Basic Polar Chart 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 polar chart displays data points on a circular coordinate system where position is determined by angle (theta) and distance from center (radius). This visualization is ideal for cyclical patterns, directional data, or any dataset where angular relationships are meaningful. It reveals periodic trends and directional distributions that would be obscured in Cartesian coordinates.

Renders

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

Preview render from the D3.js implementation.

Implementations

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