# Plot CSV from http://gs.statcounter.com/#all-browser-ww-monthly-200812-201601

import csv
from pylab import *

figure(figsize = (8,8))

d = {}

# read CSV data:
with open('browser-ww-monthly-200812-201601.csv', newline='') as csvfile:
	for r in csv.reader(csvfile):
		if r[0] == 'Date':
			h = r
			for x in range(len(r)):
				d[r[x]] = []
		else:
			for x in range(len(r)):
				d[h[x]].append(r[x])

t = []

# calculate dates:
for x in d['Date']:
	y, m = x.split('-')
	t.append(float(y) + (float(m)-1)/12)

# sort keys by latest values:
v = []
for k in d.keys():
	if k != 'Date':
		v.append((k, float(d[k][-1])))
v = sorted(v, key = lambda a: a[1])[::-1]
print (v)

# plot data:
for k in v:
	if k[1] >= 2:
		plot(t, d[k[0]], label = k[0], lw = 2)
xlabel('Year')
ylabel('%')
title('Usage share of major (>2% in January 2016) web browsers')
grid(True, ls = 'solid')
legend(loc = (.55,.65))
gca().xaxis.get_major_formatter().set_useOffset(False)
tick_params(labelright=True)
xlim(t[0], t[-1])
text(2014.3, -5, "Source: StatCounter")

savefig("Web browser usage share, 01-2016.svg")
show()