# {py:mod}`causalis.scenarios.did.refutation.post_inference_plots`

```{py:module} causalis.scenarios.did.refutation.post_inference_plots
```

```{autodoc2-docstring} causalis.scenarios.did.refutation.post_inference_plots
:allowtitles:
```

## Module Contents

### Functions

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

* - {py:obj}`plot_did_post_inference_event_study <causalis.scenarios.did.refutation.post_inference_plots.plot_did_post_inference_event_study>`
  - ```{autodoc2-docstring} causalis.scenarios.did.refutation.post_inference_plots.plot_did_post_inference_event_study
    :summary:
    ```
* - {py:obj}`plot_did_influence_concentration <causalis.scenarios.did.refutation.post_inference_plots.plot_did_influence_concentration>`
  - ```{autodoc2-docstring} causalis.scenarios.did.refutation.post_inference_plots.plot_did_influence_concentration
    :summary:
    ```
````

### Data

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

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

### API

````{py:function} plot_did_post_inference_event_study(data_or_estimate: causalis.data_contracts.PanelDataDID | causalis.data_contracts.panel_did_estimate.CallawaySantAnnaDIDEstimate, estimate: typing.Optional[causalis.data_contracts.panel_did_estimate.CallawaySantAnnaDIDEstimate] = None, *, show_simultaneous: bool = True, figsize: typing.Tuple[float, float] = (9.0, 5.2), dpi: int = 220, font_scale: float = 1.05) -> matplotlib.pyplot.Figure
:canonical: causalis.scenarios.did.refutation.post_inference_plots.plot_did_post_inference_event_study

```{autodoc2-docstring} causalis.scenarios.did.refutation.post_inference_plots.plot_did_post_inference_event_study
```
````

````{py:function} plot_did_influence_concentration(data_or_estimate: causalis.data_contracts.PanelDataDID | causalis.data_contracts.panel_did_estimate.CallawaySantAnnaDIDEstimate, estimate: typing.Optional[causalis.data_contracts.panel_did_estimate.CallawaySantAnnaDIDEstimate] = None, *, top_n: int = 15, figsize: typing.Tuple[float, float] = (9.5, 5.2), dpi: int = 220, font_scale: float = 1.05) -> matplotlib.pyplot.Figure
:canonical: causalis.scenarios.did.refutation.post_inference_plots.plot_did_influence_concentration

```{autodoc2-docstring} causalis.scenarios.did.refutation.post_inference_plots.plot_did_influence_concentration
```
````

````{py:data} __all__
:canonical: causalis.scenarios.did.refutation.post_inference_plots.__all__
:value: >
   ['plot_did_post_inference_event_study', 'plot_did_influence_concentration']

```{autodoc2-docstring} causalis.scenarios.did.refutation.post_inference_plots.__all__
```

````
