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[](https://www.geeksforgeeks.org/)  - Sign In - [Courses]() - [Tutorials]() - [Interview Prep]() - [Python Tutorial](https://www.geeksforgeeks.org/python/python-programming-language-tutorial/) - [Data Types](https://www.geeksforgeeks.org/python/python-data-types/) - [Interview Questions](https://www.geeksforgeeks.org/python/python-interview-questions/) - [Examples](https://www.geeksforgeeks.org/python/python-programming-examples/) - [Quizzes](https://www.geeksforgeeks.org/python/python-quizzes/) - [DSA Python](https://www.geeksforgeeks.org/dsa/python-data-structures-and-algorithms/) - [Data Science](https://www.geeksforgeeks.org/data-science/data-science-with-python-tutorial/) - [NumPy](https://www.geeksforgeeks.org/python/numpy-tutorial/) - [Pandas](https://www.geeksforgeeks.org/pandas/pandas-tutorial/) - [Practice](https://www.geeksforgeeks.org/dsa/geeksforgeeks-practice-best-online-coding-platform/) # Absolute and Relative Imports in Python Last Updated : 11 Jul, 2025 In this article, we are going to see that **absolute and relative imports in Python**. ### **Working of import in Python** Import in Python is similar to \#include header\_file in C/C++. Python modules can get access to code from another module by importing the file/function using import. The import statement is the most common way of invoking the import machinery, but it is not the only way. Import statement consists of the import keyword along with the name of the module. The import statement involves two operations, it searches for a module and it binds the result of the search to a name in the local scope. When a module is imported, Python runs all of the code in the module file and made available to the importer file. When a module is imported the interpreter first searches it in sys.modules, which is the cache of all modules which have been previously imported. If it is not found then it searches in all built-in modules with that name, if it is found then the interpreter runs all of the code and is made available to the file. If the module is not found then it searches for a file with the same name in the list of directories given by the variable sys.path. sys.path is a variable containing a list of paths that contains python libraries, packages, and a directory containing the input script. For example, a module named math is imported then the interpreter searches it in built-in modules, if it is not found then it searches for a file named math.py in list of directories given by sys.path. Python3 `` ``` # Python program importing ``` ``` # math module ``` ``` ​ ``` ``` import math ``` ``` print(math.pi) ``` **Output:** ``` 3.141592653589793 ``` ### **Syntax of import statements :** Users can import both packages and modules. (Note that importing a package essentially imports the package’s \_\_init\_\_.py file as a module.) Users can also import specific objects from a package or module. There are generally two types of import syntax. When you use the first one, you import the resource directly. ``` import gfg ``` gfg can be a package or a module. When a user uses the second syntax, then the user imports the resource from another package or module. ``` from gfg import geek ``` *geek* can be a module, subpackage, or object, such as a class or function. ### **Styling of import statements** [PEP8](https://peps.python.org/pep-0008/#imports), the official style guide for python, has a set of rules for how to formulate the python code to maximize its readability. For writing import statements there are some points to follow: 1. Imports should always be written at the top of the file, just after any module comments and docstrings. 2. Imports should usually be separated by a blank space. 3. Imports should be grouped in the following order. - Standard library imports (Python’s built-in modules) - Related third party imports. - Local application/library-specific imports It is also good to order import statements alphabetically within each import group. Python3 `` ## Absolute vs Relative Imports in Python ## Absolute imports in Python Absolute import involves a full path i.e., from the project's root folder to the desired module. An absolute import state that the resource is to be imported using its full path from the project’s root folder. ### **Syntax and Practical Examples:** Let’s see we have the following directory structure:  Here a directory named project, under which two subdirectories namely pkg1, pkg2. pkg1 has two modules, module1 and module2. pkg2 contains three modules, module3, module4, \_\_init\_\_.py, and one subpackage name subpkg1 which contains module5.py. Let's assume the following: - pkg1 / module1.py contain a function, fun1 - pkg2 / module3.py contain a function, fun2 - pkg2 / subpkg1 / module5.py contain a function fun3 Python3 `` In this example, we are importing the modules by writing the full path from its root folder. ### **Pros and Cons of Absolute imports :** **Pros:** - Absolute imports are very useful because they are clear and straight to the point. - Absolute import is easy to tell exactly from where the imported resource is, just by looking at the statement. - Absolute import remains valid even if the current location of the import statement changes. **Cons:** If the directory structure is very big then usage of absolute imports is not meaningful. In such a case using relative imports works well. ``` from pkg1.subpkg2.subpkg3.subpkg4.module5 import fun6 ``` ## Relative imports in Python Relative import specifies an object or module imported from its current location, that is the location where import statement resides. There two types of relative imports : - **Implicit relative imports** - Implicit relative import have been disapproved in Python(3.x). - **Explicit relative imports -** Explicit relative import have been approved in Python(3.x). **Syntax and Practical Examples :** The syntax of relative import depends on the current location as well as the location of the module or object to be imported. Relative imports use dot(.) notation to specify a location. A single dot specifies that the module is in the current directory, two dots indicate that the module is in its parent directory of the current location and three dots indicate that it is in the grandparent directory and so on. Let’s see we have the following directory structure:  Let's assume the following: - pkg1 / module1.py contain a function, fun1 - pkg2 / module3.py contain a function, fun2 - pkg2 / subpkg1 / module5.py contain a function fun3 Python3 `` ### **Pros and Cons of Relative imports :** **Pros:** - Working with relative imports is concise and clear. - Based on the current location it reduces the complexity of an import statement. **Cons:** - Relative imports is not so readable as absolute ones. - Using relative imports it is not easy because it is very hard to tell the location of a module. 