Now I know that it is not safe to modify the list during an iterative looping. However, suppose I have a list of strings, and I want to strip the strings themselves. Does re
Since the loop below only modifies elements already seen, it would be considered acceptable:
a = ['a',' b', 'c ', ' d ']
for i, s in enumerate(a):
a[i] = s.strip()
print(a) # -> ['a', 'b', 'c', 'd']
Which is different from:
a[:] = [s.strip() for s in a]
in that it doesn't require the creation of a temporary list and an assignment of it to replace the original, although it does require more indexing operations.
Caution: Although you can modify entries this way, you can't change the number of items in the list
without risking the chance of encountering problems.
Here's an example of what I mean—deleting an entry messes-up the indexing from that point on:
b = ['a', ' b', 'c ', ' d ']
for i, s in enumerate(b):
if s.strip() != b[i]: # leading or trailing whitespace?
del b[i]
print(b) # -> ['a', 'c '] # WRONG!
(The result is wrong because it didn't delete all the items it should have.)
Update
Since this is a fairly popular answer, here's how to effectively delete entries "in-place" (even though that's not exactly the question):
b = ['a',' b', 'c ', ' d ']
b[:] = [entry for entry in b if entry.strip() == entry]
print(b) # -> ['a'] # CORRECT
It's considered poor form. Use a list comprehension instead, with slice assignment if you need to retain existing references to the list.
a = [1, 3, 5]
b = a
a[:] = [x + 2 for x in a]
print(b)
The answer given by Jemshit Iskenderov and Ignacio Vazquez-Abrams is really good. It can be further illustrated with this example: imagine that
a) A list with two vectors is given to you;
b) you would like to traverse the list and reverse the order of each one of the arrays
Let's say you have
v = np.array([1, 2,3,4])
b = np.array([3,4,6])
for i in [v, b]:
i = i[::-1] # this command does not reverse the string
print([v,b])
You will get
[array([1, 2, 3, 4]), array([3, 4, 6])]
On the other hand, if you do
v = np.array([1, 2,3,4])
b = np.array([3,4,6])
for i in [v, b]:
i[:] = i[::-1] # this command reverses the string
print([v,b])
The result is
[array([4, 3, 2, 1]), array([6, 4, 3])]