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import csv

import dateutil

import pylab as py

import matplotlib.dates as mdates

if __name__ == "__main__":

data = list(csv.DictReader(open("processor.csv")))

dates = [dateutil.parser.parse(x['date']) for x in data if x['date']]

clock = [x['clock'] for x in data if x['date']]

ax = py.gca()

fig = py.gcf()

ax.scatter(mdates.date2num(dates), clock, alpha=0.5)

ax.set_xticklabels([d.strftime("%Y") for d in mdates.num2date(

ax.get_xticks())], rotation=15, ha='right')

ax.set_yscale('log')

ax.set_ylabel("Clock speed (MHz)")

ax.set_xlabel("Date of CPU Release")

ax.set_title("Historical growth of CPU clock speed")

py.savefig("images/processor_clock.png")

py.show()