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app.py

@@ -92,13 +92,16 @@ async def get_wallet_balances(addresses):
         df['tokenBalance'] = pd.to_numeric(df['tokenBalance'], errors='coerce')
         df['currentPrice'] = pd.to_numeric(df['currentPrice'], errors='coerce')
         df['value'] = df['tokenBalance'] * df['currentPrice']
-        df.drop(columns=['address','decimals'],inplace=True)
+        df.drop(columns=['decimals'],inplace=True)
 
         df = df[df['symbol'].isin(['BLUP', 'ETH', 'USDT', 'USDC'])]
-        df= df[['symbol','tokenBalance','value']]
+        df= df[['address','symbol','tokenBalance','value']]
         df = df.rename(columns={'tokenBalance':'amount','value':'usd_value'})
-        
-        df = df.groupby("symbol", as_index=False).sum()
+
+        df = df.sort_values(['address', 'symbol'])
+        df['address'] = df['address'].mask(df['address'].duplicated()).fillna('')
+
+        #df = df.groupby("symbol", as_index=False).sum()
 
         return df, df['usd_value'].sum()
 
@@ -135,6 +138,7 @@ async def get_all_dfs():
     wallet_df, wallet_total = await get_wallet_balances(addresses)
     lp_df, lp_total = await get_lp_balances()
     final_df = pd.concat([wallet_df,lp_df],axis=0)
+    final_df.drop(columns=['address'],inplace=True)
     final_df = final_df.groupby("symbol", as_index=False).sum()
     starting_df = pd.DataFrame([{"symbol":"ETH","amount":24,"usd_value":1613*24}])
     pnl = final_df['usd_value'].sum() - starting_df['usd_value'].sum()