Python closure usually makes code simpified and are used in functional programming style. It starts
with a keyword
lambda and the last statement is the result returned. You can also create functions
inside another function. A
lambda is a anonymous function.
- Basic grammar
- Auto capture variables
You can create a closure with the keyword
import operator from functools import reduce a = [1, 2, 3] # Increase each element in a and get a new list b = list(map(lambda _: _ + 1, a)) # Get all even numbers c = list(filter(lambda _: _%2==0, b)) d = reduce(operator.add, c, 0)
Auto capture variables
A lambda function can automatically capture variables in its environment.
def a(): b = 3 return lambda: b c = a() print(c())
But you need to be aware that there are boundaries where you can see a new variable.
- Module: module level variables
- Class: variables defined in a class
- Function: variables defined in a function
If you are not familiar with those boundaries, you will make mistakes that you need to refer an existing variable instead of creating a new variable.
def func(): a = 3 def b(): a = 4 b() print(a)
a is a new variable in function
b, not the same variable in
Pitfall for capturing
a = [1, 2, 3] fns =  for v in a: fns.append(lambda: v) for fn in fns: print(fn())
We are expecting three different number printed on the screen. But actually 3 is repeated three times. We are capturing the same variable. To fix the problem, we can add an argument to the anonymous function and pass the argument. Python will evaluate the argument first.
You cannot use
You cannot write
lambda function. But you can use
from pprint import pprint a = [1,2,3] list(map(lambda _:pprint(_), a))
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