Pylance Import Resolution in VS Code
VS Code's Pylance language server sometimes fails to resolve Python imports even when packages are correctly installed. This guide covers common causes and solutions for import resolution issues.
Common Causes
Import resolution problems typically stem from:
- Incorrect Python interpreter selection
- Cached analysis data in Pylance
- Virtual environment configuration issues
- Workspace structure complications
Solutions
Select Correct Python Interpreter
# Press Ctrl+Shift+P, then select:
Python: Select Interpreter
{
"python.pythonPath": "path-to-interpreter/python.exe"
}
Choose the interpreter located in your project's virtual environment folder (typically venv/Scripts/python.exe
on Windows or venv/bin/python
on Unix systems).
Clear Pylance Cache
WARNING
Clearing cache will temporarily slow down analysis as Pylance rebuilds its database
- Open Command Palette (
Ctrl+Shift+P
) - Select
Python: Clear Cache and Reload Window
This forces Pylance to rescan your environment and often resolves stale import errors.
Configure Workspace Properly
For projects with nested structures:
project/
├── .vscode/
├── client/ # React frontend
└── server/ # Flask backend
├── app/
├── venv/ # Virtual environment
├── config.py
└── requirements.txt
Open VS Code at the server/
level rather than the parent directory to ensure proper interpreter detection.
Install Packages in Active Environment
DANGER
Ensure you're installing to the correct environment
# Activate your virtual environment first
source venv/bin/activate # Unix
venv\Scripts\activate # Windows
# Then install requirements
pip install -r requirements.txt
Alternatively, specify the full path:
# Windows
.venv\Scripts\python -m pip install -r requirements.txt
# Unix
./venv/bin/python -m pip install -r requirements.txt
Configure Extra Paths for Pylance
If packages install to unusual locations:
- Run
pip --version
to find site-packages path - Open VS Code settings
- Search for
Python › Analysis: Extra Paths
- Add the site-packages path
Environment-Specific Solutions
Conda Users
Activate your conda environment before launching VS Code from the command line:
conda activate myenv
code .
ASDF Users
When using asdf version manager, select the shim path instead of the virtual environment path:
~/.asdf/shims/python
This ensures proper package resolution through asdf's environment management.
Verification
After applying fixes:
- Check that the selected interpreter in VS Code matches your virtual environment
- Verify packages are accessible in the integrated terminal
- Restart VS Code if issues persist
Most import resolution problems are resolved by ensuring VS Code uses the correct Python interpreter with properly installed packages. The Python: Clear Cache and Reload Window
command often provides immediate relief when configuration changes don't take effect.