GitHub Contributions Calendar

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LinearSegmentedColormap
import matplotlib.patches as mpatches

np.random.seed(42)

# Generate 365 days of contribution data
days = 365
contributions = np.random.exponential(2, days).astype(int)
contributions = np.clip(contributions, 0, 15)
# Add some zero days for realism
contributions[np.random.choice(days, size=80, replace=False)] = 0

# Reshape into weeks (52 weeks x 7 days)
weeks = 53
data = np.zeros((7, weeks))
for i, val in enumerate(contributions):
    week = i // 7
    day = i % 7
    if week < weeks:
        data[day, week] = val

# Custom GitHub-style colormap
colors_dark = ['#0a0a0f', '#0e4429', '#006d32', '#26a641', '#39d353']
cmap = LinearSegmentedColormap.from_list('github', colors_dark, N=256)

fig, ax = plt.subplots(figsize=(16, 4), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

# Create heatmap
im = ax.imshow(data, cmap=cmap, aspect='auto', vmin=0, vmax=15)

# Style
ax.set_yticks(range(7))
ax.set_yticklabels(['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'], fontsize=9, color='#e2e8f0')
ax.set_xticks(range(0, 52, 4))
ax.set_xticklabels(['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec', ''], 
                   fontsize=9, color='#e2e8f0')

ax.set_title('GitHub Contributions - 2024', fontsize=16, color='white', fontweight='bold', pad=15)

# Add grid lines between cells
for i in range(8):
    ax.axhline(y=i-0.5, color='#1e293b', linewidth=0.5)
for i in range(weeks+1):
    ax.axvline(x=i-0.5, color='#1e293b', linewidth=0.5)

ax.tick_params(colors='#e2e8f0', length=0)
for spine in ax.spines.values():
    spine.set_visible(False)

# Legend
legend_elements = [mpatches.Patch(facecolor=c, label=l, edgecolor='#334155') 
                   for c, l in zip(colors_dark, ['None', 'Low', 'Medium', 'High', 'Very High'])]
ax.legend(handles=legend_elements, loc='upper left', bbox_to_anchor=(0, -0.15), ncol=5, 
          fontsize=8, facecolor='#1e293b', edgecolor='#334155', labelcolor='white', title='Activity Level',
          title_fontsize=9)

# Stats annotation
total = int(np.sum(contributions))
ax.annotate(f'{total} contributions in the last year', xy=(0.98, 1.1), xycoords='axes fraction',
            fontsize=11, color='#6CF527', ha='right', fontweight='bold')

plt.tight_layout()
plt.subplots_adjust(bottom=0.25)
plt.show()