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For pie chart representation of results #51

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For pie chart representation of results #51

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9 changes: 7 additions & 2 deletions jobtweets.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,8 @@
import tweepy
from tweepy import OAuthHandler
from textblob import TextBlob

from matplotlib import pyplot as plt
import numpy as np
class TwitterClient(object):
'''
Generic Twitter Class for sentiment analysis.
Expand Down Expand Up @@ -96,7 +97,11 @@ def main():
print("Negative tweets percentage: {} %".format(100*len(ntweets)/len(tweets)))

print("Neutral tweets percentage: {} % ".format(100*(len(tweets) - len(ntweets) - len(ptweets))/len(tweets)))

data=[100*len(ptweets)/len(tweets),100*len(ntweets)/len(tweets),100*(len(tweets) - len(ntweets) - len(ptweets))/len(tweets)]
lab=['Positive','Negative','Neutral']
fig = plt.figure(figsize =(10, 7))
plt.pie(data, labels = lab)
plt.show()
print("\n\nPositive tweets:")
for tweet in ptweets[:10]:
print(tweet['text'])
Expand Down