Plots and Figures

Knot captures plots from R and Python and embeds them in the document as SVG or PNG images.

R

Use typst(current_plot()) after your plotting code to capture the current graphics device:

```{r}
#| fig-width: 7
#| fig-height: 4
#| show: "output"
plot(mtcars$wt, mtcars$mpg, pch = 19, col = "steelblue",
     xlab = "Weight", ylab = "MPG")
abline(lm(mpg ~ wt, data = mtcars), col = "red")
typst(current_plot())
```

typst() is a helper function loaded into every R session by Knot. It saves the current plot to a file in the cache and tells Knot to embed it.

ggplot2

Use typst(p) to plot the ggplot object p:

```{r}
library(ggplot2)
p <- ggplot(mtcars, aes(wt, mpg)) +
  geom_point() +
  geom_smooth(method = "lm")
typst(p)
```

Python (Matplotlib)

```{python}
import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 2 * np.pi, 100)
plt.plot(x, np.sin(x))
plt.title("Sine wave")
typst(current_plot())
```

typst and current_plot are automatically available in every Python session.

Figure options

SVG is recommended for most plots — it scales perfectly at any zoom level and produces smaller files. Use PNG for plots with many thousands of points where SVG becomes slow to render.

Captions and cross-references

```{r}
#| label: fig-scatter
#| fig-cap: Weight vs fuel efficiency in the mtcars dataset.
#| show: "output"
plot(mtcars$wt, mtcars$mpg, pch = 19)
typst(current_plot())
```

@fig-scatter shows a clear negative relationship.