Update app.py

app.py

@@ -1,5 +1,6 @@
 import streamlit as st
 import pandas as pd
+import seaborn as sns
 import matplotlib.pyplot as plt
 
 # Load data
@@ -43,16 +44,17 @@ db_p['date']= pd.to_datetime(db_p['date'])
 db['date'] = db['date'].dt.strftime('%Y-%m-%d')
 db_p['date'] = db_p['date'].dt.strftime('%Y-%m-%d')
 
-def plot_graph(x,y,xp,yp):
+def plot_graph(x, y, xp, yp):
     st.write("### กราฟเส้น Time Series")
     plt.figure(figsize=(10, 6))
+    sns.set(style="whitegrid")  # ตั้งค่าสไตล์กราฟของ Seaborn
     color = 'yellow' if selected_data == 'Electricity' else 'green' if selected_data == 'LPG' else 'red'
-    plt.plot(x,y,label="Actual",color=color)
-    plt.plot(xp,yp, label="Predict", color="blue")
+    sns.lineplot(x=x, y=y, label="Actual", color=color)  # ใช้ sns.lineplot() แทน plt.plot() เพื่อสร้างกราฟเส้น
+    sns.lineplot(x=xp, y=yp, label="Predict", color="blue")
     plt.xlabel("Date")
     plt.ylabel("Value")
     plt.title("Time Series")
     plt.legend()
     return st.pyplot(plt)
 
-plot_graph(db['date'],db['Y'],db_p['date'],db_p['predict'])
+plot_graph(db['date'], db['Y'], db_p['date'], db_p['predict'])