In python, anonymous function is a function that is defined without a name. A lambda function can take any number of arguments, but can only have one expression. It can be used wherever function objects are required.
For Example: The def keyword is used to define a normal function in Python. Similarly, the lambda keyword is used to define an anonymous function in Python.
lambda arguments: expression
a = lambda a : a ** 4 print(a(3))
In the example,
lambda a : a ** 4 is the lambda function. Here a is the argument and a ** 4 is the expression that gets evaluated and returned.
This function has no name. It returns a function object which is assigned to a. We can now call it as a normal function.
Use of Lambda Function in Python
Lambda functions is used when we require a nameless function for a short period of time.
1. Using lambda() Function with filter():
filter() function in Python takes in a function and a list as arguments. This function is used to filter out all the elements of a sequence for which the function returns True.
list_1 = [1,2,3,4,5,6,7,8,9,0] list_2 = list(filter(lambda a : (a % 2 != 0), list_1)) print(list_2)
Output: [1, 3, 5, 7, 9]
2. Using lambda() Function with map():
It takes in a function and a list as arguments. This function is used to called with a lambda function and a list and a new list is returned which contains all the lambda modified items returned by that function for each item.
list_1 = [1,2,3,4,5,6,7,8,9,0] list_2 = list(map(lambda a : (a ** 2), list_1)) print(list_2)
Output: [1, 4, 9, 16, 25, 36, 49, 64, 81, 0]