tommyhuang1

n1 = NewData[['bathrooms','bedrooms','price',"By Owner",
                     "Exclusive",
                     "Sublet / Lease-Break",
                     "No Fee",
                     "Reduced Fee",
                     "Short Term Allowed",
                     "Furnished",
                     "Laundry In Unit",
                     "Private Outdoor Space",
                     "Parking Space",

tommyhuang1

wikiD = map(lambda x: TextBlob(x),DataWithRating3.Review)

resultD=[]
for i in range(len(wikiD)):
    k = wikiD[i].sentiment.polarity 
    resultD.append(k)

DataWithRating3['Polarity'] = resultD

import seaborn as sns

tommyhuang1

wikiC = map(lambda x: TextBlob(x),DataWithRating2.Review)

resultC=[]
for i in range(len(wikiC)):
    k = wikiC[i].sentiment.polarity 
    resultC.append(k)

DataWithRating2['Polarity'] = resultC

import seaborn as sns

tommyhuang1

wikiB = map(lambda x: TextBlob(x),DataWithRating1.Review)


resultB=[]
for i in range(len(wikiB)):
    k = wikiB[i].sentiment.polarity 
    resultB.append(k)

DataWithRating1['Polarity'] = resultB

tommyhuang1

import sys  
import numpy as np
reload(sys)  
sys.setdefaultencoding('utf8')
from textblob import TextBlob
wikiA = map(lambda x: TextBlob(x),DataWithRating.Review)

 
resultA=[]
for i in range(len(wikiA)):

tommyhuang1

result1=[]
for i in range(len(wiki)):
    objective  = wiki[i].sentiment.subjectivity 
    result1.append(objective)
    
result3=[]
for i in range(len(wiki1)):
    objective  = wiki1[i].sentiment.subjectivity 
    result3.append(objective)

tommyhuang1

# Polarity for Gabapentin
import sys  

reload(sys)  
sys.setdefaultencoding('utf8')
from textblob import TextBlob
wiki = map(lambda x: TextBlob(x),B.Review)

result=[]
for i in range(len(wiki)):

tommyhuang1

from os import path
import PIL
import matplotlib.pyplot as plt
from wordcloud import WordCloud
n = Pregabalin.Review.str.cat(sep=', ')
wordcloud = WordCloud().generate(n)
# Open a plot of the generated image.
plt.imshow(wordcloud)
plt.axis("off");
plt.show()

tommyhuang1

n = Topiramate.Review.str.cat(sep=', ')
wordcloud = WordCloud().generate(n)
# Open a plot of the generated image.
plt.imshow(wordcloud)
plt.axis("off");
plt.show()

tommyhuang1

k = clonazepam.Review.str.cat(sep=', ')
wordcloud = WordCloud().generate(k)
# Open a plot of the generated image.
plt.imshow(wordcloud)
plt.axis("off");
plt.show()