Code Review Activity Calendar

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

np.random.seed(987)

days = 365
# More activity on weekdays
reviews = np.zeros(days)
for i in range(days):
    day_of_week = i % 7
    if day_of_week < 5:  # Weekday
        reviews[i] = np.random.choice([0, 1, 2, 3, 4, 5, 6], p=[0.1, 0.15, 0.25, 0.25, 0.15, 0.07, 0.03])
    else:  # Weekend
        reviews[i] = np.random.choice([0, 1, 2], p=[0.7, 0.2, 0.1])

weeks = 53
data = np.zeros((7, weeks))
for i, val in enumerate(reviews):
    week = i // 7
    day = i % 7
    if week < weeks:
        data[day, week] = val

# Blue to purple gradient
colors = ['#0a0a0f', '#1e1b4b', '#3730a3', '#4f46e5', '#818cf8', '#c7d2fe']
cmap = LinearSegmentedColormap.from_list('reviews', colors, N=256)

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

im = ax.imshow(data, cmap=cmap, aspect='auto', vmin=0, vmax=6)

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('Code Review Activity - PRs Reviewed per Day', fontsize=16, color='white', fontweight='bold', pad=15)

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_elements = [mpatches.Patch(facecolor=c, label=l, edgecolor='#334155') 
                   for c, l in zip(colors, ['0', '1', '2', '3', '4-5', '6+'])]
ax.legend(handles=legend_elements, loc='upper left', bbox_to_anchor=(0, -0.15), ncol=6, 
          fontsize=8, facecolor='#1e293b', edgecolor='#334155', labelcolor='white')

total = int(np.sum(reviews))
avg = np.mean(reviews[reviews > 0])
ax.annotate(f'{total} reviews | Avg {avg:.1f}/day when active', xy=(0.98, 1.1), xycoords='axes fraction',
            fontsize=11, color='#818cf8', ha='right', fontweight='bold')

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