Cloud Function Execution Time

import matplotlib.pyplot as plt
import numpy as np
from scipy import stats

np.random.seed(1010)

functions = ['Auth', 'Payment', 'Search', 'Upload', 'Notify', 'Report']
colors = ['#27D3F5', '#6CF527', '#F5B027', '#F5276C', '#4927F5', '#27F5B0']

data = {
    'Auth': np.random.lognormal(2, 0.5, 500),
    'Payment': np.random.lognormal(3, 0.6, 500),
    'Search': np.random.lognormal(2.5, 0.55, 500),
    'Upload': np.random.lognormal(4, 0.8, 500),
    'Notify': np.random.lognormal(1.5, 0.4, 500),
    'Report': np.random.lognormal(4.5, 0.9, 500)
}

fig, ax = plt.subplots(figsize=(12, 8), facecolor='#050510')
ax.set_facecolor('#050510')

overlap = 1.7
x_range = np.linspace(0, 200, 300)

for i, (func, time) in enumerate(data.items()):
    time = np.clip(time, 0, 200)
    kde = stats.gaussian_kde(time, bw_method=0.3)
    y = kde(x_range) * 4
    baseline = i * overlap
    
    for w, a in [(14, 0.08), (10, 0.12), (6, 0.22), (3, 0.45)]:
        ax.plot(x_range, y + baseline, color=colors[i], linewidth=w, alpha=a)
    
    ax.fill_between(x_range, baseline, y + baseline, alpha=0.45, color=colors[i])
    ax.plot(x_range, y + baseline, color='white', linewidth=1.2, alpha=0.9)
    
    ax.text(-5, baseline + 0.15, func, fontsize=11, color=colors[i],
            ha='right', va='bottom', fontweight='600')

ax.set_xlim(-30, 200)
ax.set_ylim(-0.3, len(functions) * overlap + 2)
ax.set_xlabel('Execution Time (ms)', fontsize=12, color='#555555', fontweight='500')
ax.set_title('Cloud Function Execution Time', fontsize=16, color='white', fontweight='bold', pad=20)

ax.tick_params(axis='x', colors='#444444', labelsize=10)
ax.tick_params(axis='y', left=False, labelleft=False)
for spine in ax.spines.values():
    spine.set_visible(False)

plt.tight_layout()
plt.show()