fixing date format

tabs/agent_graphs.py

@@ -87,6 +87,9 @@ def plot_rolling_average_roi(
         traders_data["trader_address"].isin(unique_addresses)
     ]
     # create the date column
+    filtered_traders_data["creation_timestamp"] = pd.to_datetime(
+        filtered_traders_data["creation_timestamp"], timezone="UTC"
+    )
     filtered_traders_data["creation_date"] = filtered_traders_data[
         "creation_timestamp"
     ].dt.date
@@ -117,12 +120,16 @@ def get_twoweeks_rolling_average_roi(traders_data: pd.DataFrame) -> pd.DataFrame
 
     # Aggregate ROI at the date level
     daily_avg = traders_data.groupby("creation_date")["roi"].mean().reset_index()
+    # Ensure creation_date is datetime64[ns]
+    daily_avg["creation_date"] = pd.to_datetime(daily_avg["creation_date"])
     daily_avg = daily_avg.set_index("creation_date")
     # Now resample and rolling
     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)
     return rolling_avg