Contenido del Curso
Intermediate Python: Arguments, Scopes and Decorators
2. Arguments in Function
3. Function as an Argument
Intermediate Python: Arguments, Scopes and Decorators
Built-in Functions
Here are two more examples demonstrating the use of lambda functions with the filter()
and sorted()
functions in Python.
Alternatively, you can pass a more complex custom function instead of a lambda to these high-order functions.
filter()
The filter()
function is used to create an iterator from elements of an iterable for which a function returns true. Here's an example using filter() with a lambda function to filter out odd numbers from a list:
In this example, the lambda function lambda x: x % 2 == 0
checks if a number is even. The filter()
function applies this lambda to each element in the list of numbers and returns an iterator of even numbers.
sorted()
The sorted()
function returns a new sorted list from the elements of any iterable.
iterable
is the sequence to sort (list, dict, tuple, etc);key
is a function to execute to decide the order;reverse
is a boolean. False is an ascending order, and True is descending. The default is False.
Here's an example using sorted()
with a lambda function to sort a list of tuples based on the second element in each tuple:
In this example, the lambda function lambda x: x[1]
returns the second element of each tuple. The sorted()
function then sorts the list tuples based on these second elements, resulting in a list sorted alphabetically by the fruit names.
Tarea
Let's consider a list of dictionaries representing books, and you want to filter out books that have a certain number of pages.
- Define the list of books.
books
is a list of dictionaries. Each dictionary represents a book with two keys: "title" and "pages". - Creating the custom function
has_many_pages
that acceptsbook
andmin_pages
arguments. - Use
filter()
with the custom function. - Converte the filter object to a list, store it to the
filtered_books_list
variable, and print it.
¿Todo estuvo claro?
Contenido del Curso
Intermediate Python: Arguments, Scopes and Decorators
2. Arguments in Function
3. Function as an Argument
Intermediate Python: Arguments, Scopes and Decorators
Built-in Functions
Here are two more examples demonstrating the use of lambda functions with the filter()
and sorted()
functions in Python.
Alternatively, you can pass a more complex custom function instead of a lambda to these high-order functions.
filter()
The filter()
function is used to create an iterator from elements of an iterable for which a function returns true. Here's an example using filter() with a lambda function to filter out odd numbers from a list:
In this example, the lambda function lambda x: x % 2 == 0
checks if a number is even. The filter()
function applies this lambda to each element in the list of numbers and returns an iterator of even numbers.
sorted()
The sorted()
function returns a new sorted list from the elements of any iterable.
iterable
is the sequence to sort (list, dict, tuple, etc);key
is a function to execute to decide the order;reverse
is a boolean. False is an ascending order, and True is descending. The default is False.
Here's an example using sorted()
with a lambda function to sort a list of tuples based on the second element in each tuple:
In this example, the lambda function lambda x: x[1]
returns the second element of each tuple. The sorted()
function then sorts the list tuples based on these second elements, resulting in a list sorted alphabetically by the fruit names.
Tarea
Let's consider a list of dictionaries representing books, and you want to filter out books that have a certain number of pages.
- Define the list of books.
books
is a list of dictionaries. Each dictionary represents a book with two keys: "title" and "pages". - Creating the custom function
has_many_pages
that acceptsbook
andmin_pages
arguments. - Use
filter()
with the custom function. - Converte the filter object to a list, store it to the
filtered_books_list
variable, and print it.
¿Todo estuvo claro?