app.py

import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt

# Load data
data = pd.read_csv("Graph_hugging_Y.csv")
data2 = pd.read_csv("Graph_hugging_predict.csv")


# Sidebar - เลือกปีเริ่มต้นและสิ้นสุด
start_year = st.sidebar.selectbox("เลือกปีเริ่มต้น", options=list(range(2002, 2022)))
end_year= st.sidebar.selectbox("เลือกปีสิ้นสุด", options=list(range(start_year+1, 2024)))

data['date_Y'] = pd.to_datetime(data['date_Y'])
data2['date'] = pd.to_datetime(data2['date'])
# Filter data based on the year range
filtered_data = data[(data["date_Y"].dt.year >= start_year) & (data["date_Y"].dt.year <= end_year)]
filtered_data2 = data2[(data2["date"].dt.year >= start_year) & (data2["date"].dt.year <= end_year)]
# Filter data based on selected years


# สร้างตัวเลือก Selectbox
selected_data = st.sidebar.selectbox("เลือกข้อมูลที่ต้องการโชว์",
                                     options=["ELECTRICITY", "LPG", "DIESEL"])

# Filter data based on selected data type

filtered_data = filtered_data[filtered_data["symbol"] == selected_data]
filtered_data2 = filtered_data2[filtered_data2["symbol"] == selected_data]

# Plot time series
st.write("### กราฟเส้น Time Series")
plt.figure(figsize=(10, 6))
for fuel_type, group_data in filtered_data.groupby("symbol"):
    if fuel_type == "ELECTRICITY":
        plt.plot(group_data["date_Y"], group_data["Y"], label="Actual", color="yellow")
    elif fuel_type == "LPG":
        plt.plot(group_data["date_Y"], group_data["Y"], label="Actual", color="green")
    elif fuel_type == "DIESEL":
        plt.plot(group_data["date_Y"], group_data["Y"], label="Actual", color="red")
for fuel_type,group_data in filtered_data2.groupby("symbol"):
    plt.plot(group_data["date"], group_data["predict"], label="Predict",color="blue")
plt.xlabel("Date")
plt.ylabel("Value")
plt.title("Time Series")
plt.legend()
st.pyplot(plt)