I am trying to follow the used structure in this question for nested lists but I'm confused and don't know how to figure it out. Suppose that to subtract the two lists a = ['5', '35.1', 'FFD']
and b = ['8.5', '11.3', 'AMM']
, the following code is used for reaching to equation c = b - a:
diffs = []
for i, j in zip(a, b):
try:
diffs.append(str(float(j) - float(i)))
except ValueError:
diffs.append('-'.join([j, i]))
>>> print(diffs)
['3.5', '-23.8', 'AMM-FFD']
My question is, how do I get C = B - A by considering the following structure:
A = [['X1','X2'],['52.3','119.4'],['45.1','111']]
B = [['Y1','Y2'],['66.9','65'],['99','115.5']]
C = [['Y1-X1','Y2-X2'],['14.6','-54.4'],['53.9','4.5']]
and how do I the first and second elements of each internal list, something like:
Array 1 = ['Y1-X1', '14.6', '53.9'] Array 2 = ['Y2-X2', '-54.4', '4.5']
I appreciate any kind of help.
Well, if it's guaranteed that the lists will always be 2 levels nested, you can simply add one more loop:
diffs_lists = []
for i, j in zip(a, b):
diffs = []
for k, l in zip(i, j):
try:
diffs.append(str(float(k) - float(l)))
except ValueError:
diffs.append('-'.join([k, l]))
diffs_lists.append(diffs)
To separate the result in two as you asked, simply use zip:
zip(*diffs_lists)
You just need another level of looping:
res = []
for a, b in zip(A, B):
diffs = []
res.append(diffs)
for i, j in zip(a, b):
try:
diffs.append(str(float(j) - float(i)))
except ValueError:
diffs.append('-'.join([j, i]))
print(res)
#[['Y1-X1', 'Y2-X2'], ['14.600000000000009', '-54.400000000000006'], ['53.9', '4.5']]
print(list(zip(*res)))
#[('Y1-X1', '14.600000000000009', '53.9'), ('Y2-X2', '-54.400000000000006', '4.5')]
diffs=[]
for sub_b, sub_a in zip(b, a):
curr = []
for atom_b, atom_a in zip(sub_b, sub_a):
try:
curr.append(float(atom_b) - float(atom_a))
except ValueError:
curr.append('-'.join([atom_b, atom_a]))
diffs.append(curr)
ans1, ans2 = zip(*diffs)
The zip
function can also be used to unzip iterables.
Suppose you have a list_diffs
function, that is basically the code you provided:
list_diffs(a, b):
diffs = []
for i, j in zip(a, b):
try:
diffs.append(str(float(j) - float(i)))
except ValueError:
diffs.append('-'.join([j, i]))
return diffs
Then, the C
you want is just a list whose elements are diffs between elements of A
and elements of B
. So the following gives you C
:
C = []
for i in range(len(A)):
C.append(list_diffs(A[i], B[i]))
To get the lists of the first and of the second elements:
array1 = [c[0] for c in C]
array2 = [c[1] for c in C]
In case you need this to work with arbitrary amount of nesting you could use recursion:
def subtract(x, y):
diffs = []
for a, b in zip(x, y):
try:
if isinstance(a, list):
diffs.append(subtract(a, b))
else:
diffs.append(str(float(b) - float(a)))
except ValueError:
diffs.append('-'.join([b, a]))
return diffs
As others have pointed out zip
can be used for unzipping:
res = subtract(A, B)
t1, t2 = zip(*res)
print(t1)
print(t2)
Output:
('Y1-X1', '14.6', '53.9')
('Y2-X2', '-54.4', '4.5')
i try it with a recursive method
A = [['X1','X2'],['52.3','119.4'],['45.1','111']]
B = [['Y1','Y2'],['66.9','65'],['99','115.5']]
C = [['Y1-X1','Y2-X2'],['14.6','-54.4'],['53.9','4.5']]
Array_a,Array_b = [[] for __ in range(2)]
def diff(B,A):
_a = 0
for b,a in zip(B,A):
if isinstance(b,list):
diff(b,a)
else:
try:
Array_b.append(float(b)-float(a)) if _a else Array_a.append(float(b)-float(a))
_a = True
except (ValueError,TypeError) as e:
Array_b.append("{0}-{1}".format(b,a)) if _a else Array_a.append("{0}-{1}".format(b,a))
_a = True
return (Array_a,Array_b)
print (diff(B,A))
>>>(['Y1-X1', 14.600000000000009, 53.9], ['Y2-X2', -54.400000000000006, 4.5])
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