Warning: this is going to look *a lot* better if you view it in a
fixed-width font so things line up properly.
Both functions apply a function to a list of values, but they do so in
different ways.
filter() applies a function to each element of a list in turn, returning
a new list containing only those elements from the original list for
which the function returned True (when given the element as the function
argument). In effect, it filters a list, like a physical filter would
allow some particles to pass and catch others. Only those elements
meeting a certain criteria pass through the filter.
def is_odd(i):
return i%2 != 0
a = [1, 2, 3, 4]
b = filter(is_odd, a)
b now contains [1, 3]
The same thing could be done using lambda instead of defining a named
function, of course:
a = [1, 2, 3, 4]
b = filter(lambda i: i%2!=0, a)
The reduce() function does something quite different. It reduces a list
of values to a single result by repeatedly applying the result of the
transformation to the next one, adding a new element each time. This
way you get a cumulative effect. The most obvious example of such a
function (to me, anyway) is a factorial function.
n! = 1*2*3*4*...*n
So you could implement the factorial function in Python using iteration,
like this:
def factorial(n):
result = 0
for i in range(1,n+1):
result *= i
return result
But we could also do this with reduce(), given a list of integers to
multiply:
def product(x, y):
return x * y
a = [1, 2, 3, 4, 5, 6]
b = reduce(product, a)
b is now 720.
What this will do is to start with the first two elements of a, and pass
them to the product() function, then pass the result of that operation
along with the next element to the product() function again, and so on
until it has reduced the list to a single result:
a =[1, 2, 3, 4, 5, 6]
product(1, 2) | | | | - 2
product(2, 3) | | | - 6
product(6, 4) | | - 24
product(24, 5) | - 120
product(120, 6) - 720
or in other words, this computes (1*2)*3)*4)*5)*6) = 720
So our factorial function could have been implemented like this using
reduce:
def factorial(n):
return reduce(lambda x,y: x*y, range(1,n+1))
HTH
HAND
steve
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