fixed groupby to group_by

app.py

@@ -150,7 +150,7 @@ def bench_filter(df: pd.DataFrame, repeats=3):
 
 def bench_groupby(df: pd.DataFrame, repeats=3):
     def p_op():
-        _ = df.groupby("category")[["value1", "value2"]].mean()
+        _ = df.group_by("category")[["value1", "value2"]].mean()
 
     p_stats = time_function(p_op, repeats)
 
@@ -158,7 +158,7 @@ def bench_groupby(df: pd.DataFrame, repeats=3):
     if HAS_POLARS:
         pl_df = pl.from_pandas(df)
         def pl_op():
-            _ = pl_df.groupby("category").agg([pl.col("value1").mean(), pl.col("value2").mean()]).to_pandas()
+            _ = pl_df.group_by("category").agg([pl.col("value1").mean(), pl.col("value2").mean()]).to_pandas()
         pl_stats = time_function(pl_op, repeats)
 
     fd_stats = None
@@ -166,7 +166,7 @@ def bench_groupby(df: pd.DataFrame, repeats=3):
         try:
             fd_df = ensure_fireducks_from_pandas(df)
             def fd_op():
-                res = fd_df.groupby("category")[["value1", "value2"]].mean()
+                res = fd_df.group_by("category")[["value1", "value2"]].mean()
                 _ = materialize_fireducks(res)
             fd_stats = time_function(fd_op, repeats)
         except Exception: