Telemedicine Visits by Specialty Stream

import matplotlib.pyplot as plt
import numpy as np

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

np.random.seed(3535)
months = np.arange(0, 36)

primary_care = 35 + 1.2 * months + 5 * np.sin(months * np.pi / 6) + np.random.normal(0, 2, 36)
mental_health = 20 + 1.5 * months + np.random.normal(0, 2, 36)
dermatology = 15 + 0.5 * months + np.random.normal(0, 1, 36)
urgent_care = 18 + 0.8 * months + 8 * ((months > 20) & (months < 28)) + np.random.normal(0, 2, 36)
specialist = 12 + 0.4 * months + np.random.normal(0, 1, 36)

data = [np.clip(d, 1, None) for d in [primary_care, mental_health, dermatology, urgent_care, specialist]]
colors = ['#27D3F5', '#F5276C', '#F5B027', '#6CF527', '#4927F5']

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

ax.stackplot(months, *data, colors=colors, alpha=0.85, baseline='sym',
             labels=['Primary Care', 'Mental Health', 'Dermatology', 'Urgent Care', 'Specialists'])

ax.axhline(0, color=COLORS['grid'], linewidth=0.5, alpha=0.5)
ax.set_xlim(0, 35)

ax.set_title('Telemedicine Visits by Specialty', color=COLORS['text'], fontsize=14, fontweight='bold', pad=15)
ax.set_xlabel('Month', color=COLORS['text'], fontsize=11)
ax.set_ylabel('Visits (thousands)', 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()