本文整理汇总了Python中MOSES.getAverageTeamCFMBetween方法的典型用法代码示例。如果您正苦于以下问题：Python MOSES.getAverageTeamCFMBetween方法的具体用法？Python MOSES.getAverageTeamCFMBetween怎么用？Python MOSES.getAverageTeamCFMBetween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MOSES的用法示例。
在下文中一共展示了MOSES.getAverageTeamCFMBetween方法的2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: getQualityHistoricalDataMonth
# 需要导入模块: import MOSES [as 别名]
# 或者: from MOSES import getAverageTeamCFMBetween [as 别名]
def getQualityHistoricalDataMonth(query_date = None, months = None):
import calendar
if query_date is None:
query_date = datetime.date.today()
if months is None:
months = 2
months_list = [month for month in range(query_date.month+1)][1:][-months:]
print months_list
dates_lists = []
end_dates = []
cfm_average_list = []
gseo_average_list = []
user_id, password = MOSES.getBigbrotherCredentials()
for month in months_list:
year_ = query_date.year
start_date = datetime.date(year_, month, 1)
end_date = datetime.date(year_, month, calendar.monthrange(year_, month)[1])
dates = MOSES.getWorkingDatesBetween(user_id, password, start_date, end_date, mode="All")
dates.sort()
start_date = min(dates)
end_date = max(dates)
cfm_average = 100.00*MOSES.getAverageTeamCFMBetween(start_date, end_date, True)
gseo_average = 100.00*MOSES.getAverageTeamGSEOBetween(start_date, end_date, True)
cfm_average_list.append(cfm_average)
gseo_average_list.append(gseo_average)
end_dates.append(end_date)
return end_dates, cfm_average_list, gseo_average_list示例2: getQualityHistoricalData
# 需要导入模块: import MOSES [as 别名]
# 或者: from MOSES import getAverageTeamCFMBetween [as 别名]
def getQualityHistoricalData(query_date = None, period = None):
if query_date is None:
query_date = datetime.date.today()
if period is None:
period = 5
group_size = 5
quantity = int(period/group_size)
#Get a list of lists containing group of working dates.
dates_lists = MOSES.getWorkingDatesLists(query_date, group_size=group_size, quantity=quantity)
#create two lists of average cfm and average gseo for all writers for these groups of dates.
#print dates_lists
cfm_average_list, gseo_average_list = [], []
end_dates = []
for date_set in dates_lists:
start_date = min(date_set)
end_date = max(date_set)
end_dates.append(end_date)
#print start_date, end_date
cfm_average = 100.00*MOSES.getAverageTeamCFMBetween(start_date, end_date, True)
gseo_average = 100.00*MOSES.getAverageTeamGSEOBetween(start_date, end_date, True)
#print cfm_average, gseo_average
cfm_average_list.append(cfm_average)
gseo_average_list.append(gseo_average)
#print cfm_average_list, gseo_average_list
return end_dates, cfm_average_list, gseo_average_list