Gauge Chart

Delivery Performance Rate

Logistics success metric with deep purple theme

Output
Delivery Performance Rate
Python
import matplotlib.pyplot as plt
from matplotlib.patches import Wedge, Circle, Polygon
import numpy as np

# Data
success = 96.8
max_value = 100

# Colors - Light theme
bg_color = '#ffffff'
track_color = '#f3f4f6'
arc_color = '#5314E6'
text_color = '#1f2937'
dim_color = '#9ca3af'

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')

# Track
ax.add_patch(Wedge((0.01, -0.01), 1.0, start_angle, end_angle, width=0.15,
                   facecolor='#000000', edgecolor='none', alpha=0.03))
ax.add_patch(Wedge((0, 0), 1.0, start_angle, end_angle, width=0.15,
                   facecolor=track_color, edgecolor='none'))

# SLA line at 95%
sla_ang = np.radians(end_angle - 0.95 * sweep)
ax.plot([0.86*np.cos(sla_ang), 1.02*np.cos(sla_ang)],
        [0.86*np.sin(sla_ang), 1.02*np.sin(sla_ang)], 
        color='#9ca3af', linewidth=2)

# Value arc
value_pct = success / 100
value_angle = start_angle + (1 - value_pct) * sweep
for r_off, w_off, alpha in [(0.03, 0.04, 0.15), (0.015, 0.02, 0.35), (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))

# Ticks
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='#d1d5db', 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
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)

ax.add_patch(Polygon([(nx+0.01, ny-0.01), (bx1+0.01, by1-0.01), (-bx1+0.01, -by1-0.01)],
                     facecolor='#000000', edgecolor='none', alpha=0.1))
ax.add_patch(Polygon([(nx, ny), (bx1, by1), (-bx1, -by1)], facecolor=text_color, edgecolor='none'))

# Hub
ax.add_patch(Circle((0.01, -0.01), 0.09, facecolor='#000000', edgecolor='none', alpha=0.08))
for r, c, a in [(0.10, arc_color, 0.2), (0.08, '#ffffff', 1), (0.06, arc_color, 0.9)]:
    ax.add_patch(Circle((0, 0), r, facecolor=c, edgecolor='none', alpha=a))

# Text
ax.text(0, -0.22, f'{success}%', fontsize=48, fontweight='bold', color=text_color, ha='center', va='center')
ax.text(0, -0.40, 'SUCCESS RATE', fontsize=12, color=dim_color, ha='center', va='center', fontweight='500')
ax.text(0, -0.56, '4,832 of 4,992 deliveries', fontsize=12, color=arc_color, ha='center', va='center', fontweight='600')
ax.text(0, 1.22, 'Delivery 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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