# {py:mod}`causalis.scenarios.unconfoundedness.refutation.unconfoundedness.love_plot`

```{py:module} causalis.scenarios.unconfoundedness.refutation.unconfoundedness.love_plot
```

```{autodoc2-docstring} causalis.scenarios.unconfoundedness.refutation.unconfoundedness.love_plot
:allowtitles:
```

## Module Contents

### Functions

````{list-table}
:class: autosummary longtable
:align: left

* - {py:obj}`love_plot <causalis.scenarios.unconfoundedness.refutation.unconfoundedness.love_plot.love_plot>`
  - ```{autodoc2-docstring} causalis.scenarios.unconfoundedness.refutation.unconfoundedness.love_plot.love_plot
    :summary:
    ```
````

### Data

````{list-table}
:class: autosummary longtable
:align: left

* - {py:obj}`__all__ <causalis.scenarios.unconfoundedness.refutation.unconfoundedness.love_plot.__all__>`
  - ```{autodoc2-docstring} causalis.scenarios.unconfoundedness.refutation.unconfoundedness.love_plot.__all__
    :summary:
    ```
````

### API

````{py:function} love_plot(data: causalis.dgp.causaldata.CausalData, estimate: causalis.data_contracts.causal_estimate.CausalEstimate, *, threshold: float = 0.1, figsize: typing.Optional[typing.Tuple[float, float]] = None, dpi: int = 220, font_scale: float = 1.1, save: typing.Optional[str] = None, save_dpi: typing.Optional[int] = None, transparent: bool = False) -> matplotlib.pyplot.Figure
:canonical: causalis.scenarios.unconfoundedness.refutation.unconfoundedness.love_plot.love_plot

```{autodoc2-docstring} causalis.scenarios.unconfoundedness.refutation.unconfoundedness.love_plot.love_plot
```
````

````{py:data} __all__
:canonical: causalis.scenarios.unconfoundedness.refutation.unconfoundedness.love_plot.__all__
:value: >
   ['love_plot']

```{autodoc2-docstring} causalis.scenarios.unconfoundedness.refutation.unconfoundedness.love_plot.__all__
```

````
