def update_total_cups_sold(start_date, end_date, select_type_2):
select_type_2 = select_type_2 if isinstance(select_type_2,
list) else [select_type_2]
df3 = df.loc[start_date:end_date]
filt = df3.loc[df3['Item'].isin(select_type_2)]
cups_sold = filt['Qty'].sum()
#cups_sold = df3.loc[filt, 'Qty'].sum()
#cups_sold = df3.groupby([df3['Item'].isin(select_type_2)])['Qty'].sum()
return thousands(cups_sold)
def update_total_product_revenues(start_date, end_date, select_type_2):
select_type_2 = select_type_2 if isinstance(select_type_2,
list) else [select_type_2]
df3 = df.loc[start_date:end_date]
filt = df3.loc[df3['Item'].isin(select_type_2)]
sales_revenue = filt['Revenue'].sum()
#sales_revenue = df3.loc[filt, 'Revenue'].sum()
#sales_revenue = df3.groupby([df3['Item'].isin(select_type_2)])['Revenue'].sum()
return thousands(sales_revenue)
def update_fixed(start_date, end_date):
df3 = df2.loc[start_date:end_date]
filt = (df3['Type'] == 'Fixed Cost')
total_fixed_costs = df3.loc[filt, 'Costs'].sum()
return thousands(total_fixed_costs)
def update_marketing(start_date, end_date):
df3 = df2.loc[start_date:end_date]
filt = (df3['Type'] == 'Marketing')
total_marketing_costs = df3.loc[filt, 'Costs'].sum()
return thousands(total_marketing_costs)
def update_variable(start_date, end_date):
df3 = df2.loc[start_date:end_date]
filt = (df3['Type'] == 'Variable Cost')
total_variable_costs = df3.loc[filt, 'Costs'].sum()
return thousands(total_variable_costs)
def update_ingredients(start_date, end_date):
df3 = df2.loc[start_date:end_date]
filt = (df3['Type'] == 'Ingredients')
total_ingredients_costs = df3.loc[filt, 'Costs'].sum()
return thousands(total_ingredients_costs)
def update_profit(start_date, end_date):
df3 = df.loc[start_date:end_date]
df4 = df2.loc[start_date:end_date]
total_profit = (df3['Revenue'].sum() - df4['Costs'].sum())
return thousands(total_profit)
def update_cups(start_date, end_date):
df3 = df.loc[start_date:end_date]
total_cups_sold = df3['Qty'].sum()
return thousands(total_cups_sold)
def update_cost(start_date, end_date):
df3 = df2.loc[start_date:end_date]
total_cost = df3['Costs'].sum()
return thousands(total_cost)
def update_sales(start_date, end_date):
df3 = df.loc[start_date:end_date]
sales_revenue = df3['Revenue'].sum()
return thousands(sales_revenue)
