Gauge Chart

Cache Hit Ratio

Redis/Memcached performance with mint green efficiency theme

Output
Cache Hit Ratio
Python
import matplotlib.pyplot as plt
from matplotlib.patches import Wedge, Circle, Polygon
import numpy as np

hit_ratio = 96.2
bg_color = '#0a0a0f'
track_color = '#1a1a2e'
arc_color = '#27F5B0'
text_color = '#ffffff'
dim_color = '#6b7280'

start_angle, end_angle = -30, 210
sweep = end_angle - start_angle

fig, ax = plt.subplots(figsize=(10, 8), facecolor=bg_color)
ax.set_facecolor(bg_color)
ax.set_xlim(-1.4, 1.4)
ax.set_ylim(-0.5, 1.4)
ax.set_aspect('equal')
ax.axis('off')

ax.add_patch(Wedge((0, 0), 1.0, start_angle, end_angle, width=0.15, facecolor=track_color, edgecolor='none'))

target_ang = np.radians(end_angle - 0.95 * sweep)
ax.plot([0.86*np.cos(target_ang), 1.02*np.cos(target_ang)], [0.86*np.sin(target_ang), 1.02*np.sin(target_ang)], color='#4a4a5a', linewidth=2)

value_pct = hit_ratio / 100
value_angle = start_angle + (1 - value_pct) * sweep
for r_off, w_off, alpha in [(0.05, 0.06, 0.1), (0.03, 0.04, 0.2), (0.015, 0.02, 0.4), (0, 0, 0.95)]:
    ax.add_patch(Wedge((0, 0), 1.0 + r_off, value_angle, end_angle, width=0.15 + w_off, facecolor=arc_color, edgecolor='none', alpha=alpha))

for i in range(11):
    pct = i / 10
    angle = np.radians(end_angle - pct * sweep)
    r1, r2 = (0.87, 0.80) if i % 5 == 0 else (0.87, 0.83)
    ax.plot([r1*np.cos(angle), r2*np.cos(angle)], [r1*np.sin(angle), r2*np.sin(angle)], color='#3a3a4a', linewidth=2 if i%5==0 else 1)
    if i % 5 == 0:
        ax.text(0.72*np.cos(angle), 0.72*np.sin(angle), f'{int(pct*100)}', fontsize=11, color=dim_color, ha='center', va='center')

needle_angle = np.radians(end_angle - value_pct * sweep)
nx, ny = 0.62 * np.cos(needle_angle), 0.62 * np.sin(needle_angle)
perp = needle_angle + np.pi/2
bx1, by1 = 0.035 * np.cos(perp), 0.035 * np.sin(perp)

for scale, alpha in [(1.6, 0.1), (1.3, 0.2)]:
    ax.add_patch(Polygon([(nx*scale, ny*scale), (bx1*2, by1*2), (-bx1*2, -by1*2)], facecolor=arc_color, edgecolor='none', alpha=alpha))
ax.add_patch(Polygon([(nx, ny), (bx1, by1), (-bx1, -by1)], facecolor='#ffffff', edgecolor='none'))

for r, c, a in [(0.11, arc_color, 0.3), (0.09, arc_color, 0.5), (0.07, bg_color, 1), (0.05, arc_color, 0.9)]:
    ax.add_patch(Circle((0, 0), r, facecolor=c, edgecolor='none', alpha=a))

ax.text(0, -0.22, f'{hit_ratio}%', fontsize=50, fontweight='bold', color=text_color, ha='center', va='center')
ax.text(0, -0.40, 'HIT RATIO', fontsize=13, color=dim_color, ha='center', va='center', fontweight='500')
ax.text(0, -0.56, '1.2M hits / 1.25M requests', fontsize=11, color=arc_color, ha='center', va='center', fontweight='600')
ax.text(0, 1.22, 'Cache Performance', fontsize=18, fontweight='bold', color=text_color, ha='center', va='center')

plt.tight_layout()
plt.show()
Library

Matplotlib

Category

Part-to-Whole

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