Script to obtain optimized Metrocard rides.

optimized_metro.py

# number of optimized prices
num = 15
price_per_ride = 250 #cents
percentage = 5
min_price = 500 #cent
 
incease_percent = (100+percentage)/100.0
new_price_per_ride = price_per_ride/incease_percent
 
# Calculate lowest number of rides to satisfy low price
i = int(min_price/new_price_per_ride)
 
# Generate optimized prices
prices = []
while len(prices) < num:
    i = i + 1
    sale_price = int(round(new_price_per_ride*i))
    value_price = int(round(sale_price*incease_percent))
    if sale_price % 5 == 0 and value_price % 250 == 0:
        prices.append([i, sale_price/100.0])
 
# Output to CSV
import csv
header = ['Number of Rides', 'Optimized Price']
with open('prices.csv', 'wb') as csvfile:
    filewriter = csv.writer(csvfile)
    filewriter.writerow(header)
    for price in prices:
        filewriter.writerow(price)