


Preface
Python relative import and absolute import, these two concepts are relative to the import in the package. In-package import means that modules within the package import modules within the package.
Search path for Python import
Search for the module in the current directory
Search in sequence in the path list specified in the environment variable PYTHONPATH
Search in the lib library of the Python installation path
Python import steps
Python All loaded module information is stored in the sys.modules structure. When importing a module, It will be carried out as follows
If it is import A, check whether there is already A in sys.modules. If there is, it will not be loaded. If not, create a module object for A and load A
If it is from A import B, first create a module object for A, then parse A, find B from it and fill it into A's __dict__
Relative import and absolute import
The format of absolute import is import A.B or from A import B, the relative import format is from . import B or from ..A import B, . represents the current module, .. represents the upper module, ... represents the upper module, in order analogy.
Relative import can avoid maintenance problems caused by hard coding. For example, if we change the name of a top-level package, then all imports of its sub-packages will no longer be available. However, modules with relative import statements cannot be run directly, otherwise there will be an exception:
ValueError: Attempted relative import in non-package
What is the reason for this? We need to first understand some rules when importing modules:
When the package structure is not explicitly specified, Python determines the structure of a module in the package based on __name__. If it is __main__, then it itself It is a top-level module with no package structure. If it is an A.B.C structure, then the top-level module is A. Basically follow this principle:
If it is an absolute import, a module can only import its own submodules or modules and their submodules at the same level as its top-level module
If it is a relative import Import, a module must have a package structure and can only import modules inside its top-level module
If a module is run directly, it itself is the top-level module and there is no hierarchy, so it cannot be found Relative path to other.
Python2.x defaults to relative path import, and Python3.x defaults to absolute path import. Absolute import can avoid importing subpackages from overwriting standard library modules (conflicts due to the same name). If you want to use absolute import by default in Python2. Treated as an absolute import, which means disabling implicit relative import (implicit relative import), but not disabling explicit relative import (display relative import).
So what is an implicit relative import and what is an explicit relative import? Let's look at an example, assuming the following package structure:
from __future__ import absolute_importThen if you reference bench in the tool, there are several ways:
thing ├── books │ ├── adventure.py │ ├── history.py │ ├── horror.py │ ├── __init__.py │ └── lovestory.py ├── furniture │ ├── armchair.py │ ├── bench.py │ ├── __init__.py │ ├── screen.py │ └── stool.py └── __init__.pyImplicit relative means that the interpreter is not told about the relative To whom, but the default is relative to the current module; and explicit relative clearly tells the interpreter relative to whom to import. The third import method above is officially recommended. The first method is strongly not recommended by the official. It has been abandoned in Python3. This method can only be used to import modules in path. Relative and absolute are only for imports within the package
Finally, it is emphasized again that relative imports and absolute imports are only for imports within the package, otherwise the content discussed in this article It just doesn't make sense. The so-called package is the directory containing the __init__.py file. This file will be executed first when the package is imported. The file can be empty, or any legal Python code can be added to it.
Relative import can avoid hard coding and is friendly to package maintenance. Absolute import can avoid naming conflicts with the standard library. In fact, it is not recommended that custom modules have the same commands as the standard library.
import bench # 此为 implicit relative import from . import bench # 此为 explicit relative import from furniture import bench # 此为 absolute importThis is the same as when absolutely imported. s reason. To run modules in a package that contain absolute and relative imports, you can tell the interpreter the module hierarchy with python -m A.B.C . Someone may ask: If there are two modules a.py and b.py placed in the same directory, why can you import a in b.py? This is because the directory where these two files are located is not a package, so each python file is an independent module that can be directly imported by other modules, just like you import the standard library, they do not There are issues with relative imports and absolute imports. Relative imports and absolute imports are only used inside packages. SummaryThe above is the entire content of this article. I hope the content of this article can be helpful to everyone in learning or using python. If you have any questions, you can leave a message to communicate. For more detailed explanations of relative imports and absolute imports in Python, please pay attention to the PHP Chinese website!

This article explains how to use Beautiful Soup, a Python library, to parse HTML. It details common methods like find(), find_all(), select(), and get_text() for data extraction, handling of diverse HTML structures and errors, and alternatives (Sel

Python's statistics module provides powerful data statistical analysis capabilities to help us quickly understand the overall characteristics of data, such as biostatistics and business analysis. Instead of looking at data points one by one, just look at statistics such as mean or variance to discover trends and features in the original data that may be ignored, and compare large datasets more easily and effectively. This tutorial will explain how to calculate the mean and measure the degree of dispersion of the dataset. Unless otherwise stated, all functions in this module support the calculation of the mean() function instead of simply summing the average. Floating point numbers can also be used. import random import statistics from fracti

Serialization and deserialization of Python objects are key aspects of any non-trivial program. If you save something to a Python file, you do object serialization and deserialization if you read the configuration file, or if you respond to an HTTP request. In a sense, serialization and deserialization are the most boring things in the world. Who cares about all these formats and protocols? You want to persist or stream some Python objects and retrieve them in full at a later time. This is a great way to see the world on a conceptual level. However, on a practical level, the serialization scheme, format or protocol you choose may determine the speed, security, freedom of maintenance status, and other aspects of the program

This article compares TensorFlow and PyTorch for deep learning. It details the steps involved: data preparation, model building, training, evaluation, and deployment. Key differences between the frameworks, particularly regarding computational grap

The article discusses popular Python libraries like NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Django, Flask, and Requests, detailing their uses in scientific computing, data analysis, visualization, machine learning, web development, and H

This article guides Python developers on building command-line interfaces (CLIs). It details using libraries like typer, click, and argparse, emphasizing input/output handling, and promoting user-friendly design patterns for improved CLI usability.

This tutorial builds upon the previous introduction to Beautiful Soup, focusing on DOM manipulation beyond simple tree navigation. We'll explore efficient search methods and techniques for modifying HTML structure. One common DOM search method is ex

The article discusses the role of virtual environments in Python, focusing on managing project dependencies and avoiding conflicts. It details their creation, activation, and benefits in improving project management and reducing dependency issues.


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

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

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

SublimeText3 Linux new version
SublimeText3 Linux latest version

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

WebStorm Mac version
Useful JavaScript development tools

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft
