Cloud Provider Market Share Stream

import matplotlib.pyplot as plt
import numpy as np

COLORS = {
    'background': '#0a0a0f',
    'text': '#ffffff',
    'grid': '#333333',
}

np.random.seed(202)
quarters = np.arange(0, 32)  # 8 years quarterly

# Cloud providers
aws = 35 + 0.2 * quarters + 3 * np.sin(quarters * np.pi / 8) + np.random.normal(0, 1, 32)
azure = 15 + 0.5 * quarters + 2 * np.cos(quarters * np.pi / 6) + np.random.normal(0, 1, 32)
gcp = 8 + 0.3 * quarters + np.random.normal(0, 1, 32)
alibaba = 5 + 0.2 * quarters + np.random.normal(0, 0.5, 32)
oracle = 3 + 0.1 * quarters + np.random.normal(0, 0.3, 32)
others = 15 - 0.1 * quarters + np.random.normal(0, 1, 32)

data = [np.clip(d, 1, None) for d in [aws, azure, gcp, alibaba, oracle, others]]
provider_colors = ['#FF9900', '#0089D6', '#4285F4', '#FF6A00', '#F80000', '#27F5B0']

fig, ax = plt.subplots(figsize=(14, 6), facecolor=COLORS['background'])
ax.set_facecolor(COLORS['background'])

ax.stackplot(quarters, *data, colors=provider_colors, alpha=0.85, baseline='sym',
             labels=['AWS', 'Azure', 'GCP', 'Alibaba', 'Oracle', 'Others'])

ax.axhline(0, color=COLORS['grid'], linewidth=0.5, alpha=0.5)
ax.set_xlim(0, 31)

ax.set_title('Cloud Provider Market Share (Quarterly)', color=COLORS['text'], fontsize=14, fontweight='bold', pad=15)
ax.set_xlabel('Quarter', color=COLORS['text'], fontsize=11)
ax.set_ylabel('Market Share (%)', color=COLORS['text'], fontsize=11)

ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.12), frameon=False, labelcolor=COLORS['text'], fontsize=9, ncol=5)

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

plt.tight_layout()
plt.subplots_adjust(bottom=0.18)
plt.show()