## plot.plot_cross_validation()


Plot observed and forecast values from all cross-validation folds.


Usage

``` python
plot.plot_cross_validation(
    historic,
    forecast,
    metric,
    area,
    start_date=None,
    end_date=None,
    forecast_colour=None,
    forecast_name="Forecast"
)
```


## Parameters


`historic: pd.DataFrame`  
Historic data.

`forecast: pd.DataFrame`  
Forecast results.

`metric: str`  
Name of metric.

`area: str`  
Name of area.

`start_date: pd.Timestamp = None`  
Date to show data from.

`end_date: pd.Timestamp = None`  
Date to show data up to.

`forecast_colour: str = None`  
Colour for the forecast line and prediction interval.

`forecast_name: str = ``"Forecast"`  
Label to use for forecast in title of the plot.


## Returns


`matplotlib.figure.Figure`  
Forecast figure.