Fitness Activity Calories Horizon

import matplotlib.pyplot as plt
import numpy as np

COLORS = {
    'bands': ['#4d1a30', '#802050', '#F43F5E', '#FDA4AF'],
    'background': '#0a0a0f',
    'text': '#ffffff',
}

np.random.seed(3434)
minutes = np.arange(0, 1440)  # 24 hours
# Calories: BMR base + activity spikes
bmr_rate = 1.2  # cal/min base
morning_workout = 8 * np.exp(-((minutes - 420)**2) / 1000)  # 7am workout
lunch_walk = 3 * np.exp(-((minutes - 780)**2) / 500)  # 1pm walk
evening_activity = 5 * np.exp(-((minutes - 1140)**2) / 800)  # 7pm activity
calories = bmr_rate + morning_workout + lunch_walk + evening_activity + np.random.exponential(0.5, len(minutes))
calories = np.clip(calories, 0.8, 12)
calories_norm = (calories - 0.8) / 11.2

fig, ax = plt.subplots(figsize=(14, 3), facecolor=COLORS['background'])
ax.set_facecolor(COLORS['background'])

band = 0.25

ax.fill_between(minutes, 0, np.clip(calories_norm, 0, band), color=COLORS['bands'][0])
ax.fill_between(minutes, 0, np.clip(calories_norm - band, 0, band), color=COLORS['bands'][1])
ax.fill_between(minutes, 0, np.clip(calories_norm - 2*band, 0, band), color=COLORS['bands'][2])
ax.fill_between(minutes, 0, np.clip(calories_norm - 3*band, 0, band), color=COLORS['bands'][3])

ax.set_xlim(0, 1439)
ax.set_ylim(0, 0.3)

ax.set_title('Calorie Burn Rate (cal/min)', color=COLORS['text'], fontsize=12, fontweight='bold', pad=10)
ax.set_xlabel('Time', color=COLORS['text'], fontsize=10)
ax.set_ylabel('Cal/min', color=COLORS['text'], fontsize=10)
ax.set_xticks([0, 360, 720, 1080, 1440])
ax.set_xticklabels(['00:00', '06:00', '12:00', '18:00', '24:00'])

for spine in ax.spines.values():
    spine.set_visible(False)
ax.tick_params(colors=COLORS['text'], labelsize=9)

plt.tight_layout()
plt.show()