Dendrogram
Programming Language Family Tree Light
Programming language similarity dendrogram with light theme
Output
Python
import matplotlib.pyplot as plt
import numpy as np
from scipy.cluster.hierarchy import dendrogram, linkage, set_link_color_palette
np.random.seed(789)
languages = ['Python', 'Ruby', 'JavaScript', 'TypeScript', 'Java', 'Kotlin',
'C++', 'C', 'Rust', 'Go', 'Swift', 'Objective-C', 'PHP', 'Perl']
features = np.random.rand(len(languages), 8) * 10
Z = linkage(features, method='ward')
fig, ax = plt.subplots(figsize=(14, 7), facecolor='#ffffff')
ax.set_facecolor('#ffffff')
set_link_color_palette(['#27D3F5', '#F5276C', '#6CF527', '#4927F5', '#F5B027'])
dn = dendrogram(Z, labels=languages, leaf_rotation=45, leaf_font_size=11,
color_threshold=0.55*max(Z[:,2]), above_threshold_color='#9ca3af', ax=ax)
ax.set_title('Programming Language Similarity Clustering', fontsize=15,
color='#1f2937', fontweight='bold', pad=18)
ax.set_xlabel('Language', fontsize=11, color='#374151')
ax.set_ylabel('Feature Distance', fontsize=11, color='#374151')
ax.tick_params(axis='both', colors='#374151', labelsize=10)
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color('#e5e7eb')
ax.spines['bottom'].set_color('#e5e7eb')
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Statistical
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