DW.get_sales_plan (eng) - datawizio/pythonAPI GitHub Wiki
Parameters
date: datetime, str {"%Y-%m"}
category: int
id of the category used for receiving results
shops: int, list
id of the shop or a list of ids that will be used for selection
{'qty': quantity of sales,
'turnover': turnover,
'receipts_qty': quantity of receipts
}
type of table
show: str, {'id', 'name', 'both'}
type of results output for named columns
on: str {'category', 'shops'}
the parameter determines the character of results grouping (by categories or by shops)
Returns
Returns object 'DataFrame' in the formatfor on="shops"
diff | diff_percent | estimate | predicted | real | shop |
<data> | <data> | <data> | <data> | <data> | <data> |
<data> | <data> | <data> | <data> | <data> | <data> |
... | |||||
<data> | <data> | <data> | <data> | <data> | <data> |
for on="category"
category | diff | diff_percent | estimate | predicted | real | shop |
<data> | <data> | <data> | <data> | <data> | <data> | <data> |
<data> | <data> | <data> | <data> | <data> | <data> | <data> |
... | ||||||
<data> | <data> | <data> | <data> | <data> | <data> | <data> |
Examples
dw = datawiz.DW()
dw.get_lost_sales(category = 68805,
shops = [601, 641],
date = datetime.date(2015, 8, 1),
)
Returns data about sales plans for the category 68805
in the period of August 2015
for shops [601, 641]
,