I have two lists: a = [1, 2, 3] and b = [4, 5, 6].
I have used two loops in python to subtract each element of b from each element of a.
import numpy as np
a = [1, 2, 3]
b = [4, 5, 6]
p = -1
result = np.zeros(len(a)*len(a))
for i in range(0,len(a)):
for j in range(0,len(a)):
p = p + 1
result[p] = a[i] - b[j]
My result is correct: result = [-3., -4., -5., -2., -3., -4., -1., -2., -3.].
However, I would like to know if there is more elegant('pythonic') way to do it.
There is no need to use an index. You can iterate over the values.
a = [1, 2, 3]
b = [4, 5, 6]
result = []
for x in a:
for y in b:
result.append(x - y)
The pythonic way would be a list comprehension.
a = [1, 2, 3]
b = [4, 5, 6]
result = [x - y for x in a for y in b]
Please bear in mind that you should use meaningful names for a, b, xand y in real code.
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