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EAF 3D Visualization

This repository includes a first draft of an 3D Visualization of Empirical Attainment Function (EAF) results.

Specifically, this repository plots the following two results from the EAF package:

  1. uniform-250-10-3d.txt.
  2. spherical-250-10-3d.txt.

Requisites

  • Python is required for reproducing the analysis. Further documentation here.
    • The pandas package is required for data manipulation and to get real time data.
    • The numpy package is required for mathematical formulations.
    • The matplotlib package is required for plots.

EAF results data

This project utilizes the both: uniform-250-10-3d.txt and spherical-250-10-3d.txt files.

Theese files, used as input, have been sourced from here.

Plots & Reproducibility

In order to obtain the EAF 3D plots, it is only necessary to run either:

  • testing_with_df.py: to plot the first level of the uniform-250-10-3d.txt dataset.
  • test_uniform_vs_spherical.py: to plot the first level of the uniform-250-10-3d.txt and spherical-250-10-3d.txt datasets in the same canvas.