Update app.py

app.py

@@ -2,6 +2,7 @@ import streamlit as st
 import pandas as pd
 import numpy as np
 from datetime import datetime, timedelta
+import matplotlib.pyplot as plt
 
 #st.set_page_config(layout="wide")
 
@@ -80,13 +81,23 @@ filtered_df = pd.concat(adjusted_rows)
 #col1, col2, col3 = st.columns(3) # This divides the page into three equal parts
 
 # Set custom width for columns
-col1_width = 260
-col2_width = 260
-col3_width = 260
+col1_width = 300
+col2_width = 300
+col3_width = 300
 col1, col2, col3 = st.columns([col1_width, col2_width, col3_width])
 
 # Display the Forecasts values in the first column
 col1.header('Composição da RLIT')
+labels = table_data['Conta']
+sizes = for i in table_data['Próximos 12 meses'] : (i/total_sum)*100
+
+fig1, ax1 = plt.subplots()
+ax1.pie(sizes, labels=labels, autopct='%1.1f%%',
+        shadow=True, startangle=90)
+ax1.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.
+
+col.pyplot(fig1)
+
 
 # Display the Forecasts values in the first column
 col2.header('Valores previstos')
@@ -146,8 +157,8 @@ else:
 # Display the table in the third column
 #col3 = st.columns(1)  # You can use st.columns(1) to create a single column layout
 
-col4_width = 400
-col5_width = 400
+col4_width = 450
+col5_width = 450
 col4, col5 = st.columns([col4_width, col5_width])
 
 col4.header('Realizado X Previsto')