Dendrogram

Radial Single Linkage Light

Light theme single linkage in radial dendrogram format

Output
Radial Single Linkage Light
Python
import matplotlib.pyplot as plt
import numpy as np
from scipy.cluster.hierarchy import dendrogram, linkage, set_link_color_palette

np.random.seed(258)

n = 14
labels = [f'X{i}' for i in range(1, n+1)]
data = np.random.rand(n, 5) * 50
Z = linkage(data, method='single')

fig_temp, ax_temp = plt.subplots()
set_link_color_palette(['#F527B0', '#27D3F5', '#6CF527', '#F5B027', '#4927F5'])
dn = dendrogram(Z, labels=labels, no_plot=False, color_threshold=0.5*max(Z[:,2]),
                above_threshold_color='#9ca3af', ax=ax_temp)
plt.close(fig_temp)

icoord = np.array(dn['icoord'])
dcoord = np.array(dn['dcoord'])
colors = dn['color_list']

x_min, x_max = icoord.min(), icoord.max()
y_max = dcoord.max()

def to_polar(x, y):
    theta = (x - x_min) / (x_max - x_min) * 2 * np.pi * 0.9 + np.pi * 0.05
    r = y / y_max * 0.5 + 0.45
    return theta, r

fig, ax = plt.subplots(figsize=(10, 10), subplot_kw={'projection': 'polar'}, facecolor='#ffffff')
ax.set_facecolor('#ffffff')

# Radial grid lines
for angle in np.linspace(0, 2*np.pi, 13)[:-1]:
    ax.plot([angle, angle], [0.4, 0.98], color='#e5e7eb', linewidth=0.8, alpha=0.6)

for ic, dc, color in zip(icoord, dcoord, colors):
    thetas, rs = [], []
    for x, y in zip(ic, dc):
        t, r = to_polar(x, y)
        thetas.append(t)
        rs.append(r)
    
    ax.plot([thetas[0], thetas[1]], [rs[0], rs[1]], color=color, linewidth=2.5, alpha=0.9)
    ax.plot([thetas[2], thetas[3]], [rs[2], rs[3]], color=color, linewidth=2.5, alpha=0.9)
    if thetas[1] != thetas[2]:
        arc_thetas = np.linspace(min(thetas[1], thetas[2]), max(thetas[1], thetas[2]), 40)
        ax.plot(arc_thetas, [rs[1]]*len(arc_thetas), color=color, linewidth=2.5, alpha=0.9)

leaf_positions = np.linspace(x_min, x_max, n)
for i, (pos, label) in enumerate(zip(leaf_positions, dn['ivl'])):
    theta, _ = to_polar(pos, 0)
    rotation = np.degrees(theta) - 90 if np.pi/2 < theta < 3*np.pi/2 else np.degrees(theta) + 90
    ha = 'right' if np.pi/2 < theta < 3*np.pi/2 else 'left'
    ax.text(theta, 0.32, label, ha=ha, va='center', fontsize=9, color='#F527B0',
            rotation=rotation, rotation_mode='anchor', fontweight='bold')
    
    color = ['#F527B0', '#27D3F5', '#6CF527', '#F5B027', '#4927F5'][i % 5]
    ax.scatter(theta, 0.45, c=color, s=55, zorder=5, edgecolor='#ffffff', linewidth=1)

ax.set_ylim(0, 1.02)
ax.set_yticklabels([])
ax.set_xticklabels([])
ax.spines['polar'].set_visible(False)
ax.grid(False)

ax.set_title('Single Linkage - Radial View', fontsize=14, color='#1f2937', fontweight='bold', y=1.08)

plt.tight_layout()
plt.show()
Library

Matplotlib

Category

Statistical

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