Error in calling a module from a subfolder that calls another module within the same folder

What will you learn?

Discover how to effectively resolve errors when importing modules across folders and nested modules within the same directory in Python.

Introduction to the Problem and Solution

When working on Python projects organized into multiple folders, importing modules correctly can pose challenges. The complexity escalates when a module from a subfolder needs to access another module within the same directory. By adjusting import statements and making use of relative imports, we can overcome this hurdle seamlessly.

To tackle this issue efficiently, it is crucial to comprehend how Python manages imports of modules situated in different directories while upholding clarity in our code structure. Proper utilization of relative imports ensures that our modules remain accessible regardless of their position within the project’s folder hierarchy.


# Importing a module from a subfolder that calls another module within the same folder

# To import a module 'module_to_import' located in 'subfolder'
from subfolder import module_to_import

# To call another module 'another_module' within the same folder as 'module_to_import'
from . import another_module  # Using relative import syntax

# Usage example: 
result = another_module.some_function()  # Call function from 'another_module'

# Copyright PHD


  1. Importing Modules: The import statement is essential for accessing functionalities defined in other files.
  2. Relative Imports: Prefixing an import statement with . indicates importing from the current package.
  3. Project Structure: Organizing your project’s structure facilitates smooth navigation during imports.
  4. Namespace Consideration: Maintain awareness of namespaces while simultaneously importing multiple modules.
    How do I fix ModuleNotFoundError when importing across directories?

    To resolve ModuleNotFoundError, ensure consistent package structure and utilize appropriate relative or absolute import paths as necessary.

    Can I use “from .module_name” syntax for all imports?

    While “from .module_name” syntax is useful, it should be used judiciously; prefer absolute imports for clarity whenever feasible.

    What if my file is missing?

    If your project lacks an file, create one to explicitly define packages and signify directories as packages.

    Why am I getting ImportError despite correcting my import path?

    Check for circular dependencies or naming conflicts between imported modules that may lead to runtime errors during execution.

    Should I modify sys.path directly to resolve import issues?

    Avoid programmatically altering sys.path unless absolutely necessary; rely on correct PYTHONPATH configurations instead.

    Are tools available for managing complex project structures and imports automatically?

    Yes, consider using virtual environments like Pipenv or build systems such as Poetry to streamline dependency management and project structuring tasks efficiently.

    Can pip assist in resolving import issues related to missing dependencies?

    Pip aids in installing required third-party libraries but does not directly address internal import problems within your project’s codebase.

    Is it advisable to frequently use wildcard (*) imports for simplifying coding efforts?

    Refrain from frequent use of wildcard (*) imports due to potential namespace pollution and ambiguity risks associated with unclear origin of functions/classes being utilized.


    Effectively resolving errors related to importing modules across various directories necessitates maintaining proper package structures and employing correct import statements following Pythonic conventions. By grasping how namespacing operates alongside utilizing relative or absolute paths appropriately, developers can seamlessly integrate functionalities spread throughout their projects without encountering common pitfalls linked with incorrect imports.

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