diff --git a/user_guide/src/examples/time_series/__main__.py b/user_guide/src/examples/time_series/__main__.py
index cda73ef5..fc45000b 100755
--- a/user_guide/src/examples/time_series/__main__.py
+++ b/user_guide/src/examples/time_series/__main__.py
@@ -6,7 +6,6 @@
     df as parse_dates_df,
     filtered_df,
     filtered_range_df,
-    annual_average_df,
     df_with_year,
     negative_dates_filtered_df,
 )
@@ -36,9 +35,6 @@
 with open(f"{path}/parse_dates_filtered_range_df.txt", "w") as f:
     f.write(f"{filtered_range_df}\n")
 
-with open(f"{path}/parse_dates_annual_average_df.txt", "w") as f:
-    f.write(f"{annual_average_df}\n")
-
 with open(f"{path}/parse_dates_with_year.txt", "w") as f:
     f.write(f"{df_with_year}\n")
 
diff --git a/user_guide/src/examples/time_series/parsing_dates.py b/user_guide/src/examples/time_series/parsing_dates.py
index ffd72380..610cc5c5 100644
--- a/user_guide/src/examples/time_series/parsing_dates.py
+++ b/user_guide/src/examples/time_series/parsing_dates.py
@@ -11,8 +11,6 @@
     pl.col("Date").is_between(datetime(1995, 7, 1), datetime(1995, 11, 1)),
 )
 
-annual_average_df = df.groupby_dynamic("Date", every="1y").agg(pl.col("Close").mean())
-
 df_with_year = df.with_column(pl.col("Date").dt.year().alias("year"))
 
 ts = pl.Series(["-1300-05-23", "-1400-03-02"]).str.strptime(pl.Date)