Principal Component Analysis (PCA) with Python and scikit-learn

Python script performing principal component analysis (PCA) with scikit-learn and visualising the components with seaborn, on Mariana Trench morphometry. Reusable data-analysis example.

Scripts

• pca_san.py

Data

• Tab-Morph.csv

Requirements

Python 3 with matplotlib, mpl_toolkits, numpy, pandas, seaborn, scikit-learn.

pip install matplotlib mpl_toolkits numpy pandas seaborn scikit-learn

Author

Polina Lemenkova — ORCID: https://orcid.org/0000-0002-5759-1089

Archived code: https://doi.org/10.13140/RG.2.2.18141.05600

License

MIT — see the LICENSE file (Copyright Polina Lemenkova).