After looking into the Python filter function and the Python map function, let’s take a look at how the reduce works.
The reduce function can be used to do calculations on a set of objects. For instance, we can count all prices from a dictionary or get an average number.
Reduce() function in Python
Let’s look at how the reduce syntax looks.
from functools import reduce
result = reduce(myFunction, input)
This is not much different than we saw with filter and map. The big difference is that we have to import the reduce function.
The real difference lies in the myFunction we are going to make.
This function takes two arguments instead of one, where it receives a new value and the initial value.
from functools import reduce
input = [12, 5, 23, 1]
def myFunction(a, b):
return a + b
result = reduce(myFunction, input)
print(result)
# 41
With this function we loop over each input number and plus it. However Python does not simply do 12 + 5 + 23 + 1 it uses the modifier like this:
(((12 + 5) + 23) + 1) = 41
You can see what’s happening? It first finishes the item and the previous and keeps doing this for each item.
Again we can use the Python lambda function to make this even easier.
from functools import reduce
input = [12, 5, 23, 1]
result = reduce(lambda a, b: a + b, input)
print(result)
# 41
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