# Plot CSV file from http://gs.statcounter.com/

import csv
from pylab import *

figure(figsize = (8, 8))

d = {}

# read CSV data:
with open('browser-ww-monthly-200901-201705.csv', newline='') as csvfile:
	for r in csv.reader(csvfile):
		if r[0] == 'Date':
			h = r
			for x in range(len(r)):
				d[][x] = []
		else:
			for x in range(len(r)):
				d[][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[][0], label = k[0], lw = 2)
xlabel('Year')
ylabel('%')
title('Usage share of major (>2% in May 2017) web browsers')
grid(True, ls = 'solid')
legend(loc = (.4, .65))
gca().xaxis.get_major_formatter().set_useOffset(False)
tick_params(labelright=True)
xlim(t[0], t[-1])
ylim(0, 70)
text(2015.3, -5, "Source: StatCounter")

savefig("browser_share.svg")
show()