Address Polars deprecation warnings / modernize syntax

polars_queries/q1.py

@@ -12,28 +12,26 @@ def q():
     q = utils.get_line_item_ds()
     q_final = (
         q.filter(pl.col("l_shipdate") <= var_1)
-        .group_by(["l_returnflag", "l_linestatus"])
+        .group_by("l_returnflag", "l_linestatus")
         .agg(
-            [
-                pl.sum("l_quantity").alias("sum_qty"),
-                pl.sum("l_extendedprice").alias("sum_base_price"),
-                (pl.col("l_extendedprice") * (1 - pl.col("l_discount")))
-                .sum()
-                .alias("sum_disc_price"),
-                (
-                    pl.col("l_extendedprice")
-                    * (1.0 - pl.col("l_discount"))
-                    * (1.0 + pl.col("l_tax"))
-                )
-                .sum()
-                .alias("sum_charge"),
-                pl.mean("l_quantity").alias("avg_qty"),
-                pl.mean("l_extendedprice").alias("avg_price"),
-                pl.mean("l_discount").alias("avg_disc"),
-                pl.count().alias("count_order"),
-            ],
+            pl.sum("l_quantity").alias("sum_qty"),
+            pl.sum("l_extendedprice").alias("sum_base_price"),
+            (pl.col("l_extendedprice") * (1 - pl.col("l_discount")))
+            .sum()
+            .alias("sum_disc_price"),
+            (
+                pl.col("l_extendedprice")
+                * (1.0 - pl.col("l_discount"))
+                * (1.0 + pl.col("l_tax"))
+            )
+            .sum()
+            .alias("sum_charge"),
+            pl.mean("l_quantity").alias("avg_qty"),
+            pl.mean("l_extendedprice").alias("avg_price"),
+            pl.mean("l_discount").alias("avg_disc"),
+            pl.len().alias("count_order"),
         )
-        .sort(["l_returnflag", "l_linestatus"])
+        .sort("l_returnflag", "l_linestatus")
     )
 
     utils.run_query(Q_NUM, q_final)

polars_queries/q10.py

@@ -23,38 +23,32 @@ def q():
         .filter(pl.col("o_orderdate").is_between(var_1, var_2, closed="left"))
         .filter(pl.col("l_returnflag") == "R")
         .group_by(
-            [
-                "c_custkey",
-                "c_name",
-                "c_acctbal",
-                "c_phone",
-                "n_name",
-                "c_address",
-                "c_comment",
-            ]
+            "c_custkey",
+            "c_name",
+            "c_acctbal",
+            "c_phone",
+            "n_name",
+            "c_address",
+            "c_comment",
         )
         .agg(
-            [
-                (pl.col("l_extendedprice") * (1 - pl.col("l_discount")))
-                .sum()
-                .round(2)
-                .alias("revenue")
-            ]
+            (pl.col("l_extendedprice") * (1 - pl.col("l_discount")))
+            .sum()
+            .round(2)
+            .alias("revenue")
         )
         .with_columns(
             pl.col("c_address").str.strip_chars(), pl.col("c_comment").str.strip_chars()
         )
         .select(
-            [
-                "c_custkey",
-                "c_name",
-                "revenue",
-                "c_acctbal",
-                "n_name",
-                "c_address",
-                "c_phone",
-                "c_comment",
-            ]
+            "c_custkey",
+            "c_name",
+            "revenue",
+            "c_acctbal",
+            "n_name",
+            "c_address",
+            "c_phone",
+            "c_comment",
         )
         .sort(by="revenue", descending=True)
         .limit(20)

polars_queries/q11.py

@@ -34,7 +34,7 @@ def q():
         .with_columns(pl.lit(1).alias("lit"))
         .join(res_2, on="lit")
         .filter(pl.col("value") > pl.col("tmp"))
-        .select(["ps_partkey", "value"])
+        .select("ps_partkey", "value")
         .sort("value", descending=True)
     )
 

