Turning in the word frequency toolbox.

Liv_WordFrequency.py

@@ -0,0 +1,58 @@
+""" Analyzes the word frequencies in a book downloaded from
+	Project Gutenberg """
+
+##I used the given text because project gutenberg kept erroring on the browsers I was using. 
+# This is the text file I used shad0kn1ght.tripod.com/basement/PrideandPrejudice.txt
+
+import string
+import operator
+
+#The book I'm uploading is PrideandPrejudice
+
+def get_word_list(BookName): #Be sure that this input is a string
+	""" 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.
+	""" 
+	file = open(BookName +'.txt', 'r')
+	word_list =[]
+	for line in file: 
+	#Getting rid of punctuation 
+		line = "".join(c for c in line if c not in string.punctuation) + ""
+		b = line.split() 
+		for word in b: 
+			word_list.append(word)
+
+	return word_list
+
+get_word_list("PrideandPrejudice")
+
+
+
+def get_top_n_words(word_list, n):
+	""" Takes a list of words as input and returns a list of the n most frequently
+		occurring words ordered from most to least frequently occurring.
+
+		word_list: a list of words (assumed to all be in lower case with no
+					punctuation
+		n: the number of words to return
+		returns: a list of n most frequently occurring words ordered from most
+				 frequently to least frequentlyoccurring
+	"""
+	word_dict2 = {}
+	word_list = get_word_list("PrideandPrejudice")
+	for word2 in word_list: 
+		word_dict2[word2] = word_dict2.get(word2, 0) + 1 
+	tuple_list = [(value, key) for key, value in word_dict2.iteritems()]
+	tuple_list = sorted(tuple_list, reverse=True)
+
+	final_list = []
+
+	for pair in tuple_list[0:n]:
+		final_list.append(pair[1]) 
+
+	print(final_list)
+
+word_list = get_word_list("PrideandPrejudice")
+get_top_n_words(word_list, 100)