Gauge Chart

Memory Utilization Gauge

RAM pressure monitoring with pink gradient indicator

Output
Memory Utilization Gauge
Python
import matplotlib.pyplot as plt
from matplotlib.patches import Wedge, Circle, Polygon
import numpy as np

# Data
used_gb = 14.2
total_gb = 16
value = (used_gb / total_gb) * 100

# Colors
bg_color = '#0a0a0f'
track_color = '#1a1a2e'
arc_color = '#F527B0'
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')

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

# Value arc
value_pct = value / 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))

# 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='#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
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'))

# Hub
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))

# Text
ax.text(0, -0.22, f'{value:.0f}%', fontsize=52, fontweight='bold', color=text_color, ha='center', va='center')
ax.text(0, -0.40, f'{used_gb:.1f} / {total_gb:.0f} GB', fontsize=14, color=arc_color, ha='center', va='center', fontweight='600')
pressure = 'CRITICAL' if value > 90 else 'HIGH' if value > 75 else 'NORMAL'
pressure_color = '#F54927' if value > 90 else '#F5B027' if value > 75 else '#27F5B0'
ax.text(0, -0.56, f'PRESSURE: {pressure}', fontsize=11, color=pressure_color, ha='center', va='center', fontweight='bold')
ax.text(0, 1.22, 'Memory Utilization', 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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