## theme_forest()


A minimal plotnine theme for forest plots.


Usage

``` python
theme_forest()
```


Returns a composable plotnine theme object suitable for forest plots of hazard ratios or other contrasts. Horizontal grid lines are suppressed. The y-axis line is removed so the term labels stand alone.


## Returns


`plotnine.theme`  
A composable theme object. Add it to a `ggplot` with `+`.


## Examples

Apply the forest theme to a forest plot of Cox model hazard ratios:


``` python
import greenwood as gw

# Load data and fit a Cox model with two covariates
lung = gw.load_dataset("lung", backend="polars")
y = gw.Surv.right(lung["time"], event=(lung["status"] == 2))
cox = gw.CoxPH().fit(y, lung[["age", "sex"]])

# Draw a forest plot and apply the minimal forest theme
gw.plot_forest(cox, backend="plotnine") + gw.theme_forest()
```


<figure class="figure">
<p><img src="theme_forest_files/figure-html/cell-2-output-1.png" class="figure-img" width="672" height="480" /></p>
</figure>