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WordFrequency.py
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WordFrequency.py
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#!/usr/bin/env python
#Function returnNGrams
#If speed becomes issue then can try sets or bisecting. to bisect will need to modify to be a sorted list
def datafileGenerator(name, sep='\t'):
"Read key,value pairs from file."
for line in file(name):
yield line.split(sep)
def datafileIterator(name, sep='\t'):
"Read key,value pairs from file."
return [line.split(sep) for line in file(name)]
#returns dictionary of words as keys with frequency rankings as values
def returnNGrams(wordList):
wordList = [word.lower() for word in wordList]
position = 1
returnDict = {}
frequencyList = []
for item in datafileGenerator('ngrams/count_1w.txt'):
frequencyList.append(item[0])
for frequencyItem in frequencyList:
for word in wordList:
if frequencyItem == word:
returnDict[word] = position
wordList.remove(word)
position+=1
return returnDict
def findInPersonalWordList(wordList, mustHaveEtymology=True):
import json
match =[]
wordList = [word.lower() for word in wordList]
with open('wordList3.json') as personalWordListFile:
personalWordListJson = json.load(personalWordListFile)
match = [personalWordItem for personalWordItem in personalWordListJson
if ((personalWordItem['Word'] in wordList) and
(not mustHaveEtymology or personalWordItem['Etymology']))]
# for personalWord in personalWordListJson:
# print personalWord['Word']
return match
#If called directly, run the function with the sys.argv as the arguments
if __name__ == "__main__":
import sys
import pprint
pprint.pprint(returnNGrams(sys.argv[1:]))