Gauge Chart

Customer Churn Rate

Retention analytics with orange warning indicator

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

churn = 3.2
max_churn = 10
value = (churn / max_churn) * 100

bg_color = '#ffffff'
track_color = '#f3f4f6'
arc_color = '#27F5B0' if churn < 3 else '#F5B027' if churn < 5 else '#F54927'
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')

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

zones = [(0, 3, '#dcfce7'), (3, 5, '#fef3c7'), (5, 10, '#fee2e2')]
for z_start, z_end, z_color in zones:
    z_s_pct = z_start / max_churn
    z_e_pct = z_end / max_churn
    ax.add_patch(Wedge((0, 0), 1.0, end_angle - z_e_pct * sweep, end_angle - z_s_pct * sweep, width=0.15, facecolor=z_color, edgecolor='none'))

value_pct = value / 100
value_angle = start_angle + (1 - value_pct) * sweep
for r_off, w_off, alpha in [(0.03, 0.04, 0.2), (0.015, 0.02, 0.45), (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(6):
    pct = i / 5
    angle = np.radians(end_angle - pct * sweep)
    ax.plot([0.87*np.cos(angle), 0.80*np.cos(angle)], [0.87*np.sin(angle), 0.80*np.sin(angle)], color='#d1d5db', linewidth=2)
    ax.text(0.72*np.cos(angle), 0.72*np.sin(angle), f'{int(pct*max_churn)}%', fontsize=10, 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)

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'))

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))

ax.text(0, -0.22, f'{churn}%', fontsize=52, fontweight='bold', color=text_color, ha='center', va='center')
ax.text(0, -0.40, 'MONTHLY CHURN', fontsize=12, color=dim_color, ha='center', va='center', fontweight='500')
ax.text(0, -0.56, '-0.5% vs last month', fontsize=12, color=arc_color, ha='center', va='center', fontweight='600')
ax.text(0, 1.22, 'Customer Churn', 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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