list methods
Similar to strings, lists also have many utility methods. Yet, if string methods don’t modify the initial string and return a new one, list methods make changes to the initial list itself.
Method | Description | Examples | Results | Alternative |
count(x) | Count the number of occurrences of x | l.count(0) | 3 | - |
clear() | Make the list empty | l.clear() | - | l = []
del l[:]
l *= 0 |
copy() | Copy and return the list | new = l.copy() | - | new = l[:]
new = list(l)
new = copy.copy(l) |
index(x) | Find the first occurrence of x (ValueError if not in the list) | l.index(0) | 5 | - |
insert(pos, x) | Insert x at position pos | l.insert(1, 7) | [1, 7, 1] | l = l[:pos] + [x] + l[pos:] |
remove(x) | Remove x from the list (ValueError if not in the list) | l.remove(7) | [1, 1] | - |
reverse() | Reverse the list | l.reverse() | - | l = l[::-1] |
sort() | Sort the list in increasing order | l.sort() | - | l = sorted(l) |
Again, most of the names are very intuitive. Yet, it’s not mandatory to remember them all. A quick googling will give you the needed results. These examples are for demonstration purposes. To show what is possible with Python lists.
Challenge
Given
n numbers, you are asked to sort them in ascending order and print them in the output.The first line of the input contains a single number
n. The next n lines contain integers each on a separate line.The program should output all the numbers on a single line in increasing order separated by a space.
Input | Output |
5
1
4
3
0
-1 | -1 0 1 3 4 |
Constraints
Time limit: 2 seconds
Memory limit: 512 MB
Output limit: 1 MB