Color-Mapped Scatter 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 scatter plot that encodes a third continuous variable using a colormap, allowing visualization of three dimensions on a 2D plane. This visualization is essential for exploring multivariate relationships where the third variable represents intensity, magnitude, or any continuous measurement. A colorbar provides a reference scale for interpreting the color values.

Renders

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

Preview render from the Altair implementation.

Implementations

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