Asymmetric Error Bars 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.

An asymmetric error bar plot displays data points with separate upper and lower error magnitudes, allowing different-sized bars extending above and below each point. This visualization is essential for representing skewed distributions, non-symmetric confidence intervals, or data where uncertainty differs in positive and negative directions. Common applications include percentile-based intervals, log-transformed data, and Bayesian credible intervals.

Renders

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

Preview render from the Seaborn implementation.

Implementations

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