File size: 2,328 Bytes
2eae90c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 |
import numpy as np
from vaex_queries import utils
Q_NUM = 1
import vaex.cache
def q():
VAR1 = np.datetime64("1998-09-02")
lineitem = utils.get_line_item_ds
# first call one time to cache in case we don't include the IO times
lineitem()
def query():
with vaex.cache.memory():
nonlocal lineitem
lineitem = lineitem()
lineitem_filtered = lineitem[
[
"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
total = lineitem_filtered.groupby(
["l_returnflag", "l_linestatus"],
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.sort(["l_returnflag", "l_linestatus"])
return result_df
utils.run_query(Q_NUM, query)
if __name__ == "__main__":
q()
|