survey.py
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#!/usr/bin/env python
import argparse,numpy,os,sys,csv,re
from matplotlib import rc
rc('font',**{'family':'serif','serif':['Times'], 'size': 9})
rc('text', usetex=True)
import matplotlib.pyplot as plt
parser = argparse.ArgumentParser()
args = parser.parse_args()
class Score(object):
def __init__(self, usage_score, efficiency_score):
self.usage_score, self.efficiency_score = usage_score, efficiency_score
scores = []
for line in csv.DictReader(open('survey.csv', 'rb'), dialect='excel'):
usage_keys = [key for key in line.keys() if re.search(r"""U\d""", key) != None]
efficiency_keys = [key for key in line.keys() if re.search(r"""E\d""", key) != None]
usage_score = 1. * len([1 for key in usage_keys if line[key] == 'Yes.']) + \
0.5 * len([1 for key in usage_keys if line[key] == 'Maybe.'])
efficiency_score = 1. * len([1 for key in efficiency_keys if line[key] == 'Yes.']) + \
0.5 * len([1 for key in efficiency_keys if line[key] == 'Maybe.'])
scores.append(Score(usage_score, efficiency_score))
scores.sort(key=lambda s: s.efficiency_score - s.usage_score)
efficiency_wins = len([1 for s in scores if s.efficiency_score > s.usage_score])
usage_wins = len([1 for s in scores if s.usage_score > s.efficiency_score])
fig = plt.figure()
ax = fig.add_subplot(111)
ax.bar(numpy.arange(len(scores)) - 0.3,
[s.usage_score for s in scores],
width=0.3, color='b', linewidth=0.,
label='{\\small \\textbf{Usage-Based Measure}: %d Wins}' % (usage_wins,))
ax.bar(numpy.arange(len(scores)),
[s.efficiency_score for s in scores],
width=0.3, color='r', linewidth=0.,
label='{\small \\textbf{Efficiency-Based Measure}: %d Wins}' % (efficiency_wins,))
ax.legend(loc='upper center', fontsize=9)
ax.set_yticks(ax.get_yticks()[1:])
ax.xaxis.set_ticks(numpy.arange(len(scores)))
ax.xaxis.set_tick_params(which='both', direction='out')
ax.tick_params(axis='both', which='both', top='off', right='off', labelbottom='off')
ax.axis(xmin=-0.7,xmax=len(scores) + 0.7,
ymin=0,ymax=max([max(s.efficiency_score,s.usage_score) for s in scores]) + 0.5)
for tick_location in ax.yaxis.get_majorticklocs():
ax.axhline(tick_location, color='black', ls=':', linewidth=0.1, zorder=-1)
ax.set_xlabel('\\textbf{%d Responses}' % (len(scores)), labelpad=6)
ax.set_ylabel('\\textbf{Score}')
fig.subplots_adjust(right=0.99,top=0.98,left=0.07,bottom=0.10)
fig.set_size_inches(6.5,2.5)
fig.savefig('survey.pdf')