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Just run the pipeline - it will detect missing packages and offer to install them:
python scripts/run_complete_pipeline.pyWhen prompted, type y to auto-install missing dependencies.
Run the dedicated install script:
python scripts/install_dependencies.pyInstall all dependencies manually:
pip install -r requirements.txtOr install just the core packages:
pip install h3>=3.7.0 geopandas>=0.13.0 pandas>=2.0.0 numpy>=1.24.0 shapely>=2.0.0After installation, configure your data paths and run:
# 1. Edit data paths in the script
nano scripts/run_complete_pipeline.py # or use any editor
# 2. Run the pipeline
python scripts/run_complete_pipeline.pySee docs/DATA_CONFIGURATION.md for detailed data setup instructions.
- Run:
pip install h3 - Or use automatic installation (Option 1 above)
- Run:
pip install geopandas - Note: geopandas requires GDAL/GEOS libraries
- On Colab/Jupyter: These are pre-installed
- On local machine: See https://geopandas.org/getting_started/install.html
- Try:
pip install --user -r requirements.txt - Or use a virtual environment:
python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate pip install -r requirements.txt
Most packages are pre-installed. You may only need:
!pip install h3Then run the pipeline normally.