updated graphs after missing non_Olas group

tabs/retention_plots.py

@@ -31,7 +31,7 @@ def plot_wow_retention_by_type(wow_retention):
             yanchor="middle",
             y=0.5,
             xanchor="left",
-            x=1.02,  # Move legend outside
+            x=0.99,
             orientation="v",
         ),
         yaxis=dict(
@@ -42,7 +42,9 @@ def plot_wow_retention_by_type(wow_retention):
             ],  # Add 10% padding to y-axis
         ),
         xaxis=dict(tickformat="%Y-%m-%d"),
-        margin=dict(r=150),  # Add right margin to make space for legend
+        margin=dict(r=200),  # Adjusted margins
+        width=600,  # Set explicit width
+        height=500,  # Set explicit height
     )
 
     # Add hover template

tabs/trader_plots.py

@@ -302,20 +302,12 @@ def plot_total_bet_amount(
 
 
 def plot_active_traders(
-    traders_data: pd.DataFrame,
-    unknown_traders: pd.DataFrame,
+    active_traders_data: pd.DataFrame,
     market_creator: str = None,
 ):
     """Function to plot the volume of active traders for the different categories and markets"""
-    traders_data["trader_type"] = traders_data["staking"].apply(
-        lambda x: "non_Olas" if x == "non_Olas" else "Olas"
-    )
-    filtered_traders_data = traders_data
-    if len(unknown_traders) > 0:
-        # merge
-        unknown_traders["trader_type"] = "unknown"
-        filtered_traders_data = pd.concat([traders_data, unknown_traders], axis=0)
 
+    filtered_traders_data = active_traders_data.copy()
     if market_creator is not None:
         filtered_traders_data = filtered_traders_data.loc[
             filtered_traders_data["market_creator"] == market_creator