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from datetime import datetime
from fireducks_queries import utils
Q_NUM = 1
def q():
VAR1 = datetime(1998, 9, 2)
lineitem = utils.get_line_item_ds
# first call one time to cache in case we don't include the IO times
lineitem()
def query():
nonlocal lineitem
lineitem = lineitem()
lineitem_filtered = lineitem.loc[
:,
[
"l_quantity",
"l_extendedprice",
"l_discount",
"l_tax",
"l_returnflag",
"l_linestatus",
"l_shipdate",
"l_orderkey",
],
]
sel = lineitem_filtered.l_shipdate <= VAR1
lineitem_filtered = lineitem_filtered[sel]
lineitem_filtered["sum_qty"] = lineitem_filtered.l_quantity
lineitem_filtered["sum_base_price"] = lineitem_filtered.l_extendedprice
lineitem_filtered["avg_qty"] = lineitem_filtered.l_quantity
lineitem_filtered["avg_price"] = lineitem_filtered.l_extendedprice
lineitem_filtered["sum_disc_price"] = lineitem_filtered.l_extendedprice * (
1 - lineitem_filtered.l_discount
)
lineitem_filtered["sum_charge"] = (
lineitem_filtered.l_extendedprice
* (1 - lineitem_filtered.l_discount)
* (1 + lineitem_filtered.l_tax)
)
lineitem_filtered["avg_disc"] = lineitem_filtered.l_discount
lineitem_filtered["count_order"] = lineitem_filtered.l_orderkey
gb = lineitem_filtered.groupby(["l_returnflag", "l_linestatus"])
total = gb.agg(
{
"sum_qty": "sum",
"sum_base_price": "sum",
"sum_disc_price": "sum",
"sum_charge": "sum",
"avg_qty": "mean",
"avg_price": "mean",
"avg_disc": "mean",
"count_order": "count",
}
)
result_df = total.reset_index().sort_values(["l_returnflag", "l_linestatus"])
return result_df
utils.run_query(Q_NUM, query)
if __name__ == "__main__":
q()
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