fixing Agents ROI graph

tabs/agent_graphs.py

@@ -117,19 +117,30 @@ def plot_rolling_average_roi(
 
 def get_twoweeks_rolling_average_roi(traders_data: pd.DataFrame) -> pd.DataFrame:
     """Function to get the 2-week rolling average of the ROI by market_creator and total"""
-
-    # Aggregate ROI at the date level
-    daily_avg = traders_data.groupby("creation_date")["roi"].mean().reset_index()
+    
+    # Create a copy to avoid SettingWithCopyWarning
+    local_df = traders_data.copy()
+    
     # Ensure creation_date is datetime64[ns]
-    daily_avg["creation_date"] = pd.to_datetime(daily_avg["creation_date"])
+    # Since creation_date comes from .dt.date, it's a date object, not datetime
+    local_df["creation_date"] = pd.to_datetime(local_df["creation_date"])
+    
+    # Aggregate ROI at the date level
+    daily_avg = local_df.groupby("creation_date")["roi"].mean().reset_index()
+    
+    # Set the datetime index
     daily_avg = daily_avg.set_index("creation_date")
-    # Now resample and rolling
+    
+    # Now resample and rolling average
     weekly_avg = daily_avg.resample("W").mean()
     rolling_avg = weekly_avg.rolling(window=2).mean().reset_index()
-
-    rolling_avg.rename(columns={"roi": "rolling_avg_roi"}, inplace=True)
-    # Optionally, rename the date column for clarity
-    rolling_avg.rename(columns={"creation_date": "month_year_week"}, inplace=True)
+    
+    # Rename columns
+    rolling_avg.rename(columns={
+        "roi": "rolling_avg_roi",
+        "creation_date": "month_year_week"
+    }, inplace=True)
+    
     return rolling_avg