I have 2 lists A and B.
In the B list I can have multiple elements from list A.
For example:
A = [1,3,5,7, 9, 12, 14]
B = [1,2,3,3,7,9,7,3,14,14,1,3,2,5,5]
I want to create:
My approach is two loops:
l1 = []
l2 = []
for i in A:
for j in B:
if i == j
l1.append[i]
...
l1 = set(l1)
I don't know if this is a good approach, plus remains the 2) point(what is not in b).
And I can't use else on i!=j
, because of repetitions and no order in B.
#to create a list with ids that are in A and found in B (unique)
resultlist=list(set(A)&set(B))
print(list(set(A)&set(B)))
#to create a list of ids that are in A and have no corresponding in B (unique)
print(list(set(A)-set(B)))
#the numbers in B, that don't have a corespondent in A
print(list(set(B)-set(A)))
Convert the list to set
and then perform set operations
>>> set_A = set(A)
>>> set_B = set(B)
>>> list(set_A & set_B)
[1, 3, 5, 7, 9, 14] # set intersection
>>> list(set_A - set_B) # set difference
[12]
>>> list(set_B - set_A)
[2]
With python you can simply use the set type:
list(set(A) & set(B))
will return a list containing the element intersection between lists A
and B
.
list(set(A) - set(B))
Will return a list containing all the elements that are in A
and not in B
.
Vice versa:
list(set(B) - set(A))
Will return a list containing all the elements that are in B
and not in A
.
Use set operations :
A = [1, 3, 5, 7, 9, 12, 14]
B = [1, 2, 3, 3, 7, 9, 7, 3, 14, 14, 1, 3, 2, 5, 5]
sa = set(A)
sb = set(B)
# intersection
l1 = list(sa & sb)
# [1, 2, 3, 5, 7, 9, 12, 14]
# differences
l2 = list(sa - sb)
# [12]
l3 = list(sb - sa)
# [2]
you could use the 'a in L' functionality, which will return True if an element is in a List. eg
A = [1,3,5,7, 9, 12, 14]
B = [1,2,3,3,7,9,7,3,14,14,1,3,2,5,5]
common = []
uncommon = []
for a in A:
if a in B:
common.append(a)
else:
uncommon.append(a)
print(common)
print(uncommon)
this should give you a good hint on how to approach the other question. best
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