Protein Intake Study Results

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(42)

# Nutrition study data
time_points = ['Week 0', 'Week 4', 'Week 8', 'Week 12', 'Week 16']
high_protein = np.array([72, 74, 75.5, 76.8, 77.5])
normal_protein = np.array([72, 72.5, 73, 73.2, 73.5])
high_err = np.array([1.5, 1.2, 1.0, 0.9, 0.8])
normal_err = np.array([1.5, 1.4, 1.3, 1.2, 1.1])

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

x = np.arange(len(time_points))

ax.errorbar(x, high_protein, yerr=high_err, fmt='o-', color='#F5276C',
            ecolor='#F5276C', elinewidth=2, capsize=5, markersize=10,
            markeredgecolor='#1f2937', linewidth=2.5, label='High Protein (2g/kg)', alpha=0.9)
ax.fill_between(x, high_protein - high_err, high_protein + high_err, 
                color='#F5276C', alpha=0.15)

ax.errorbar(x, normal_protein, yerr=normal_err, fmt='s-', color='#27D3F5',
            ecolor='#27D3F5', elinewidth=2, capsize=5, markersize=9,
            markeredgecolor='#1f2937', linewidth=2.5, label='Normal Protein (0.8g/kg)', alpha=0.9)
ax.fill_between(x, normal_protein - normal_err, normal_protein + normal_err, 
                color='#27D3F5', alpha=0.15)

ax.set_xlabel('Study Period', fontsize=11, color='#374151', fontweight='500')
ax.set_ylabel('Lean Body Mass (kg)', fontsize=11, color='#374151', fontweight='500')
ax.set_title('Protein Intake Effect on Lean Body Mass', fontsize=14, 
             color='#1f2937', fontweight='bold', pad=15)

ax.set_xticks(x)
ax.set_xticklabels(time_points)
ax.legend(facecolor='#f8fafc', edgecolor='#d1d5db', fontsize=10)
ax.tick_params(colors='#6b7280', labelsize=9)
ax.set_ylim(68, 82)
ax.grid(True, alpha=0.3, color='#d1d5db')
for spine in ax.spines.values():
    spine.set_color('#d1d5db')

plt.tight_layout()
plt.show()