polars_queries/q12.py

@@ -23,19 +23,17 @@ def q():
         .filter(pl.col("l_shipdate") < pl.col("l_commitdate"))
         .filter(pl.col("l_receiptdate").is_between(var_3, var_4, closed="left"))
         .with_columns(
-            [
-                pl.when(pl.col("o_orderpriority").is_in(["1-URGENT", "2-HIGH"]))
-                .then(1)
-                .otherwise(0)
-                .alias("high_line_count"),
-                pl.when(pl.col("o_orderpriority").is_in(["1-URGENT", "2-HIGH"]).not_())
-                .then(1)
-                .otherwise(0)
-                .alias("low_line_count"),
-            ]
+            pl.when(pl.col("o_orderpriority").is_in(["1-URGENT", "2-HIGH"]))
+            .then(1)
+            .otherwise(0)
+            .alias("high_line_count"),
+            pl.when(pl.col("o_orderpriority").is_in(["1-URGENT", "2-HIGH"]).not_())
+            .then(1)
+            .otherwise(0)
+            .alias("low_line_count"),
         )
         .group_by("l_shipmode")
-        .agg([pl.col("high_line_count").sum(), pl.col("low_line_count").sum()])
+        .agg(pl.col("high_line_count").sum(), pl.col("low_line_count").sum())
         .sort("l_shipmode")
     )
 

polars_queries/q13.py

@@ -20,9 +20,9 @@ def q():
         .group_by("c_custkey")
         .agg(pl.col("o_orderkey").count().alias("c_count"))
         .group_by("c_count")
-        .count()
-        .select([pl.col("c_count"), pl.col("count").alias("custdist")])
-        .sort(["custdist", "c_count"], descending=[True, True])
+        .len()
+        .select(pl.col("c_count"), pl.col("len").alias("custdist"))
+        .sort(by=["custdist", "c_count"], descending=[True, True])
     )
 
     utils.run_query(Q_NUM, q_final)

polars_queries/q14.py

@@ -21,7 +21,7 @@ def q():
             (
                 100.00
                 * pl.when(pl.col("p_type").str.contains("PROMO*"))
-                .then((pl.col("l_extendedprice") * (1 - pl.col("l_discount"))))
+                .then(pl.col("l_extendedprice") * (1 - pl.col("l_discount")))
                 .otherwise(0)
                 .sum()
                 / (pl.col("l_extendedprice") * (1 - pl.col("l_discount"))).sum()

polars_queries/q15.py

@@ -24,14 +24,14 @@ def q():
             .sum()
             .alias("total_revenue")
         )
-        .select([pl.col("l_suppkey").alias("supplier_no"), pl.col("total_revenue")])
+        .select(pl.col("l_suppkey").alias("supplier_no"), pl.col("total_revenue"))
     )
 
     q_final = (
         supplier_ds.join(revenue_ds, left_on="s_suppkey", right_on="supplier_no")
         .filter(pl.col("total_revenue") == pl.col("total_revenue").max())
         .with_columns(pl.col("total_revenue").round(2))
-        .select(["s_suppkey", "s_name", "s_address", "s_phone", "total_revenue"])
+        .select("s_suppkey", "s_name", "s_address", "s_phone", "total_revenue")
         .sort("s_suppkey")
     )
 

polars_queries/q16.py

@@ -23,8 +23,8 @@ def q():
         .filter(pl.col("p_size").is_in([49, 14, 23, 45, 19, 3, 36, 9]))
         .join(supplier_ds, left_on="ps_suppkey", right_on="s_suppkey", how="left")
         .filter(pl.col("ps_suppkey_right").is_null())
-        .group_by(["p_brand", "p_type", "p_size"])
-        .agg([pl.col("ps_suppkey").n_unique().alias("supplier_cnt")])
+        .group_by("p_brand", "p_type", "p_size")
+        .agg(pl.col("ps_suppkey").n_unique().alias("supplier_cnt"))
         .sort(
             by=["supplier_cnt", "p_brand", "p_type", "p_size"],
             descending=[True, False, False, False],

polars_queries/q17.py

@@ -21,7 +21,7 @@ def q():
     q_final = (
         res_1.group_by("p_partkey")
         .agg((0.2 * pl.col("l_quantity").mean()).alias("avg_quantity"))
-        .select([pl.col("p_partkey").alias("key"), pl.col("avg_quantity")])
+        .select(pl.col("p_partkey").alias("key"), pl.col("avg_quantity"))
         .join(res_1, left_on="key", right_on="p_partkey")
         .filter(pl.col("l_quantity") < pl.col("avg_quantity"))
         .select((pl.col("l_extendedprice").sum() / 7.0).round(2).alias("avg_yearly"))

