Word Cloud
Music Production Cloud
Music creation and production terms
Output
Python
import matplotlib.pyplot as plt
from wordcloud import WordCloud
text = """Music Production Beat Making Producer DAW Ableton Logic FL Studio
MIDI Synthesizer Sampler Drum Machine VST Plugin Instrument Virtual
Mixing Mastering EQ Compression Reverb Delay Distortion Filter Effect
Melody Harmony Chord Progression Bass Kick Snare Hi-Hat Percussion
Genre Hip Hop Electronic Pop Rock R&B Soul Jazz House Techno Ambient
Release Single EP Album Streaming Spotify Distribution Collaboration
Sample Loop One Shot Stem Bounce Export WAV MP3 FLAC Bit Rate Quality"""
def music_vibrant(word, font_size, position, orientation, random_state=None, **kwargs):
colors = ['#dc2626', '#7c3aed', '#0891b2', '#059669', '#ca8a04']
return colors[hash(word) % len(colors)]
wordcloud = WordCloud(
width=1200, height=600,
background_color='#ffffff',
color_func=music_vibrant,
max_words=80,
max_font_size=125,
min_font_size=10,
relative_scaling=0.5
).generate(text)
fig, ax = plt.subplots(figsize=(12, 6), facecolor='#ffffff')
ax.imshow(wordcloud, interpolation='bilinear')
ax.axis('off')
plt.tight_layout(pad=0)
plt.show()
Library
Matplotlib
Category
Text Visualization
More Word Cloud examples
☕