hFunc.updateRunnerScores(results, meansAndStds, people, keepHistory) scoreMeanAndStd = hFunc.getMeanAndStdOfScores(people, keepHistory, minRaceCount, dropIntermediateScores, run+1) m, s = scoreMeanAndStd means.append(m) stds.append(s) totalScore.append(sum([v[0] for k,v in people.iteritems()])) if dropIntermediateScores and run < totalRuns-1: hFunc.dropIntermediateScores (people, keepHistory, keepGeneratedScore) #hFunc.rebaseScores(people, 1000, 200, minRaceCount) temp = hFunc.getIndividualMeansAndStds(people, keepHistory, minRaceCount, dropIntermediateScores, totalRuns) finalRanks, finalStds = temp print "number of people that participated in " + str(minRaceCount) + " or more races:", len(finalRanks) print "number of races with 10 or more runners: ", raceCounter scoreMeanAndStd = hFunc.getMeanAndStdOfScores(people, keepHistory, minRaceCount, dropIntermediateScores, totalRuns) mean, sdDiv = scoreMeanAndStd plt.hist(finalRanks, bins=100, normed=False, histtype='stepfilled', color='r', label='final', alpha = 0.5) plt.axvline(x=mean, color='black') plt.title("Rank Histogram") plt.xlabel("Rank") plt.ylabel("Frequency") plt.figtext(0.15, 0.85, str(round(mean, 3)) + '(' + str(round(sdDiv, 3)) + ')') plt.legend() plt.show()