Update app.py

app.py

@@ -114,10 +114,21 @@ if not filtered_df.empty:
         # Filter the DataFrame for the current 'Conta'
         conta_df = tab_df[tab_df['Conta'] == conta]
 
-        # Assuming 'Forecasts' column contains the monetary values for each 'Conta'
-        # Convert all values in 'Forecasts' to float, sum them, and format as monetary value
-        total_value = conta_df['Forecasts'].astype(float).sum()
-        monetary_value = f'R$ {total_value:,.2f}'
+        # Initialize a variable to store the sum for the current 'Conta'
+        conta_sum = 0.0
+
+        # Iterate over each row in the filtered DataFrame for the current 'Conta'
+        for _, row in conta_df.iterrows():
+            # Split the 'Forecasts' column's multiline string into lines
+            lines = row['Forecasts'].split('\n')
+            # For each line, extract the numeric value and add it to the conta_sum
+            for line in lines:
+                if line.strip():  # Ensure the line is not empty
+                    _, value = line.split()
+                    conta_sum += float(value)
+
+        # Format the sum as a monetary value
+        monetary_value = f'R$ {conta_sum:,.2f}'
 
         # Append the sum for the current 'Conta' to the data list
         data.append({'Conta': conta, 'Valor Monetário': monetary_value})
@@ -126,7 +137,7 @@ if not filtered_df.empty:
     table_data = pd.DataFrame(data)
 
     # Calculate the grand total sum of all 'Conta' values
-    total_sum = table_data['Valor Monetário'].str.replace('R$ ', '').str.replace(',', '').astype(float).sum()
+    total_sum = sum(float(row['Valor Monetário'].replace('R$ ', '').replace(',', '')) for row in data)
 
     # Create a DataFrame for the "Total" row
     total_row = pd.DataFrame({'Conta': ['TOTAL'], 'Valor Monetário': [f'R$ {total_sum:,.2f}']})
@@ -138,4 +149,4 @@ if not filtered_df.empty:
     st.table(table_data)
 
 else:
-    col3.warning('No data available for the selected filters.')
+    col3.warning('No data available for the selected filters.')