Food Nutrition Profile Analysis

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(357)

# Food nutrition data
n_foods = 150

calories = np.random.uniform(50, 600, n_foods)
protein = np.random.uniform(0, 40, n_foods)
fiber = np.random.uniform(0, 15, n_foods)

# Food category
categories = np.random.choice(['Fruits', 'Vegetables', 'Grains', 'Proteins', 'Dairy'], n_foods)
cat_colors = {
    'Fruits': '#F5276C',
    'Vegetables': '#6CF527', 
    'Grains': '#F5B027',
    'Proteins': '#F54927',
    'Dairy': '#27D3F5'
}
colors = [cat_colors[c] for c in categories]

fig = plt.figure(figsize=(10, 8), facecolor='#ffffff')
ax = fig.add_subplot(111, projection='3d', facecolor='#ffffff')

ax.scatter(calories, protein, fiber, c=colors, s=60, 
           alpha=0.7, edgecolors='#374151', linewidths=0.3)

ax.set_xlabel('Calories (kcal/100g)', color='#1f2937', fontsize=10)
ax.set_ylabel('Protein (g/100g)', color='#1f2937', fontsize=10)
ax.set_zlabel('Fiber (g/100g)', color='#1f2937', fontsize=10)
ax.set_title('Food Nutrition Profile Analysis', color='#1f2937', fontsize=14, fontweight='bold', pad=20)

ax.tick_params(colors='#6b7280', labelsize=8)
ax.xaxis.pane.fill = False
ax.yaxis.pane.fill = False
ax.zaxis.pane.fill = False
ax.xaxis.pane.set_edgecolor('#e5e7eb')
ax.yaxis.pane.set_edgecolor('#e5e7eb')
ax.zaxis.pane.set_edgecolor('#e5e7eb')

ax.view_init(elev=20, azim=45)
plt.tight_layout()
plt.show()