polar-diagrams 1.0.2

Interactive Polar Diagrams for Model Comparison

Polar Diagrams for Model Comparison

Manuscript

This library is created for the following paper:

"Interactive Polar Diagrams for Model Comparison" by Aleksandar Anžel, Dominik Heider, and Georges Hattab

Please cite the paper as:

Bibtex citation placeholder

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Abstract:

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Dependencies

The code is written in Python 3.9.15 and tested on Linux with the following libraries installed:

Library	Version
numpy	1.23.5
pandas	1.5.2
scikit-learn	1.2.0
scipy	1.9.3
plotly	5.9.0
kaleido	0.2.1

The dependencies can also be found in requirements.txt.

Data

Location	Description
Data/	contains all datasets used in Source/main.ipynb.
Data/Dataset_0/	contains the Anscombe's quartet data set and the Datasaurus data set.
Data/Dataset_1/	contains the official, automatically generated script for downloading the CMIP3 data from the https://esgf-node.llnl.gov/projects/cmip3/. To generate the whole data set, the user should first place itself into this directory and then run the following command from the terminal sh generate_dataset_1.sh. [1]
Data/Dataset_2/	contains the data set from the subsection 3.2 Example 2 — Machine Learning Model Evaluation of our paper.
Data/Dataset_3/	contains the data set from the subsection 3.3 Example 3 — Biomedical Similarity Assertion of our paper.

[1] The script used for downloading the Dataset_1/ was generated using the tutorial found here https://esgf.github.io/esgf-user-support/faq.html#how-to-preserve-the-directory-structure. Script can be automatically generated and downloaded again from here https://esgf-data.dkrz.de/esg-search/wget?download_structure=model&project=CMIP3&experiment=historical&ensemble=run1&variable=ts.

Code

Source Code	Description
Source/	contains all source scripts.
Source/main.ipynb	contains the IPython (jupyter) notebook that demonstrates the library using multiple datasets. This notebook reproduces all of the results we presented in our paper.
Source/polar_diagrams/	contains the source code of our library.
Source/polar_diagrams/src/polar_diagrams.py	contains the source code that imports the data, modifies it, calculates statistical and information theory properties, and builds diagrams.
Source/polar_diagrams/tests/test.py	contains the source code for all unit tests.

Getting started

The Scalar Feature

Interactive aspects

Installation

Stable

We recommend installing the library using pip:

pip install polar-diagrams

Unstable

cd ./Source/polar_diagrams/
pip install --editable .

Running

Please check the API documentation of our library at Source/polar_diagrams/docs/polar_diagrams.md or the IPython (jupyter) notebook that demonstrates the library at Source/main.ipynb.

License

Licensed under the GNU General Public License, Version 3.0 (LICENSE or https://www.gnu.org/licenses/gpl-3.0.en.html)

Contribution

Any contribution intentionally submitted for inclusion in the work by you, shall be licensed under the GNU GPLv3.