README for data in Chapter 2 in Developing parametric finite element models of the residual limb – prosthetic socket system towards clinical application


Author: J. W. Steer
Date: 19 June 2019

This contains instructions for opening the .pkl file containing the data behind the figures. The .pkl file is strutured using dictionaries

Opening the data file
---------------------

The data file is encoded using the pickle package in python 3.6. The data is all stored within numpy arrays. The authors recommend downloading the anaconda distribution of python. 

"""
import pickle
import numpy
with open('data.pkl', 'rb') as f:
	Data = pickle.load(f)
"""

Figure 5.3
--------

Interface pressure profiles

Participant = ['Ideal', 'Adverse', 'Implant A', 'Impant B']


Example
Data['Figure 5.3']['Ideal']
Returns a Nx4 numpy array of the individuals corresponding to vertices and pressure 

Figure 5.4
--------

95th Percentile Strains

Participant = ['A', 'B']
Socket = ['TSB', 'PTB', 'KBM']


Example
Data['Figure 5.4']['A']['TSB']
Returns a numpy array of the 'Ideal', 'Adverse', 'Implant A', 'Impant B' strain

Figure 5.6
--------

Strain distribution for participant A 

data = ['Ideal', 'Adverse', 'Implant A', 'Impant B']


Example
Data['Figure 5.6']['Ideal']
Returns a numpy array of the bins and probability density

Figure 5.7
--------

Strain distribution for participant B

data = ['Ideal', 'Adverse', 'Implant A', 'Impant B']


Example
Data['Figure 5.7']['Ideal']
Returns a numpy array of the bins and probability density