def getTweets(candidate, start, end):
#get the tweets
twitter_counts, dates = GetHourlyTweetsDayRange.hourlyTweets(candidate, start, end)
#change Nones to 0's
i = 0
for count in twitter_counts:
if count == None:
twitter_counts[i] = 0
i += 1
#turn hourly counts into daily counts
daily_counts = []
i = 0
while i < len(twitter_counts):
daily_counts.append(sum(twitter_counts[i:i+23]))
i += 24
return daily_counts, dates
def plotTwitter(candidate, start, end):
twitter_counts, dates = GetHourlyTweetsDayRange.hourlyTweets(candidate, start, end)
#change Nones to 0's
i = 0
for count in twitter_counts:
if count == None:
twitter_counts[i] = 0
i += 1
#turn hourly counts into daily counts
daily_counts = []
i = 0
while i < len(twitter_counts):
daily_counts.append(sum(twitter_counts[i:i+23]))
i += 24
#normalize counts
types = AnalysisObjectFactory.createObject("GraphAnalysisNormalized", candidate, "twitter", 'dates go here', daily_counts)
daily_counts = types.getlist_para_two()
print 'Normalized: ' + str(daily_counts) + '\n'
num_counts = len(daily_counts)
#generate x-axis
x = list(range(0, len(daily_counts)))
line, = plt.plot(daily_counts, 'r')
plt.xticks(x, dates, rotation = 'vertical')
plt.xlim(0, num_counts)
plt.gcf().subplots_adjust(bottom=0.20)
plt.title('Daily tweet counts and article counts for ' + candidate)
global legend
legend[0].append(line)
legend[1].append('Tweets')
return daily_counts
