Update app.py

app.py

@@ -46,10 +46,6 @@ with st.sidebar:
 # Filter the DataFrame based on selected values
 filtered_df = df[(df['Instituição'] == selected_instituicao) & (df['Conta'] == selected_conta)]
 
-# Display the filtered DataFrame
-st.write('Filtered DataFrame:')
-st.write(filtered_df)
-
 #Display the Forecasts values
 if not filtered_df.empty:
     data_string = filtered_df['Forecasts'].iloc[0]
@@ -65,3 +61,29 @@ if not filtered_df.empty:
         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('Forecasts Line Plots')
+    
+    # Create a list to store data for each period
+    data = []
+
+    # 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
+        data.append({'Period': period, 'Monetary Value': num_float})
+
+    # Create a DataFrame from the list
+    chart_data = pd.DataFrame(data)
+
+    # Display line chart with "period" on X-axis and "Monetary Value" on Y-axis
+    st.line_chart(chart_data.set_index('Period'))
+
+else:
+    st.warning('No data available for the selected filters.')