def initUI(self):
self.setWindowTitle(self.title)
list_w=QListWidget(self)
sales_data,anagrafica, market_data,market_data_pb, integration_data,integration_probiotici=ldl.load_data()
data_lineage=ldl.load_data_lineage()
perimeter=ldl.load_market_perimeter_doc()
self.allData=ds.AllData(anagrafica,sales_data, market_data,market_data_pb, integration_data,integration_probiotici,data_lineage,perimeter)
to_add_items=self.allData.integration['Material'].apply(lambda x:str(x)+'-' )+self.allData.integration['Product'].apply(lambda x:str(x)+'-' ) +self.allData.integration['Pack']
to_add_items_prob=self.allData.integration_probiotici['Material'].apply(lambda x:str(x)+'-' )+self.allData.integration_probiotici['QlikProduct']
list_w.addItems(list(to_add_items))
list_w.addItems(list(to_add_items_prob))
list_w.itemClicked.connect(self.plot_diagram)
list_w.resize(400,600)
self.resize(400,600)
self.show()
def initUI(self):
self.setWindowTitle(self.title)
list_w = QListWidget(self)
self.market_data = ldl.load_market_data()
self.perimeter = ldl.load_market_perimeter_doc()
market_data_sandoz = self.market_data[
(self.market_data['Manufacturer'] == 'SANDOZ')
& (self.market_data['01/9/2018'] != 0) &
(self.market_data['01/10/2018'] != 0) &
(self.market_data['01/11/2018'] != 0)]
to_add_items = (market_data_sandoz['Product'] + ' ' +
market_data_sandoz['Pack'])
list_w.addItems(list(to_add_items.sort_values()))
list_w.itemClicked.connect(self.plot_diagram)
list_w.resize(400, 600)
self.resize(400, 600)
self.show()
metric_value, timestamp):
dict_to_add = dict()
dict_to_add['Material'] = material
dict_to_add['Algorithm'] = algorithm
dict_to_add['Series'] = series_name
dict_to_add['Number Of Data'] = number_ofdata
dict_to_add['Metric'] = metric
dict_to_add['Metric Values'] = metric_value
dict_to_add['Timestamp'] = timestamp
return dict_to_add
warnings.filterwarnings("ignore")
sales_data, anagrafica, market_data, market_data_pb, integration_data, integration_probiotici = ldl.load_data(
)
perimeter = ldl.load_market_perimeter_doc()
lineage = ldl.load_data_lineage()
allData = ds.AllData(anagrafica, sales_data, market_data, market_data_pb,
integration_data, integration_probiotici, lineage,
perimeter)
results = []
pdq, seasonal_order = evam.get_arima_hyper_parameters()
changepoint_prior_scale_list, seasonality_prior_scale_list, fourier_order_list = evpm.get_hyper_parameter_values(
)
timestamp = str(datetime.datetime.now())
subset_sku = ['44070378']
'''list(integration_data['Material'])'''
test_window = 3
training_percentage = 0.7
last_year = True
