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Python Lambda

Lambda Functions

A lambda function is a small anonymous function.

A lambda function can take any number of arguments, but can only have one expression.

Syntax

lambda
arguments
 expression

The expression is executed and the result is returned:

a

Lambda functions can take any number of arguments:

a
a

Why Use Lambda Functions?

The power of lambda is better shown when you use them as an anonymous function inside another function.

Say you have a function definition that takes one argument, and that argument will be multiplied with an unknown number:

def myfunc(n):
 return lambda a : a * n

Use that function definition to make a function that always doubles the number you send in:

Example

def myfunc(n):

  return lambda a : a * n

mydoubler = myfunc(2)

print(mydoubler(11))

Or, use the same function definition to make a function that always triples the number you send in:

Example

def myfunc(n):

  return lambda a : a * n

mytripler = myfunc(3)

print(mytripler(11))

Or, use the same function definition to make both functions, in the same program:

Example

def myfunc(n):

  return lambda a : a * n

mydoubler = myfunc(2)
mytripler = myfunc(3)

print(mydoubler(11))
print(mytripler(11))

Use lambda functions when an anonymous function is required for a short period of time.

Lambda with Built-in Functions

Lambda functions are commonly used with built-in functions like map() , filter() , and sorted() .

Using Lambda with map()

The map() function applies a function to every item in an iterable:

Example

numbers = [1, 2, 3, 4, 5]

doubled = list(map(lambda x: x * 2, numbers))

print(doubled)

Using Lambda with filter()

The filter() function creates a list of items for which a function returns True :

Example

numbers = [1, 2, 3, 4, 5, 6, 7, 8]

odd_numbers = list(filter(lambda x: x % 2 != 0, numbers))

print(odd_numbers)

Using Lambda with sorted()

The sorted() function can use a lambda as a key for custom sorting:

Example

students = [("Emil", 25), ("Tobias", 22), ("Linus", 28)]

sorted_students = sorted(students, key=lambda x: x[1])

print(sorted_students)

Example

words = ["apple", "pie", "banana", "cherry"]

sorted_words = sorted(words, key=lambda x: len(x))

print(sorted_words)

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1. Python Tutorial2. Python Introduction3. Python Getting Started4. Python Syntax5. Python Statements6. Python Output / Print7. Python Output Numbers8. Python Comments9. Python Variables10. Python - Variable Names11. Python Variables - Assign Multiple Values12. Python - Output Variables13. Python - Global Variables14. Python Data Types15. Python Numbers16. Python Casting17. Python Strings18. Python - Slicing Strings19. Python - Modify Strings20. Python - String Concatenation21. Python - Format - Strings22. Python - Escape Characters23. Python - String Methods24. Python Booleans25. Python Operators26. Python Arithmetic Operators27. Python Assignment Operators28. Python Comparison Operators29. Python Logical Operators30. Python Identity Operators31. Python Membership Operators32. Python Bitwise Operators33. Python Operator Precedence34. Python Lists35. Python - Access List Items36. Python - Change List Items37. Python - Add List Items38. Python - Remove List Items39. Python - Loop Lists40. Python - List Comprehension41. Python - Sort Lists42. Python - Copy Lists43. Python - Join Lists44. Python - List Methods45. Python Tuples46. Python - Access Tuple Items47. Python - Update Tuples48. Python - Unpack Tuples49. Python - Loop Tuples50. Python - Join Tuples51. Python - Tuple Methods52. Python Sets53. Python - Access Set Items54. Python - Add Set Items55. Python - Remove Set Items56. Python - Loop Sets57. Python - Join Sets58. Python frozenset59. Python - Set Methods60. Python Dictionaries61. Python - Access Dictionary Items62. Python - Change Dictionary Items63. Python - Add Dictionary Items64. Python - Remove Dictionary Items65. Python - Loop Dictionaries66. Python - Copy Dictionaries67. Python - Nested Dictionaries68. Python Dictionary Methods69. Python If Statement70. Python Elif Statement71. Python Else Statement72. Python Shorthand If73. Python Logical Operators74. Python Nested If75. Python Pass Statement76. Python Match77. Python While Loops78. Python For Loops79. Python Functions80. Python Function Arguments81. Python *args and **kwargs82. Python Scope83. Python Decorators84. Python Lambda85. Python Recursion86. Python Generators87. Python range88. Python Arrays89. Python Iterators90. Python Modules91. Python Datetime92. Python Math93. Python JSON94. Python RegEx95. Python PIP96. Python Try Except97. Python String Formatting98. Python None99. Python User Input100. Python Virtual Environment

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Lambda FunctionsWhy Use Lambda Functions?Lambda with Built-in FunctionsUsing Lambda with map()Using Lambda with filter()Using Lambda with sorted()