def main():
print('Drug Use By Age')
research.init()
print()
msg = "Highest Percentage of those in a age group who used alcohol in the past 12 months"
print(msg)
print()
data = research.highest_alcohol_use()
for idx, r in enumerate(data[:5],1):
print(f'{idx}. {r.alcohol_use} % of age group: {r.age} years used alcohol {int(r.alcohol_frequency)} number of times (median)')
app_log.trace(f'QUERY: {msg}')
print()
msg = "Highest Percentage of those in a age group who used marijuana in the past 12 months"
print(msg)
print()
data = research.highest_marijuana_use()
for idx, r in enumerate(data[:5],1):
print(f'{idx}. {r.marijuana_use} % of age group: {r.age} years used marijuana {int(r.marijuana_frequency)} number of times (median)')
app_log.trace(f'QUERY:{msg}')
print()
msg = "Highest Percentage of those in a age group who used cocaine in the past 12 months"
print(msg)
print()
data = research.highest_cocaine_use()
for idx, r in enumerate(data[:5],1):
print(f'{idx}. {r.cocaine_use} % of age group: {r.age} years used cocaine {int(r.cocaine_frequency)} number of times (median)')
app_log.trace(f'QUERY:{msg}')
def main():
profiler.enable()
# init
research.init()
hot_days = research.get_hot_days()
cold_days = research.get_cold_days()
wet_days = research.get_wettest_days()
profiler.disable()
# print the 5 hottest days
print('5 Hottest days')
for day in hot_days[:5]:
print(f'{day.actual_max_temp}F on {day.date}')
# print the 5 coolest dates
print()
print('5 Coldest days')
for day in cold_days[:5]:
print(f'{day.actual_min_temp}F on {day.date}')
# print the wettest dates
print()
print('5 Wettest days')
for day in wet_days[:5]:
print(f'{day.actual_precipitation} inches on {day.date}')
def main():
print("Weather research for Seattle, 2014-2015")
print()
# TODO: Initialize the data
research.init()
#print(research.data)
print("The hottest 5 days:")
days = research.hot_days()
#TODO: Show the days, creating a function that gives the hottest 5 days
for idx, d in enumerate(days[:5]):
print("{}. {} F on {}".format(idx + 1, d.actual_max_temp, d.date))
print()
print("The coldest 5 days:")
days = research.cold_days()
#TODO: Show the days
for idx, d in enumerate(days[:5]):
print("{}. {} F on {}".format(idx + 1, d.actual_min_temp, d.date))
print()
print("The wettest 5 days:")
#TODO: Show the days
days = research.wet_days()
# TODO: Show the days
for idx, d in enumerate(days[:5]):
print("{}. {} F on {}".format(idx + 1, d.actual_precipitation, d.date))
def main():
print('Initialize the data.')
# TODO: initialize csv file.
research.init()
print()
print('-' * 50)
print('Top five countries that consume the most beer:')
beer_countries = research.sort_beer(research.data)
for i, record in enumerate(beer_countries[:5], 1):
print("{}. {} consumes {} servings of beer per year.".format(
i, record.country, record.beer_servings))
print()
print('Top five countries that consume the most spirits:')
spirit_countries = research.sort_spirit(research.data)
for i, record in enumerate(spirit_countries[:5], 1):
print("{}. {} consumes {} servings of spirit per year.".format(
i, record.country, record.spirit_servings))
print()
print('Top five countries that consume the most wine:')
wine_countries = research.sort_wine(research.data)
for i, record in enumerate(wine_countries[:5], 1):
print("{}. {} consumes {} servings of wine per year.".format(
i, record.country, record.wine_servings))
def main():
print(f'Weather data for Seattle, 2014-2015')
print()
# Initialize the data
research.init()
print('The hottest 5 days:')
days = research.hot_days()
for idx, d in enumerate(days[:5]):
print(f'#{idx + 1}, {d.actual_max_temp} F on {d.date}')
print()
print('The coldest 5 days:')
days = research.cold_days()
for idx, d in enumerate(days[:5]):
print(f'#{idx + 1}, {d.actual_min_temp} F on {d.date}')
print()
print('The wettest 5 days:')
days = research.wet_days()
for idx, d in enumerate(days[:5]):
print(
f'#{idx + 1}, {d.actual_precipitation} inches of rain on {d.date}')
def main():
print("Drug Use Data")
print()
research.init()
def main():
print("Weather research for Seattle, 2014-2015")
print()
research.init()
print('The hottest 5 days:')
days = research.hot_days()
for idx, d in enumerate(days[:5]):
print("{}. {} F on {}".format(idx + 1, d.actual_max_temp, d.date))
print()
print('The coldest 5 days:')
days = research.cold_days()
for idx, d in enumerate(days[:5]):
print("{}. {} F on {}".format(idx + 1, d.actual_min_temp, d.date))
print()
print('The wettest 5 days:')
days = research.wet_days()
for idx, d in enumerate(days[:5]):
print("{}. {} inches of rain on {}".format(idx + 1,
d.actual_precipitation,
d.date))
def main():
print('Alcohol Consumption Worldwide...')
