Update app.py

app.py

@@ -46,15 +46,32 @@ with st.sidebar:
 # Filter the DataFrame based on selected values
 filtered_df = df[(df['Instituição'] == selected_instituicao) & (df['Conta'] == selected_conta)]
 
-# Display the Forecasts values as line plots
+
+#Display the Forecasts values
+if not filtered_df.empty:
+    data_string = filtered_df['Forecasts'].iloc[0]
+
+    # Split the string into lines
+    lines = data_string.split('\n')
+
+    # Iterate through the lines and extract the values
+    for line in lines[:-2]:
+        period, value = line.split()
+        num_float = float(value)
+        monetary_value = f'R$ {num_float:,.2f}'  # Adding commas for thousands separator
+        st.write(f"Período {period}: {monetary_value}")
+else:
+    st.warning('No data available for the selected filters.')
+
+ Display the Forecasts values as line plots
 if not filtered_df.empty:
-    st.subheader('Gráfico com previsões')
+    st.subheader('Forecasts Line Plots')
+
+    data_string = filtered_df['Forecasts'].iloc[0]
     
     # Create a list to store data for each period
     data = []
 
-    data_string = filtered_df['Forecasts'].iloc[0]
-
     # Split the string into lines
     lines = data_string.split('\n')
 
@@ -75,4 +92,4 @@ if not filtered_df.empty:
     st.line_chart(chart_data.set_index('Period'))
 
 else:
-    st.warning('No data available for the selected filters.')
+    st.warning('No data available for the selected filters.')