Update app.py

app.py

@@ -1,6 +1,7 @@
 import streamlit as st
 import pandas as pd
 import numpy as np
+import matplotlib.pyplot as plt
 
 # Set page layout to wide
 st.set_page_config(layout="wide")
@@ -24,9 +25,9 @@ kpi4_percentage = df['Profit'].iloc[-1]/df['Profit'].iloc[-2]-1
 # Existing metric cards code
 col1, col2, col3, col4 = st.columns(4)
 col1.metric("Market Share", kpi1_value, kpi1_percentage)
-col2.metric("Revenue", kpi2_value, kpi1_percentage)
-col3.metric("Cost", kpi3_value, kpi1_percentage)
-col4.metric("Profit", kpi4_value, kpi1_percentage)
+col2.metric("Revenue", kpi2_value, kpi2_percentage)
+col3.metric("Cost", kpi3_value, kpi3_percentage)
+col4.metric("Profit", kpi4_value, kpi4_percentage)
 
 # Fake data for the bar charts
 data1 = pd.DataFrame({
@@ -57,7 +58,14 @@ col1, col2 = st.columns(2)
 
 with col1:
     st.write("Kuch tho bhi1")
-    st.bar_chart(data1.set_index('QTR'), height=chart_height)
+    # Plotting with Matplotlib
+    fig, ax = plt.subplots()
+    df['Overall Revenue Growth'].plot(kind='bar', ax=ax)
+    ax.set_title('Overall Revenue Growth for the Last 4 Quarters')
+    ax.set_ylabel('Overall Revenue Growth (%)')
+    
+    # Display the plot in the Streamlit app
+    st.pyplot(fig)
 
 with col2:
     st.write("Kuch tho bhi1")