AI authored to showcase ironpad capabilities.

Charts with Plot 📊

ironpad includes a built-in Plot helper that makes it easy to create charts. Under the hood it uses the plotters crate, but you don't need to set up backends or boilerplate: just call Plot::line, Plot::bar, or Plot::scatter.

All charts render as SVG and follow the notebook theme, so the same chart stays readable in light and dark.

Bar Charts

Use Plot::bar with (&str, f64) pairs. Great for categorical data.

Scatter Plots

Use Plot::scatter for visualizing point distributions. You can also customize the chart size with .size(width, height).

Combining Plot with Data

Since Plot produces an Svg, you can combine it with data output using tuples. The data flows to the next cell, and the chart displays alongside it.

Average temperature: 25.2°C

Tooltips & Point Labels

Plot supports two opt-in features for richer charts:

• .tooltips(true): adds hover tooltips to each data point (rendered as SVG <title> elements).
• .point_labels(true): draws the numeric value directly on each point or bar.

Both are off by default. Try hovering over the scatter points below, or reading the values on the bar chart!