TPC_fitting: A new tool for quantifying the response of metabolic traits to climate change! 🌍 This python package fits mechanistic mathematical models to thermal performance data using a non-linear least-squares method.
Usage: $ python pipeline.py
Navigate to sub-directories for further information
- Jupyter notebook detailing theory, methods and usage examples.
- Initial project proposal in LaTeX
BioTraits.csva subset of the biotraits database (Dell, Pawar, Savage, 2013).
- Empty directory to store results from TPC_fitting
- Main python code!
pipeline.py- Python script to run TPC_fitting.
Data_clean.py- An optional workflow implementing a
pandasfriendly approach to data wrangling 🐼
- An optional workflow implementing a
Data_exploration.py- A
seabourneadventure through the biotraits database.
- A
- Clone repo, e.g.:
git clone ... - Create virtualenv, e.g.:
virtualenv -p python3 venv - Activate virtualenv, e.g.:
source venv/bin/activate - Install requirements, e.g.:
pip install -r requirements.txt
- Hannah O'Sullivan (h.osullivan18@imperial.ac.uk) 📧
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