plot_dataset_with_forecast

def plot_dataset_with_forecast(df, df_forecast, title):
    data = []
    
    value = go.Scatter(
        x=df.index,
        y=df.value,
        mode="lines",
        name="values",
        marker=dict(),
        text=df.index,
        line=dict(color="rgba(0,0,0, 0.3)"),
    )
    data.append(value)

    forecast = go.Scatter(
        x=df_forecast.index,
        y=df_forecast.prediction,
        mode="lines",
        name="forecasted values",
        marker=dict(),
        text=df.index,
        line=dict(color="rgba(10,100,10, 0.3)"),
    )
    data.append(forecast)

    layout = dict(
        title=title,
        xaxis=dict(title="Date", ticklen=5, zeroline=False),
        yaxis=dict(title="Value", ticklen=5, zeroline=False),
    )

    fig = dict(data=data, layout=layout)
    iplot(fig)


plot_dataset_with_forecast(df, df_forecast, title='PJM East (PJME) Region: forecasted estimated energy consumption in Megawatts (MW)')