Daily Carbon Emissions by Diet

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(42)

diets = ['Vegan', 'Vegetarian', 'Pescatarian', 'Flexitarian', 'Omnivore', 'High Meat']
co2_kg = np.array([1.5, 2.5, 3.2, 4.0, 5.5, 7.2])
variability = np.array([0.3, 0.4, 0.5, 0.6, 0.8, 1.0])

fig, ax = plt.subplots(figsize=(10, 6), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

x = np.arange(len(diets))
colors = ['#6CF527', '#27F5B0', '#27D3F5', '#F5D327', '#F5B027', '#F5276C']

bars = ax.bar(x, co2_kg, yerr=variability, capsize=6,
              color=colors, edgecolor='white', linewidth=2,
              error_kw={'ecolor': '#374151', 'elinewidth': 2, 'capthick': 2},
              alpha=0.9, width=0.65)

ax.set_xlabel('Diet Type', fontsize=12, color='#374151', fontweight='600')
ax.set_ylabel('CO₂ Emissions (kg/day)', fontsize=12, color='#374151', fontweight='600')
ax.set_title('Daily Carbon Emissions by Diet Type', fontsize=15, 
             color='#1f2937', fontweight='bold', pad=20)

ax.set_xticks(x)
ax.set_xticklabels(diets, fontsize=11, rotation=15, ha='right')
ax.tick_params(colors='#6b7280', labelsize=10)
ax.set_ylim(0, 9)
ax.grid(True, axis='y', alpha=0.4, color='#e5e7eb')
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color('#d1d5db')
ax.spines['bottom'].set_color('#d1d5db')

plt.tight_layout()
plt.show()