%matplotlib inline
from pattern.en import sentiment
import matplotlib.pyplot as plt

fileObj = open('booklist.txt', 'r')
fileLines = map(
    lambda x: x.strip(),
    filter(
        lambda x: x,
        fileObj.readlines()
    )
)
fileObj.close()

def chunks(l, n):
    """Yield successive n-sized chunks from l."""
    for i in xrange(0, len(l), n):
        yield l[i:i+n]

def get_sentiment_by_graf(text, chunksize):
    grafs = filter(lambda x: x, text.split('\n'))
    grafChunks = list(chunks(grafs, chunksize))
    grafChunkStrs = map(lambda x: '\n'.join(x), grafChunks)
    sentlist = map(lambda x: sentiment(x)[0], grafChunkStrs)
    return sentlist

bookSentDict = dict()

for filename in fileLines:
    bookObj = open("books/"+filename, 'r')
    bookText = bookObj.read()
    bookObj.close()
    
    bookTitle = filename.rsplit('.', 1)[0]
    bookSentDict[bookTitle] = get_sentiment_by_graf(bookText, 10)

import json

with open('sentiment_by_graf.json', 'w') as outfile:
    json.dump(bookSentDict, outfile)

for key in bookSentDict:
    sentiments = map(lambda x: x, bookSentDict[key])
    
    print key
    
    plt.plot(sentiments)
    plt.ylabel('sentiment')
    plt.xlabel('paragraphs')
    plt.show()

Galapagos

Bluebeard

Breakfast of Champions

Basic Training

Mother Night

Armageddon In Retrospect

Slaughterhouse-Five

Jailbird

Slapstick

Happy Birthday, Wanda June