# 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()