update for internal data struct changes

app.py

@@ -185,9 +185,12 @@ def drop_frac_cents(d):
     D = np.floor(100*d)/100
     return D
 def load_data(filename, account, exchange, otimeheader, fmat):
-    cols = ['id','datetime', 'exchange', 'subaccount', 'pair', 'side', 'action', 'amount', 'price', 'errors']
-    old_df = pd.read_csv("history-old.csv", header = 0, names= cols)
-    df = pd.read_csv(filename, header = 0, names= cols)
+    cols1 = ['id','datetime', 'exchange', 'subaccount', 'pair', 'side', 'action', 'amount', 'price', 'errors']
+    cols2 = ['id','datetime', 'exchange', 'subaccount', 'pair', 'side', 'action', 'amount', 'price', 'errors', 'P/L', 'P/L %','exit price', 'Lev']
+    old_df = pd.read_csv("history-old.csv", header = 0, names= cols1)
+    df = pd.read_csv(filename, header = 0, names= cols2)
+    df.loc[df['exit price'] > 0, 'price'] = df.loc[df['exit price'] > 0, 'exit price']
+    
     df = pd.concat([old_df, df], ignore_index=True)
     
     filtdf = df[(df.exchange == exchange) & (df.subaccount == account)].dropna()