Python Language Multidimensional arrays

Lists in lists

A good way to visualize a 2d array is as a list of lists. Something like this:


here the outer list lst has three things in it. each of those things is another list: The first one is: [1,2,3], the second one is: [4,5,6] and the third one is: [7,8,9]. You can access these lists the same way you would access another other element of a list, like this:

print (lst[0])
#output: [1, 2, 3]

print (lst[1])
#output: [4, 5, 6]

print (lst[2])
#output: [7, 8, 9]

You can then access the different elements in each of those lists the same way:

print (lst[0][0])
#output: 1 

print (lst[0][1])
#output: 2 

Here the first number inside the [] brackets means get the list in that position. In the above example we used the number 0 to mean get the list in the 0th position which is [1,2,3]. The second set of [] brackets means get the item in that position from the inner list. In this case we used both 0 and 1 the 0th position in the list we got is the number 1 and in the 1st position it is 2

You can also set values inside these lists the same way:


Now the list is [[10,11,12],[4,5,6],[7,8,9]]. In this example we changed the whole first list to be a completely new list.


Now the list is [[10,11,12],[4,5,15],[7,8,9]]. In this example we changed a single element inside of one of the inner lists. First we went into the list at position 1 and changed the element within it at position 2, which was 6 now it's 15.

Lists in lists in lists in...

This behaviour can be extended. Here is a 3-dimensional array:


As is probably obvious, this gets a bit hard to read. Use backslashes to break up the different dimensions:


By nesting the lists like this, you can extend to arbitrarily high dimensions.

Accessing is similar to 2D arrays:


And editing is also similar:

myarray[1][0][2]=new_n-3_d_list #or a single number if you're dealing with 3D arrays