I wrote this class for testing:
class PassByReference: def __init__(self): self.variable = 'Original' self.change(self.variable) print(self.variable) def change(self, var): var = 'Changed'
When I try to create an instance, the output is original
. So parameters in python seem to be passed by value. Is that right? How to modify the code to achieve the effect of reference passing so that the output is changed
?
Sometimes people are surprised that code like x = 1
(where x
is the parameter name) does not affect the caller's parameters, but code like Code like x[0] = 1
will affect the caller's parameters. This happens because despite the =
syntax, item assignment and slice assignment are methods of mutating existing objects, while Not reassigning variables. See Why can a function modify some parameters as perceived by the caller, but not others? Learn more.
See also What is the difference between pass by reference and pass by value? For important, language-independent terminology discussions.
Correct answer
The parameters are passed by assignment. There are two reasons behind this:
- The parameter passed in is actually a reference to the object (but the reference is passed by value)
- Some data types are mutable, but others are not
so:
If you pass a mutable object to a method, the method will get a reference to the same object and you can change it however you want, but if you are in the outer scope of the method Knowing nothing about it, when you're done, the external reference will still be pointing to the original object.
If you pass an immutable object to a method, you still cannot rebind the external reference or even change the object.
To illustrate this more clearly, let's give some examples.
List - mutable type
Let’s try modifying the list passed to the method:
def try_to_change_list_contents(the_list): print('got', the_list) the_list.append('four') print('changed to', the_list) outer_list = ['one', 'two', 'three'] print('before, outer_list =', outer_list) try_to_change_list_contents(outer_list) print('after, outer_list =', outer_list)
Output:
before, outer_list = ['one', 'two', 'three'] got ['one', 'two', 'three'] changed to ['one', 'two', 'three', 'four'] after, outer_list = ['one', 'two', 'three', 'four']
Since the parameter passed in is a reference to outer_list
and not a copy of it, we can use the mutate list method to change it and have the changes reflected in the outer scope.
Now let's see what happens when we try to change the reference passed in as a parameter:
def try_to_change_list_reference(the_list): print('got', the_list) the_list = ['and', 'we', 'can', 'not', 'lie'] print('set to', the_list) outer_list = ['we', 'like', 'proper', 'english'] print('before, outer_list =', outer_list) try_to_change_list_reference(outer_list) print('after, outer_list =', outer_list)
Output:
before, outer_list = ['we', 'like', 'proper', 'english'] got ['we', 'like', 'proper', 'english'] set to ['and', 'we', 'can', 'not', 'lie'] after, outer_list = ['we', 'like', 'proper', 'english']
Since the_list
parameter is passed by value, assigning it a new list will not have any impact on code outside the method. the_list
is a copy of the outer_list
reference, we have the_list
pointing to a new list, but there is no way to change where outer_list
points to.
String - immutable type
It is immutable, so we cannot change the content of the string
Now, let’s try to change the reference
def try_to_change_string_reference(the_string): print('got', the_string) the_string = 'in a kingdom by the sea' print('set to', the_string) outer_string = 'it was many and many a year ago' print('before, outer_string =', outer_string) try_to_change_string_reference(outer_string) print('after, outer_string =', outer_string)
Output:
before, outer_string = it was many and many a year ago got it was many and many a year ago set to in a kingdom by the sea after, outer_string = it was many and many a year ago
Likewise, since the_string
parameter is passed by value, assigning it a new string will not have any visible effect on code outside the method. the_string
is a copy of the outer_string
reference, we have the_string
pointing to a new string, but there is no way to change the location outer_string
points to.
I hope this makes things clearer.
Edit: Someone pointed out that this doesn't answer the original question posed by @david: "Is there anything I can do to pass the variable by actual reference?". Let's work hard.
How do we solve this problem?
As @andrea's answer shows, you can return new values. This doesn't change how the content is passed in, but it allows you to get the information you want:
def return_a_whole_new_string(the_string): new_string = something_to_do_with_the_old_string(the_string) return new_string # then you could call it like my_string = return_a_whole_new_string(my_string)
If you really want to avoid using the return value, you can create a class to hold your value and pass it to the function or use an existing class, such as a list:
def use_a_wrapper_to_simulate_pass_by_reference(stuff_to_change): new_string = something_to_do_with_the_old_string(stuff_to_change[0]) stuff_to_change[0] = new_string # then you could call it like wrapper = [my_string] use_a_wrapper_to_simulate_pass_by_reference(wrapper) do_something_with(wrapper[0])
Although this seems a bit troublesome.
The above is the detailed content of How to pass variable by reference?. For more information, please follow other related articles on the PHP Chinese website!

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

Dreamweaver Mac version
Visual web development tools

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software