# theme_survival()


A light, publication-ready plotnine theme for survival plots.


Usage

``` python
theme_survival()
```


Applies a minimal theme with the legend at the top and minor grid lines removed, giving survival curves a clean look suitable for journal figures.


## Returns


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


## Examples

Apply the survival theme to a Kaplan-Meier plot:


``` python
import greenwood as gw

# Load data and fit a stratified Kaplan-Meier estimator
lung = gw.load_dataset("lung", backend="polars")
km = gw.KaplanMeier().fit("Surv(time, status) ~ sex", data=lung)

# Apply the survival theme to the plot
gw.plot_survival(km, backend="plotnine") + gw.theme_survival()
```


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