| import datetime |
|
|
| import modin.pandas as pd |
|
|
| from modin_queries import utils |
|
|
| Q_NUM = 6 |
|
|
|
|
| def q(): |
| date1 = datetime.datetime.strptime("1994-01-01", "%Y-%m-%d") |
| date2 = datetime.datetime.strptime("1995-01-01", "%Y-%m-%d") |
| var3 = 24 |
|
|
| line_item_ds = utils.get_line_item_ds |
|
|
| |
| line_item_ds() |
|
|
| def query(): |
| nonlocal line_item_ds |
| line_item_ds = line_item_ds() |
|
|
| lineitem_filtered = line_item_ds.loc[ |
| :, ["l_quantity", "l_extendedprice", "l_discount", "l_shipdate"] |
| ] |
| sel = ( |
| (lineitem_filtered.l_shipdate >= date1) |
| & (lineitem_filtered.l_shipdate < date2) |
| & (lineitem_filtered.l_discount >= 0.05) |
| & (lineitem_filtered.l_discount <= 0.07) |
| & (lineitem_filtered.l_quantity < var3) |
| ) |
|
|
| flineitem = lineitem_filtered[sel] |
| result_value = (flineitem.l_extendedprice * flineitem.l_discount).sum() |
| result_df = pd.DataFrame({"revenue": [result_value]}) |
| return result_df |
|
|
| utils.run_query(Q_NUM, query) |
|
|
|
|
| if __name__ == "__main__": |
| q() |
|
|
