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Hard mode complete #4

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7b4017b
added word_frequency.py
May 28, 2015
b6bfd1d
Added basic program flow in comments
May 28, 2015
6c8f5b1
Added a function to reformat the input from a file
May 28, 2015
a02d84f
added word_frequency function and modified reformat to take a string
pjpassa May 28, 2015
7452bbc
fixed issue with imports, and modified word_frequency to return a dict
pjpassa May 28, 2015
5442c5b
added print_word function
pjpassa May 28, 2015
e47174e
added ignored_words.txt
pjpassa May 28, 2015
efd15d3
refactored top_words and print_results
pjpassa May 29, 2015
6f926bd
made some variable names more descriptive
pjpassa May 29, 2015
0b4e82a
updated .gitignore
pjpassa May 29, 2015
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1 change: 1 addition & 0 deletions .gitignore
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@@ -1 +1,2 @@
.direnv/
__pycache__
8 changes: 8 additions & 0 deletions ignored_words.txt
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a,able,about,across,after,all,almost,also,am,among,an,and,any,are,as,at,be,
because,been,but,by,can,cannot,could,dear,did,do,does,either,else,ever,every,
for,from,get,got,had,has,have,he,her,hers,him,his,how,however,i,if,in,into,is,
it,its,just,least,let,like,likely,may,me,might,most,must,my,neither,no,nor,
not,of,off,often,on,only,or,other,our,own,rather,said,say,says,she,should,
since,so,some,than,that,the,their,them,then,there,these,they,this,tis,to,too,
twas,us,wants,was,we,were,what,when,where,which,while,who,whom,why,will,with,
would,yet,you,your
59 changes: 59 additions & 0 deletions word_frequency.py
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import re
import sys
from collections import defaultdict


# Functions

# Takes a string, keeps characters and numbers, and lowercases them.
def reformat(text, regex=r'[^A-Za-z1-9 ]'):
text = re.sub(r'[\n]', " ", text)
text = re.sub(regex, "", text)
text = re.sub(r'[ *]', " ", text)
text = text.lower()
return text


# Takes a string and returns a dict histogram of the words.
def word_frequency(file_text):
file_text = reformat(file_text)
word_list = file_text.split()
histogram = defaultdict(int)
with open("ignored_words.txt") as f:
ignored_words = f.read()
ignored_words = reformat(ignored_words, r'[^A-Za-z1-9,]')
ignored_list = ignored_words.split(",")
for word in word_list:
if word not in ignored_list:
histogram[word] += 1
return dict(histogram)


# Takes a dictionary and returns a list of tuples of the top number of words.
def top_words(word_dictionary, number):
word_list = [pair for pair in word_dictionary.items()]
word_list.sort(key=lambda pair: -pair[1])
return word_list[:number]


# Takes a list of tuples and prints them.
def print_results(word_list):
max_word_length = max(len(pair[0]) for pair in word_list)
scale = word_list[0][1]/50
for word, count in word_list:
count_text = "#"*int(round(count/scale))
word_text = word + " "*(max_word_length - len(word))
print("{} {}".format(word_text, count_text))

# Read file.
with open(sys.argv[1]) as f:
file_text = f.read()

# Create dictionary.
histogram_dict = word_frequency(file_text)

# Keep top 20 words from dictionary.
frequent_words = top_words(histogram_dict, 20)

# Print out the top 20 words.
print_results(frequent_words)