],
[0, 1, 2]]
You can use python's set datatype to remove those duplicates since sets will only contain the unique combinations:
import itertools as it
x = [-1, 0, 1, 2, -1, -4]
permutations = [p for p in set(it.combinations(x, r=3))]
print(permutations)
Output:
[(0, 1, 2),
(-1, 1, -1),
(-1, 2, -1),
(0, -1, -4),
(-1, -1, -4),
(-1, 1, -4),
(-1, 2, -4),
(2, -1, -4),
(1, 2, -4),
(-1, 0, 1),
(1, 2, -1),
(-1, 0, -4),
(-1, 0, 2),
(-1, 0, -1),
(-1, 1, 2),
(0, 2, -4),
(0, 2, -1),
(0, 1, -4),
(1, -1, -4),
(0, 1, -1)]
Then use can use the following line:
unique_permutations = set(tuple(sorted(t)) for t in permutations)
Output:
{(-4, -1, -1),
(-4, -1, 0),
(-4, -1, 1),
(-4, -1, 2),
(-4, 0, 1),
(-4, 0, 2),
(-4, 1, 2),
(-1, -1, 0),
(-1, -1, 1),
(-1, -1, 2),
(-1, 0, 1),
(-1, 0, 2),
(-1, 1, 2),
(0, 1, 2)}
What about getting the combinations and then taking only the unique ones by keying a dictionary with the frozenset result of the combinations. This will only use generators until creating the dictionary.
combs1, combs2 = itertools.tee(itertools.combinations(x, r=3))
res = list(dict(zip(map(frozenset, combs1), combs2)).values())

List comprehension version of "extend" [duplicate]

This question already has answers here:
How to use list comprehension with .extend list method? [duplicate]
(2 answers)
How can I use a list comprehension to extend a list in python? [duplicate]
(6 answers)
Python: How to extend or append multiple elements in list comprehension format?
(2 answers)
Closed 4 years ago.
Is there a 1-liner equivalent (using list comprehension) for the following:
a = []
for i in range(6):
a.extend(((-i,i,0,2),(-i-1,i,0,6)))
a = tuple(a)
I was thinking something like
tuple(((-i,i,0,2),(-i-1,i,0,6)) for i in range(6))
but this gives:
(((0, 0, 0, 2), (-1, 0, 0, 6)),
((-1, 1, 0, 2), (-2, 1, 0, 6)),
((-2, 2, 0, 2), (-3, 2, 0, 6)),
((-3, 3, 0, 2), (-4, 3, 0, 6)),
((-4, 4, 0, 2), (-5, 4, 0, 6)),
((-5, 5, 0, 2), (-6, 5, 0, 6)))
which is not what I want.
Desired output
((0, 0, 0, 2),
(-1, 0, 0, 6),
(-1, 1, 0, 2),
(-2, 1, 0, 6),
(-2, 2, 0, 2),
(-3, 2, 0, 6),
(-3, 3, 0, 2),
(-4, 3, 0, 6),
(-4, 4, 0, 2),
(-5, 4, 0, 6),
(-5, 5, 0, 2),
(-6, 5, 0, 6))
You can use a nested list comprehension.
>>> [t for i in range(6) for t in ((-i,i,0,2), (-i-1,i,0,6))]
>>>
[(0, 0, 0, 2),
(-1, 0, 0, 6),
(-1, 1, 0, 2),
(-2, 1, 0, 6),
(-2, 2, 0, 2),
(-3, 2, 0, 6),
(-3, 3, 0, 2),
(-4, 3, 0, 6),
(-4, 4, 0, 2),
(-5, 4, 0, 6),
(-5, 5, 0, 2),
(-6, 5, 0, 6)]
It reads like this
[what I want (t) | for loops as if writing non-listcomp code]
and is thus equivalent to
result = []
for i in range(6):
for t in ((-i,i,0,2), (-i-1,i,0,6)):
result.append(t)

List every permutations of iterable [duplicate]

This question already has answers here:
Python itertools permutations how to include repeating characters [duplicate]
(2 answers)
How to get the cartesian product of multiple lists
(17 answers)
Closed 5 years ago.
from itertools import permutations
l = [0, 1, 2, 3, 4]
x = permutations (l, 3)
I get the following :
(0, 1, 2) , (0, 1, 3), ...., (0, 2, 1), (0, 2, 3), (0,2,4),...., (4, 3, 0), (4, 3, 1),
(4, 3, 2)
Which is what was expected.
But what i need is :
(0, 0, 0), (0, 0, 1), ...., (0, 0, 4), (0, 1, 0), (0, 1, 1)........
How to achieve this ?
What you need is a permutation with replacement, or a product, but itertool's permutations produces permutations without replacement. You can calculate the product yourself:
[(x,y,z) for x in l for y in l for z in l]
#[(0, 0, 0), (0, 0, 1), (0, 0, 2), (0, 0, 3), (0, 0, 4), (0, 1, 0), ...
Or use the namesake function from itertools:
list(itertools.product(l,repeat=3))
# [(0, 0, 0), (0, 0, 1), (0, 0, 2), (0, 0, 3), (0, 0, 4), (0, 1, 0),...
The latter approach is more efficient.
You need to use product , not using permutations, from itertools module like this example:
from itertools import product
l = [0, 1, 2, 3, 4]
# Or:
# b = list(product(l, repeat=3))
b = list(product(l,l,l))
print(b)
Output:
[(0, 0, 0), (0, 0, 1), (0, 0, 2), (0, 0, 3), ..., (4, 4, 1), (4, 4, 2), (4, 4, 3), (4, 4, 4)]
You need product and not permutation
from itertools import product
l = [0, 1, 2, 3, 4]
b = list(product(l, repeat=3))

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