polars_queries/q18.py

@@ -16,23 +16,21 @@ def q():
         line_item_ds.group_by("l_orderkey")
         .agg(pl.col("l_quantity").sum().alias("sum_quantity"))
         .filter(pl.col("sum_quantity") > var_1)
-        .select([pl.col("l_orderkey").alias("key"), pl.col("sum_quantity")])
+        .select(pl.col("l_orderkey").alias("key"), pl.col("sum_quantity"))
         .join(orders_ds, left_on="key", right_on="o_orderkey")
         .join(line_item_ds, left_on="key", right_on="l_orderkey")
         .join(customer_ds, left_on="o_custkey", right_on="c_custkey")
         .group_by("c_name", "o_custkey", "key", "o_orderdate", "o_totalprice")
         .agg(pl.col("l_quantity").sum().alias("col6"))
         .select(
-            [
-                pl.col("c_name"),
-                pl.col("o_custkey").alias("c_custkey"),
-                pl.col("key").alias("o_orderkey"),
-                pl.col("o_orderdate").alias("o_orderdat"),
-                pl.col("o_totalprice"),
-                pl.col("col6"),
-            ]
+            pl.col("c_name"),
+            pl.col("o_custkey").alias("c_custkey"),
+            pl.col("key").alias("o_orderkey"),
+            pl.col("o_orderdate").alias("o_orderdat"),
+            pl.col("o_totalprice"),
+            pl.col("col6"),
         )
-        .sort(["o_totalprice", "o_orderdat"], descending=[True, False])
+        .sort(by=["o_totalprice", "o_orderdat"], descending=[True, False])
         .limit(100)
     )
 

polars_queries/q2.py

@@ -39,19 +39,15 @@ def q():
 
     q_final = (
         result_q1.group_by("p_partkey")
-        .agg(pl.min("ps_supplycost").alias("ps_supplycost"))
-        .join(
-            result_q1,
-            left_on=["p_partkey", "ps_supplycost"],
-            right_on=["p_partkey", "ps_supplycost"],
-        )
+        .agg(pl.min("ps_supplycost"))
+        .join(result_q1, on=["p_partkey", "ps_supplycost"])
         .select(final_cols)
         .sort(
             by=["s_acctbal", "n_name", "s_name", "p_partkey"],
             descending=[True, False, False, False],
         )
         .limit(100)
-        .with_columns(pl.col(pl.datatypes.Utf8).str.strip_chars().name.keep())
+        .with_columns(pl.col(pl.String).str.strip_chars().name.keep())
     )
 
     utils.run_query(Q_NUM, q_final)

polars_queries/q20.py

@@ -42,7 +42,7 @@ def q():
         .select(pl.col("ps_suppkey").unique())
         .join(res_3, left_on="ps_suppkey", right_on="s_suppkey")
         .with_columns(pl.col("s_address").str.strip_chars())
-        .select(["s_name", "s_address"])
+        .select("s_name", "s_address")
         .sort("s_name")
     )
 

polars_queries/q21.py

@@ -34,7 +34,7 @@ def q():
         .filter(pl.col("n_name") == var_1)
         .filter(pl.col("o_orderstatus") == "F")
         .group_by("s_name")
-        .agg(pl.count().alias("numwait"))
+        .agg(pl.len().alias("numwait"))
         .sort(by=["numwait", "s_name"], descending=[True, False])
         .limit(100)
     )

polars_queries/q22.py

@@ -12,7 +12,7 @@ def q():
     res_1 = (
         customer_ds.with_columns(pl.col("c_phone").str.slice(0, 2).alias("cntrycode"))
         .filter(pl.col("cntrycode").str.contains("13|31|23|29|30|18|17"))
-        .select(["c_acctbal", "c_custkey", "cntrycode"])
+        .select("c_acctbal", "c_custkey", "cntrycode")
     )
 
     res_2 = (
@@ -33,10 +33,8 @@ def q():
         .filter(pl.col("c_acctbal") > pl.col("avg_acctbal"))
         .group_by("cntrycode")
         .agg(
-            [
-                pl.col("c_acctbal").count().alias("numcust"),
-                pl.col("c_acctbal").sum().round(2).alias("totacctbal"),
-            ]
+            pl.col("c_acctbal").count().alias("numcust"),
+            pl.col("c_acctbal").sum().round(2).alias("totacctbal"),
         )
         .sort("cntrycode")
     )

