Good thing about a list is that items in a list need not all have the same type.
To access values in lists, use the square brackets for slicing along with the index or indices to obtain value available at that index. Following is a simple example:
#!/usr/bin/python
list1 = ['physics', 'chemistry', 1997, 2000];
list2 = [1, 2, 3, 4, 5, 6, 7 ];
print "list1[0]: ", list1[0]
print "list2[1:5]: ", list2[1:5]
When the above code is executed, it produces the following result:
list1[0]: physics
list2[1:5]: [2, 3, 4, 5]
You can update single or multiple elements of lists by giving the slice on the left-hand side of the assignment operator, and you can add to elements in a list with the append() method. Following is a simple example:
#!/usr/bin/python
list = ['physics', 'chemistry', 1997, 2000];
print "Value available at index 2 : "
print list[2]
list[2] = 2001
print "New value available at index 2 : "
print list[2]
Note: append() method is discussed in subsequent section.
When the above code is executed, it produces the following result:
Value available at index 2 :1997
New value available at index 2 :2001
To remove a list element, you can use either the del statement if you know exactly which element(s) you are deleting or the remove() method if you do not know. Following is a simple example:
#!/usr/bin/python
list1 = ['physics', 'chemistry', 1997, 2000]
print list1
del list1[2]
print "After deleting value at index 2 : "
print list1
When the above code is executed, it produces following result:
['physics', 'chemistry', 1997, 2000]
After deleting value at index 2 :
['physics', 'chemistry', 2000]
Note: remove() method is discussed in subsequent section.
Lists respond to the + and * operators much like strings; they mean concatenation and repetition here too, except that the result is a new list, not a string.
In fact, lists respond to all of the general sequence operations we used on strings in the prior chapter.
Python Expression | Results | Description |
---|---|---|
len([1, 2, 3]) | 3 | Length |
[1, 2, 3] + [4, 5, 6] | [1, 2, 3, 4, 5, 6] | Concatenation |
['Hi!'] * 4 | ['Hi!', 'Hi!', 'Hi!', 'Hi!'] | Repetition |
3 in [1, 2, 3] | True | Membership |
for x in [1, 2, 3]: print x, | 1 2 3 | Iteration |
Because lists are sequences, indexing and slicing work the same way for lists as they do for strings.
Assuming following input:
L = ['spam', 'Spam', 'SPAM!']
Python Expression | Results | Description |
---|---|---|
L[2] | 'SPAM!' | Offsets start at zero |
L[-2] | 'Spam' | Negative: count from the right |
L[1:] | ['Spam', 'SPAM!'] | Slicing fetches sections |
Python includes the following list functions:
cmp(list1, list2) #Compares elements of both lists.
len(list) #Gives the total length of the list.
max(list) #Returns item from the list with max value.
min(list) #Returns item from the list with min value.
list(seq) #Converts a tuple into list.
Python includes following list methods
list.append(obj) #Appends object obj to list
list.count(obj) #Returns count of how many times obj
list.extend(seq) #Appends the contents of seq to list
list.index(obj) #Returns the lowest index in list that obj appears
list.insert(index, obj) #Inserts object obj into list at offset index
list.pop(obj=list[-1]) #Removes and returns last object or obj from list
list.remove(obj) #Removes object obj from list
list.reverse() #Reverses objects of list in place
list.sort([func]) #Sorts objects of list, use compare func if given
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