Python max() Function
Returns the largest item
Usage
The max()
function can find
- the largest of two or more values (such as numbers, strings etc.)
- the largest item in an iterable (such as list, tuple etc.)
With optional key parameter, you can specify custom comparison criteria to find maximum value.
Syntax
max(val1,val2,val3… ,key)
Parameter | Condition | Description |
val1,val2,val3… | Required | Two or more values to compare |
key | Optional | A function to specify the comparison criteria. Default value is None. |
– OR –
max(iterable,key,default)
Parameter | Condition | Description |
iterable | Required | Any iterable, with one or more items to compare |
key | Optional | A function to specify the comparison criteria. Default value is None. |
default | Optional | A value to return if the iterable is empty. Default value is False. |
Find Maximum of Two or More Values
If you specify two or more values, the largest value is returned.
x = max(10, 20, 30)
print(x)
# Prints 30
If the values are strings, the string with the highest value in alphabetical order is returned.
x = max('red', 'green', 'blue')
print(x)
# Prints red
You have to specify minimum two values to compare. Otherwise, TypeError exception is raised.
Find Maximum in an Iterable
If you specify an Iterable (such as list, tuple, set etc.), the largest item in that iterable is returned.
L = [300, 500, 100, 400, 200]
x = max(L)
print(x)
# Prints 500
If the iterable is empty, a ValueError is raised.
L = []
x = max(L)
print(x)
# Triggers ValueError: max() arg is an empty sequence
To avoid such exception, add default parameter. The default parameter specifies a value to return if the provided iterable is empty.
# Specify default value '0'
L = []
x = max(L, default='0')
print(x)
# Prints 0
Find Maximum with Built-in Function
With optional key parameter, you can specify custom comparison criteria to find maximum value. A key parameter specifies a function to be executed on each iterable’s item before making comparisons.
For example, with a list of strings, specifying key=len
(the built-in len() function) finds longest string.
L = ['red', 'green', 'blue', 'black', 'orange']
x = max(L, key=len)
print(x)
# Prints orange
Find Maximum with Custom Function
You can also pass in your own custom function as the key function.
# Find out who is the oldest student
def myFunc(e):
return e[1] # return age
L = [('Sam', 35),
('Tom', 25),
('Bob', 30)]
x = max(L, key=myFunc)
print(x)
# Prints ('Sam', 35)
A key function takes a single argument and returns a key to use for comparison.
Find Maximum with lambda
A key function may also be created with the lambda expression. It allows us to in-line function definition.
# Find out who is the oldest student
L = [('Sam', 35),
('Tom', 25),
('Bob', 30)]
x = max(L, key=lambda student: student[1])
print(x)
# Prints ('Sam', 35)
Find Maximum of Custom Objects
Let’s create a list of students (custom object) and find out who is the oldest student.
# Custom class
class Student:
def __init__(self, name, age):
self.name = name
self.age = age
def __repr__(self):
return repr((self.name, self.age))
# a list of custom objects
L = [Student('Sam', 35),
Student('Tom', 25),
Student('Bob', 30)]
x = max(L, key=lambda student: student.age)
print(x)
# Prints ('Sam', 35)
Python Example for Beginners
Two Machine Learning Fields
There are two sides to machine learning:
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- Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.
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