app.py

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

data = pd.read_csv('solar_power_data.csv')
data['datetime'] = pd.to_datetime(data[['year', 'month', 'day', 'hour']])
data = data.set_index('datetime')
data = data.drop(columns=['year', 'month', 'day', 'hour'])

months = range(1, 13)
years = sorted(data.index.year.unique())

st.title('Solar Power Generation Data')

selected_year = st.sidebar.selectbox('Select Year', years)
selected_month = st.sidebar.selectbox('Select Month', months)

month_data = data[(data.index.year == selected_year) & (data.index.month == selected_month)]

st.subheader(f'Solar Power Generation for {selected_year} - Month {selected_month:02d}')

plt.figure(figsize=(14, 7))
fig, ax = plt.subplots(figsize=(14, 7))
fig.patch.set_facecolor('black')
ax.set_facecolor('black')

sns.lineplot(x=month_data.index, y=month_data['Watts_per_hr'], color='#00FF00', linewidth=2.5, ax=ax)

ax.set_title(f'Solar Power Generation for {selected_year} - Month {selected_month:02d}', fontsize=18, weight='bold', color='white')
ax.set_xlabel('Date', fontsize=14, color='white')
ax.set_ylabel('Watts per Hour', fontsize=14, color='white')
ax.tick_params(axis='both', colors='white')
ax.grid(True, linestyle='--', alpha=0.7, color='gray')

sns.despine()
plt.xticks(rotation=45)
plt.tight_layout()

st.pyplot(fig)

st.subheader('Data Table')
st.write(month_data)