# 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()