Python 101 (part 4): Feeding The Snake - Unbreakable (
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As you can see, tuples share
many of their properties and methods with lists. However, they differ in one
very important area: lists are mutable, while tuples are immutable (like
strings). It is not possible to alter tuple elements once a tuple has been
created; the only way to accomplish this is to create a new tuple containing the
new elements.
>>> listSample = ["red", "green", "blue"]
>>> listSample[2] = "pink"
>>> listSample
['red', 'green', 'pink']
>>> tupleSample = ("red", "green", "blue")
>>> tupleSample[2] = "pink"
Traceback (innermost last):
File "", line 1, in ?
TypeError: object doesn't support item assignment
>>>
A new tuple can be created either by adding two or more
existing tuples,
>>> CreepyCrawlies
('spiders', 'ants', 'lizards')
>>> pasta
('macaroni', 'spaghetti', 'lasagne', 'fettucine')
>>> strangeFood = CreepyCrawlies + pasta
>>> strangeFood
('spiders', 'ants', 'lizards', 'macaroni', 'spaghetti', 'lasagne',
'fettucine')
>>>
or by extracting slices from existing tuples and joining them
into a new structure.
>>> veryStrangeFood = CreepyCrawlies[1], pasta[3], pasta[5]
>>> print veryStrangeFood
('ants', 'fettucine', 'rigatoni')
>>>
Or, if you want to be really fancy, you could use the list()
and tuple() functions to convert a tuple into a list,
>>> pasta
('macaroni', 'spaghetti', 'lasagne', 'fettucine', 'tagliatelle', 'rigatoni')
>>> type(pasta)
>>> # convert to list
>>> pastaList = list(pasta)
>>> type(pastaList)
>>> print (pastaList)
['macaroni', 'spaghetti', 'lasagne', 'fettucine', 'tagliatelle', 'rigatoni']
>>> pastaList[5]=""
>>> print (pastaList)
['macaroni', 'spaghetti', 'lasagne', 'fettucine', 'tagliatelle', '']
>>>
and vice-versa.
>>> lights = ["red", "green", "blue"]
>>> type(lights)
>>> # convert to tuple
>>> lightsTuple = tuple(lights)
>>> type(lightsTuple)
>>> print lightsTuple
('red', 'green', 'blue')
>>>
Finally, you can iterate through a tuple in much the same way
as a list - with the "for" loop.
>>> pasta
('macaroni', 'spaghetti', 'lasagne', 'fettucine', 'tagliatelle', 'rigatoni')
>>> for x in pasta:
... print "I like", x
...
I like macaroni
I like spaghetti
I like lasagne
I like fettucine
I like tagliatelle
I like rigatoni
>>>
At this point, you're probably wondering why you need tuples
when you already have lists to contend with. It's pretty simple: the built-in
immutability of tuples provides an automatic defense against program code that
attempts to change tuple elements, thereby ensuring the integrity of the data
contained within this structure. As we progress through this tutorial, you'll
see examples of where this might come in useful.{mospagebreak title=Keys To The
Kingdom} One of the significant features of lists and tuples is that the values
stored within them can only be accessed via a numerical index. The implication
of this is obvious: if you need to access an element of the list or tuple, you
need to first know its exact location in the structure. Since this can get
complicated with large lists, Python offers you a simpler way to access list
values, using a data structure known as a dictionary.
Dictionaries are
similar to lists and tuples, in that they allow you to group related elements
together. However, where lists and tuples use an index to identify and locate
specific elements or groups of elements, dictionaries use keywords ("keys") to
accomplish the same task. In fact, Python dictionaries are the equivalent of
Perl hashes or PHP associative arrays.
Let's take a look at a simple
example to demonstrate this:
>>> characters = {"new hope":"Luke", "teacher":"Yoda", "bad guy":"Darth"}
>>>
Dictionaries are typically enclosed within curly braces, and
each element within a dictionary consists of a "key" and a "value" associated
with that key, separated from each other by a colon (:). Since every value in
the dictionary is associated with a specific key, you can reference a specific
value via its key.
>>> characters["bad guy"]
'Darth'
>>> characters["new hope"]
'Luke'
>>>
Defining a dictionary is not very difficult - simply assign
key-value pairs (enclosed in curly braces) to a variable, as illustrated
below:
>>> characters = {"new hope":"Luke", "teacher":"Yoda", "bad guy":"Darth"}
>>>
You can also assign elements one at a time to an empty
dictionary,
>>> opposites = {}
>>> opposites
{}
>>> opposites["white"] = "black"
>>> opposites["yes"] = "no"
>>> opposites["day"] = "night"
>>> opposites
{'day': 'night', 'white': 'black', 'yes': 'no'}
>>>
or add new elements to an existing one.
>>> characters = {"new hope":"Luke", "teacher":"Yoda", "bad guy":"Darth"}
>>> characters["princess"] = "Leia"
>>> characters["worse guy"] = "The Emperor"
>>> characters
{'princess': 'Leia', 'teacher': 'Yoda', 'new hope': 'Luke', 'bad guy':
'Darth',
'worse guy': 'The Emperor'}
>>>
As you can see, the elements in a dictionary are not placed
in a specific sequence, as with lists and tuples; new elements are assigned to
random places within the dictionary space.
It should be noted that keys
and values in a dictionary need not be restricted to strings alone - numbers and
tuples serve equally well as keys (which must be immutable),
>>> mishmash = {"jack":"jill", 70:"sixty-nine plus one", (2,2):4,
(1,2,3):(3,2,1)}
>>> mishmash["jack"]
'jill'
>>> mishmash[70]
'sixty-nine plus one'
>>> mishmash[(2,2)]
4
>>> type(mishmash[(2,2)])
>>> mishmash[(1,2,3)]
(3, 2, 1)
>>> type(mishmash[(1,2,3)])
>>>
while values could include strings, numbers, and even other
dictionaries, lists or tuples (isn't it cool how Python allows you to nest one
data structure within another?)
>>> moremush = {
... "Friends":["Rachel", "Ross", "Joey", "Phoebe", "Monica", "Chandler"],
... "icecream":{"strawberry":"pink", "chocolate":"brown", "vanilla":"white"}
... }
>>> # first value is list, second is nested dictionary
>>> moremush
{'icecream': {'chocolate': 'brown', 'vanilla': 'white', 'strawberry':
'pink'}, 'Friends': ['Rachel', 'Ross', 'Joey', 'Phoebe', 'Monica',
'Chandler']}
>>>
>>> moremush["icecream"]
{'chocolate': 'brown', 'vanilla': 'white', 'strawberry': 'pink'}
>>> type(moremush["icecream"])
>>> moremush["icecream"]["strawberry"]
'pink'
>>> type(moremush["icecream"]["strawberry"])
>>> type(moremush["Friends"])
>>> moremush["Friends"][0]
'Rachel'
>>>