import pylab

import numpy

from matplotlib import mlab

from matplotlib import pyplot

# Graph Histogram as line

fig = pyplot.figure()

ax = fig.add_subplot(111)

def histo(count,x_lim,data_label):

return n

# Process "Matches" log

file = open('mapreduced-data/matches.log')

lines = file.readlines()

file.close()

count = []

for line in lines:

count.append(int(line.split('\t')[1]))

id_with_count = []

for line in lines:

ids = line.strip().split('\t')

id_with_count.append([int(ids[0]), int(ids[1])])

# Process "Platform" log

file = open('mapreduced-data/platform.log')

plat = file.readlines()

file.close

platform = {}

for line in plat:

entry = line.strip().split('\t')

platform[int(entry[0])]=entry[1]

# Split matches by platform

count_android = []

count_ios = []

false = 0

for entry in id_with_count:

try:

if platform[entry[0]] == 'iOS':

count_ios.append(entry[1])

except:

false += 1

try:

if platform[entry[0]] == 'Android':

count_android.append(entry[1])

except:

false += 1

print 'number of android bumps: ', len(count_android)

print 'number of ios bumps: ', len(count_ios)

print 'total bumps: ', len(count)

print 'bumps without platform match: ', false

#histo(count,30,'Total')

android_bins = histo(count_android,30,'Android')

ios_bins = histo(count_ios,30,'iOS')

pyplot.ylabel('User Count per Bin')

pyplot.xlabel('Number of Bumps (Bins)')

pyplot.title('Unique Bumps by Platform')

handles, labels = ax.get_legend_handles_labels()

ax.legend(handles, labels)

#pyplot.show()

def normalize_histo(bins):

return new_bin

ios_bins = normalize_histo(ios_bins)

android_bins = normalize_histo(android_bins)

fig2 = pyplot.figure()

ax2 = fig2.add_subplot(111)

ax2.semilogy(range(1,len(android_bins)+1),android_bins,label='Android')

ax2.semilogy(range(1,len(ios_bins)+1),ios_bins,label='iOS')

ax2.set_xlim([0,30])

pyplot.title('Normalized by platform population')

handles, labels = ax2.get_legend_handles_labels()

ax2.legend(handles, labels)

pyplot.show()