Nutrient Intake Weekly Tracker

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

fig, ax = plt.subplots(figsize=(12, 7), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

np.random.seed(42)
nutrients = ['Protein', 'Carbs', 'Fiber', 'Vitamin C', 'Iron', 'Calcium']
days = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']
data = np.random.randint(40, 120, (len(nutrients), len(days)))

# Modern gradient: Amber to Yellow (energetic)
colors = ['#fef3c7', '#fde68a', '#fbbf24', '#f59e0b', '#b45309']
cmap = LinearSegmentedColormap.from_list('modern', colors, N=256)

im = ax.imshow(data, cmap=cmap, aspect='auto', vmin=0, vmax=120)

ax.set_xticks(range(len(days)))
ax.set_yticks(range(len(nutrients)))
ax.set_xticklabels(days, color='#374151', fontsize=11, fontweight='500')
ax.set_yticklabels(nutrients, color='#1f2937', fontsize=10, fontweight='500')

for i in range(len(nutrients)):
    for j in range(len(days)):
        val = data[i, j]
        color = '#ffffff' if val > 90 else '#1f2937'
        ax.text(j, i, f'{val}%', ha='center', va='center', color=color, fontsize=10, fontweight='bold')

cbar = plt.colorbar(im, ax=ax, shrink=0.8, pad=0.02)
cbar.set_label('Daily Goal (%)', color='#1f2937', fontsize=11)
cbar.outline.set_edgecolor('#e5e7eb')
plt.setp(plt.getp(cbar.ax.axes, 'yticklabels'), color='#6b7280')

for spine in ax.spines.values():
    spine.set_color('#e5e7eb')
ax.set_title('Weekly Nutrient Intake Tracker', fontsize=16, color='#111827', fontweight='bold', pad=15)
plt.tight_layout()
plt.show()