def main():
counter = p36.main()
freq = pd.Series(list(counter.values()), index=list(counter.keys()))
plot = freq.hist()
fig = plot.get_figure()
fig.savefig('fig38.png')
def main():
counter = p36.main()
word10 = []
count10 = []
for word, count in counter.most_common(10):
word10.append(word)
count10.append(count)
plt.bar(range(10), count10, align='center')
plt.xticks(range(0, 10), word10)
plt.savefig('fig37.png')
def main():
counter = p36.main()
#freq = pd.Series(list(counter.values()), index=list(counter.keys()))
#plot = freq.hist()
#fig = plot.get_figure()
#fig.savefig('fig38.png')
plt.figure()
plt.xscale('log')
plt.yscale('log')
plt.plot(sorted(list(counter.values()), reverse=True), range(1, len(list(counter))+1))
plt.savefig('fig39-2.png')
def main():
counter = p36.main()
#freq = pd.Series(list(counter.values()), index=list(counter.keys()))
#plot = freq.hist()
#fig = plot.get_figure()
#fig.savefig('fig38.png')
plt.figure()
plt.xscale('log')
plt.yscale('log')
plt.plot(sorted(list(counter.values()), reverse=True),
range(1,
len(list(counter)) + 1))
plt.savefig('fig39-2.png')