research.init()
print('Countries that drink the most')
drink_most = research.drink_most()
for idx, drink in enumerate(drink_most[:5],1):
print(f"{idx} : {drink.country} - {drink.total_litres_of_pure_alcohol}")
print('Countries that drink the least')
drink_least = research.drink_least()
for idx, drink in enumerate(drink_least[:5],1):
print(f"{idx} : {drink.country} - {drink.total_litres_of_pure_alcohol}")
print('Countries that drink the least - non-zero')
drink_least = research.drink_nonzero_least()
for idx, drink in enumerate(drink_least[:5], 1):
print(f"{idx} : {drink.country} - {drink.total_litres_of_pure_alcohol}")
print('Countries that drink the most spirits')
drinks = research.most_spirits()
for idx, drink in enumerate(drinks[:5], 1):
print(f"{idx} : {drink.country} - {drink.spirit_servings} servings")
print('Countries that drink the least spirits')
drinks = research.least_spirits()
for idx, drink in enumerate(drinks[:5], 1):
print(f"{idx} : {drink.country} - {drink.spirit_servings} servings")
print('Countries that drink the least spirits')
drinks = research.least_nonzero_spirits()
for idx, drink in enumerate(drinks[:5], 1):
print(f"{idx} : {drink.country} - {drink.spirit_servings} servings")
def main():
print("Weather research for Seattle, 2014-2015")
print()
profiler.enable()
research.init()
hot_days = research.hot_days()
cold_days = research.cold_days()
wet_days = research.wet_days()
profiler.disable()
print("The hottest 5 days:")
for idx, d in enumerate(hot_days[:5]):
print("{}. {} F on {}".format(idx + 1, d.actual_max_temp, d.date))
print()
print("The coldest 5 days:")
for idx, d in enumerate(cold_days[:5]):
print("{}. {} F on {}".format(idx + 1, d.actual_min_temp, d.date))
print()
print("The wettest 5 days:")
for idx, d in enumerate(wet_days[:5]):
print("{}. {} inches of rain on {}".format(idx + 1, d.actual_precipitation, d.date))
def main():
# TODO: load the CSV file
# TODO: Ask an input question
# TODO: Output a 'region' appropriate answer.
print('Earthquake data for San Andreas')
print()
research.init()
print()
print('End. ')
def main():
# merge_data.merge_data()
research.init()
print('')
print('Here are the suburbs with the lowest number of complaints')
for i in research.safest_suburbs():
print(f'{i[0]} has {i[1]} food safety complaints')
print('')
print('Here are the suburbs with the highest number of complaints')
for i in research.sickest_suburbs():
print(f'{i[0]} has {i[1]} food safety complaints')
def main():
research.init()
print("Applicant Research")
print()
print("The top cities.")
top_cities = research.top_cities(4)
print(top_cities)
print("The top companies.")
top_companies = research.top_companies(3)
print(top_companies)
def main():
research.init()
# Ask region
regions = research.get_list_regions()
region_id = ask_for_region(regions)
# Ask money
moneys_ranges = research.get_moneys_ranges()
money_id = ask_for_household_budget(moneys_ranges)
research.print_others_meals_choice(regions[region_id],
moneys_ranges[money_id])
def main():
research.init()
print('\n\n Regions:\n')
regions = research.get_regions()
for k, v in regions.items():
print(f'({k}).{v}')
region = regions.get(int(input('Please select the region: ')))
print('\n\nIncomes\n')
incomes = research.get_income_ranges()
for k, v in incomes.items():
print(f'({k}).{v}')
income = incomes.get(int(input('Please select the income range: ')))
research.output_region_appropriate_menu_of_five_items(region, income)
def __call__(self):
profiler.enable()
research.init()
matched_candy = []
while True:
# inp = input(
# "Please enter, one category at a time, what kind of candy you like (pick from: chocolate, fruity, "
# "caramel, peanutyalmondy, nougat, crispedricewafer, hard, bar. Type 'f' when finished.\n>>> ")
self.categories = ['chocolate', 'caramel']
inp = 'f'
try:
if self._check_first_input(inp) is 'f':
break
except ValueError as ve:
print(ve)
continue
self._get_matched_candy()
while True:
inp = 'single' # using predefined values to eliminate input skew
# inp = input("Do you prefer [single] candies, or ones that include [multiple] in one package?\n>>> ")
try:
if self._check_second_input(inp):
print(self.matched_candy)
self._get_matched_candy()
break
except ValueError as ve:
print(ve)
continue
sorted_candy = research.sort_matched_candy_by('winpercent',
self.matched_candy)
top_five = research.get_top_five_candy(sorted_candy)
if top_five:
print(
"Below is a list of the top matching candies, based on your selections:"
)
for idx, candy in enumerate(top_five, 1):
print(f"{idx}. {candy.competitorname}")
else:
print(
"Unfortunately, it seems no candy in our database matches your preference."
