


Why Does 'TypeError: method() takes 1 positional argument but 2 were given' Occur Even with One Explicit Argument?
"TypeError: method() takes 1 positional argument but 2 were given" with Only One Argument Passed
When encountering the error "TypeError: method() takes 1 positional argument but 2 were given" despite passing only one argument, it's important to understand Python's method calling convention.
In Python, method calls are syntactic sugar for a more verbose syntax. When calling a method on an object, the language translates the call into a more explicit form, where the object becomes the first argument to the method.
For example, the following call:
1 |
|
is translated behind the scenes into:
1 |
|
Here, the first argument (my_object) is called the self parameter within the method definition. This parameter represents the object on which the method is being called.
In most cases, methods require access to the object they're called on. But occasionally, you may want a method that doesn't depend on the object it's bound to. In such cases, you can use Python's staticmethod() function to decorate the method:
1 2 3 4 5 |
|
Decorating a method with staticmethod() eliminates the need for a self parameter, allowing you to call the method directly without referencing the object:
1 |
|
This clarifies why the error you encountered states that two arguments were provided. Python is interpreting the object on which you're calling the method (e.g., my_object in the original example) as an implicit first argument, resulting in a total of two arguments being passed.
The above is the detailed content of Why Does 'TypeError: method() takes 1 positional argument but 2 were given' Occur Even with One Explicit Argument?. For more information, please follow other related articles on the PHP Chinese website!

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

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

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.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.
