display examples keywords frequency cloud tags graph / published by https://github.com/dacr/code-examples-manager #5ecc1661-bb03-40c5-af6f-6d95941b0855/d5b92297e95db10c18780bd6f60b38edf2036d46

cem-word-cloud.py

#!/usr/bin/env python3
## summary : display examples keywords frequency cloud tags graph
## keywords : python, examples, keywords
## publish : gist, corporate
## authors : David Crosson
## license : Apache NON-AI License Version 2.0 (https://raw.githubusercontent.com/non-ai-licenses/non-ai-licenses/main/NON-AI-APACHE2)
## id : 5ecc1661-bb03-40c5-af6f-6d95941b0855
## created-on : 2020-10-06T15:00:25Z
## managed-by : https://github.com/dacr/code-examples-manager
## execution : python 3 with pip requirements (numpy,matplotlib,wordcloud)  'python3 scriptname.sc'
## run-with : python3 $file

# apt install python3-pip
# pip3 install numpy
# pip3 install matplotlib
# pip3 install wordcloud
# python3 cem-word-cloud.py

import numpy as np
import matplotlib.pyplot as plt
from wordcloud import WordCloud
import subprocess

text = subprocess.getoutput("find .. -type f -exec egrep '^[-/# ]+keywords : ' {} \; | cut -d ':' -f 2 | tr -d ,")

wc = WordCloud(
   width=1200,
   height=800,
   background_color="white",
   repeat=False,
   regexp=r"[-_a-zA-Z0-9]+",
   collocations=False,
   normalize_plurals=False,
   colormap="tab10",
   max_words=500
)
wc.generate(text)

plt.axis("off")
plt.imshow(wc, interpolation="bilinear")
plt.tight_layout()
plt.show()

Yes first python script published