Global Temperature Anomalies

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(42)

# Climate data - temperature anomalies by decade
decades = ['1960s', '1970s', '1980s', '1990s', '2000s', '2010s', '2020s']
anomaly = np.array([-0.05, 0.02, 0.18, 0.32, 0.52, 0.78, 1.02])
uncertainty = np.array([0.08, 0.07, 0.06, 0.05, 0.04, 0.03, 0.04])

fig, ax = plt.subplots(figsize=(10, 6), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

# Color based on anomaly value
colors = ['#27D3F5' if a < 0 else '#F54927' for a in anomaly]
alphas = [0.3 + 0.7 * abs(a) for a in anomaly]

for i, (d, a, u, c) in enumerate(zip(decades, anomaly, uncertainty, colors)):
    ax.errorbar(i, a, yerr=u, fmt='o', color=c, ecolor=c,
                elinewidth=2, capsize=6, capthick=2, markersize=12,
                markerfacecolor=c, markeredgecolor='white', markeredgewidth=2)

ax.axhline(y=0, color='#666', linestyle='--', linewidth=1, alpha=0.5)

# Trend line
z = np.polyfit(range(len(decades)), anomaly, 1)
p = np.poly1d(z)
ax.plot(range(len(decades)), p(range(len(decades))), '--', 
        color='#F5B027', linewidth=2, alpha=0.8, label=f'Trend: +{z[0]:.2f}°C/decade')

ax.fill_between(range(len(decades)), anomaly - uncertainty, anomaly + uncertainty,
                color='#F54927', alpha=0.15)

ax.set_xlabel('Decade', fontsize=11, color='white', fontweight='500')
ax.set_ylabel('Temperature Anomaly (°C)', fontsize=11, color='white', fontweight='500')
ax.set_title('Global Temperature Anomalies by Decade', fontsize=14, 
             color='white', fontweight='bold', pad=15)

ax.set_xticks(range(len(decades)))
ax.set_xticklabels(decades)
ax.legend(facecolor='#1a1a2e', edgecolor='#333', labelcolor='white', fontsize=10)
ax.tick_params(colors='#94a3b8', labelsize=9)
ax.grid(True, alpha=0.2, color='#4a4a6a')
for spine in ax.spines.values():
    spine.set_color('#333333')

plt.tight_layout()
plt.show()