Update app.py

app.py

@@ -46,8 +46,12 @@ with st.sidebar:
 # Filter the DataFrame based on selected values
 filtered_df = df[(df['Instituição'] == selected_instituicao) & (df['Conta'] == selected_conta)]
 
+# Create two columns
+col1, col2 = st.columns(2)
+
+# Display the Forecasts values in the first column
+col1.header('Forecasts Values')
 
-#Display the Forecasts values
 if not filtered_df.empty:
     data_string = filtered_df['Forecasts'].iloc[0]
 
@@ -59,14 +63,14 @@ if not filtered_df.empty:
         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}")
+        col1.write(f"Período {period}: {monetary_value}")
 else:
-    st.warning('No data available for the selected filters.')
+    col1.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')
+# Display the Forecasts values as line plots in the second column
+col2.header('Forecasts Line Plots')
 
+if not filtered_df.empty:
     data_string = filtered_df['Forecasts'].iloc[0]
     
     # Create a list to store data for each period
@@ -89,7 +93,7 @@ if not filtered_df.empty:
     chart_data = chart_data.sort_values(by='Period')
 
     # Display line chart with "period" on X-axis and "Monetary Value" on Y-axis
-    st.line_chart(chart_data.set_index('Period'))
+    col2.line_chart(chart_data.set_index('Period'))
 
 else:
-    st.warning('No data available for the selected filters.')
+    col2.warning('No data available for the selected filters.')