Update app.py

app.py

@@ -1,30 +1,42 @@
 import streamlit as st
 import pandas as pd
 import matplotlib.pyplot as plt
-import numpy as np
 
-# Load the CSV data
-file_path = "important5years.csv"
-df = pd.read_csv(file_path)
-df.set_index("Shop Code", inplace=True)
+# Load the monthly and yearly CSV data
+monthly_file_path = "important5years.csv"
+yearly_file_path = "important-Yearwise-5years.csv"
+
+df_monthly = pd.read_csv(monthly_file_path)
+df_yearly = pd.read_csv(yearly_file_path)
 
 # Streamlit app
-st.title("5 Years of Genericart Franchises Sales Report")
-st.set_option('deprecation.showPyplotGlobalUse', False)
-# Dropdown for selecting an index
-selected_index = st.selectbox("Select an index:", df.index)
+st.title("GENERICART SALES TREND")
+
+# Dropdown for selecting an index (Shop Code)
+selected_index = st.selectbox("Select Shop Code:", df_monthly["Shop Code"].unique())
+
+# Dropdown for selecting data type
+selected_data_type = st.selectbox("Select Data Type:", ["Monthly", "Yearly"])
 
-# Submit button
+
+# Plotting
 if st.button("Submit"):
-    # Plotting
-    plt.figure(figsize=(10, 6))
-    plt.bar(df.columns, df.loc[selected_index])
-    plt.title(f"Sales Data for {selected_index}")
-    plt.xlabel("Months")
-    plt.ylabel("Sales Amount")
-    plt.xticks(rotation=90, ha="right")
-
-    # Show plot
-    st.pyplot()
-
-    
+    if selected_data_type == "Monthly":
+        df_selected = df_monthly[df_monthly["Shop Code"] == selected_index]
+        plt.figure(figsize=(10, 6))
+        plt.bar(df_selected.columns[1:], df_selected.iloc[0, 1:])
+        plt.title(f"Monthly Sales Data for Shop Code {selected_index}")
+        plt.xlabel("Months")
+        plt.ylabel("Sales Amount")
+        plt.xticks(rotation=90, ha="right")
+        st.pyplot()
+
+    elif selected_data_type == "Yearly":
+        df_selected = df_yearly[df_yearly["Shop Code"] == selected_index]
+        plt.figure(figsize=(10, 6))
+        plt.bar(df_selected.columns[1:], df_selected.iloc[0, 1:])
+        plt.title(f"Yearly Sales Data for Shop Code {selected_index}")
+        plt.xlabel("Years")
+        plt.ylabel("Sales Amount")
+        plt.xticks(rotation=90, ha="right")
+        st.pyplot()