本文整理匯總了Python中MOSES.getbbc方法的典型用法代碼示例。如果您正苦於以下問題：Python MOSES.getbbc方法的具體用法？Python MOSES.getbbc怎麽用？Python MOSES.getbbc使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類MOSES的用法示例。
在下文中一共展示了MOSES.getbbc方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: getEfficiencyData
# 需要導入模塊: import MOSES [as 別名]
# 或者: from MOSES import getbbc [as 別名]
def getEfficiencyData(query_date=None):
#Set the date.
if query_date is None:
query_date = datetime.date.today()
user_id, password = MOSES.getbbc()
#Get a list of dictionaries pertaining to writers' data.
writers_data_list = MOSES.getWritersList(user_id, password, query_date)
#get a sorted list of writers' employee IDs.
writers_ids = [writer["Employee ID"] for writer in writers_data_list]
writers_ids.sort()
writer_count = len(writers_ids)
#For each writer, get the efficiency, work status, cfm and gseo.
writer_data_frame = pd.DataFrame(columns=["Employee ID","Employee Name","Status","Efficiency","CFM","GSEO","Efficiency Color","CFM Color", "GSEO Color"] )
#create a pandas dataframe with the following columns:
#writerid, writer_name, work_status, efficiency, cfm, gseo, stack_rank_index
red = "#FF3325"
green = "#43AD38"
blue = "#027CD5"
bright_blue = "#027CD5"
grey = "0.75"
writer_counter = 0
for writer in writers_data_list:
writer_id = writer["Employee ID"]
writer_name = "%s" %writer["Name"][:writer["Name"].find(" ")]
status, relaxation, approval = MOSES.checkWorkStatus(user_id, password, query_date, writer_id)
if status == "Working":
efficiency = MOSES.getEfficiencyFor(user_id, password, query_date, writer_id)
else:
efficiency = 100.00
cfm = MOSES.getCFMFor(user_id, password, query_date, writer_id)
gseo = MOSES.getGSEOFor(user_id, password, query_date, writer_id)
if status == "Working":
efficiency *= 100.000
efficiency = np.around(efficiency,3)
if efficiency < 100.000:
efficiency_color = red
elif 100.000 <= efficiency < 105.000:
efficiency_color = green
elif 105.000 <= efficiency < 110.000:
efficiency_color = blue
else:
efficiency_color = bright_blue
else:
efficiency_color = grey
#print efficiency, efficiency_color
if cfm < 95.000:
cfm_color = red
elif 95.000 <= cfm < 97.000:
cfm_color = green
elif 97.000 <= cfm < 99.000:
cfm_color = blue
else:
cfm_color = bright_blue
if gseo < 95.000:
gseo_color = red
elif 95.000 <= gseo < 97.000:
gseo_color = green
elif 97.000 <= gseo < 99.000:
gseo_color = blue
else:
gseo_color = bright_blue
writer_array = [writer_id, writer_name, status, efficiency,
cfm, gseo, efficiency_color, cfm_color, gseo_color]
#print writer_array
writer_data_frame.loc[writer_counter] = writer_array
writer_counter+=1
writer_data_frame.sort(["Efficiency","CFM","GSEO"], ascending = [0,0,0], inplace = True)
return writer_data_frame