# Plot CSV file from https://gs.statcounter.com/  import csv from pylab import *  matplotlib.rcParams.update({'font.size': 16}) figure(figsize = (14, 10))  d = {}  # read CSV data: with open('browser-ww-monthly-200901-202412.csv') 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)):                 if h[x] == 'Date':                     d[h[x] ].append(r[x])                 else:                     d[h[x] ].append(float(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 or max(d[k[0] ]) >= 10:         if k[0] == "IE":             plot(t, d[k[0]], label = "Internet Explorer", lw = 3)         elif k[0] == "Edge":    # add the new and old Edge versions together:             d2 = [p + q for p, q in zip(d["Edge"], d["Edge Legacy"])]             plot(t, d2, label = "Edge", lw = 3)         else:             plot(t, d[k[0]], label = k[0], lw = 3) xlabel('Year') ylabel('%') title('Usage share of major web browsers') grid(True, ls = 'solid') legend(loc = (.7, .4)) gca().xaxis.get_major_formatter().set_useOffset(False) gca().xaxis.set_major_locator(MultipleLocator(1)) tick_params(labelright = True) xlim(2009, 2025) ylim(0, 70) gca().tick_params(axis = "both", pad = 12) text(t[-1], -8, "Source: StatCounter", ha = "right", size = 14)  savefig("Web_browser_usage_share_StatCounter.svg") show()