I'm new to python, and while reading about slice notation, I came across the following code snippet. I was able to understand and use it in very simple examples, but I wasn't able to grasp its usage in the following example. Any explanation will really help!
>>> a = [1,2]
>>> a[1:1] = [3,4,5]
>>> print a
[1, 3, 4, 5, 2]
>>> a = [1,2]
>>> a[0:1] = [3,4,5]
>>> print a
[3, 4, 5, 2]
2 Answers 2
a[n:m] = b
# is essentially* equivalent to
a = a[:n] + b + a[m:]
and you could read this as "replace a[n:m] with b" (since a = a[:n] + a[n:m] + a[m:]).
*actually slicing mutates the list in-place (that is, id(a) remains unchanged) which will usually be preferable (wheras setting a= creates our new a at a different memory location).
So in your examples:
a = [1,2]
#a[1:1] = [3,4,5]
a = a[:1] + [3,4,5] + a[1:]
# [1] [2]
[1, 3, 4, 5, 2]
a = [1,2]
#a[0:1] = [3,4,5]
a = a[:0] + [3,4,5] + a[1:]
# [] [2]
[3, 4, 5, 2]
1 Comment
a[1:1] is an empty slice at the position between the first and second elements in the list.
So a[1:1] = [3,4,5] means "insert the elements 3,4,5 after the first element of the list".
a[0:1] is the slice from the first element up to (but excluding) the second element in the list.
So a[0:1] = [3,4,5] means "replace the first element of the list with the elements 3,4,5".
Perhaps this visualization helps:
| h | e | l | l | o | <-- string "hello"
0 1 2 3 4 5 <-- slice positions
^---^ <-- slice [0:1]: "h"
^ <-- slice [1:1]: ""