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WebscrapingExample.py
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WebscrapingExample.py
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# Import libraries
import requests
import urllib.request
import time
from datetime import date
from bs4 import BeautifulSoup
import numpy as np
import matplotlib.pyplot as plt
today = date.today()
today = today.strftime("%Y-%m-%d")
print("The date is: " + today)
cur_year = int(today[0:4])
cur_month = int(today[5:7])
cur_day = int(today[8:10])
biden_values = []
trump_values = []
states = ['alabama', 'alaska', 'arizona','arkansas', 'california', 'colorado', 'connecticut', 'delaware','district-of-columbia', 'florida', 'georgia', 'hawaii',
'idaho','illinois','indiana','iowa', 'kansas', 'kentucky','louisiana', 'maine', 'maryland', 'massachusetts', 'michigan', 'minnesota', 'mississippi',
'missouri', 'montana','nebraska','nevada', 'new-hampshire', 'new-jersey', 'new-mexico', 'new-york', 'north-carolina', 'north-dakota', 'ohio',
'oklahoma','oregon', 'pennsylvania','rhode-island','south-carolina','south-dakota', 'tennessee', 'texas', 'utah','vermont', 'virginia',
'washington', 'west-virginia', 'wisconsin','wyoming']
state_value = [9,3,11,6,55,9,7,3,3,29,16,4,4,20,11,
6,6,8,8,4,10,11,16,10,6,10,3,
5,6,4,14,5,29,15,3,18,7,7,20,
4,9,3,11,38,6,3,13,12,5,10,3]
#if a state has no data, then the state is not included in my tests, despite previous voting outcomes in the previous election
num_removed = 0
s = 0
while s < len(states):
data_points = 0
# Set the URL you want to webscrape from
url = 'https://projects.fivethirtyeight.com/polls/president-general/' + states[s] + '/'
# Connect to the URL
response = requests.get(url)
# Parse HTML and save to BeautifulSoup object
soup = BeautifulSoup(response.text, "html.parser")
body = soup.body
if(body == None):
print("\nNo data for " + states[s] + "\n")
states.pop(s)
state_value.pop(s)
continue
polls = body.find('div', class_ = "polls")
biden_total = 0
trump_total = 0
for day_container in polls.find_all('div',class_ = 'day-container'):
if data_points >= 5:
break
date = day_container.h2['data-date']
data_year = int(date[0:4])
data_month = int(date[5:7])
data_day = int(date[8:10])
#date_value = data_year * 365 + data_month * 30 + data_day This is an idea to implement later to get a more exact date and time cutoff
#today_value = cur_year * 365 + cur_month * 30 + cur_day
#if greater than 2 months old, break
if abs(cur_month - data_month) > 2 and data_points > 0:
break
print("{:<20}".format(states[s]) + date)
polls_table = day_container.table
tbody = polls_table.tbody
for visible_row in tbody.find_all('tr', 'visible-row'):
if(data_points >= 5):
break
name_box = visible_row.find('td', 'answer first hide-mobile')
if (name_box == None):
continue
name_1 = name_box.text
name_box2 = visible_row.find('td', 'answer hide-mobile')
if(name_box2 == None):
continue
name_2 = name_box2.text
if (name_1 == "Biden" and name_2 == "Trump" ):
data_points += 1
final_step = visible_row.find('td', 'value hide-mobile')
percent_text = final_step.text
percent_text = percent_text[:-1]
biden_total += int(percent_text)
final_step = final_step.find_next_sibling('td', 'value hide-mobile')
percent_text = final_step.text
percent_text = percent_text[:-1]
trump_total += int(percent_text)
if(data_points != 0):
biden_total /= data_points
trump_total /= data_points
trump_values.append(trump_total)
biden_values.append(biden_total)
s+=1
num_biden_wins = 0
num_trump_wins = 0
num_ties = 0
biden_delegates = 0
trump_delegates = 0
num_close = 0
num_close_delegates = 0
close_states = []
close_state_delegates = []
close_state_margin = []
blue_states = []
blue_state_values = []
red_states = []
red_state_values = []
print("{:<20}".format("States") + "{:}".format("Biden %") + "{:>11}".format("Trump %") + "{:>8}".format("Net"))
for b in range(0,len(biden_values)):
print("{:<20}".format(states[b]) + "{:.2f}".format(biden_values[b])+"%" + "{:>10.2f}".format(trump_values[b])+"%" + "{:>10.2f}".format(biden_values[b] - trump_values[b]))
if(abs(biden_values[b] - trump_values[b]) <= 5):
num_close += 1
num_close_delegates += state_value[b]
close_states.append(states[b])
close_state_delegates.append(state_value[b])
close_state_margin.append(biden_values[b] - trump_values[b])
if (abs(biden_values[b] - trump_values[b]) <= 1):
num_ties += 1
elif(biden_values[b] > trump_values[b]):
num_biden_wins += 1
biden_delegates += state_value[b]
if(biden_values[b] - trump_values[b] >= 8):
blue_states.append(states[b])
blue_state_values.append(state_value[b])
else:
num_trump_wins += 1
trump_delegates += state_value[b]
if (biden_values[b] - trump_values[b] <= -8):
red_states.append(states[b])
red_state_values.append(state_value[b])
print("Biden wins \t Ties\t Trump Wins\n" +"\t"+ str(num_biden_wins) +"\t\t\t" + str(num_ties) +"\t\t"+ str(num_trump_wins))
print("Biden Delegates\t\tTrump Delegates\n" + str(biden_delegates) + "\t\t\t\t\t" + str(trump_delegates))
print("number of swing states: " + str(num_close))
print("number of delegates for swing states: " + str(num_close_delegates))
print("\nPositive means in favor of Biden, negative means in favor of Trump")
for i in range(0,len(close_states)):
print("{:<15}".format(close_states[i]) + "\t" + "{:.2f}".format(close_state_margin[i]))
total = 0
print("\nThese blue states have a lead of 8 or greater and show corresponding delegate value")
for i in range(0,len(blue_states)):
print("{:<15}".format(blue_states[i]) + str(blue_state_values[i]))
total += blue_state_values[i]
print("Total\t" + str(total))
total = 0
print("\nThese red states have a lead of 8 or greater and show corresponding delegate value")
for i in range(0,len(red_states)):
print("{:<15}".format(red_states[i]) + str(red_state_values[i]))
total += red_state_values[i]
print("Total\t" + str(total))
"""
#Graph/Table stuff
objects = ('Python', 'C++', 'Java', 'Perl', 'Scala', 'Lisp')
y_pos = np.arange(len(objects))
performance = [10,8,6,4,2,1]
plt.bar(y_pos, performance, align='center', alpha=0.5)
plt.xticks(y_pos, objects)
plt.ylabel('Usage')
plt.title('Programming language usage')
plt.show()
"""
print("\n\nThis is the current combination of states needed to win from the tossups, given that other states will go to that candidate if it has a lean")
biden_lean = 0
trump_lean = 0
for i in range(0,len(biden_values)):
if (biden_values[i] - trump_values[i] > 5):
biden_lean += state_value[i]
if trump_values[i]-biden_values[i] > 5:
trump_lean+= state_value[i]
num_combos = 0
print("Biden combos")