| An Introduction to Python by Guido van Rossum and Fred L. Drake, Jr. Paperback (6"x9"), 124 pages ISBN 0954161769 RRP £12.95 ($19.95) Sales of this book support the Python Software Foundation! Get a printed copy>>> |
9.9 Iterators
By now you have probably noticed that most container objects can be looped
over using a for statement:
for element in [1, 2, 3]:
print element
for element in (1, 2, 3):
print element
for key in {'one':1, 'two':2}:
print key
for char in "123":
print char
for line in open("myfile.txt"):
print line
This style of access is clear, concise, and convenient. The use of iterators
pervades and unifies Python. Behind the scenes, the for
statement calls iter() on the container object. The
function returns an iterator object that defines the method
next() which accesses elements in the container one at a
time. When there are no more elements, next() raises a
StopIteration exception which tells the for loop
to terminate. This example shows how it all works:
>>> s = 'abc'
>>> it = iter(s)
>>> it
<iterator object at 0x00A1DB50>
>>> it.next()
'a'
>>> it.next()
'b'
>>> it.next()
'c'
>>> it.next()
Traceback (most recent call last):
File "<stdin>", line 1, in ?
it.next()
StopIteration
Having seen the mechanics behind the iterator protocol, it is easy to add
iterator behavior to your classes. Define a __iter__() method
which returns an object with a next() method. If the class defines
next(), then __iter__() can just return self:
class Reverse:
"Iterator for looping over a sequence backwards"
def __init__(self, data):
self.data = data
self.index = len(data)
def __iter__(self):
return self
def next(self):
if self.index == 0:
raise StopIteration
self.index = self.index - 1
return self.data[self.index]
>>> for char in Reverse('spam'):
... print char
...
m
a
p
s
| ISBN 0954161769 | An Introduction to Python | See the print edition |