Protein vs Calorie Intake

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LinearSegmentedColormap

np.random.seed(42)

# Nutrition data
calories = np.concatenate([
    np.random.normal(1800, 300, 2000),
    np.random.normal(2500, 400, 2500),
    np.random.normal(3200, 350, 1000)
])
protein = calories * 0.04 + np.random.normal(0, 15, len(calories))
protein = np.clip(protein, 20, 200)

fig, ax = plt.subplots(figsize=(10, 8), facecolor='#020B14')
ax.set_facecolor('#020B14')

# Custom colormap: amber to coral
colors = ['#020B14', '#2d1a0d', '#F5B027', '#F5276C']
cmap = LinearSegmentedColormap.from_list('amber_coral', colors, N=256)

h = ax.hist2d(calories, protein, bins=45, cmap=cmap, cmin=1)
cbar = plt.colorbar(h[3], ax=ax, pad=0.02)
cbar.set_label('Records', color='white', fontsize=11)
cbar.ax.yaxis.set_tick_params(color='white')
plt.setp(plt.getp(cbar.ax.axes, 'yticklabels'), color='white')

ax.set_xlabel('Daily Calories', fontsize=11, color='white', fontweight='500')
ax.set_ylabel('Protein (g)', fontsize=11, color='white', fontweight='500')
ax.set_title('Protein vs Calorie Intake', fontsize=14, color='white', fontweight='bold', pad=15)

ax.tick_params(colors='white', labelsize=9)
for spine in ax.spines.values():
    spine.set_color('#333333')

plt.tight_layout()
plt.show()