Frequency Spectrum Plot in Python, R, Julia and JavaScript

Source code in 15 libraries — Python: Altair, Bokeh, lets-plot, Matplotlib, Plotly, plotnine, Pygal, Seaborn; R: ggplot2; Julia: Makie.jl; JavaScript: Chart.js, D3.js, Apache ECharts, Highcharts, MUI X Charts.

A frequency spectrum plot displays signal amplitude or power across a range of frequencies, showing the frequency domain representation of time-series data. This visualization reveals the frequency components present in a signal, making it essential for identifying dominant frequencies, harmonics, and noise characteristics. It is fundamental in signal processing, audio engineering, and vibration analysis.

Renders

• Full-resolution render, light theme
• Full-resolution render, dark theme
• Interactive version, light theme
• Interactive version, dark theme

Preview render from the lets-plot implementation.

Implementations

• Frequency Spectrum Plot in Altair (Python)
• Frequency Spectrum Plot in Bokeh (Python)
• Frequency Spectrum Plot in lets-plot (Python)
• Frequency Spectrum Plot in Matplotlib (Python)
• Frequency Spectrum Plot in Plotly (Python)
• Frequency Spectrum Plot in plotnine (Python)
• Frequency Spectrum Plot in Pygal (Python)
• Frequency Spectrum Plot in Seaborn (Python)
• Frequency Spectrum Plot in ggplot2 (R)
• Frequency Spectrum Plot in Makie.jl (Julia)
• Frequency Spectrum Plot in Chart.js (JavaScript)
• Frequency Spectrum Plot in D3.js (JavaScript)
• Frequency Spectrum Plot in Apache ECharts (JavaScript)
• Frequency Spectrum Plot in Highcharts (JavaScript)
• Frequency Spectrum Plot in MUI X Charts (JavaScript)