Last active
October 4, 2021 13:47
-
-
Save melissakou/85283a6d0f0a84b09b58a0e3667cc592 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
sales = spark.read.option("header", True).csv("sales_train_evaluation.csv") | |
# select d_1~d_100 and turn into long format | |
cols = ["d_" + str(i) for i in range(1, 100)] | |
sales = sales \ | |
.selectExpr("id", "item_id", "dept_id", "cat_id", "store_id", "state_id", | |
"stack({}, {}) as (d, amount)".format(len(cols), ', '.join(("'{}', {}".format(i, i) for i in cols)))) | |
# group by state_id | |
groupby_state = sales \ | |
.groupBy("state_id") \ | |
.agg(F.sum("amount").alias('amt_tot')) \ | |
.orderBy(F.col("amt_tot").desc()) | |
groupby_state.show() | |
# group by store_id | |
groupby_store = sales \ | |
.groupBy("store_id") \ | |
.agg(F.sum("amount").alias('amt_tot')) \ | |
.orderBy(F.col("amt_tot").desc()) | |
groupby_store.show() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment