Compare multiple metrics with a radar chart

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Compare multiple metrics with a radar chart

Created: Last updated: Read time: 1 min

This example compares KPIs for Product A and B using a radar chart built on polar axes in matplotlib.

import numpy as np
import matplotlib.pyplot as plt

metrics = ["UX", "Features", "Stability", "Speed", "Support"]
values_a = np.array([4.2, 4.5, 4.0, 3.9, 4.4])
values_b = np.array([3.8, 4.1, 4.3, 4.5, 3.7])

angles = np.linspace(0, 2 * np.pi, len(metrics), endpoint=False)
values_a = np.concatenate((values_a, [values_a[0]]))
values_b = np.concatenate((values_b, [values_b[0]]))
angles = np.concatenate((angles, [angles[0]]))

fig, ax = plt.subplots(figsize=(5, 5), subplot_kw=dict(polar=True))
ax.plot(angles, values_a, color="#2563eb", linewidth=2, label="Product A")
ax.fill(angles, values_a, color="#2563eb", alpha=0.25)
ax.plot(angles, values_b, color="#f97316", linewidth=2, label="Product B")
ax.fill(angles, values_b, color="#f97316", alpha=0.25)

ax.set_xticks(angles[:-1])
ax.set_xticklabels(metrics)
ax.set_yticks([3, 4, 5])
ax.set_ylim(0, 5)
ax.set_title("KPI comparison radar chart")
ax.legend(loc="upper right", bbox_to_anchor=(1.3, 1.1))

fig.tight_layout()

plt.show()

Radar charts compare profiles at a glance.

Reading tips #

  • Larger area means stronger performance; overlap makes differences obvious.
  • Keep angles evenly spaced; too many metrics reduce readability.
  • Supplement key metrics with bar charts and numeric labels for clarity.