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Turning in the word frequency toolbox #42

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Turning in the word frequency toolbox #42

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55 changes: 53 additions & 2 deletions frequency.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,13 +3,59 @@

import string


def get_word_list(file_name):
""" Reads the specified project Gutenberg book. Header comments,
punctuation, and whitespace are stripped away. The function
returns a list of the words used in the book as a list.
All words are converted to lower case.
"""
pass
book = open(file_name,'r+')
lines = book.readlines()
curr_line = 0
while lines[curr_line].find('THE PICTURE OF DORIAN GRAY') == -1:
curr_line += 1
nope = lines[:curr_line+1]
start = len(str(nope))
dorian = str(lines[start:])
dorian = dorian[::-1]
dorian = dorian[30110:]
dorian = dorian[::-1]

dorian = dorian.replace("\\r\\n"," ")
dorian = dorian.translate(None,".,!:;*/_-()\\[]&?1234567890")
dorian = dorian.replace('"',' ')
dorian = dorian.replace("'"," ")
dorian = dorian.replace("rn"," ")
dorian = dorian.replace(" "," ")
dorian = dorian.replace(" "," ")
dorian = dorian.replace(" "," ")
dorian = dorian.lower()
dorian = dorian.split()
return dorian
book.close()



def histogram(s):
d = dict()
for c in s:
if d.get(c,0)>0:
d[c] = d[c] + 1
else:
d[c] = d.get(c,1) + d.get(c,0)
return d

def most_frequent(s):
hist = histogram(s)
t = []
for x, freq in hist.iteritems():
t.append((freq, x))
t.sort(reverse=True)
res = []
for freq, x in t:
res.append(x)
return res

def get_top_n_words(word_list, n):
""" Takes a list of words as input and returns a list of the n most frequently
Expand All @@ -21,4 +67,9 @@ def get_top_n_words(word_list, n):
returns: a list of n most frequently occurring words ordered from most
frequently to least frequentlyoccurring
"""
pass
words = get_word_list(word_list)
ranking = most_frequent(words)
return ranking[0:n-1]

print get_word_list('pg32325.txt')
print get_top_n_words('pg32325.txt', 100)