Calorie Intake Calendar

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

np.random.seed(777)

days = 365
calories = np.random.normal(2000, 400, days).astype(int)
calories = np.clip(calories, 1000, 3500)

# Goal is 2000, show deviation
cal_levels = np.digitize(calories, bins=[0, 1500, 1800, 2000, 2200, 2500]) - 1

weeks = 53
data = np.zeros((7, weeks))
for i, val in enumerate(cal_levels):
    week = i // 7
    day = i % 7
    if week < weeks:
        data[day, week] = val

# Green at target, red at extremes
colors = ['#fef2f2', '#fee2e2', '#bbf7d0', '#22c55e', '#fde68a', '#fecaca']
cmap = LinearSegmentedColormap.from_list('calories', colors, N=256)

fig, ax = plt.subplots(figsize=(16, 4), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

im = ax.imshow(data, cmap=cmap, aspect='auto', vmin=0, vmax=5)

ax.set_yticks(range(7))
ax.set_yticklabels(['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'], fontsize=9, color='#374151')
ax.set_xticks(range(0, 52, 4))
ax.set_xticklabels(['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec', ''], 
                   fontsize=9, color='#374151')

ax.set_title('Daily Calorie Intake - Nutrition Tracker', fontsize=16, color='#111827', fontweight='bold', pad=15)

for i in range(8):
    ax.axhline(y=i-0.5, color='#e5e7eb', linewidth=0.5)
for i in range(weeks+1):
    ax.axvline(x=i-0.5, color='#e5e7eb', linewidth=0.5)

ax.tick_params(colors='#374151', length=0)
for spine in ax.spines.values():
    spine.set_visible(False)

legend_elements = [mpatches.Patch(facecolor=c, label=l, edgecolor='#d1d5db') 
                   for c, l in zip(colors, ['<1500', '1500-1800', '1800-2000', '2000-2200', '2200-2500', '>2500'])]
ax.legend(handles=legend_elements, loc='upper left', bbox_to_anchor=(0, -0.15), ncol=6, 
          fontsize=8, facecolor='white', edgecolor='#d1d5db', labelcolor='#374151')

on_target = int(np.sum((calories >= 1800) & (calories <= 2200)))
avg = int(np.mean(calories))
ax.annotate(f'On target: {on_target} days | Avg: {avg:,} cal/day', xy=(0.98, 1.1), xycoords='axes fraction',
            fontsize=10, color='#16a34a', ha='right', fontweight='bold')

plt.tight_layout()
plt.subplots_adjust(bottom=0.25)
plt.show()