plot_perms.py

import argparse
from copy import deepcopy
import pandas as pd
import h5py
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
from scipy import stats
import matplotlib.pylab as pylab
params = {'axes.titlesize':'x-large',
        'axes.labelsize': 'x-large'}
pylab.rcParams.update(params)

DIRECTORY = 'final/plots/' # TODO change this as needed


def parse_h5(filename):
    
    f = h5py.File(filename, 'r')                                                                                            
    
    ewc_pens = []
    avg_accs = []

    for data in f['ewc_pen']:
        ewc_pens.append(data)

    for data in f['avg_acc']:
        avg_accs.append(data)
    
    f.close()

    return ewc_pens, avg_accs 

def plot_line_avg_acc(avg_accuracies, labels):

    plt.figure()
    
    for i, avg_acc in enumerate(avg_accuracies):
        plt.plot(avg_acc, label=labels[i])
    

    plt.ylabel('Average Accuracy on All Tasks')
    plt.xlabel('Total Task Count')
    plt.xlim(1, len(avg_accuracies[0]))

    plt.legend(ncol=1, fancybox=True, shadow=True)
    # plt.legend(loc='upper center', bbox_to_anchor=(0.5, 1.05),
    #            ncol=3, fancybox=True, shadow=True)

    plt.savefig('{}avg_acc.pdf'.format(DIRECTORY), dpi=300, format='pdf')


def plot_line_ewc_pen(ewc_pens, labels):

    plt.figure()
    
    for i, ewc_pen in enumerate(ewc_pens):
        plt.plot(ewc_pen, label=labels[i])
    

    plt.ylabel('EWC Loss Penalty')
    plt.xlabel('Total Task Count')
    plt.xlim(1, len(ewc_pens[0]))
    plt.ylim(0.0, 1.8)

    plt.legend(loc='upper center', bbox_to_anchor=(0.5, 1.05),
          fancybox=True, shadow=True, ncol=5) 
    # plt.legend(loc='upper center', bbox_to_anchor=(0.5, 1.05),
    #            ncol=3, fancybox=True, shadow=True)

    plt.savefig('{}ewc_pen.pdf'.format(DIRECTORY), dpi=300, format='pdf')


def main():

    #sns.set(color_codes=True)

    parser = argparse.ArgumentParser(description='Plotting Tool')

    parser.add_argument('--filenames',
            nargs='+', type=str, default=['NONE'], metavar='FILENAMES',
            help='names of .h5 files containing experimental result data')
    
    args = parser.parse_args()
    
    print(args.filenames)

    ewc_pens_list = []
    avg_accs_list = []

    for filename in args.filenames:
        ewc_pens, avg_accs = parse_h5(filename)

        ewc_pens_list.append(ewc_pens)
        avg_accs_list.append(avg_accs)
    
    labels = ['10%', '20%', '30%', '40%', '50%', '60%', '70%', '80%', '90%', '100%']
    
    print(ewc_pens_list)


    plot_line_avg_acc(avg_accs_list, labels)

    plot_line_ewc_pen(ewc_pens_list, labels)

if __name__ == '__main__':
    main()