from collections import OrderedDict
from P4 import LetterFrequencyCount
import numpy as np
import sys
import matplotlib.pyplot as plt
if __name__ == '__main__':
lfcounter = LetterFrequencyCount()
result = lfcounter.run()
newDict = lfcounter.getDict()
sortDict = OrderedDict(sorted(newDict.items(), key=lambda t: t[0]))
fig, ax = plt.subplots()
fig.canvas.draw()
plt.xticks(np.arange(1,27))
x = [i for i in xrange(1,27)]
y = [value for letter, value in sortDict.iteritems()]
labels = [letter for letter in sortDict]
ax.set_xticklabels(labels)
plt.bar(x, y)
plt.show()
files = [
"TaleOfTwoCities.txt", "Frankenstein.txt", "PrideAndPrejudice.txt",
"WutheringHeights.txt", "ParadiseLost.txt"
]
colors = ['r', 'b', 'g', 'y', 'c']
count = 0
fig, ax = plt.subplots()
fig.canvas.draw()
plt.xticks(np.arange(1, 27))
x = [i for i in xrange(1, 27)]
labels = map(chr, range(97, 123))
ax.set_xticklabels(labels)
for f in files:
lfcounter = LetterFrequencyCount(args=["Novels - P4/" + f])
print "*" * 50
currDict = {}
with lfcounter.make_runner() as runner:
print runner._input_paths
runner.run()
for line in runner.stream_output():
key, value = lfcounter.parse_output_line(line)
currDict[key] = value
total_letters = currDict["total"]
currDict.pop("total")
for i in currDict.iteritems():
currDict[i[0]] = float(i[1]) / float(total_letters)
if __name__ == '__main__':
files = ["TaleOfTwoCities.txt", "Frankenstein.txt", "PrideAndPrejudice.txt", "WutheringHeights.txt", "ParadiseLost.txt"]
colors = ['r', 'b', 'g', 'y', 'c']
count = 0
fig, ax = plt.subplots()
fig.canvas.draw()
plt.xticks(np.arange(1,27))
x = [i for i in xrange(1,27)]
labels = map(chr, range(97, 123))
ax.set_xticklabels(labels)
for f in files:
lfcounter = LetterFrequencyCount(args=["Novels - P4/" + f])
print "*"*50
currDict = {}
with lfcounter.make_runner() as runner:
print runner._input_paths
runner.run()
for line in runner.stream_output():
key, value = lfcounter.parse_output_line(line)
currDict[key] = value
total_letters = currDict["total"]
currDict.pop("total")
for i in currDict.iteritems():
currDict[i[0]] = float(i[1])/float(total_letters)