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In this article, we are going to see that **absolute and relative imports in Python**. ### **Working of import in Python** Import in Python is similar to \#include header\_file in C/C++. Python modules can get access to code from another module by importing the file/function using import. The import statement is the most common way of invoking the import machinery, but it is not the only way. Import statement consists of the import keyword along with the name of the module. The import statement involves two operations, it searches for a module and it binds the result of the search to a name in the local scope. When a module is imported, Python runs all of the code in the module file and made available to the importer file. When a module is imported the interpreter first searches it in sys.modules, which is the cache of all modules which have been previously imported. If it is not found then it searches in all built-in modules with that name, if it is found then the interpreter runs all of the code and is made available to the file. If the module is not found then it searches for a file with the same name in the list of directories given by the variable sys.path. sys.path is a variable containing a list of paths that contains python libraries, packages, and a directory containing the input script. For example, a module named math is imported then the interpreter searches it in built-in modules, if it is not found then it searches for a file named math.py in list of directories given by sys.path. **Output:** ``` 3.141592653589793 ``` ### **Syntax of import statements :** Users can import both packages and modules. (Note that importing a package essentially imports the package’s \_\_init\_\_.py file as a module.) Users can also import specific objects from a package or module. There are generally two types of import syntax. When you use the first one, you import the resource directly. ``` import gfg ``` gfg can be a package or a module. When a user uses the second syntax, then the user imports the resource from another package or module. ``` from gfg import geek ``` *geek* can be a module, subpackage, or object, such as a class or function. ### **Styling of import statements** [PEP8](https://peps.python.org/pep-0008/#imports), the official style guide for python, has a set of rules for how to formulate the python code to maximize its readability. For writing import statements there are some points to follow: 1. Imports should always be written at the top of the file, just after any module comments and docstrings. 2. Imports should usually be separated by a blank space. 3. Imports should be grouped in the following order. - Standard library imports (Python’s built-in modules) - Related third party imports. - Local application/library-specific imports It is also good to order import statements alphabetically within each import group. `` ## Absolute vs Relative Imports in Python ## Absolute imports in Python Absolute import involves a full path i.e., from the project's root folder to the desired module. An absolute import state that the resource is to be imported using its full path from the project’s root folder. ### **Syntax and Practical Examples:** Let’s see we have the following directory structure:  Here a directory named project, under which two subdirectories namely pkg1, pkg2. pkg1 has two modules, module1 and module2. pkg2 contains three modules, module3, module4, \_\_init\_\_.py, and one subpackage name subpkg1 which contains module5.py. Let's assume the following: - pkg1 / module1.py contain a function, fun1 - pkg2 / module3.py contain a function, fun2 - pkg2 / subpkg1 / module5.py contain a function fun3 `` In this example, we are importing the modules by writing the full path from its root folder. ### **Pros and Cons of Absolute imports :** **Pros:** - Absolute imports are very useful because they are clear and straight to the point. - Absolute import is easy to tell exactly from where the imported resource is, just by looking at the statement. - Absolute import remains valid even if the current location of the import statement changes. **Cons:** If the directory structure is very big then usage of absolute imports is not meaningful. In such a case using relative imports works well. ``` from pkg1.subpkg2.subpkg3.subpkg4.module5 import fun6 ``` ## Relative imports in Python Relative import specifies an object or module imported from its current location, that is the location where import statement resides. There two types of relative imports : - **Implicit relative imports** - Implicit relative import have been disapproved in Python(3.x). - **Explicit relative imports -** Explicit relative import have been approved in Python(3.x). **Syntax and Practical Examples :** The syntax of relative import depends on the current location as well as the location of the module or object to be imported. Relative imports use dot(.) notation to specify a location. A single dot specifies that the module is in the current directory, two dots indicate that the module is in its parent directory of the current location and three dots indicate that it is in the grandparent directory and so on. Let’s see we have the following directory structure:  Let's assume the following: - pkg1 / module1.py contain a function, fun1 - pkg2 / module3.py contain a function, fun2 - pkg2 / subpkg1 / module5.py contain a function fun3 `` ### **Pros and Cons of Relative imports :** **Pros:** - Working with relative imports is concise and clear. - Based on the current location it reduces the complexity of an import statement. **Cons:** - Relative imports is not so readable as absolute ones. - Using relative imports it is not easy because it is very hard to tell the location of a module.