def getPollObjectCandidate(candidate_name):
start_date = ""
end_date = ""
poll_days = []
for day in days:
if len(str(day)) < 2:
#first month
if day > end_day:
poll_days.append("20160" + str(month_start_number) + "0" + str(day))
#end month
else:
poll_days.append("20160" + str(month_end_number) + "0" + str(day))
else:
#first month
if day > end_day:
poll_days.append("20160" + str(month_start_number) + str(day))
#end month
else:
poll_days.append("20160" + str(month_end_number) + str(day))
poll_days_copy = poll_days[:]
dp = DatabasePolls(poll_days_copy[0], poll_days_copy[len(poll_days_copy)-1], [candidate_name.capitalize()])
dp.queryDatabase()
dp.cleanPolls()
poll_data = dp.getCleanedPolls()
rrp = RegressionReadyPolls(poll_data, candidate_name.capitalize(), poll_days_copy[0], poll_days_copy[len(poll_days_copy)-1])
rrp.makeSimplePollNumbers()
rrp.fillGapsWithAvg()
return AnalysisObject(candidate_name, "Polls", [], rrp.getPollNumbers())
def getPollObjectCandidate1(candidate_name):
start_date = ""
end_date = ""
poll_days = []
for day in days:
if len(str(day)) < 2:
#first month
if day > end_day:
poll_days.append("20160" + str(month_start_number) + "0" + str(day))
#end month
else:
poll_days.append("20160" + str(month_end_number) + "0" + str(day))
else:
#first month
if day > end_day:
poll_days.append("20160" + str(month_start_number) + str(day))
#end month
else:
poll_days.append("20160" + str(month_end_number) + str(day))
poll_days_copy = poll_days[:]
dp = DatabasePolls(poll_days_copy[0], poll_days_copy[len(poll_days_copy)-1], candidate_name.title())
dp.queryDatabase()
dp.cleanPolls()
poll_data = dp.getCleanedPolls()
list_of_data = []
while poll_days_copy:
still_searching = True
does_exist = False
for poll in poll_data:
if poll[0] == int(poll_days_copy[0]) and still_searching == True:
i = 0
does_exist = False
for candidateInPoll in poll[1]:
if candidateInPoll == candidate_name.title():
does_exist = True
list_of_data.append(poll[2][i])
i += 1
still_searching = False
if does_exist == False:
list_of_data.append("None")
poll_days_copy.remove(poll_days_copy[0])
return AnalysisObject(candidate_name, "Polls", [], list_of_data)
