Programming Language Trends Stream

import matplotlib.pyplot as plt
import numpy as np

COLORS = {
    'layers': ['#3776AB', '#F7DF1E', '#00599C', '#E34F26', '#4FC08D', '#FF6F00'],
    'background': '#ffffff',
    'text': '#1f2937',
    'grid': '#e5e7eb',
}

np.random.seed(101)
years = np.arange(2010, 2025)
n = len(years)

# Language popularity
python = 10 + 4 * (years - 2010) + np.random.normal(0, 2, n)
javascript = 40 + 2 * (years - 2010) + 5 * np.sin((years - 2012) * np.pi / 5) + np.random.normal(0, 2, n)
cpp = 25 - 0.5 * (years - 2010) + np.random.normal(0, 2, n)
rust = 2 + 3 * (years - 2015) * (years > 2015) + np.random.normal(0, 1, n)
go = 5 + 2 * (years - 2012) * (years > 2012) + np.random.normal(0, 1, n)
typescript = 3 + 4 * (years - 2016) * (years > 2016) + np.random.normal(0, 1, n)

data = [np.clip(d, 1, None) for d in [python, javascript, cpp, rust, go, typescript]]

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

ax.stackplot(years, *data, colors=COLORS['layers'], alpha=0.85, baseline='sym',
             labels=['Python', 'JavaScript', 'C++', 'Rust', 'Go', 'TypeScript'])

ax.axhline(0, color=COLORS['grid'], linewidth=0.5)
ax.set_xlim(2010, 2024)

ax.set_title('Programming Language Popularity (2010-2024)', color=COLORS['text'], fontsize=14, fontweight='bold', pad=15)
ax.set_xlabel('Year', color=COLORS['text'], fontsize=11)
ax.set_ylabel('Popularity Index', color=COLORS['text'], fontsize=11)

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

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

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