|
from datetime import datetime |
|
|
|
from pandas_queries import utils |
|
|
|
Q_NUM = 3 |
|
|
|
|
|
def q(): |
|
var1 = var2 = datetime(1995, 3, 15) |
|
var3 = "BUILDING" |
|
|
|
customer_ds = utils.get_customer_ds |
|
line_item_ds = utils.get_line_item_ds |
|
orders_ds = utils.get_orders_ds |
|
|
|
|
|
customer_ds() |
|
line_item_ds() |
|
orders_ds() |
|
|
|
def query(): |
|
nonlocal customer_ds |
|
nonlocal line_item_ds |
|
nonlocal orders_ds |
|
customer_ds = customer_ds() |
|
line_item_ds = line_item_ds() |
|
orders_ds = orders_ds() |
|
|
|
lineitem_filtered = line_item_ds.loc[ |
|
:, ["l_orderkey", "l_extendedprice", "l_discount", "l_shipdate"] |
|
] |
|
orders_filtered = orders_ds.loc[ |
|
:, ["o_orderkey", "o_custkey", "o_orderdate", "o_shippriority"] |
|
] |
|
customer_filtered = customer_ds.loc[:, ["c_mktsegment", "c_custkey"]] |
|
lsel = lineitem_filtered.l_shipdate > var1 |
|
osel = orders_filtered.o_orderdate < var2 |
|
csel = customer_filtered.c_mktsegment == var3 |
|
flineitem = lineitem_filtered[lsel] |
|
forders = orders_filtered[osel] |
|
fcustomer = customer_filtered[csel] |
|
jn1 = fcustomer.merge(forders, left_on="c_custkey", right_on="o_custkey") |
|
jn2 = jn1.merge(flineitem, left_on="o_orderkey", right_on="l_orderkey") |
|
jn2["revenue"] = jn2.l_extendedprice * (1 - jn2.l_discount) |
|
|
|
total = ( |
|
jn2.groupby( |
|
["l_orderkey", "o_orderdate", "o_shippriority"], as_index=False |
|
)["revenue"] |
|
.sum() |
|
.sort_values(["revenue"], ascending=False) |
|
) |
|
result_df = total[:10].loc[ |
|
:, ["l_orderkey", "revenue", "o_orderdate", "o_shippriority"] |
|
] |
|
return result_df |
|
|
|
utils.run_query(Q_NUM, query) |
|
|
|
|
|
if __name__ == "__main__": |
|
q() |
|
|