本文整理汇总了Python中Utils.Utils.date2DayOfWeek方法的典型用法代码示例。如果您正苦于以下问题:Python Utils.date2DayOfWeek方法的具体用法?Python Utils.date2DayOfWeek怎么用?Python Utils.date2DayOfWeek使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Utils.Utils
的用法示例。
在下文中一共展示了Utils.date2DayOfWeek方法的3个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: numPassengersByDayOfWeek
# 需要导入模块: from Utils import Utils [as 别名]
# 或者: from Utils.Utils import date2DayOfWeek [as 别名]
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()
示例2: numFlightsByDayOfWeek
# 需要导入模块: from Utils import Utils [as 别名]
# 或者: from Utils.Utils import date2DayOfWeek [as 别名]
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()
示例3: encodeDate
# 需要导入模块: from Utils import Utils [as 别名]
# 或者: from Utils.Utils import date2DayOfWeek [as 别名]
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