updating the weekly graph of number of trades for stacked version

tabs/trades.py

@@ -188,38 +188,40 @@ def integrated_plot_trades_per_market_by_week_v2(trades_df: pd.DataFrame) -> gr.
     # Combine the traces
     final_traces = []
     market_colors = {"pearl": "darkviolet", "quickstart": "goldenrod", "all": "green"}
-    # First add 'agent' traces
+    market_darker_colors = {
+        "pearl": "purple",
+        "quickstart": "darkgoldenrod",
+        "all": "darkgreen",
+    }
+
+    # Process both agent and non-agent traces for each market together
     for market in ["pearl", "quickstart", "all"]:
         market_data = trades[trades["market_creator"] == market]
+
+        # First add 'agent' trace
         agent_data = market_data[market_data["staking_type"] == "agent"]
-        trace = go.Bar(
+        agent_trace = go.Bar(
             x=agent_data["month_year_week"],
             y=agent_data["trades"],
             name=f"{market}-agent",
             marker_color=market_colors[market],
-            offsetgroup=market,
+            offsetgroup=market,  # Keep the market grouping
             showlegend=True,
         )
-        final_traces.append(trace)
 
-    # Then add 'non_agent' traces
-    market_darker_colors = {
-        "pearl": "purple",
-        "quickstart": "darkgoldenrod",
-        "all": "darkgreen",
-    }
-    for market in ["pearl", "quickstart", "all"]:
-        market_data = trades[trades["market_creator"] == market]
+        # Then add 'non_agent' trace with base set to agent values
         non_agent_data = market_data[market_data["staking_type"] == "non_agent"]
-        trace = go.Bar(
+        non_agent_trace = go.Bar(
             x=non_agent_data["month_year_week"],
             y=non_agent_data["trades"],
             name=f"{market}-non_agent",
             marker_color=market_darker_colors[market],
-            offsetgroup=market,
+            offsetgroup=market,  # Keep the market grouping
+            base=agent_data["trades"],  # Stack on top of agent trace
             showlegend=True,
         )
-        final_traces.append(trace)
+
+        final_traces.extend([agent_trace, non_agent_trace])
 
     # Create new figure with the combined traces
     fig = go.Figure(data=final_traces)