import pandas as pd
import matplotlib.pyplot as plt
import numpy as np

ts = pd.read_csv("final/nigeria_carbon_timeseries.csv")
comp = pd.read_csv("final/nigeria_carbon_comparison_2022.csv")

fig, axes = plt.subplots(1, 2, figsize=(15, 6.5), facecolor='#0a0e17')

# Chart 1: total vs per-capita divergence over time
ax1 = axes[0]
ax1.set_facecolor('#0a0e17')
ax1_twin = ax1.twinx()
ax1_twin.set_facecolor('#0a0e17')

l1, = ax1.plot(ts['year'], ts['co2'], color='#e8763d', linewidth=2.2, label='Total CO2 (Mt)')
l2, = ax1_twin.plot(ts['year'], ts['co2_per_capita'], color='#4a90d9', linewidth=2.2, label='Per-capita CO2 (t)')

ax1.set_title("Nigeria: Total vs Per-Capita CO2, 2000-2024", color='#e8e6dc', fontsize=13, pad=12)
ax1.set_xlabel('Year', color='#9c9a92')
ax1.set_ylabel('Total CO2 (million tonnes)', color='#e8763d')
ax1_twin.set_ylabel('Per-capita CO2 (tonnes)', color='#4a90d9')
ax1.tick_params(colors='#9c9a92')
ax1_twin.tick_params(colors='#9c9a92')
for spine in ax1.spines.values():
    spine.set_color('#3a3a36')
for spine in ax1_twin.spines.values():
    spine.set_color('#3a3a36')
ax1.legend(handles=[l1, l2], loc='upper left', facecolor='#1a1a18', edgecolor='#3a3a36', labelcolor='#e8e6dc')

# Chart 2: 2022 per-capita comparison
ax2 = axes[1]
ax2.set_facecolor('#0a0e17')
comp_sorted = comp.sort_values('co2_per_capita', ascending=True)
colors_bar = ['#e24b4a' if c == 'Nigeria' else '#4a90d9' for c in comp_sorted['country']]
bars = ax2.barh(comp_sorted['country'], comp_sorted['co2_per_capita'], color=colors_bar, alpha=0.9)
ax2.set_title('Per-Capita CO2 Emissions, 2022', color='#e8e6dc', fontsize=13, pad=12)
ax2.set_xlabel('Tonnes CO2 per person', color='#9c9a92')
ax2.tick_params(colors='#9c9a92')
for spine in ax2.spines.values():
    spine.set_color('#3a3a36')
for bar, val in zip(bars, comp_sorted['co2_per_capita']):
    ax2.text(val + 0.15, bar.get_y() + bar.get_height()/2, f'{val:.2f}',
             va='center', color='#e8e6dc', fontsize=9)

fig.suptitle('Nigeria Carbon Emissions: Real Data from Our World in Data (owid/co2-data, GitHub)',
             color='#e8e6dc', fontsize=13, y=1.02)
fig.tight_layout()
fig.savefig('final/nigeria_carbon_charts.png', dpi=170, facecolor='#0a0e17', bbox_inches='tight')
print("Charts saved")