## pricing.severity_exposure_curve()


The exposure curve of a severity capped at the maximum possible loss


Usage


``` python
pricing.severity_exposure_curve(
    severity,
    mpl,
    x,
)
```


`mpl`: `G(x) = LEV(x mpl) / LEV(mpl)` at each [x](pricing.TabulatedCurve.md#prospicio.pricing.TabulatedCurve.x).


## Parameters


`severity: a severity`  

`mpl: float`  

`x: list of float`  


## Returns


`list of float`  


## Examples

``` python
>>> from prospicio.distributions import Pareto
>>> from prospicio.pricing import severity_exposure_curve
>>> g = severity_exposure_curve(Pareto(1e5, 1.5), 1e7, [0.0, 0.5, 1.0])
>>> g[0], round(g[2], 12), g[1] > 0.5
```

(0.0, 1.0, True)