Neon Glow Clusters Dark

import matplotlib.pyplot as plt
import numpy as np
from scipy.cluster.hierarchy import dendrogram, linkage, fcluster, set_link_color_palette
from matplotlib.patches import Rectangle, FancyBboxPatch

np.random.seed(789)

labels = ['Node_' + str(i) for i in range(1, 13)]
data = np.random.rand(len(labels), 5) * 60
Z = linkage(data, method='complete')

fig, ax = plt.subplots(figsize=(14, 8), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

set_link_color_palette(['#F5276C', '#27D3F5', '#6CF527', '#F5B027'])

dn = dendrogram(Z, labels=labels, leaf_rotation=0, leaf_font_size=11,
                color_threshold=0.5*max(Z[:,2]), above_threshold_color='#444444', ax=ax)

# Add glowing cluster boxes
clusters = fcluster(Z, t=4, criterion='maxclust')
glow_colors = [('#F5276C', '#F5276C22'), ('#27D3F5', '#27D3F522'), 
               ('#6CF527', '#6CF52722'), ('#F5B027', '#F5B02722')]
ivl = dn['ivl']
leaves = dn['leaves']

cluster_ranges = {}
for i, leaf in enumerate(leaves):
    c = clusters[leaf]
    if c not in cluster_ranges:
        cluster_ranges[c] = [i, i]
    else:
        cluster_ranges[c][1] = i

for c, (start, end) in cluster_ranges.items():
    edge_color, fill_color = glow_colors[(c-1) % len(glow_colors)]
    # Glow effect with multiple rectangles
    for offset, alpha in [(3, 0.1), (2, 0.15), (1, 0.2)]:
        rect = FancyBboxPatch((start*10 - 5 - offset, -offset), 
                              (end - start + 1)*10 + 2*offset, 
                              max(Z[:,2])*0.9 + 2*offset,
                              boxstyle='round,pad=0.02', facecolor=fill_color, 
                              edgecolor=edge_color, linewidth=0.5, alpha=alpha, zorder=0)
        ax.add_patch(rect)

ax.set_title('Network Clustering with Neon Glow Effect', fontsize=15, 
             color='white', fontweight='bold', pad=20)
ax.set_xlabel('Nodes', fontsize=11, color='#888888')
ax.set_ylabel('Distance', fontsize=11, color='#888888')
ax.tick_params(axis='both', colors='#888888', labelsize=10)
for spine in ax.spines.values():
    spine.set_visible(False)

plt.tight_layout()
plt.show()