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

```{py:module} causalis.scenarios.unconfoundedness.refutation.overlap.reliability_plot
```

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

## Module Contents

### Functions

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

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

### Data

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

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

### API

````{py:function} plot_propensity_reliability(estimate: causalis.data_contracts.causal_estimate.CausalEstimate, data: typing.Optional[causalis.dgp.causaldata.CausalData] = None, *, n_bins: int = 10, show_recalibration: bool = True, annotate_metrics: bool = True, ax: typing.Optional[matplotlib.pyplot.Axes] = None, figsize: typing.Tuple[float, float] = (7.2, 6.2), dpi: int = 220, font_scale: float = 1.1, point_color: typing.Optional[typing.Any] = None, diagonal_color: typing.Any = '0.35', recalibration_color: typing.Any = 'C1', min_marker_size: float = 35.0, marker_size_scale: float = 250.0, save: typing.Optional[str] = None, save_dpi: typing.Optional[int] = None, transparent: bool = False) -> matplotlib.pyplot.Figure
:canonical: causalis.scenarios.unconfoundedness.refutation.overlap.reliability_plot.plot_propensity_reliability

```{autodoc2-docstring} causalis.scenarios.unconfoundedness.refutation.overlap.reliability_plot.plot_propensity_reliability
```
````

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

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

````