polars_queries/q3.py

@@ -24,15 +24,13 @@ def q():
         .with_columns(
             (pl.col("l_extendedprice") * (1 - pl.col("l_discount"))).alias("revenue")
         )
-        .group_by(["o_orderkey", "o_orderdate", "o_shippriority"])
-        .agg([pl.sum("revenue")])
+        .group_by("o_orderkey", "o_orderdate", "o_shippriority")
+        .agg(pl.sum("revenue"))
         .select(
-            [
-                pl.col("o_orderkey").alias("l_orderkey"),
-                "revenue",
-                "o_orderdate",
-                "o_shippriority",
-            ]
+            pl.col("o_orderkey").alias("l_orderkey"),
+            "revenue",
+            "o_orderdate",
+            "o_shippriority",
         )
         .sort(by=["revenue", "o_orderdate"], descending=[True, False])
         .limit(10)

polars_queries/q4.py

@@ -20,9 +20,9 @@ def q():
         .filter(pl.col("l_commitdate") < pl.col("l_receiptdate"))
         .unique(subset=["o_orderpriority", "l_orderkey"])
         .group_by("o_orderpriority")
-        .agg(pl.count().alias("order_count"))
-        .sort(by="o_orderpriority")
-        .with_columns(pl.col("order_count").cast(pl.datatypes.Int64))
+        .agg(pl.len().alias("order_count"))
+        .sort("o_orderpriority")
+        .with_columns(pl.col("order_count").cast(pl.Int64))
     )
 
     utils.run_query(Q_NUM, q_final)

polars_queries/q5.py

@@ -35,7 +35,7 @@ def q():
             (pl.col("l_extendedprice") * (1 - pl.col("l_discount"))).alias("revenue")
         )
         .group_by("n_name")
-        .agg([pl.sum("revenue")])
+        .agg(pl.sum("revenue"))
         .sort(by="revenue", descending=True)
     )
 

polars_queries/q6.py

@@ -23,7 +23,7 @@ def q():
         .with_columns(
             (pl.col("l_extendedprice") * pl.col("l_discount")).alias("revenue")
         )
-        .select(pl.sum("revenue").alias("revenue"))
+        .select(pl.sum("revenue"))
     )
 
     utils.run_query(Q_NUM, q_final)

polars_queries/q7.py

@@ -47,8 +47,8 @@ def q():
             (pl.col("l_extendedprice") * (1 - pl.col("l_discount"))).alias("volume")
         )
         .with_columns(pl.col("l_shipdate").dt.year().alias("l_year"))
-        .group_by(["supp_nation", "cust_nation", "l_year"])
-        .agg([pl.sum("volume").alias("revenue")])
+        .group_by("supp_nation", "cust_nation", "l_year")
+        .agg(pl.sum("volume").alias("revenue"))
         .sort(by=["supp_nation", "cust_nation", "l_year"])
     )
 

polars_queries/q8.py

@@ -16,8 +16,8 @@ def q():
     nation_ds = utils.get_nation_ds()
     region_ds = utils.get_region_ds()
 
-    n1 = nation_ds.select(["n_nationkey", "n_regionkey"])
-    n2 = nation_ds.clone().select(["n_nationkey", "n_name"])
+    n1 = nation_ds.select("n_nationkey", "n_regionkey")
+    n2 = nation_ds.clone().select("n_nationkey", "n_name")
 
     q_final = (
         part_ds.join(line_item_ds, left_on="p_partkey", right_on="l_partkey")
@@ -35,13 +35,9 @@ def q():
         )
         .filter(pl.col("p_type") == "ECONOMY ANODIZED STEEL")
         .select(
-            [
-                pl.col("o_orderdate").dt.year().alias("o_year"),
-                (pl.col("l_extendedprice") * (1 - pl.col("l_discount"))).alias(
-                    "volume"
-                ),
-                pl.col("n_name").alias("nation"),
-            ]
+            pl.col("o_orderdate").dt.year().alias("o_year"),
+            (pl.col("l_extendedprice") * (1 - pl.col("l_discount"))).alias("volume"),
+            pl.col("n_name").alias("nation"),
         )
         .with_columns(
             pl.when(pl.col("nation") == "BRAZIL")