cleaning and fix on one agent graph

tabs/agent_graphs.py

@@ -94,9 +94,15 @@ def get_weekly_average_roi(traders_data: pd.DataFrame) -> pd.DataFrame:
     # Ensure creation_date is datetime64[ns]
     # 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"])
+    # take the daily mean roi at the trader_address level
+    daily_mean_roi = (
+        local_df.groupby(["trader_address", "creation_date"])["roi"]
+        .mean()
+        .reset_index()
+    )
 
     # Aggregate ROI at the date level first
-    daily_avg = local_df.groupby("creation_date")["roi"].mean().reset_index()
+    daily_avg = daily_mean_roi.groupby("creation_date")["roi"].mean().reset_index()
 
     # Set the datetime index
     daily_avg = daily_avg.set_index("creation_date")

tabs/trader_plots.py

@@ -84,53 +84,6 @@ def get_interpretation_text() -> gr.Markdown:
     return gr.Markdown(interpretation_text)
 
 
-def plot_avg_monthly_ROI(traders_df: pd.DataFrame, market_creator: str) -> gr.Plot:
-    """Plots the average monthly ROI."""
-
-    filtered_traders_df = traders_df.copy()
-    if market_creator != "all":  # filter by market creator
-        filtered_traders_df = filtered_traders_df[
-            traders_df["market_creator"] == market_creator
-        ]
-
-    # Create the column month_year from the creation_date
-    filtered_traders_df["month_year"] = filtered_traders_df["creation_date"].apply(
-        lambda x: x.strftime("%Y-%m")
-    )
-    # Compute the average monthly ROI per trader
-
-    monthly_avg_roi_traders = (
-        filtered_traders_df.groupby(["month_year", "trader_address"])["roi"]
-        .mean()
-        .reset_index(name="avg_roi")
-    )
-
-    # Plot the mean value per month in monthly_avg_roi_traders
-    total_monthly_avg_roi = (
-        monthly_avg_roi_traders.groupby("month_year")["avg_roi"]
-        .mean()
-        .reset_index(name="avg_roi")
-    )
-
-    fig = px.line(
-        total_monthly_avg_roi,
-        x="month_year",
-        y="avg_roi",
-    )
-
-    fig.update_layout(
-        xaxis_title="Month-Year",
-        yaxis_title="Average monthly ROI (net profit/cost)",
-    )
-    fig.update_xaxes(
-        tickvals=total_monthly_avg_roi["month_year"].tolist(),  # Set x-axis tick values
-        tickformat="%Y-%m",
-    )
-    return gr.Plot(
-        value=fig,
-    )
-
-
 def plot_trader_metrics_by_market_creator(
     metric_name: str, traders_df: pd.DataFrame
 ) -> gr.Plot: