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.