# partial_effects()


Plot partial effects with confidence bands for each smooth term.


Usage

``` python
partial_effects(
    model,
    *,
    n_points=200,
    level=0.95,
)
```


For univariate `s()` terms, produces a line plot with a shaded confidence band. For bivariate `te()` and `ti()` terms, produces a heatmap of the partial effect with a companion SE panel.


## Parameters


`model: GAM`  
A fitted GAM.

`n_points: int = ``200`  
Number of evenly spaced points at which to evaluate each smooth. For 2-D smooths, the grid has approximately `sqrt(n_points)` points per side.

`level: float = ``0.95`  
Confidence level for the bands (the default is `0.95` -\> ±1.96 SE).


## Returns


`altair.VConcatChart or altair.Chart`  
One panel per smooth term (two for 2-D smooths), vertically concatenated.