)
profiler.disable()
def main():
research.init()
print('Breakdown of post-Sandy 311 calls')
print()
print('Top 5 days for total calls')
days = research.call_days()
for idx, row in enumerate(days[:5], 1):
print(f'{idx}. {row.date}: {row.total}')
print()
print('Top 5 days for FEMA-associated calls.')
days = research.fema_calls()
for idx, row in enumerate(days[:5], 1):
print(f'{idx}. {row.date}: {row.FEMA}')
print()
research.day_lookup()
def main():
print('Weather Data Analysis start')
research.init()
#To Do: Read CSV file
days = research.get_hottest_days()
# Get top 5 hottest days
for idx, day in enumerate(days[:5]):
print(
f'{idx+1}. {day.date} is hottest day with {day.actual_max_temp} F')
print()
days = research.get_coldest_days()
for idx, day in enumerate(days[:5]):
print(
f'{idx+1}. {day.date} is coldest day with {day.actual_max_temp} F')
#Get top 5 clod days
pass
def main():
print("Weather research data for Seattle, 2014-2015")
print()
research.init('nyc.csv')
hot_days = research.hot_days()
cold_days = research.cold_days()
wet_days = research.wettest_days()
print('======================================')
print("The 5 hottest days:")
for idx, d in enumerate(hot_days[:5], 1):
print(f"{idx}. {d.date}: {d.actual_max_temp}F")
print('======================================')
print("The 5 coldest days:")
for idx, d in enumerate(cold_days[:5], 1):
print(f"{idx}. {d.date}: {d.actual_min_temp}F")
print('======================================')
print("The 5 wettest days:")
for idx, d in enumerate(wet_days[:5], 1):
print(f"{idx}. {d.date}: {d.actual_precipitation}in")
def main():
print("Weather research for Seattle, 2014-2015")
print()
research.init()
print("The hottest 5 days:")
days = research.hot_days()
for idx, day in enumerate(days[:5], 1):
print(f'{idx}. {day.actual_max_temp} on {day.date}')
print()
print("The coldest 5 days:")
days = research.cold_days()
for idx, day in enumerate(days[:5], 1):
print(f'{idx}. {day.actual_min_temp} on {day.date}')
print()
print("The wettest 5 days:")
days = research.wet_days()
for idx, day in enumerate(days[:5], 1):
print(f'{idx}. {day.actual_precipitation} on {day.date}')
print()
def main():
print("Weather research for Seattle, 2014-2015")
print()
research.init()
print("The hottest 5 days: ")
days = research.hot_days()
for idx, d in enumerate(days[:5], start=1):
print(f"{idx}. {d.actual_max_temp} F on {d.date}")
print()
print("The coldest 5 days: ")
days = research.cold_days()
for idx, d in enumerate(days[:5], start=1):
print(f"{idx}. {d.actual_min_temp} F on {d.date}")
print()
print("The wettest 5 days: ")
days = research.wet_days()
for idx, d in enumerate(days[:5], start=1):
print(f"{idx}. {d.actual_precipitation} inches of rain on {d.date}")
print()
def companies_div_over_4(data):
return [company for company in data if company.DividendYield >= 4.00]
def companies_close_to_WeekLow(data):
# Let's say close is a 10% over it or less.
return [
company for company in data if company.WeekLow >= 0.95 * company.Price
]
if __name__ == '__main__':
profiler.enable()
research.init()
profiler.disable()
print('---------------')
print('Companies under 50$:')
print()
for company in companies_under_50(research.data):
print(f'{company.Symbol}: {company.Price}')
print()
print('Companies with div yield over 4:')
print()
for company in companies_div_over_4(research.data):
print(f'{company.Symbol}: {company.DividendYield}')
print()
print(len(companies_close_to_WeekLow(research.data)))
for company in companies_close_to_WeekLow(research.data):
print(f'{company.Symbol}: {company.Price} - {company.WeekLow}')
def main():
print('Netflix Show Data from Netflix_Titles.csv')
print()
research.init()
def main():
print('Starting...')
research.init()
