def numPassengersByDayOfWeek(self, network):
flights = network.countTotalBookedPerFlight()
day_names = ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday']
num_peeps = np.zeros(7)
for key, val in flights.items():
date = key[0]
day = Utils.date2DayOfWeek(date)
num_peeps[day_names.index(day)] += sum(val.values())
fracs = [val / num_peeps.sum() for val in num_peeps]
plt.pie(fracs, labels=day_names, autopct='%1.1f%%', colors=("b","g","r","y", "c", "w", "m"))
plt.title('Total Number of Passengers by Day of Week')
plt.show()
def numFlightsByDayOfWeek(self, network):
flights = network.f.getUniqueFlights()
day_names = ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday']
num_flights = np.zeros(7)
for group, df in flights:
date = group[0]
day = Utils.date2DayOfWeek(date)
num_flights[day_names.index(day)] += 1
fracs = [flight / num_flights.sum() for flight in num_flights]
plt.pie(fracs, labels=day_names, autopct='%1.1f%%', colors=("b","g","r","y", "c", "w", "m"))
plt.title('Total Number of Flights by Day of Week')
plt.show()
def encodeDate(date, date_reduction):
"""
args:
date: In the form month/day/year i.e. "4/8/2014"
date_reduction: -1 for one_hot and is_weekend
0 for is_weekend
1 for one_hot only
returns:
various encodings of date
"""
day = Utils.date2DayOfWeek(date)
one_hot_day = oneHotDay(day)
is_weekend = [Utils.isWeekend(day)]
if date_reduction == -1:
return np.hstack((one_hot_day, is_weekend))
elif date_reduction == 0:
return is_weekend
elif date_reduction == 1:
return one_hot_day
