def createAnddisplayCatHisto():
data = bowu.getSetOfCatagoriesWithCounts(10)
X = np.arange(len(data))
plt.bar(X, data.values(), align='center', width=0.5)
plt.xticks(X, data.keys())
ymax = max(data.values()) + 1
plt.ylim(0, ymax)
plt.title("Number of Review per Categorys ")
plt.xlabel("Category")
plt.ylabel("Number of Reviews")
plt.show()
def sentenceCount(text):
period_split = text.split(".")
exclamation_split = []
[exclamation_split.extend(s.split("!")) for s in period_split]
question_split = []
[question_split.extend(s.split("?")) for s in exclamation_split]
return len(question_split)-1
if __name__ == "__main__":
stars = (1,2,3,4,5)
number_of_reviews = 5
word_averages = []
sentence_averages = []
for star in stars:
reviews = bow.getReviews(number_of_reviews, star)
word_average = 0
sentence_average = 0
for r in reviews:
word_average += wordCount(r)
sentence_average += sentenceCount(r)
word_averages.append(word_average / number_of_reviews)
sentence_averages.append(sentence_average / number_of_reviews)
print(word_averages)
print(sentence_averages)
bar_width = .75
plt.title("Average Word Count Per Review by Star Rating")
plt.xlabel("Star Rating")
plt.ylabel("Number of Words")